Publications
Machine learning-based discovery of vibrationally stable materials
S Tawfik, M Rashid, S Gupta, S Russo, T Walsh, S Venkatesh
(2023), Vol. 9, npj Computational Materials, C1
Prescriptive analytics with differential privacy
H Harikumar, S Rana, S Gupta, T Nguyen, R Kaimal, S Venkatesh
(2022), Vol. 13, pp. 123-138, International Journal of Data Science and Analytics, C1
Verification of integrity of deployed deep learning models using Bayesian Optimization
D Kuttichira, S Gupta, D Nguyen, S Rana, S Venkatesh
(2022), Vol. 241, pp. 1-12, Knowledge-Based Systems, Amsterdam, The Netherlands, C1
Dual-frame spatio-temporal feature modulation for video enhancement
P Patil, S Gupta, S Rana, S Venkatesh
(2022), Vol. 130, pp. 1-14, Pattern Recognition, Amsterdam, The Netherlands, C1
K Deane, Y Yang, J Licavoli, V Nguyen, S Rana, S Gupta, S Venkatesh, P Sanders
(2022), Vol. 12, pp. 1-19, Metals, Basel, Switzerland, C1
Machine Learning-Aided Exploration of Ultrahard Materials
S Tawfik, P Nguyen, T Tran, T Walsh, S Venkatesh
(2022), Vol. 126, pp. 15952-15961, Journal of Physical Chemistry C, Washington, D.C., C1
A Werner-Seidler, K Maston, A Calear, P Batterham, M Larsen, M Torok, B O’Dea, K Huckvale, J Beames, L Brown, H Fujimoto, A Bartholomew, D Bal, S Schweizer, S Skinner, K Steinbeck, J Ratcliffe, J Oei, S Venkatesh, R Lingam, Y Perry, J Hudson, K Boydell, A Mackinnon, H Christensen
(2022), International Journal of Methods in Psychiatric Research, C1
Real-Time Skill Discovery in Intelligent Virtual Assistants
P Gopal, S Gupta, S Rana, V Le, T Nguyen, S Venkatesh
(2022), Vol. 13280, pp. 315-327, PAKDD 2022 : Proceedings of the 26th Pacific-Asia Conference on Knowledge Discovery and Data Mining 2022, Chengdu, China, E1
Learning Theory of Mind via Dynamic Traits Attribution
D Nguyen, P Nguyen, H Le, K Do, S Venkatesh, T Tran
(2022), Vol. 2, pp. 954-962, AAMAS 2022 : Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems 2022, Auckland, N.Z., E1
Learning to Transfer Role Assignment Across Team Sizes
D Nguyen, P Nguyen, S Venkatesh, T Tran
(2022), Vol. 2, pp. 963-971, Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS, E1
Persistent-Transient Duality in Human Behavior Modeling
H Tran, V Le, S Venkatesh, T Tran
(2022), Vol. 2022-June, pp. 2527-2530, IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, E1
GraphDTA: Predicting drug target binding affinity with graph neural networks
T Nguyen, H Le, T Quinn, T Nguyen, T Le, S Venkatesh
(2021), Vol. 37, pp. 1140-1147, Bioinformatics, England, C1-1
Coupling machine learning with 3D bioprinting to fast track optimisation of extrusion printing
K Ruberu, M Senadeera, S Rana, S Gupta, J Chung, Z Yue, S Venkatesh, G Wallace
(2021), Vol. 22, Applied Materials Today, C1
PAN: Personalized Annotation-Based Networks for the Prediction of Breast Cancer Relapse
T Nguyen, S Lee, T Quinn, B Truong, X Li, T Tran, S Venkatesh, T Le
(2021), Vol. 18, pp. 2841-2847, IEEE/ACM Transactions on Computational Biology and Bioinformatics, United States, C1
B O'Dea, T Boonstra, M Larsen, T Nguyen, S Venkatesh, H Christensen
(2021), Vol. 16, PLoS ONE, United States, C1
A Spatio-Temporal Attention-Based Model for Infant Movement Assessment from Videos
B Nguyen-Thai, V Le, C Morgan, N Badawi, T Tran, S Venkatesh
(2021), Vol. 25, pp. 3911-3920, IEEE Journal of Biomedical and Health Informatics, United States, C1
Predictive Model Based on Health Data Analysis for Risk of Readmission in Disease-Specific Cohorts
M Ansari, A Alok, D Jain, S Rana, S Gupta, R Salwan, S Venkatesh
(2021), Vol. 18, pp. 1-11, Perspectives in health information management, Chicago, Ill., C1
Fairness improvement for black-box classifiers with Gaussian process
D Nguyen, S Gupta, S Rana, A Shilton, S Venkatesh
(2021), Vol. 576, pp. 542-556, Information Sciences, C1
Personalized single-cell networks: a framework to predict the response of any gene to any drug for any patient
H Harikumar, T Quinn, S Rana, S Gupta, S Venkatesh
(2021), Vol. 14, BioData Mining, England, C1
J Joseph, M Senadeera, Q Chao, K Shamlaye, S Rana, S Gupta, S Venkatesh, P Hodgson, M Barnett, D Fabijanic
(2021), Vol. 888, Journal of Alloys and Compounds, C1
Identification of predictors and model for predicting prolonged length of stay in dengue patients
M Shahid Ansari, D Jain, H Harikumar, S Rana, S Gupta, S Budhiraja, S Venkatesh
(2021), Vol. 24, pp. 786-798, Health Care Management Science, Netherlands, C1
Hierarchical Conditional Relation Networks for Multimodal Video Question Answering
T Le, V Le, S Venkatesh, T Tran
(2021), Vol. 129, pp. 3027-3050, International Journal of Computer Vision, C1
Adaptive cost-aware Bayesian optimization[Formula presented]
P Luong, D Nguyen, S Gupta, S Rana, S Venkatesh
(2021), Vol. 232, Knowledge-Based Systems, C1
S Rana, W Luo, T Tran, S Venkatesh, P Talman, T Phan, D Phung, B Clissold
(2021), Vol. 12, Frontiers in Neurology, Switzerland, C1
S Ryan, J Berk, S Rana, B McDonald, S Venkatesh
(2021), pp. 1-15, Defence Technology, Amsterdam, The Netherlands, C1
Bayesian Optimization with Missing Inputs
P Luong, D Nguyen, S Gupta, S Rana, S Venkatesh
(2021), Vol. 12458, pp. 691-706, ECML PKDD 2020 : Joint European Conference on Machine Learning and Knowledge Discovery in Databases, Belgium, Ghent, E1
Scalable Backdoor Detection in Neural Networks
H Harikumar, V Le, S Rana, S Bhattacharya, S Gupta, S Venkatesh
(2021), Vol. 12458, pp. 289-304, ECML PKDD 2020 : Joint European Conference on Machine Learning and Knowledge Discovery in Databases, Belgium, Ghent, E1
Sparse Spectrum Gaussian Process for Bayesian Optimization
A Yang, C Li, S Rana, S Gupta, S Venkatesh
(2021), Vol. 12713, pp. 257-268, PAKDD 2021 : Advances in Knowledge Discovery and Data Mining : 25th Pacific-Asia Conference, PAKDD 2021, Virtual Event, May 11–14, 2021, Proceedings, Part I, Virtual Event, E1
Factor screening using Bayesian active learning and gaussian process meta-modelling
C Li, D Nguyen, S Rana, S Gupta, A Gill, S Venkatesh
(2021), pp. 3288-3295, ICPR 2020 : Proceedings of the 25th International Conference on Pattern Recognition, Online from Milan, Italy, E1
Semi-Supervised Learning with Variational Bayesian Inference and Maximum Uncertainty Regularization
Kien Do, Truyen Tran, Svetha Venkatesh
(2021), Vol. 35, pp. 7236-7244, AAAI 2021 : Proceedings of the 35th AAAI Conference on Artificial Intelligence, Virtual Event, E1
High Dimensional Level Set Estimation with Bayesian Neural Network
Huong Ha, Sunil Gupta, Santu Rana, Svetha Venkatesh
(2021), Vol. 35, pp. 12095-12103, AAAI 2021 : Proceedings of the 35th AAAI Conference on Artificial Intelligence, Virtual Event, E1
A New Representation of Successor Features for Transfer across Dissimilar Environments
Majid Abdolshah, Hung Le, Thommen George, Sunil Gupta, Santu Rana, Svetha Venkatesh
(2021), Vol. 139, pp. 1-14, ICML 2021 : Proceedings of the International Conference of Machine Learning, Virtual Conference, E1
Distributional Reinforcement Learning via Moment Matching
Thanh Nguyen, Sunil Gupta, Svetha Venkatesh
(2021), Vol. 35, pp. 9144-9152, AAAI 2021 : Proceedings of the 35th AAAI Conference on Artificial Intelligence, Virtual Event, E1
Knowledge Distillation with Distribution Mismatch
D Nguyen, S Gupta, T Nguyen, S Rana, P Nguyen, T Tran, K Le, S Ryan, S Venkatesh
(2021), Vol. 12976, pp. 250-265, ECML PKDD 2021 : Machine Learning and Knowledge Discovery in Databases. Research Track, Bilbao, Spain, E1
Fast Conditional Network Compression Using Bayesian HyperNetworks
P Nguyen, T Tran, K Le, S Gupta, S Rana, D Nguyen, T Nguyen, S Ryan, S Venkatesh
(2021), Vol. 12977, pp. 330-345, ECML PKDD 2021 : Machine Learning and Knowledge Discovery in Databases. Research Track, Bilbao, Spain, E1
Variational Hyper-encoding Networks
P Nguyen, T Tran, S Gupta, S Rana, H Dam, S Venkatesh
(2021), Vol. 12976, pp. 100-115, ECML PKDD 2021 : Machine Learning and Knowledge Discovery in Databases. Research Track, Bilbao, Spain, E1
Targeted Universal Adversarial Perturbations for Automatic Speech Recognition
W Zong, Y Chow, W Susilo, S Rana, S Venkatesh
(2021), Vol. 13118, pp. 358-373, ISC 2021 : Proceedings of the 24th Information Security International Conference, Virtual Event, E1
Learning asynchronous and sparse human-object interaction in videos
R Morais, V Le, S Venkatesh, T Tran
(2021), pp. 16036-16045, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Nashville, Tenn., E1
Clustering by Maximizing Mutual Information Across Views
K Do, T Tran, S Venkatesh
(2021), pp. 9908-9918, ICCV 2021 : Proceedings of the IEEE International Conference on Computer Vision, Virtual Conference, E1
Model-Based Episodic Memory Induces Dynamic Hybrid Controls
H Le, T George, M Abdolshah, T Tran, S Venkatesh
(2021), Vol. 36, pp. 1-26, NeurIPS 2021 : Proceedings of the 35th Conference on Neural Information Processing Systems, Virtual Conference, E1
Kernel Functional Optimisation
A Arun Kumar, A Shilton, S Rana, S Gupta, S Venkatesh
(2021), Vol. 6, pp. 4725-4737, NeurIPS 2021 : Proceedings of the 35th Conference on Neural Information Processing Systems, Virtual Conference, E1
Bayesian Optimistic Optimisation with Exponentially Decaying Regret
Hung Tran-The, Sunil Gupta, Santu Rana, Svetha Venkatesh
(2021), Vol. 139, pp. 1-12, ICML 2021 : Proceedings of Machine Learning 2021 Conference, Virtual, E1
Using spatiotemporal distribution of geocoded Twitter data to predict US county-level health indices
T Nguyen, M Larsen, B O'Dea, H Nguyen, D Nguyen, J Yearwood, D Phung, S Venkatesh, H Christensen
(2020), Vol. 110, pp. 620-628, Future Generation Computer Systems, C1
Batch Bayesian optimization using multi-scale search
T Joy, S Rana, S Gupta, S Venkatesh
(2020), Vol. 187, Knowledge-Based Systems, C1
S Allender, J Hayward, S Gupta, A Sanigorski, S Rana, H Seward, S Jacobs, S Venkatesh
(2020), Vol. 3, npj Digital Medicine, England, C1
Incorporating expert prior in Bayesian optimisation via space warping
A Ramachandran, S Gupta, S Rana, C Li, S Venkatesh
(2020), Vol. 195, Knowledge-Based Systems, C1
Bayesian optimisation in unknown bounded search domains
J Berk, S Gupta, S Rana, V Nguyen, S Venkatesh
(2020), Vol. 195, Knowledge-Based Systems, C1
Bayesian optimization for adaptive experimental design: a review
S Greenhill, S Rana, S Gupta, P Vellanki, S Venkatesh
(2020), Vol. 8, pp. 13937-13948, IEEE access, Piscataway, N.J., C1
B Fernandes, C Karmakar, R Tamouza, T Tran, J Yearwood, N Hamdani, H Laouamri, J Richard, R Yolken, M Berk, S Venkatesh, M Leboyer
(2020), Vol. 10, Translational Psychiatry, United States, C1
Improving the tensile properties of wet spun silk fibers using rapid Bayesian algorithm
Ya Yao, Benjamin Allardyce, Rangam Rajkhowa, Dylan Hegh, Alessandra Sutti, Surya Subianto, Sunil Gupta, Santu Rana, S Greenhill, Svetha Venkatesh, Xungai Wang, Joselito Razal
(2020), Vol. 6, pp. 3197-3207, ACS biomaterials science and engineering, Washington, D.C., C1
V Le, T Quinn, T Tran, S Venkatesh
(2020), Vol. 21, BMC Genomics, Sydney, AUSTRALIA, C1
Fast hyperparameter tuning using Bayesian optimization with directional derivatives
T Joy, S Rana, S Gupta, S Venkatesh
(2020), Vol. 205, Knowledge-Based Systems, C1
A scrap-tolerant alloying concept based on high entropy alloys
M Barnett, M Senadeera, D Fabijanic, K Shamlaye, J Joseph, S Kada, S Rana, S Gupta, S Venkatesh
(2020), Vol. 200, pp. 735-744, Acta Materialia, Amsterdam, The Netherlands, C1
Hung Le, Truyen Tran, Svetha Venkatesh
(2020), pp. 1-27, ICLR 2020 : Proceedings of the 8th International Conference on Learning Representations, Virtual Conference, Ethiopia, E1
Adham Beykikhoshk, Thomas Quinn, Samuel Lee, Truyen Tran, Svetha Venkatesh
(2020), Vol. 13, pp. 1-10, GIW/ABACBS 2019 : Proceedings of the Joint 30th International Conference on Genome Informatics (GIW) & Australian Bioinformatics and Computational Biology Society (ABACBS) Annual Confernence, Sydney, N.S.W., E1
Level set estimation with search space warping
Manisha Senadeera, S Rana, S Gupta, S Venkatesh
(2020), Vol. 12085, pp. 827-839, PAKDD 2020 : Advances in Knowledge Discovery and Data Mining : Proceedings of the 24th Pacific-Asia Conference 2020, Singapore, E1
Randomised Gaussian Process Upper Confidence Bound for Bayesian Optimisation
Julian Berk, Sunil Gupta, Santu Rana, Svetha Venkatesh
(2020), pp. 2284-2290, IJCAI-PRICAI-20 : Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, Yokohama, Japan, E1
Distributionally Robust Bayesian Quadrature Optimization
Tang Thanh, Sunil Gupta, Huong Ha, Santu Rana, Svetha Venkatesh
(2020), Vol. 108, pp. 1921-1930, AISTATS 2020 : Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, Online from Palermo, Italy, E1
Accelerated Bayesian Optimization through Weight-Prior Tuning
Alistair Shilton, Sunil Gupta, Santu Rana, Pratibha Vellanki, Laurence Park, Cheng Li, Svetha Venkatesh, Thomas Dorin, Alessandra Sutti, David Rubin, Teo Slezak, Alireza Vahid, Murray Height
(2020), Vol. 108, pp. 1-10, AISTATS 2020 : Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, Online from Palermo, Italy, E1
Dynamic Language Binding in Relational Visual Reasoning
Thao Minh Le, Vuong Le, Svetha Venkatesh, Truyen Tran
(2020), pp. 818-824, IJCAI-PRICAI 2020 : Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, Online from Yokohama, Japan, E1
Learning Transferable Domain Priors for Safe Exploration in Reinforcement Learning
T Karimpanal, S Rana, S Gupta, T Tran, S Venkatesh
(2020), pp. 1-10, IJCNN 2020 : Proceedings of the 2020 International Joint Conference on Neural Networks, Glasgow, Scotland, E1
Neural Reasoning, Fast and Slow, for Video Question Answering
T Le, V Le, S Venkatesh, T Tran
(2020), pp. 1-8, IJCNN 2020 : Proceedings of the 2020 International Joint Conference on Neural Networks, Online from Glasgow, Scotland, E1
Hierarchical conditional relation networks for video question answering
T Le, V Le, S Venkatesh, T Tran
(2020), pp. 9969-9978, CVPR 2020 : Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Virtual from Seattle, Washington, E1
MrPC: causal structure learning in distributed systems
T Nguyen, D Nguyen, T Le, S Venkatesh
(2020), Vol. 1332, pp. 87-94, ICONIP 2020 : Proceedings of the 27th International Conference on Neural Information Processing 2020, Online from Bangkok, Thailand, E1
DeepCoDA: Personalized interpretability for compositional health data
T Quinn, D Nguyen, S Rana, S Gupta, S Venkatesh
(2020), Vol. PartF168147-11, pp. 7833-7842, ICML 2020 : Proceedings of the 37th International Conference on Machine Learning, Online, E1
Self-Attentive associative memory
H Le, T Tran, S Venkatesh
(2020), pp. 5638-5647, ICML 2020 : Proceedings of the 37th International Conference on Machine Learning, Online, E1
Trading convergence rate with computational budget in high dimensional Bayesian optimization
H Tran The, S Gupta, S Rana, S Venkatesh
(2020), pp. 2425-2432, AAAI-20 : Proceedings of the Thirty-fourth AAAI Conference on Artificial Intelligence, New York, N.Y., E1
Bayesian optimization for categorical and category-specific continuous inputs
D Nguyen, S Gupta, S Rana, A Shilton, S Venkatesh
(2020), pp. 5256-5263, AAAI-20 : Proceedings of the Thirty-fourth AAAI Conference on Artificial Intelligence, New York, N.Y., E1
S Boll, H Sundram, S Venkatesh, M Larson, M Kankanhalli
(2020), pp. 4796-4798, MM 2020 : Proceedings of the 28th ACM International Conference on Multimedia, New York, N.Y., E1
Attentional multilabel learning over graphs: a message passing approach
K Do, T Tran, T Nguyen, S Venkatesh
(2019), Vol. 108, pp. 1757-1781, Machine Learning, New York, N.Y., C1
Filtering Bayesian optimization approach in weakly specified search space
V Nguyen, S Gupta, S Rana, C Li, S Venkatesh
(2019), Vol. 60, pp. 385-413, Knowledge and Information Systems, C1
A flexible transfer learning framework for Bayesian optimization with convergence guarantee
T Theckel Joy, S Rana, S Gupta, S Venkatesh
(2019), Vol. 115, pp. 656-672, Expert Systems with Applications, C1
Solving for X: Evidence for sex-specific autism biomarkers across multiple transcriptomic studies
S Lee, T Quinn, J Lai, S Kong, I Hertz-Picciotto, S Glatt, T Crowley, S Venkatesh, T Nguyen
(2019), Vol. 180, pp. 377-389, American Journal of Medical Genetics, Part B: Neuropsychiatric Genetics, United States, C1
Improving the classification of neuropsychiatric conditions using gene ontology terms as features
T Quinn, S Lee, S Venkatesh, T Nguyen
(2019), Vol. 180, pp. 508-518, American Journal of Medical Genetics, Part B: Neuropsychiatric Genetics, United States, C1
M Sajjad, K Holloway-Kew, M Mohebbi, M Kotowicz, L De Abreu, P Livingston, M Khasraw, S Hakkennes, T Dunning, S Brumby, R Page, A Sutherland, S Venkatesh, L Williams, S Brennan-Olsen, J Pasco
(2019), Vol. 9, BMJ Open, England, C1
Cancer as a tissue anomaly: Classifying tumor transcriptomes based only on healthy data
T Quinn, T Nguyen, S Lee, S Venkatesh
(2019), Vol. 10, Frontiers in Genetics, Switzerland, C1
A cross-cancer metastasis signature in the microRNA-mRNA axis of paired tissue samples
S Lee, A Quinn, T Nguyen, S Venkatesh, T Quinn
(2019), Vol. 46, pp. 5919-5930, Molecular Biology Reports, Netherlands, C1
The epidemiology of emergency presentations for falls across Western Victoria, Australia
K Holloway-Kew, T Baker, M Sajjad, M Kotowicz, P Livingston, M Khasraw, S Hakkennes, T Dunning, S Brumby, R Page, A Sutherland, S Venkatesh, S Brennan-Olsen, L Williams, J Pasco
(2019), Vol. 22, pp. 206-215, Australasian Emergency Care, Australia, C1
S Subianto, C Li, D Rubin De Celis Leal, S Rana, S Gupta, R He, S Venkatesh, A Sutti
(2019), Vol. 4, pp. 15912-15922, ACS Omega, United States, C1
S Barnett, K Huckvale, H Christensen, S Venkatesh, K Mouzakis, R Vasa
(2019), Vol. 21, Journal of Medical Internet Research, Canada, C1
Efficient Bayesian Function Optimization of Evolving Material Manufacturing Processes
D Rubín De Celis Leal, D Nguyen, P Vellanki, C Li, S Rana, N Thompson, S Gupta, K Pringle, S Subianto, S Venkatesh, T Slezak, M Height, A Sutti
(2019), Vol. 4, pp. 20571-20578, ACS Omega, United States, C1
Information-theoretic transfer learning framework for Bayesian optimisation
A Ramachandran, S Gupta, S Rana, S Venkatesh
(2019), Vol. 11052, pp. 827-842, ECML-PKDD 2018 : Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2018, Dublin, Ireland, E1
Sqn2Vec: learning sequence representation via sequential patterns with a gap constraint
D Nguyen, W Luo, T Nguyen, S Venkatesh, D Phung
(2019), Vol. 11052, pp. 569-584, ECML-PKDD 2018 : Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Dublin, Ireland, E1
Exploration enhanced expected improvement for Bayesian optimization
J Berk, V Nguyen, S Gupta, S Rana, S Venkatesh
(2019), Vol. 11052, pp. 621-637, ECML-PKDD 2018 : Proceedings of the e European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2018, Dublin, Ireland, E1
Incomplete conditional density estimation for fast materials discovery
P Nguyen, T Tran, S Gupta, S Rana, M Barnett, S Venkatesh
(2019), pp. 549-557, 2019 SIAM : Proceedings of the 2019 SIAM International Conference on Data Mining, Calgary, Alta., E1
Learning to remember more with less memorization
H Le, T Tran, S Venkatesh
(2019), ICLR 2019: Proceedings of the 7th International Conference on Learning Representations, New Orleans, Louisiana, E1
Improving generalization and stability of generative adversarial networks
H Thanh-Tung, S Venkatesh, T Tran
(2019), ICLR 2019: Proceedings of the 7th International Conference on Learning Representations, New Orleans, Louisiana, E1
Graph transformation policy network for chemical reaction prediction
K Do, T Tran, S Venkatesh
(2019), pp. 750-760, KDD 2019 : Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, Anchorage, Alaska, E1
Bayesian functional optimisation with shape prior
Pratibha Vellanki, Santu Rana, Sunil Gupta, David Leal, Alessandra Sutti, Murray Height, Svetha Venkatesh
(2019), pp. 1617-1624, AAAI 2019 : Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, Honolulu, Hawaii, E1
Explaining black-box models using interpretable surrogates
D Kuttichira, S Gupta, C Li, S Rana, S Venkatesh
(2019), Vol. 11670, pp. 3-15, PRICAI 2019: Trends in Artificial Intelligence 16th Pacific Rim International Conference on Artificial Intelligence, Cuvu, Yanuca Island, Fiji, August 26-30, 2019, Proceedings,, Cuvu, Fiji, E1
Bayesian Optimisation for Objective Functions with Varying Smoothness
A Arun Kumar, S Rana, C Li, S Gupta, A Shilton, S Venkatesh
(2019), Vol. 11919 LNAI, pp. 460-472, AI 2019: Advances in Artificial Intelligence 32nd Australasian Joint Conference, Adelaide, SA, Australia, December 2–5, 2019, Proceedings, Adelaide, South Australia, E1
Information-Theoretic Multi-task Learning Framework for Bayesian Optimisation
A Ramachandran, S Gupta, S Rana, S Venkatesh
(2019), Vol. 11919, pp. 497-509, AI 2019: Advances in artificial intelligence : Proceedings of the 32nd Australasian Joint Conference on Artificial Intelligence 2019, Adelaide, South Australia, E1
Bayesian Optimization with Discrete Variables
P Luong, S Gupta, D Nguyen, S Rana, S Venkatesh
(2019), Vol. 11919, pp. 473-484, AI 2019 : Advances in Artificial Intelligence : Proceedings of the 32nd Australian Joint Conference, Adelaide, South Australia, E1
Detection of Compromised Models Using Bayesian Optimization
D Kuttichira, S Gupta, D Nguyen, S Rana, S Venkatesh
(2019), Vol. 11919, pp. 485-496, AI 2019 : Advances in Artificial Intelligence : Proceedings of the 32nd Australian Joint Conference, Adelaide, South Australia, E1
Efficient bayesian optimization for uncertainty reduction over perceived optima locations
V Nguyen, S Gupta, S Rana, M Thai, C Li, S Venkatesh
(2019), Vol. 2019-November, pp. 1270-1275, ICDM 2019 : Proceedings of the 19th IEEE International Conference on Data Mining, Beijing, China, E1
Learning regularity in skeleton trajectories for anomaly detection in videos
R Morais, V Le, T Tran, B Saha, M Mansour, S Venkatesh
(2019), pp. 11988-11996, CVPR 2019 : Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, Long Beach, California, E1
D Gong, L Liu, V Le, B Saha, M Mansour, S Venkatesh, A Van Den Hengel
(2019), pp. 1705-1714, ICCV 2019 : Proceedings of the IEEE International Conference on Computer Vision, Seoul, South Korea, E1
Bayesian optimization with unknown search space
H Ha, S Rana, S Gupta, T Nguyen, H Tran-The, S Venkatesh
(2019), Vol. 32, pp. 1-10, NeurIPS 2019 : Proceedings of the 33rd Conference on Neural Information Processing Systems, Vancouver, British Columbia, E1
Multi-objective Bayesian optimisation with preferences over objectives
M Abdolshah, A Shilton, S Rana, S Gupta, S Venkatesh
(2019), Vol. 32, pp. 1-11, NeurIPS 2019 : Proceedings of the 33rd Conference on Neural Information Processing Systems, Vancouver, British Columbia, E1
Sub-linear regret bounds for Bayesian optimisation in unknown search spaces
H Tran-The, S Gupta, S Rana, H Ha, S Venkatesh
(2019), Vol. 2020-December, pp. 1-25, NeurIPS 2019 : Proceedings of the 33rd Conference on Neural Information Processing Systems, Vancouver, British Columbia, E1
Discovering topic structures of a temporally evolving document corpus
A Beykikhoshk, O Arandjelović, D Phung, S Venkatesh
(2018), Vol. 55, pp. 599-632, Knowledge and Information Systems, C1
Academia versus social media: A psycho-linguistic analysis
T Nguyen, S Venkatesh, D Phung
(2018), Vol. 25, pp. 228-237, Journal of Computational Science, C1
The epidemiology of hip fractures across western Victoria, Australia
K Holloway, M Sajjad, M Mohebbi, M Kotowicz, P Livingston, M Khasraw, S Hakkennes, T Dunning, S Brumby, R Page, D Pedler, A Sutherland, S Venkatesh, S Brennan-Olsen, L Williams, J Pasco
(2018), Vol. 108, pp. 1-9, Bone, United States, C1-1
Energy-based anomaly detection for mixed data
K Do, T Tran, S Venkatesh
(2018), Vol. 57, pp. 413-435, Knowledge and Information Systems, C1
Detection of epileptic seizure based on entropy analysis of short-term EEG
P Li, C Karmakar, J Yearwood, S Venkatesh, M Palaniswami, C Liu
(2018), Vol. 13, PLoS ONE, United States, C1
Effective Identification of Similar Patients Through Sequential Matching over ICD Code Embedding
D Nguyen, W Luo, S Venkatesh, D Phung
(2018), Vol. 42, Journal of Medical Systems, United States, C1
New bayesian-optimization-based design of high-strength 7xxx-series alloys from recycled aluminum
A Vahid, S Rana, S Gupta, P Vellanki, S Venkatesh, T Dorin
(2018), Vol. 70, pp. 2704-2709, JOM, New York, N.Y., C1
D Nguyen, W Luo, D Phung, S Venkatesh
(2018), Vol. 161, pp. 313-328, Knowledge-Based Systems, C1
Resset: A Recurrent Model for Sequence of Sets with Applications to Electronic Medical Records
P Nguyen, T Tran, S Venkatesh
(2018), 2018 International Joint Conference on Neural Networks (IJCNN), Rio de Janeiro, Brazil, E1
Learning graph representation via frequent subgraphs
D Nguyen, W Luo, T Nguyen, S Venkatesh, D Phung
(2018), Vol. PRDT18, pp. 306-314, SDM 2018 : Proceedings of the SIAM International Conference on Data Mining, San Diego, Calif., E1
Exploiting strategy-space diversity for batch Bayesian optimisation
S Gupta, Alistair Shilton, Santu Rana, Svetha Venkatesh
(2018), Vol. 84, pp. 538-547, AISTATS 2018 : Proceedings of the International Conference on Artificial Intelligence and Statistics, Playa Blanca, Lanzarote, Canary Islands, E1
A privacy preserving bayesian optimization with high efficiency
T Nguyen, Sunil Gupta, Santu Rana, Svetha Venkatesh
(2018), Vol. 10939, pp. 543-555, PAKDD 2018 : Advances in Knowledge Discovery and Data Mining : Proceedings of 22nd Pacific-Asia Conference, Melbourne, Victoria, E1
Prescriptive analytics through constrained bayesian optimization
Haripriya Harikumar, Santu Rana, Sunil Gupta, Thin Nguyen, Kaimal Ramachandra, Svetha Venkatesh
(2018), Vol. 10937, pp. 335-347, PAKDD 2018 : Advances in Knowledge Discovery and Data Mining : Proceedings of 22nd Pacific-Asia Conference, Melbourne, Victoria, E1
Dual control memory augmented neural networks for treatment recommendations
H Le, T Tran, S Venkatesh
(2018), Vol. 10939, pp. 273-284, PAKDD 2018 : Proceedings of the 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining, Melbourne, Vic., E1
Trans2Vec: Learning transaction embedding via items and frequent itemsets
D Nguyen, T Nguyen, W Luo, S Venkatesh
(2018), Vol. 10939, pp. 361-372, PAKDD 2018 : Advances in Knowledge Discovery and Data Mining : Proceedings of 22nd Pacific-Asia Conference, Melbourne, Victoria, E1
Efficient Bayesian optimisation using derivative meta-model
A Yang, C Li, S Rana, S Gupta, S Venkatesh
(2018), Vol. 11013, pp. 256-264, PRICAI 2018: Proceedings of the 15th Pacific Rim International Conference on Artificial Intelligence, Nanjing, China, E1
Selecting optimal source for transfer learning in Bayesian optimisation
A Ramachandran, S Gupta, S Rana, S Venkatesh
(2018), Vol. 11012, pp. 42-56, PRICAI 2018 : Trends in artificial intelligence : Proceedings of the 15th Pacific Rim International Conference on Artificial Intelligence, Nanjing, China, E1
Dual memory neural computer for asynchronous two-view sequential learning
Hung Le, Truyen Tran, Svetha Venkatesh
(2018), pp. 1637-1645, ACM SIGKDD 2018 : Proceedings of the 24th International Conference on Knowledge Discovery & Data Mining, London, England, E1
Multi-target optimisation via Bayesian optimisation and linear programming
A Shilton, Santu Rana, Sunil Gupta, Svetha Venkatesh
(2018), UAI 2018: Proceedings of the 34th Conference on Uncertainty in Artificial Intelligence, Monterey, Calif., E1
Expected hypervolume improvement with constraints
M Abdolshah, Alistair Shilton, Santu Rana, Sunil Gupta, svetha Venkatesh
(2018), pp. 3238-3243, ICPR 2018 : Proceedings of the 24th International Conference on Pattern Recognition, Beijing, China, E1
H Nguyen, V Nguyen, T Nguyen, M Larsen, B O Dea, D Nguyen, T Le, D Phung, S Venkatesh, H Christensen
(2018), Vol. 11234, pp. 100-110, WISE 2018 : Web Information Systems Engineering, Dubai, UAE, E1
Sparse approximation for Gaussian process with derivative observations
A Yang, C Li, S Rana, S Gupta, S Venkatesh
(2018), Vol. 11320, pp. 507-518, AI 2018: Proceedings of the 31st Australasian Joint Conference on Artificial Intelligence, Wellington, N.Z., E1
Graph memory networks for molecular activity prediction
T Pham, T Tran, S Venkatesh
(2018), pp. 639-644, ICPR 2018: Proceedings of the 24th International Conference on Pattern Recognition, Beijing, China, E1
Knowledge graph embedding with multiple relation projections
K Do, T Tran, S Venkatesh
(2018), pp. 332-337, ICPR 2018: Proceedings of the 24th International Conference on Pattern Recognition, Beijing, China, E1
Accelerating experimental design by incorporating experimenter hunches
C Li, R Santu, S Gupta, V Nguyen, S Venkatesh, A Sutti, D De Celis Leal, T Slezak, M Height, M Mohammed, I Gibson
(2018), Vol. 2018-November, pp. 257-266, IEEE ICDM 2018 : International Conference on Data Mining, Singapore, E1
Differentially private prescriptive analytics
H Harikumar, S Rana, S Gupta, T Nguyen, R Kaimal, S Venkatesh
(2018), Vol. 2018-November, pp. 995-1000, ICDM 2018 : Proceedings of the IEEE International Conference on Data Mining, Singapore, E1
Algorithmic assurance: an active approach to algorithmic testing using Bayesian optimisation
Shivapratap Gopakumar, Sunil Gupta, Santu Rana, Nguyen Vu, Svetha Venkatesh
(2018), Vol. 31, pp. 1-9, NeurIPS 2018 : Proceedings of the 32nd Conference on Neural Information Processing Systems, Montreal, Canada, E1
Variational Memory Encoder-Decoder
Hung Le, Truyen Tran, Thin Nguyen, Svetha Venkatesh
(2018), Vol. [31], pp. 1515-1525, NeurIPS 2018 : Proceedings of the Advances in Neural Information Processing Systems Annual Conference, Montreal, Canada, E1
Using linguistic and topic analysis to classify sub-groups of online depression communities
T Nguyen, B O’Dea, M Larsen, D Phung, S Venkatesh, H Christensen
(2017), Vol. 76, pp. 10653-10676, Multimedia Tools and Applications, C1-1
B Saha, S Gupta, D Phung, S Venkatesh
(2017), Vol. 53, pp. 179-206, Knowledge and Information Systems, C1
Nonparametric discovery and analysis of learning patterns and autism subgroups from therapeutic data
P Vellanki, T Duong, S Gupta, S Venkatesh, D Phung
(2017), Vol. 51, pp. 127-157, Knowledge and Information Systems, C1
Hierarchical semi-Markov conditional random fields for deep recursive sequential data
T Tran, D Phung, H Bui, S Venkatesh
(2017), Vol. 246, pp. 53-85, Artificial Intelligence, C1
Deepr: A Convolutional Net for Medical Records
P Nguyen, T Tran, N Wickramasinghe, S Venkatesh
(2017), Vol. 21, pp. 22-30, IEEE Journal of Biomedical and Health Informatics, United States, C1
Predicting healthcare trajectories from medical records: A deep learning approach
T Pham, T Tran, D Phung, S Venkatesh
(2017), Vol. 69, pp. 218-229, Journal of Biomedical Informatics, United States, C1
Estimation of the prevalence of adverse drug reactions from social media
T Nguyen, M Larsen, B O'Dea, D Phung, S Venkatesh, H Christensen
(2017), Vol. 102, pp. 130-137, International Journal of Medical Informatics, Ireland, C1
Kernel-based features for predicting population health indices from geocoded social media data
T Nguyen, M Larsen, B O'Dea, D Nguyen, J Yearwood, D Phung, S Venkatesh, H Christensen
(2017), Vol. 102, pp. 22-31, Decision Support Systems, C1
Rapid Bayesian optimisation for synthesis of short polymer fiber materials
C Li, D Rubín De Celis Leal, S Rana, S Gupta, A Sutti, S Greenhill, T Slezak, M Height, S Venkatesh
(2017), Vol. 7, Scientific Reports, England, C1
A Framework for Mixed-Type Multioutcome Prediction with Applications in Healthcare
B Saha, S Gupta, D Phung, S Venkatesh
(2017), Vol. 21, pp. 1182-1191, IEEE Journal of Biomedical and Health Informatics, United States, C1
C Karmakar, R Udhayakumar, P Li, S Venkatesh, M Palaniswami
(2017), Vol. 8, Frontiers in Physiology, Switzerland, C1
S Brennan-Olsen, S Vogrin, K Holloway, R Page, M Sajjad, M Kotowicz, P Livingston, M Khasraw, S Hakkennes, T Dunning, S Brumby, D Pedler, A Sutherland, S Venkatesh, L Williams, G Duque, J Pasco
(2017), Vol. 12, Archives of Osteoporosis, England, C1
B Dao, T Nguyen, S Venkatesh, D Phung
(2017), Vol. 4, pp. 209-231, International journal of data science and analytics, Cham, Switzerland, C1
One-Pass Logistic Regression for Label-Drift and Large-Scale Classification on Distributed Systems
Vu Nguyen, Tu Nguyen, Trung Le, Svetha Venkatesh, Dinh Phung
(2017), pp. 1113-1118, IEEE 2016 : Proceedingsof the IEEE 16th International Conference on Data Mining (ICDM), Barcelona, Spain, E1
Regret bounds for transfer learning in Bayesian optimisation
A Shilton, S Gupta, S Rana, S Venkatesh
(2017), Vol. 54, pp. 1-9, AISTATS 2017 : Machine Learning Research : Proceedings of the 20th Artificial Intelligence and Statistics International Conference, Fort Lauderdale, Florida, E1
T Nguyen, S Gupta, S Rana, S Venkatesh
(2017), Vol. 54, pp. 578-591, PAKDD 2017 : Advances in Knowledge Discovery and Data Mining : Proceedings of the 21st Pacific-Asia Conference, Jeju, South Korea, E1
High dimensional bayesian optimization with elastic gaussian process
S Rana, C Li, S Gupta, V Nguyen, S Venkatesh
(2017), pp. 1-9, ICML 2017 Proceedings of the International Conference in Machine Learning, Sydney, New South Wales, E1
Column networks for collective classification
T Pham, T Tran, Q Phung, S Venkatesh
(2017), pp. 2485-2491, AAAI-17: Proceedings of the 31st Artificial Intelligence AAAI Conference, San Francisco, California, E1
Energy-based localized anomaly detection in video surveillance
H Vu, T Nguyen, A Travers, S Venkatesh, D Phung
(2017), Vol. 10234, pp. 641-653, PAKDD 2017 : Proceedings of the Pacific-Asia Conference on Knowledge Discovery and Data Mining, Jeju, South Korea, E1
High dimensional bayesian optimization using dropout
C Li, S gupta, S Rana, V Nguyen, S Venkatesh, A Shilton
(2017), pp. 2096-2102, IJCAI 2017 : Proceedings of the 26th International Joint Confrerence on Artificial Intelligence, Melbourne, Victoria, E1
Deep learning to attend to risk in ICU
P Nguyen, T Tran, S Venkatesh
(2017), Vol. 1891, pp. 25-29, KDH 2017 : Proceedings of the 2nd International Workshop on Knowledge Discovery in Healthcare Data 2017, Melbourne, Victoria, E1
Estimating support scores of autism communities in large-scale web information systems
T Nguyen, H Nguyen, S Venkatesh, D Phung
(2017), Vol. 10569, pp. 347-355, WISE 2017 : Proceedings of the 18th International Conference on Web Information Systems Engineering 2017, Puschino, Russia, E1
Bayesian optimization in weakly specified search space
V Nguyen, S Gupta, S Rana, C Li, S Venkatesh
(2017), pp. 347-356, ICDM 2017 : Proceedings of the IEEE International Conference on Data Mining, New Orleans, La., E1
Process-constrained batch Bayesian optimisation
P Vellanki, S Rana, S Gupta, D Rubin, A Sutti, T Dorin, M Height, P Sandars, S Venkatesh
(2017), Vol. 2017-December, pp. 3415-3424, NIPS 2017 : Proceedings of the 31st Conference of Neural Information Processing Systems, Long Beach, California, E1
Regret for expected improvement over the best-observed value and stopping condition
V Nguyen, Sunil Gupta, Santu Rana, Cheng Li, Svetha Venkatesh
(2017), pp. 1-16, ACML 2017 : Proceedings of the Ninth Asian Conference on Machine Learning, Seoul, Korea, E1
T Nguyen, D Nguyen, M Larsen, B O'Dea, J Yearwood, Q Phung, S Venkatesh, H Christensen
(2017), pp. 99-107, WWW 2017 : Proceedings of the 26th International World Wide Web Conference 2017, Perth, W.A., E1
DeepCare: a deep dynamic memory model for predictive medicine
T Pham, T Tran, Q Phung, S Venkatesh
(2016), Vol. 9652, pp. 30-41, The 20th Pacific Asia Conference on Knowledge Discovery and Data Mining (PAKDD) 2016, Auckland, New Zealand, B1
Neural choice by elimination via highway networks
T Tran, D Phung, S Venkatesh
(2016), Vol. 9794, pp. 15-25, Trends and applications in knowledge discovery and data mining: PAKDD 2016 Workshops, BDM, MLSDA, PACC, WDMBF, Auckland, New Zealand, April 19, 2016, revised selected papers, Cham, Switzerland, B1
Flexible transfer learning framework for bayesian optimisation
T Joy, S Rana, S Gupta, S Venkatesh
(2016), Vol. 9651, pp. 102-114, Advances in knowledge discovery and data mining: 20th Pacific-Asia Conference, PAKDD 2016 Auckland, New Zealand, April 19-22, 2016 proceedings, part I, Berlin, Germany, B1
Toxicity Prediction in Cancer Using Multiple Instance Learning in a Multi-task Framework
Cheng Li, Sunil Gupta, Santu Rana, Wei Luo, Svetha Venkatesh, David Ashely, Dinh Phung
(2016), pp. 152-164, Advances in Knowledge Discovery and Data Mining, B1
Privacy aware K-means clustering with high utility
T Nguyen, S Gupta, S Rana, S Venkatesh
(2016), Vol. 9652, pp. 388-400, Advances in knowledge discovery and data mining: 20th Pacific-Asia Conference, PAKDD 2016 Auckland, New Zealand, April 19-22, 2016 proceedings, part I, Berlin, Germany, B1
T Nguyen, V Nguyen, S Venkatesh, D Phung
(2016), Vol. 9794, pp. 128-140, Trends and Applications in Knowledge Discovery and Data Mining, Berlin, Germany, B1
Modelling multilevel data in multimedia: A hierarchical factor analysis approach
S Gupta, D Phung, S Venkatesh
(2016), Vol. 75, pp. 4933-4955, Multimedia Tools and Applications, C1
Multiple task transfer learning with small sample sizes
B Saha, S Gupta, D Phung, S Venkatesh
(2016), Vol. 46, pp. 315-342, Knowledge and Information Systems, C1
Data clustering using side information dependent Chinese restaurant processes
C Li, S Rana, D Phung, S Venkatesh
(2016), Vol. 47, pp. 463-488, Knowledge and Information Systems, C1
T Tran, D Phung, S Venkatesh
(2016), Vol. 47, pp. 157-188, Knowledge and Information Systems, C1
Stabilizing l
I Kamkar, S Gupta, D Phung, S Venkatesh
(2016), Vol. 59, pp. 149-168, Journal of Biomedical Informatics, United States, C1
Graph-induced restricted Boltzmann machines for document modeling
T Nguyen, T Tran, D Phung, S Venkatesh
(2016), Vol. 328, pp. 60-75, Information Sciences, C1
A new transfer learning framework with application to model-agnostic multi-task learning
S Gupta, S Rana, B Saha, D Phung, S Venkatesh
(2016), Vol. 49, pp. 933-973, Knowledge and Information Systems, C1
Nonparametric discovery of movement patterns from accelerometer signals
T Nguyen, S Gupta, S Venkatesh, D Phung
(2016), Vol. 70, pp. 52-58, Pattern Recognition Letters, C1
A Framework for Classifying Online Mental Health-Related Communities with an Interest in Depression
B Saha, T Nguyen, D Phung, S Venkatesh
(2016), Vol. 20, pp. 1008-1015, IEEE Journal of Biomedical and Health Informatics, United States, C1
Hierarchical Bayesian nonparametric models for knowledge discovery from electronic medical records
C Li, S Rana, D Phung, S Venkatesh
(2016), Vol. 99, pp. 168-182, Knowledge-Based Systems, C1
Consistency of the Health of the Nation Outcome Scales (HoNOS) at inpatient-to-community transition
W Luo, R Harvey, T Tran, D Phung, S Venkatesh, J Connor
(2016), Vol. 6, BMJ Open, England, C1
Dirichlet process mixture models with pairwise constraints for data clustering
C Li, S Rana, Q Phung, S Venkatesh
(2016), Vol. 3, pp. 205-223, Annals of data science, Berlin, Germany, C1
CCTV Scene Perspective Distortion Estimation From Low-Level Motion Features
O Arandjelović, D Pham, S Venkatesh
(2016), Vol. 26, pp. 939-949, IEEE Transactions on Circuits and Systems for Video Technology, C1
Collaborative filtering via sparse Markov random fields
T Tran, D Phung, S Venkatesh
(2016), Vol. 369, pp. 221-237, Information Sciences, C1
C Karmakar, W Luo, T Tran, M Berk, S Venkatesh
(2016), Vol. 3, JMIR Mental Health, Canada, C1
Screening for post 32-week preterm birth risk: how helpful is routine perinatal data collection?
W Luo, E Huning, T Tran, D Phung, S Venkatesh
(2016), Vol. 2, pp. 1-15, Heliyon, England, C1
Forecasting daily patient outflow from a ward having no real-time clinical data
S Gopakumar, T Tran, W Luo, D Phung, S Venkatesh
(2016), Vol. 4, pp. 2-17, JMIR Medical Informatics, Canada, C1
Ageing, chronic disease and injury: A study in western Victoria (Australia)
M Sajjad, K Holloway, M Kotowicz, P Livingston, M Khasraw, S Hakkennes, T Dunning, S Brumby, R Page, D Pedler, A Sutherland, S Venkatesh, S Brennan-Olsen, L Williams, J Pasco
(2016), Vol. 5, pp. 81-86, Journal of Public Health Research, United States, C1
P Talman, T Duong, S Vucic, S Mathers, S Venkatesh, R Henderson, D Rowe, D Schultz, R Edis, M Needham, R Macdonnell, P McCombe, C Birks, M Kiernan
(2016), Vol. 6, pp. e012054-, BMJ open, England, C1
J Granich, A Dass, M Busacca, D Moore, A Anderson, S Venkatesh, T Duong, P Vellanki, A Richdale, D Trembath, D Cairns, W Marshall, T Rodwell, M Rayner, A Whitehouse
(2016), Vol. 16, BMC Pediatrics, England, C1
W Luo, D Phung, T Tran, S Gupta, S Rana, C Karmakar, A Shilton, J Yearwood, N Dimitrova, T Ho, S Venkatesh, M Berk
(2016), Vol. 18, Journal of Medical Internet Research, Canada, C1
Streaming variational inference for dirichlet process mixtures
H Huynh, Q Phung, S Venkatesh
(2016), Vol. 45, pp. 237-252, ACML 2015: Proceedings of the 7th Asian Conference on Machine Learning, Hong Kong, PRC, E1
Differentially private multi-task learning
S Rana, S Rana, S Gupta, S Gupta, S Venkatesh, S Venkatesh
(2016), Vol. 9650, pp. 101-113, PAISI 2016 : Intelligence and Security Informatics : Proceedings of the 11th Pacific-Asia Workshop, Auckland, New Zealand, E1
Multi-task transfer learning for in hospital-death prediction of ICU patients
C Karmakar, B Saha, M Palaniswami, S Venkatesh
(2016), pp. 3321-3324, EMBC 2016: Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Orlando, Florida, E1
Transfer learning for rare cancer problems via Discriminative Sparse Gaussian Graphical model
B Saha, S Gupta, Q Phung, S Venkatesh
(2016), pp. 537-542, 2016 23rd International Conference on Pattern Recognition (ICPR 2016), Cancun, Mexico, E1
Scalable nonparametric Bayesian multilevel clustering
V Huynh, Q Phung, S Venkatesh, X Nguyen, M Hoffman, H Bui
(2016), pp. 289-298, UAI 2016: Proceedings of the 32nd Conference on Uncertainty in Artificial Intelligence, New York, N.Y., E1
Preterm birth prediction : deriving stable and interpretable rules from high dimensional data
T Tran, W Luo, Q Phung, J Morris, K Rickard, S Venkatesh
(2016), pp. 1-13, MLHC 2016 : Proceedings on Conference on Machine Learning in Healthcare, Los Angeles, California, E1
Discovering latent affective dynamics among individuals in online mental health-related communities
B Dao, T Nguyen, S Venkatesh, D Phung
(2016), pp. 473-478, ICME 2016 : Proceedings of the IEEE Multimedia and Expo International Conference, Seattle, Washington, E1
Discriminative cues for different stages of smoking cessation in online community
T Nguyen, R Borland, J Yearwood, H Yong, S Venkatesh, D Phung
(2016), Vol. LNCS 10042, pp. 146-153, WISE 2016 : Proceedings of the 17th International Conference on Web Information Systems Engineering, Shanghai, China, E1
Large-scale stylistic analysis of formality in academia and social media
T Nguyen, S Venkatesh, D Phung
(2016), Vol. LNCS 10042, pp. 137-145, WISE 2016 : Proceedings of the 17th International Conference on Web Information Systems Engineering, Shanghai, China, E1
Extracting key challenges in achieving sobriety through shared subspace learning
H Harikumar, T Nguyen, S Rana, S Gupta, R Kaimal, S Venkatesh
(2016), Vol. 10086, pp. 420-433, ADMA 2016 : Proceedings of the 12th Advanced Data Mining and Applications International Conference, Gold Coast, Queensland, E1
H Harikumar, T Nguyen, S Gupta, S Rana, R Kaimal, S Venkatesh
(2016), Vol. 10086, pp. 520-533, ADMA 2016 : Proceedings of the 12th Advanced Data Mining and Applications International Conference, Gold Coast, Queensland, E1
Textual cues for online depression in community and personal settings
T Nguyen, S Venkatesh, D Phung
(2016), Vol. 10086, pp. 19-34, ADMA 2016 : Proceedings of the Advanced Data Mining and Applications Conference, Gold Coast, Qld., E1
Outlier detection on mixed-type data: an energy-based approach
D Do, D DO, T Tran, D Phung, S Venkatesh
(2016), Vol. 10086, pp. 111-125, ADMA 2016 : Proceedings of the 12th International Conference of Advanced Data Mining and Applications, Gold Coat, Queensland, E1
Stabilizing linear prediction models using autoencoder
S Gopakumar, T Tran, D Phung, S Venkatesh
(2016), Vol. 10086, pp. 651-663, ADMA 2016 : Proceedings of the 12th International Conference for Advanced Data Mining and Applications, Gold Coast, Queensland, E1
Exceptional contrast set mining: moving beyond the deluge of the obvious
D Nguyen, W Luo, D Phung, S Venkatesh
(2016), Vol. LNAI 9992, pp. 455-468, AI 2016 : Advances in artificial intelligence : Proceedings of the 29th Australian Joint Conference, Hobart, Tas., E1
T Nguyen, S Gupta, S Rana, V Nguyen, S Venkatesh, K Deane, P Sanders
(2016), Vol. 9992, pp. 268-280, AI 2016: Advances in Artificial Intelligence : Proceedings of the Australasian Joint Conference, Hobart, Tasmania, E1
Achieving stable subspace clustering by post-processing generic clustering results
D Pham, O Arandjelović, S Venkatesh
(2016), pp. 2390-2396, IJCNN 2016 : Proceedings of the 2016 International Joint Conference of Neural Networks, Vancouver, B.C., E1
Forecasting patient outflow from wards having no real-time clinical data
S Gopakumar, T Tran, W Luo, D Phung, S Venkatesh
(2016), pp. 177-183, ICHI 2016: Proceedings of the IEEE International Conference on Healthcare Informatics, Chicago, Illinois, E1
Learning multifaceted latent activities from heterogeneous mobile data
T Nguyen, V Nguyen, T Nguyen, S Venkatesh, M Kumar, D Phung
(2016), pp. 389-398, DSAA 2016 : Proceedings of the 3rd IEEE International Conference on Data Science and Advanced Analytics, Montreal, Canada, E1
Effect of social capital on emotion, language style and latent topics in online depression community
B Dao, T Nguyen, S Venkatesh, D Phung
(2016), pp. 61-66, RIVF 2016 : Proceedings of the 2016 IEEE RIVF International Conference on Computing & Communication Technologies Research, Innovation, and Vision for the Future, Hanoi, Vietnam, E1
Analysing the history of autism spectrum disorder using topic models
A Beykikhoshk, D Phung, O Arandjelovic, S Venkatesh
(2016), pp. 762-771, DSAA 2016 : Proceedings of the 3rd IEEE International Conference on Data Science and Advanced Analytics, Montreal, Canada, E1
Computer assisted autism interventions for India
P Vellanki, S Greenhill, T Duong, D Phung, S Venkatesh, J Godwin, K Achary, B Varkey
(2016), pp. 618-622, OzCHI 2016 : Connected futures : Proceedings of the 28th Australian Conference on the Human-Computer Interaction, Launceston, Tas., E1
Budgeted batch Bayesian optimization
V Nguyen, S Rana, S Gupta, C Li, S Venkatesh
(2016), pp. 1107-1112, ICDM 2016: Proceedings of the 16th IEEE International Conference on Data Mining, Barcelona, Spain, E1
Hyperparameter tuning for big data using Bayesian optimisation
T Theckel Joy, S Rana, S Gupta, S Venkatesh
(2016), pp. 2574-2579, ICPR 2016: Proceedings of the 23rd International Conference on Pattern Recognition, Cancun, Mexico, E1
Multiple adverse effects prediction in longitudinal cancer treatment
C Li, S Gupta, S Rana, T Nguyen, S Venkatesh, D Ashley, P Livingston
(2016), pp. 3156-3161, ICPR 2016: Proceedings of the 23rd International Conference on Pattern Recognition, Cancun, Mexico, E1
Bayesian nonparametric Multiple Instance Regression
S Subramanian, S Rana, S Gupta, S Venkatesh, P Sivakumar, C Velayutham
(2016), pp. 3661-3666, ICPR 2016: Proceedings of the 23rd International Conference on Pattern Recognition, Cancun, Mexico, E1
A bayesian nonparametric approach for multi-label classification
T Nguyen, S Gupta, S Rana, C Li, S Venkatesh
(2016), Vol. 63, pp. 254-269, ACML 2016: Proceedings of the 8th Asian Conference on Machine Learning, Hamilton, New Zealand, E1
Faster training of very deep networks via p-norm gates
T Tran, T Pham, Q Phung, S Venkatesh
(2016), pp. 3542-3547, ICPR 2016: Proceedings of the 23rd International Conference on Pattern Recognition, Cancun, Mexico, E1
Stable clinical prediction using graph support vector machines
I Kamkar, S Gupta, C Li, D Phung, S Venkatesh
(2016), pp. 3332-3337, 2016 23rd International Conference on Pattern Recognition (ICPR 2016), Cancun, Mexico, E1
MCNC: multi-channel nonparametric clustering from heterogeneous data
T Nguyen, V Nguyen, S Venkatesh, D Phung
(2016), pp. 3633-3638, 2016 23rd International Conference on Pattern Recognition (ICPR 2016), Cancun, Mexico, E1
Hierarchical dirichlet process for tracking complex topical structure evolution and its application to autism research literature
A Beykikhoshk, A Beykikhoshk, A Beykikhoshk, A Beykikhoshk, O Arandjelovic, O Arandjelovic, O Arandjelovic, O Arandjelovic, S Venkatesh, S Venkatesh, S Venkatesh, S Venkatesh, Q Phung, Q Phung, Q Phung, Q Phung
(2015), pp. 550-562, Proceedings of Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Vietnam, B1
A Bayesian nonparametric approach to multilevel regression
T Nguyen, Q Phung, Venkatesh, H Bui
(2015), Vol. 9077, pp. 330-342, PAKDD 2015: Proceedings of Pacific-Asia Conference on Knowledge Discovery and Data Mining, Ho Chi Minh City, Vietnam, B1
Small-variance asymptotics for bayesian nonparametric models with constraints
C Li, S Rana, Q Phung, S Venkatesh
(2015), Vol. 9078, pp. 92-105, Proceedings of Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Vietnam, B1
Fast one-class support vector machine for novelty detection
T Le, Q Phung, K Nguyen, Venkatesh
(2015), Vol. 9078, pp. 189-200, Proceedings of Pacific-Asia Conference on Knowledge Discovery and Data Mining, Vietnam, B1
Learning conditional latent structures from multiple data sources
H Huynh, Q Phung, L Nguyen, Venkatesh, H Bui
(2015), pp. 343-354, Proceedings of Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Vietnam, B1
Collaborating differently on different topics: a multi-relational approach to multi-task learning
S Gupta, S Rana, Q Phung, S Venkatesh
(2015), Vol. 9077, pp. 303-316, Proceedings of Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Vietnam, B1
Stabilizing sparse cox model using statistic and semantic structures in electronic medical records
S Gopakumar, T Nguyen, T Tran, Q Phung, Venkatesh
(2015), Vol. 9078, pp. 331-343, Proceedings of Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Vietnam, B1
Prediciton of emergency events: a multi-task multi-label learning approach
B Saha, S Gupta, S Venkatesh
(2015), Vol. 9077, pp. 226-238, 19th Pacific-Asia Conference, PAKDD 2015, Ho Chi Minh City, Vietnam, May 19-22, 2015, Proceedings, Part I, Vietnam, B1
Differentiating sub-groups of online depression-related communities using textual cues
T Nguyen, B O Dea, M Larsen, Q Phung, S Venkatesh, H Christensen
(2015), Vol. 9419, pp. 216-224, Web Information Systems Engineering – WISE 2015, New York, N.Y., B1
Stable feature selection with support vector machines
I Kamkar, S Gupta, Q Phung, S Venkatesh
(2015), Vol. 9457, pp. 298-308, AI 2015: Advances in artificial intelligence. 28th Australasian Joint Conference Canberra, ACT, Australia, November 30 - December 4, 2015 Proceedings, Berlin, Germany, B1
Understanding toxicities and complications of cancer treatment: a data mining approach
D Nguyen, W Luo, S Venkatesh, Q Phung
(2015), Vol. 9457, pp. 431-443, AI 2015: Advances in artificial intelligence. 28th Australasian Joint Conference Canberra, ACT, Australia, November 30 - December 4, 2015 Proceedings, Berlin, Germany, B1
P Vellanki, Q Phung, T Duong, S Venkatesh
(2015), Vol. 9441, pp. 245-257, Trends and applications in knowledge discovery and data mining: PAKDD 2015 Workshops: BigPMA, VLSP, QIMIE, DAEBH Ho Chi Minh City, Vietnam, May 19–21, 2015 Revised Selected Papers, Berlin, Germany, B1
TOBY play-pad application to teach children with ASD - a pilot trial
D Moore, S Venkatesh, A Anderson, S Greenhill, Q Phung, T Duong, D Cairns, W Marshall, A Whitehouse
(2015), Vol. 18, pp. 213-217, Developmental neurorehabilitation, London, Eng., C1
Stabilized sparse ordinal regression for medical risk stratification
T Tran, D Phung, W Luo, S Venkatesh
(2015), Vol. 43, pp. 555-582, Knowledge and information systems: an international journal, Berlin, Germany, C1
Stable feature selection for clinical prediction: Exploiting ICD tree structure using Tree-Lasso
I Kamkar, S Gupta, D Phung, S Venkatesh
(2015), Vol. 53, pp. 277-290, Journal of biomedical informatics, Amsterdam, The Netherlands, C1
Detection of dynamic background due to swaying movements from motion features
D Pham, O Arandjelovic, S Venkatesh
(2015), Vol. 24, pp. 332-344, IEEE transactions on image processing, Piscatawy, N.J., C1
Continuous discovery of co-location contexts from Bluetooth data
T Nguyen, S Gupta, S Venkatesh, Q Phung
(2015), Vol. 16, pp. 286-304, Pervasive and mobile computing, Amsterdam, The Netherlands, C1
T Tran, T Nguyen, Q Phung, S Venkatesh
(2015), Vol. 54, pp. 96-105, Journal of biomedical informatics, Amsterdam, The Netherlands, C1
Web search activity data accurately predict population chronic disease risk in the USA
T Nguyen, T Tran, W Luo, S Gupta, S Rana, Q Phung, M Nichols, L Millar, S Venkatesh, S Allender
(2015), Vol. 69, pp. 693-699, Journal of epidemiology and community health, London, Eng., C1
Mixed-norm sparse representation for multi view face recognition
X Zhang, D Pham, S Venkatesh, W Liu, Q Phung
(2015), Vol. 48, pp. 2935-2946, Pattern recognition, Amsterdam, The Netherlands, C1
A predictive framework for modeling healthcare data with evolving clinical interventions
S Rana, S Gupta, Q Phung, S Venkatesh
(2015), Vol. 8, pp. 162-182, Statistical analysis and data mining, London, Eng., C1
W Luo, T Nguyen, M Nichols, T Tran, S Rana, S Gupta, Q Phung, S Venkatesh, S Allender
(2015), Vol. 10, pp. 1-13, PLoS One, San Francisco, Calif., C1
Stabilizing high-dimensional prediction models using feature graphs.
S Gopakumar, T Tran, T Nguyen, Q Phung, S Venkatesh
(2015), Vol. 19, pp. 1044-1052, IEEE journal of biomedical and health informatics, Champaign, III., C1
Efficient and accurate set-based registration of time-separated aerial images
O Arandjelovic, D Pham, S Venkatesh
(2015), Vol. 48, pp. 3466-3476, Pattern recognition, Amsterdam, The Netherlands, C1
Autism blogs: expressed emotion, language styles and concerns in personal and community settings
T Nguyen, T Duong, S Venkatesh, Q Phung
(2015), Vol. 6, pp. 312-323, IEEE transactions on affective computing, Piscataway, N.J., C1
Using Twitter to learn about the autism community
A Beykikhoshk, O Arandjelovic, D Phung, S Venkatesh, T Caelli
(2015), Vol. 5, pp. 1-17, Social Network Analysis and Mining, New York, N.Y., C1
Bayesian nonparametric approaches to abnormality detection in video surveillance
T Nguyen, Q Phung, D Pham, Venkatesh
(2015), Vol. 2, pp. 21-41, Annals of data science, Berlin, Germany, C1
Topic model kernel classification with probabilistically reduced features
T Nguyen, D Phung, S Venkatesh
(2015), Vol. 13, pp. 323-340, Journal of data science, New York, N.Y., C1
Two maximum entropy-based algorithms for running quantile estimation in nonstationary data streams
O Arandjelovic, D Pham, S Venkatesh
(2015), Vol. 25, pp. 1469-1479, IEEE transactions on circuits and systems for video technology, Piscataway, N.J., C1
Visual object clustering via mixed-norm regularization
X Zhang, D Pham, Q Phung, W Liu, B Saha, S Venkatesh
(2015), pp. 1030-1037, WACV 2015: Proceedings of the 15th IEEE Winter Conference on Applications of Computer Vision, Waikoloa, Hawaii, E1
Tensor-variate restricted Boltzmann machines
T Nguyen, Q Phung, T Tran, S Venkatesh
(2015), Vol. 3, pp. 2887-2893, AAAI 2015: The Proceedings of the 29th AAAI Conference on Artificial Intelligence, Austin, Tex., E1
A Beykikhoshk, O Arandjelovic, D Phung, S Venkatesh
(2015), pp. 1354-1361, ASONAM 2015: Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, Paris, France, E1
Improved risk predictions via sparse imputation of patient conditions in electronic medical records
B Saha, S Gupta, S Venkatesh
(2015), pp. 1-10, DSAA 2015: IEEE International Conference on Data Science and Advanced Analytics, Paris, France, E1
Groupwise registration of aerial images
O Arandjelovic, D Pham, S Venkatesh
(2015), pp. 2133-2139, IJCAI 2015: Proceedings of the 24th International Joint Conference on Artificial Intelligence, Buenos Aires, Argentina, E1
The adaptable buffer algorithm for high quantile estimation in non-stationary data streams
O Arandjelovic, D Pham, S Venkatesh
(2015), pp. 1-7, IJCNN 2015: Proceedings of the International Joint Conference on Neural Networks, Killarney, Ireland, E1
Differentially private random forest with high utility
S Rana, S Gupta, S Venkatesh
(2015), pp. 955-960, ICDM 2015: Proceedings of the 15th IEEE International Conference on Data Mining, Atlantic City, New Jersey, E1
Exploiting feature relationships towards stable feature selection
I Kamkar, S Gupta, Q Phung, S Venkatesh
(2015), pp. 1-10, DSAA 2015: IEEE International Conference on Data Science and Advanced Analytics, Paris, France, E1
S Gupta, S Rana, Q Phung, S Venkatesh
(2015), pp. 703-711, SDM 2015: Proceedings of the 15th SIAM International Conference on Data Mining, Vancouver, British Columbia, E1
Multi-view subspace clustering for face images
X Zhang, Q Phung, S Venkatesh, D Pham, W Liu
(2015), pp. 1-8, DICTA 2015: Proceedings of the 2015 International Conference on Digital Image Computing: Techniques and Applications, Adelaide, S. Aust., E1
Learning latent activities from social signals with hierarchical dirichlet processes
D Phung, T Nguyen, S Gupta, S Venkatesh
(2014), pp. 149-174, Plan, activity, and intent recognition : theory and practice, Boston, Mass., B1
Intervention-driven predictive framework for modeling healthcare data
S Rana, S Gupta, D Phung, S Venkatesh
(2014), Vol. 8443 Part 1, pp. 497-508, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Berlin, Germany, B1
Stream quantiles via maximal entropy histograms
O Arandjelović, D Pham, S Venkatesh
(2014), Vol. 8835, pp. 327-334, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Berlin, Germany, B1
iPoll: Automatic polling using online search
T Nguyen, D Phung, W Luo, T Tran, S Venkatesh
(2014), Vol. 8786, pp. 266-275, Web Information Systems Engineering – WISE 2014, Berlin, Germany, B1
B Dao, T Nguyen, D Phung, S Venkatesh
(2014), Vol. 8786, pp. 398-407, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Berlin, Germany, B1
Affective, linguistic and topic patterns in online autism communities
T Nguyen, T Duong, D Phung, S Venkatesh
(2014), Vol. 8787, pp. 474-488, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Berlin, Germany, B1
A matrix factorization framework for jointly analyzing multiple nonnegative data sources
S Gupta, Q Phung, B Adams, S Venkatesh
(2014), Vol. 3, pp. 151-170, Data mining for service, Berlin, Germany, B1-1
Social reader: towards browsing the social web
B Adams, D Phung, S Venkatesh
(2014), Vol. 69, pp. 951-990, Multimedia tools and applications, Secaucus, NJ, C1
Mood sensing from social media texts and its applications
T Nguyen, Q Phung, B Adams, S Venkatesh
(2014), Vol. 39, pp. 667-702, Knowledge and information systems, Berlin, Germany, C1
T Tran, W Luo, D Phung, R Harvey, M Berk, R Kennedy, S Venkatesh
(2014), Vol. 14, pp. 1-9, BMC psychiatry, London, Eng., C1
S Gupta, T Tran, W Luo, D Phung, R Kennedy, A Broad, D Campbell, D Kipp, M Singh, M Khasraw, L Matheson, D Ashley, S Venkatesh
(2014), Vol. 4, pp. 1-7, BMJ open, London, England, C1
S Rana, T Tran, W Luo, D Phung, R Kennedy, S Venkatesh
(2014), Vol. 38, pp. 377-382, Australian health review, Melbourne, Vic., C1
Affective and content analysis of online depression communities
T Nguyen, D Phung, B Dao, S Venkatesh, M Berk
(2014), Vol. 5, pp. 217-226, IEEE Transactions on Affective Computing, Piscataway, N.J, C1
Tree-based iterated local search for Markov random fields with applications in image analysis
T Tran, D Phung, S Venkatesh
(2014), Vol. 21, pp. 25-45, Journal of heuristics, Berlin, Germany, C1
A framework for feature extraction from hospital medical data with applications in risk prediction
T Truyen, W Luo, P Dinh, S Gupta, S Rana, R Kennedy, A Larkins, S Venkatesh
(2014), Vol. 15, pp. 1-9, BMC Bioinformatics, London, Eng., C1
Fixed-lag particle filter for continuous context discovery using Indian Buffet Process
C Nguyen, S Gupta, S Venkatesh, Dinh Phung
(2014), pp. 20-28, PerCom 2014 : proceedings of the IEEE Pervasive Computing and Communications 2014 international conference, Budapest, Hungary, E1
Data-mining twitter and the autism spectrum disorder: a pilot study
A Beykikhoshk, O Arandjelović, D Phung, S Venkatesh, T Caelli
(2014), pp. 349-356, ASONAM 2014 : Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, Beijing, China, E1
Bayesian nonparametric multilevel clustering with group-level contexts
V Nguyen, D Phung, X Nguyen, S Venkatesh, H Bui
(2014), Vol. 32, pp. 288-269, ICML 2014 : Proceedings of the 31st International Conference on Machine Learning, Beijing, China, E1
A bayesian nonparametric framework for activity recognition using accelerometer data
T Nguyen, S Gupta, S Venkatesh, D Phung
(2014), pp. 2017-2022, ICPR 2014 : Proceedings of the 22nd International Conference on Pattern Recognition, Stockholm, Sweden, E1
Nonparametric discovery of learning patterns and autism subgroups from therapeutic data
P Vellanki, T Duong, S Venkatesh, D Phung
(2014), pp. 1828-1833, ICPR 2014 : Proceedings of the 22nd International Conference on Pattern Recognition, Stockholm, Sweden, E1
Regularizing topic discovery in emrs with side information by using hierarchical bayesian models
C Li, S Rana, D Phung, S Venkatesh
(2014), pp. 1307-1312, ICPR 2014 : Proceedings of the 22nd International Conference on Pattern Recognition, Stockholm, Sweden, E1
Analysis of circadian rhythms from online communities of individuals with affective disorders
B Dao, T Nguyen, S Venkatesh, D Phung
(2014), pp. 463-469, DSAA 2014 - Proceedings of the 2014 IEEE International Conference on Data Science and Advanced Analytics, Shanghai, China, E1
Individualized arrhythmia detection with ECG signals from wearable devices
B Nguyen, W Lou, T Caelli, S Venkatesh, D Phung
(2014), pp. 570-576, DSAA 2014 - Proceedings of the 2014 IEEE International Conference on Data Science and Advanced Analytics, Shanghai, China, E1
Unsupervised inference of significant locations from WiFi data for understanding human dynamics
T Nguyen, T Nguyen, W Luo, Venkatesh, Q Phung
(2014), pp. 232-235, MUM 2014 : Proceedings of the 13th International Conference on Mobile and Ubiquitous Multimedia, Melbourne, Victoria, E1-1
Speed up health research through topic modeling of coded clinical data
W Luo, Q Phung, T Nguyen, T Tran, S Venkatesh
(2014), pp. 1-4, IAPR 2014 : Proceedings of 2nd International Workshop on Pattern Recognition for Healthcare Analytics, Stockholm, Sweden, E1-1
S Gupta, S Rana, Q Phung, S Venkatesh
(2014), pp. 235-243, SDM 2014: Proceedings of the 14th SIAM International Conference on Data Mining 2014, Philadelphia, Pennsylvania, E1-1
Stabilizing sparse Cox model using clinical structures in electronic medical records
T Tran, S Gopakumar, Q Phung, S Venkatesh
(2014), pp. 1-4, IAPR 2014: Proceedings of 2nd International Workshop on Pattern Recognition for Healthcare Analytics, Stockholm, Sweden, E1-1
Ipoll: Automatic polling using online search
T Nguyen, D Phung, W Luo, T Tran, S Venkatesh
(2014), Vol. 8786 LNCS, pp. 266-275, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), E1-1
B Dao, T Nguyen, D Phung, S Venkatesh
(2014), Vol. 8786 LNCS, pp. 398-407, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), E1-1
Regularized nonnegative shared subspace learning
S Gupta, D Phung, B Adams, S Venkatesh
(2013), Vol. 26, pp. 57-97, Data mining and knowledge discovery, Boston, Mass., C1-1
Event extraction using behaviors of sentiment signals and burst structure in social media
T Nguyen, D Phung, B Adams, S Venkatesh
(2013), Vol. 37, pp. 279-304, Knowledge and information systems, London, England, C1
Compressive speech enhancement
S Low, D Pham, S Venkatesh
(2013), Vol. 55, pp. 757-768, Speech communication, Amsterdam, The Netherlands, C1
A novel information theoretic approach to wavelet feature selection for texture classification
I Naseem, D Pham, S Venkatesh
(2013), Vol. 39, pp. 319-325, Computers & electrical engineering, Amsterdam, The Netherlands, C1
Connectivity, online social capital, and mood : a Bayesian nonparametric analysis
D Phung, S Gupta, T Nguyen, S Venkatesh
(2013), Vol. 15, pp. 1316-1325, IEEE transactions on multimedia, Piscataway, N.J., C1
Efficient algorithms for robust recovery of images from compressed data
D Pham, S Venkatesh
(2013), Vol. 22, pp. 4724-4737, IEEE transactions on image processing, Piscataway, N.J., C1
Sparse subspace clustering via group sparse coding
B Saha, D Pham, D Phung, S Venkatesh
(2013), pp. 130-138, SDM 2013 : Proceedings of the thirteenth SIAM International Conference on Data Mining, Austin, Texas, E1
Clustering patient medical records via sparse subspace representation
B Saha, D Pham, D Phung, S Venkatesh
(2013), pp. 123-134, PAKDD 2013 : Advances in knowledge discovery and data mining : 17th Pacific-Asia Conference, Gold Coast, Australia, April 14-17, 2013 : proceedings, Gold Coast, Queensland, E1
Latent patient profile modelling and applications with mixed-variate restricted Boltzmann machine
T Nguyen, T Tran, D Phung, S Venkatesh
(2013), pp. 123-135, PAKDD 2013 : Advances in knowledge discovery and data mining : 17th Pacific-Asia Conference, Gold Coast, Australia, April 14-17, 2013 : proceedings, Gold Coast, Queensland, E1
Split-merge augmented Gibbs sampling for hierarchical dirichlet processes
S Rana, D Phung, S Venkatesh
(2013), pp. 546-557, PAKDD 2013 : Advances in knowledge discovery and data mining : 17th Pacific-Asia Conference, Gold Coast, Australia, April 14-17, 2013 : proceedings, Gold Coast, Queensland, E1
TOBY : Early intervention in autism through technology
S Venkatesh, D Phung, T Duong, S Greenhill, B Adams
(2013), pp. 3187-3196, CHI 2013 : Changing perspectives : Proceedings of the 31st Annual Conference on Human Factors in Computing Systems, Paris, France, E1
Exploiting side information in distance dependent Chinese restaurant processes for data clustering
C Li, D Phung, S Rana, S Venkatesh
(2013), pp. 1-6, ICME 2013 : Proceedings of the 14th IEEE International Conference on Multimedia and Expo, San Jose, California, E1
Analysis of psycholinguistic processes and topics in online autism communities
T Nguyen, D Phung, S Venkatesh
(2013), pp. 1-6, ICME 2013 : Proceedings of the 14th IEEE International Conference on Multimedia and Expo, San Jose, California, E1
Learning sparse latent representation and distance metric for image retrieval
T Nguyen, T Truyen, D Phung, S Venkatesh
(2013), pp. 1-6, ICME 2013 : Proceedings of the 14th IEEE International Conference on Multimedia and Expo, San Jose, California, E1
Online social capital : mood, topical and psycholinguistic analysis
T Nguyen, B Dao, D Phung, S Venkatesh, M Berk
(2013), pp. 449-456, ICWSM 2013 : Proceedings of the 7th AAAI International Conference on Weblogs and Social Media, Cambridge, Massachusetts, E1
Interactive browsing system for anomaly video surveillance
T Nguyen, D Phung, S Gupta, S Venkatesh
(2013), pp. 384-389, ISSNIP 2013 : Sensing the future : Proceedings of the IEEE 8th International Conference on Intelligent Sensors, Sensor Networks and Information Processing, Melbourne, Victoria, E1
T Nguyen, D Phung, S Gupta, S Venkatesh
(2013), pp. 47-55, PerCom 2013 : Proceedings of the 11th IEEE International Conference on Pervasive Computing and Commmunications, San Diego, California, E1
T Nguyen, D Phung, S Venkatesh
(2013), pp. 124-131, ICONIP 2013 : Neural information processing : 20th International Conference, Daegu, Korea, November 3-7, 2013. Proceedings, Daegu, Korea, E1
Thurstonian Boltzmann machines: learning from multiple inequalities
T Tran, D Phung, S Venkatesh
(2013), Vol. 28, pp. 46-54, ICML 2013 : Proceedings of the Machine Learning 2013 International Conference, Atlanta, Ga., E1-1
Factorial multi-task learning : a Bayesian nonparametric approach
S Gupta, Q Phung, S Venkatesh
(2013), pp. 1694-1702, ICML 2013 : Proceedings of the Machine Learning 2013 International Conference, Atlanta, Ga., E1-1
An integrated framework for suicide risk prediction
T Tran, Q Phung, W Luo, R Harvey, M Berk, S Venkatesh
(2013), pp. 1410-1418, KDD'13: Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining, Chicago, Ill., E1-1
Learning parts-based representations with nonnegative restricted boltzmann machine
T Nguyen, T Tran, Q Phung, S Venkatesh
(2013), Vol. 29, pp. 133-148, ACML 2013 : Proceedings of the 5th Asian Conference on Machine Learning, Canberra, Australia, E1-1
Improved image recovery from compressed data contaminated with impulsive noise
D Pham, S Venkatesh
(2012), Vol. 21, pp. 397-405, IEEE transactions on image processing, Piscataway, N. J, C1-1
Detection of cross-channel anomalies
D Pham, B Saha, D Phung, S Venkatesh
(2012), Vol. 35, pp. 33-59, Knowledge and Information Systems, Berlin, Germany, C1
A spectral slit approach to doubletalk detection
S Low, S Venkatesh, S Nordholm
(2012), Vol. 20, pp. 1074-1080, IEEE Transactions on Audio Speech and Language Processing, Piscataway, N.J., C1-1
Pervasive multimedia for autism intervention
S Venkatesh, S Greenhill, D Phung, B Adams, T Duong
(2012), Vol. 8, pp. 863-882, Pervasive and mobile computing, Amsterdam, The Netherlands, C1
Anomaly detection in large-scale data stream networks
D Pham, S Venkatesh, M Lazarescu, S Budhaditya
(2012), pp. 1-45, Data mining and knowledge discovery, New York, N.Y., C1
The Possibility of Symbolic Violence in Interviews With Young People Experiencing Homelessness
D Farrugia, D Farrugia
(2012), pp. 109-121, Negotiating Ethical Challenges in Youth Research, London, Eng., C1
An innovative face image enhancement based on principle component analysis
X Xu, W Liu, S Venkatesh
(2012), Vol. 3, pp. 259-267, International journal of machine learning and cybernetics, Berlin, Germany, C1-1
S Gupta, D Phung, S Venkatesh
(2012), pp. 200-212, SDM 2012 : Proceedings of the 12th SIAM International Conference on Data Mining, Anaheim, Calif., E1
Improved subspace clustering via exploitation of spatial constraints
D Pham, B Saha, D Phung, S Venkatesh
(2012), pp. 550-557, CVPR 2012 : Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Providence, R. I., E1
Towards a video browser for the digital native
B Adams, S Greenhill, S Venkatesh
(2012), pp. 127-132, ICMEW 2012 : Proceedings of the 13th IEEE International Conference on Multimedia and Expo Workshops, Melbourne, Vic., E1
Learning Boltzmann distance metric for face recognition
T Tran, D Phung, S Venkatesh
(2012), pp. 218-223, ICME 2012 : Proceedings of the 13th IEEE International Conference on Multimedia and Expo, Melbourne, Victoria, E1
T Tran, D Phung, S Venkatesh
(2012), pp. 1814-1821, FUSION 2012 : Proceedings of the 15th International Conference on Information Fusion, Singapore, E1
Sparse subspace representation for spectral document clustering
B Saha, D Phung, D Pham, S Venkatesh
(2012), pp. 1092-1097, ICDM 2012 : Proceedings of the 12th IEEE International Conference on Data Mining, Brussels, Belgium, E1
Large-scale statistical modeling of motion patterns : a Bayesian nonparametric approach
S Rana, D Phung, S Pham, S Venkatesh
(2012), pp. 1-8, ICVGIP 2012 : Proceedings of the 8th Indian Conference on Computer Vision, Graphics and Image Processing, Mumbai, India, E1
A sequential decision approach to ordinal preferences in recommender systems
T Tran, D Phung, S Venkatesh
(2012), pp. 676-682, AAAI 2012 : Proceedings of the 26th National Conference on Artificial Intelligence, Toronto, Ont., E1
Cumulative restricted Boltzmann machines for ordinal matrix data analysis
T Tran, D Phung, S Venkatesh
(2012), pp. 411-426, ACML 2012 : Proceedings of the 4th Asian Conference on Machine Learning, Singapore, E1
Learning from ordered sets and applications in collaborative ranking
T Tran, D Phung, S Venkatesh
(2012), pp. 427-442, ACML 2012 : Proceedings of the 4th Asian Conference on Machine Learning, Singapore, E1
A nonparametric Bayesian Poisson Gamma model for count data
S Gupta, D Phung, S Venkatesh
(2012), pp. 1815-1818, ICPR 2012 : Proceedings of 21st International Conference on Pattern Recognition, Tsubuka Science City, Japan, E1
Multi-modal abnormality detection in video with unknown data segmentation
T Nguyen, D Phung, S Rana, D Pham, S Venkatesh
(2012), pp. 1322-1325, ICPR 2012 : Proceedings of 21st International Conference on Pattern Recognition, Tsubuka Science City, Japan, E1
Optimal metric selection for improved multi-pose face recognition with group information
X Zhang, D Pham, W Liu, S Venkatesh
(2012), pp. 1675-1678, ICPR 2012 : Proceedings of 21st International Conference on Pattern Recognition, Tsubuka Science City, Japan, E1
A sentiment-aware approach to community formation in social media
T Nguyen, D Phung, B Adams, S Venkatesh
(2012), pp. 527-530, ICWSM 2012 : Proceedings of the Sixth International Conference on Weblogs and Social Media, Dublin, Ireland, E1
S Gupta, D Phung, S Venkatesh
(2012), pp. 316-325, UAI 2012 : Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence, Catalina Island, California, E1
Innovative sparse representation algorithms for robust face recognition
H Qiu, D Pham, S Venkatesh, J Lai, W Liu
(2011), Vol. 7, pp. 5645-5667, International journal of innovative computing, information & control, [Kumamoto, Japan], C1-1
Unified formulation of linear discriminant analysis methods and optimal parameter selection
S An, W Liu, S Venkatesh, H Yan
(2011), Vol. 44, pp. 307-319, Pattern recognition, Oxford, England, C1-1
Efficient subwindow search with submodular score functions
S An, P Peursum, W Liu, S Venkatesh
(2011), pp. 1409-1416, CVPR 2011 : Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Colorado Springs, Colo., E1-1
K Nahrstedt, S Venkatesh, N Venkatasubramanian, D Ponceleon, M Zemankova, S Boll
(2011), pp. 589-592, MM'11 : Proceedings of the 19th ACM Multimedia Conference and Co-Located Workshops, Scottsdale, Ariz., E1-1
Cognitive intervention in autism using multimedia stimulus
S Venkatesh, S Greenhill, D Phung, B Adams
(2011), pp. 769-770, MM'11 : Proceedings of the 19th ACM Multimedia Conference and Co-Located Workshops, Scottsdale, Ariz., E1-1
Eventscapes : visualizing events over time with emotive facets
B Adams, D Phung, S Venkatesh
(2011), pp. 1477-1480, MM'11 - Proceedings of the 2011 ACM Multimedia Conference and Co-Located Workshops, Scottsdale, AZ, E1-1
A context-sensitive device to help people with autism cope with anxiety
M Mohammedali, B Adams, D Phung, S Venkatesh
(2011), pp. 1201-1206, CHI EA 2011 : Proceedings of the 29th Conference on Human Factors in Computing Systems 2011, Vancouver, British Columbia, E1-1
Supervised subspace learning with multi-class Lagrangian SVM on the Grassmann manifold
D Pham, S Venkatesh
(2011), pp. 241-250, AI 2011 : Advances in Artificial Intelligence : 24th Australasian Joint Conference, Perth, Australia, December 5-8, 2011 : proceedings, Perth, Western Australia, E1-1
Prediction of age, sentiment, and connectivity from social media text
T Nguyen, D Phung, B Adams, S Venkatesh
(2011), pp. 227-240, WISE 2011 : Web Information Systems Engineering : 12th International Conference, Sydney, Australia, October 13-14 2011 : proceedings, Sydney, New South Wales, E1-1
A Bayesian framework for learning shared and individual subspaces from multiple data sources
S Gupta, D Phung, B Adams, S Venkatesh
(2011), pp. 136-147, PAKDD 2011 : Advances in knowledge discovery and data mining : 15th Pacific-Asia Conference, Shenzhen, China, May 24-27, 2011, proceedings, part II, Shenzhen, China, E1-1
Mixed-variate restricted Boltzmann machines
T Tran, D Phung, S Venkatesh
(2011), pp. 213-229, ACML 2011 : Proceedings of the 3rd Asian Conference on Machine Learning, Taoyuan, Taiwan, E1-1
T Truyen, D Phung, S Venkatesh
(2011), pp. 426-437, SDM 2011 : Proceedings of the 11th SIAM International Conference on Data Mining, Mesa, Ariz., E1-1
Towards discovery of influence and personality traits through social link prediction
T Nguyen, D Phung, B Adams, S Venkatesh
(2011), pp. 566-569, ICWSM-11 : Proceedings of the 5th AAAI International Conference on Weblogs and Social Media, Barcelona, Spain, E1-1
A matrix factorization framework for jointly analyzing multiple nonnegative data source
S Gupta, D Phung, B Adams, S Venkatesh
(2011), pp. 6-15, Proceedings of the 9th Workshop on Text Mining, in conjunction with the 11th SIAM International Conference on Data Mining, Mesa, Ariz., E1-1
Detection of cross-channel anomalies from multiple data channels
D Pham, B Saha, D Phung, S Venkatesh
(2011), pp. 527-536, ICDM 2011 : Proceedings of the IEEE International Conference on Data Mining, Vancouver, B. C., E1-1
Emotional reactions to real-world events in social networks
T Nguyen, D Phung, B Adams, S Venkatesh
(2011), pp. 53-64, New Frontiers in Applied Data Mining : Proceedings of the PAKDD 2011 International Workshops, Shenzhen, China, E1-1
Beyond epsilon science: "where to look and how to realize new opportunities"
K Nahrstedt, S Venkatesh, N Venkatasubramanian, D Ponceleon, M Zemankova, S Boll
(2011), pp. 589-592, MM'11 : Proceedings of the 19th ACM international conference on Multimedia, Scottsdale, Ariz., E1-1
A study on smoothing for particle-filtered 3D human body tracking
P Peursum, S Venkatesh, G West
(2010), Vol. 87, pp. 53-74, International journal of computer vision, New York, N. Y., C1-1
D Pham, H Bui, S Venkatesh
(2010), Vol. 56, pp. 6433-6449, IEEE transactions on information theory, Piscataway, N.J., C1-1
Discovery of latent subcommunities in a blog's readership
B Adams, D Phung, S Venkatesh
(2010), Vol. 4, pp. 1-30, ACM transactions on the web, New York, N. Y., C1-1
Multi-class pattern classification in imbalanced data
A Ghanem, S Venkatesh, G West
(2010), pp. 2881-2884, ICPR 2010 : Proceedings : 20th International Conference on Pattern Recognition, Istanbul, Turkey, E1-1
Nonnegative shared subspace learning and its application to social media retrieval
S Gupta, D Phung, B Adams, T Tran, S Venkatesh
(2010), pp. 1169-1178, KDD 2010 : Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, D. C., E1-1
Hyper-community detection in the blogosphere
T Nguyen, D Phung, B Adams, T Tran, S Venkatesh
(2010), pp. 21-26, WSM 2010 : Proceedings of the 2nd ACM SIGMM Workshop on Social Media, Firenze, Italy, E1-1
A unified 2D-3D video scene change detection framework for mobile camera platforms
W Leoputra, T Tan, S Venkatesh
(2010), pp. 2147-2153, ICARCV 2010 : 11th International Conference on Control, Automation, Robotics and Vision, Singapore, Singapore, E1-1
Exploiting monge structures in optimum subwindow search
S An, P Peursum, W Liu, S Venkatesh, X Chen
(2010), pp. 926-933, CVPR 2010 :Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, San Francisco, Calif., E1-1
Augmenting trust establishment in dynamic systems with social networks
B Lagesse, M Kumar, S Venkatesh, M Lazarescu
(2010), pp. 1-4, CSIIRW10 : Cyber Security and Information Intelligence Challenges and Strategies, ACM International Conference Proceeding Series, Oak Ridge, Tennessee, E1-1
Interactively browsing movies in terms of action, foreshadowing and resolution
S Greenhill, B Adams, S Venkatesh
(2010), pp. 197-200, JCDL 2010 : Proceedings of the 2010 ACM/IEEE International Joint Conference on Digital Libraries : Vision 2020 - Beyond Digital Libraries, Surfers Paradise, Qld., E1-1
A fast extension for sparse representation on robust face recognition
H Qiu, D Pham, S Venkatesh, W Liu, J Lai
(2010), pp. 1023-1027, ICPR 2010 : Proceedings : 20th International Conference on Pattern Recognition, Istanbul, Turkey, E1-1
Classification and pattern discovery of mood in weblogs
T Nguyen, D Phung, B Adams, T Tran, S Venkatesh
(2010), pp. 283-290, PAKDD 2010 : Advances in knowledge discovery and data mining : 14th Pacific-Asia Conference, Hydrabad, India, E1-1
A Smartphone-based obstacle sensor for the visually impaired
E Peng, P Peursum, L Li, S Venkatesh
(2010), pp. 590-604, UIC 2010 : Ubiquitous intelligence and computing : 7th International Conference, Xi'an, China, October 26-29, 2010 : proceedings, Xi'an, China, E1-1
Portable form filling assistant for the visually impaired
E Peng, P Peursum, L Li, S Venkatesh
(2010), pp. 269-277, HCI 2010 : Proceedings of the 24th BCS Conference on Human Computer Interaction : Play is a serious business, Dundee, U. K., E1-1
Classifying multiple imbalanced attributes in relational data
A Ghanem, S Venkatesh, G West
(2009), pp. 220-229, AI 2009 : advances in artificial intelligence, Berlin, Germany, B1-1
Automatic fitting of a deformable face mask using a single image
A Kuhl, T Tan, S Venkatesh
(2009), pp. 69-81, Computer vision : computer graphics collaboration techniques, Berlin, Germany, B1-1
A Kuhl, T Tan, S Venkatesh
(2009), pp. 173-194, State of the art in face recognition, Vienna, Austria, B1-1
A unified tensor framework for face recognition
S Rana, W Liu, M Lazarescu, S Venkatesh
(2009), Vol. 42, pp. 2850-2862, Pattern recognition, Oxford, England, C1-1
Dynamic privacy in public surveillance
S Moncrieff, S Venkatesh, G West
(2009), Vol. 42, pp. 22-28, Computer, Piscataway, N.J., C1-1
Efficient duration and hierarchical modeling for human activity recognition
T Duong, D Phung, H Bui, S Venkatesh
(2009), Vol. 173, pp. 830-856, Artificial intelligence, Amsterdam, Netherlands, C1-1
Unsupervised context detection using wireless signals
D Phung, B Adams, S Venkatesh, M Kumar
(2009), Vol. 5, pp. 714-733, Pervasive and mobile computing, Amsterdam, Netherlands, C1-1
Scalable network-wide anomaly detection using compressed data
D Pham, B Saha, M Lazarescu, S Venkatesh
(2009), Perth, W. A., A6-1
Ordinal Boltzmann machines for collaborative filtering
T Truyen, D Phung, S Venkatesh
(2009), pp. 548-556, UAI 2009 : Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, Montreal, Quebec, E1-1
Comparative evaluation of pedestrian detection methods for mobile bus surveillance
W Leoputra, S Venkatesh, T Tan
(2009), pp. 3525-3528, ICASSP 2009 : Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, Taipei, Taiwan, E1-1
Social reader : following social networks in the wilds of the blogosphere
B Adams, D Phung, S Venkatesh
(2009), pp. 73-80, WSM'09 : Proceedings of the 1st ACM SIGMM International Workshop on Social Media, Beijing, China, E1-1
R Negoescu, B Adams, D Phung, S Venkatesh, D Gatica-Perez
(2009), pp. 813-816, MM'09 : Proceedings of the 17th ACM Multimedia Conference, Beijing, China, E1-1
Distributed audio network for speech enhancement in challenging noise backgrounds
T Kuhnapfel, T Tan, S Venkatesh, B Igel
(2009), pp. 308-313, AVSS 2009 : Proceedings of the 6th IEEE International Conference on Advanced Video and Signal Based Surveillance, Genoa, Italy, E1-1
Efficient algorithms for subwindow search in object detection and localization
S An, P Peursum, W Liu, S Venkatesh
(2009), pp. 264-271, CVPR 2009 : Proceeding of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, Miami, Fla., E1-1
A framework for the design of privacy preserving pervasive healthcare
S Moncrieff, S Venkatesh, G West
(2009), pp. 1696-1699, ICME 2009 : Proceedings of the IEEE International Conference on Multimedia and Expo, New York, N. Y., E1-1
Effective anomaly detection in sensor networks data streams
B Saha, D Pham, M Lazarescu, S Venkatesh
(2009), pp. 722-727, ICDM 2009 : Proceedings of the 9th IEEE International Conference on Data Mining, Miami, Fla., E1-1
High accuracy context recovery using clustering mechanisms
D Phung, B Adams, K Tran, S Venkatesh, M Kumar
(2009), pp. 2-9, PerCom 2009 : Proceedings of the 7th Annual IEEE International Conference on Pervasive Computing and Communications, Galveston, Tex., E1-1
Dynamic privacy assessment in a smart house environment using multimodal sensing
S Moncrieff, S Venkatesh, G West
(2008), Vol. 5, pp. 1-29, ACM transactions on multimedia computing communications and applications, New York, N. Y., C1-1
Recognising online spatial activities using a bioinformatics inspired sequence alignment approach
D Riedel, S Venkatesh, W Liu
(2008), Vol. 41, pp. 3481-3492, Pattern recognition, Oxford, England, C1-1
Sensing and using social context
B Adams, D Phung, S Venkatesh
(2008), Vol. 5, pp. 1-27, ACM transactions on multimedia computing communications and applications, New York, N. Y., C1-1
Using dynamic time warping for online temporal fusion in multisensor systems
M Ko, G West, S Venkatesh, M Kumar
(2008), Vol. 9, pp. 370-388, Information fusion, Amsterdam, Netherlands, C1-1
Model-based character recognition in low resolution
A Kuhl, T Tan, S Venkatesh
(2008), pp. 1001-1004, ICIP 2008 : Proceedings of the International Conference on Image Processing, San Diego, Calif., E1-1
Temporal semantic compression for video browsing
B Adams, S Greenhill, S Venkatesh
(2008), pp. 293-296, IUI'08 : Proceedings of the 13th International Conference on Intelligent User Interfaces, Maspalomas, Gran Canaria, E1-1
The hidden permutation model and location-based activity recognition
H Bui, D Phung, S Venkatesh, H Phan
(2008), pp. 1345-1350, AAAI 2008 : Proceedings of the 23rd AAAI Conference on Artificial Intelligence, Chicago, Ill., E1-1
Passenger monitoring in moving bus video
W Leoputra, S Venkatesh, T Tan
(2008), pp. 719-725, ICARCV 2008 : Proceedings of the 10th International Conference on Control, Automation, Robotics and Vision, Hanoi, Vietnam, E1-1
Pedestrian detection for mobile bus surveillance
W Leoputra, S Venkatesh, T Tan
(2008), pp. 726-732, ICARCV 2008 : Proceedings of the 10th International Conference on Control, Automation, Robotics and Vision, Hanoi, Vietnam, E1-1
Computable social patterns from sparse sensor data
D Phung, B Adams, S Venkatesh
(2008), pp. 69-72, LocWeb 2008 : Proceedings of the 1st International Workshop on Location and the web, Beijing, China, E1-1
Exploiting side information in locality preserving projection
S An, W Liu, S Venkatesh
(2008), pp. 1-8, CVPR 2008 : Proceedings of the 26th IEEE Conference on Computer Vision and Pattern Recognition, Anchorage, Alaska, E1-1
Joint learning and dictionary construction for pattern recognition
D Pham, S Venkatesh
(2008), pp. 1-8, CVPR 2008 : Proceedings of the 26th IEEE Conference on Computer Vision and Pattern Recognition, Anchorage, Alaska, E1-1
Recognising faces in unseen modes: a tensor based approach
S Rana, W Liu, M Lazarescu, S Venkatesh
(2008), pp. 1-8, CVPR 2008 : Proceedings of the 26th IEEE Conference on Computer Vision and Pattern Recognition, Anchorage, Alaska, E1-1
D Pham, S Venkatesh
(2008), pp. 1-7, CVPR 2008 : Proceedings of the 26th IEEE Conference on Computer Vision and Pattern Recognition, Anchorage, Alaska, E1-1
Contextual navigation in a multimedia journal
S Greenhill, S Venkatesh
(2008), pp. 833-836, MM'08 : Proceedings of the 16th ACM International Conference on Multimedia, Vancouver, B. C., E1-1
Adaptive speech enhancement with varying noise backgrounds
T Kuhnapfel, T Tan, S Venkatesh, S Nordholm, B Igel
(2008), pp. 1-4, ICPR 2008 : Proceedings of the 19th International Conference on Pattern Recognition, Tampa, Fla., E1-1
Boosting performance for 2D linear discriminant analysis via regression
N Nguyen, W Liu, S Venkatesh
(2008), pp. 1-4, ICPR 2008 : Proceedings of the 19th International Conference on Pattern Recognition, Tampa, Fla., E1-1
Context aware privacy in visual surveillance
S Moncrieff, S Venkatesh, G West
(2008), pp. 1-4, ICPR 2008 : Proceedings of the 19th International Conference on Pattern Recognition, Tampa, Fla., E1-1
Efficient tensor based face recognition
S Rana, W Liu, M Lazarescu, S Venkatesh
(2008), pp. 1-4, ICPR 2008 : Proceedings of the 2008 19th International Conference on Pattern Recognition, Tampa, Florida, E1-1
Learning in imbalanced relational data
A Ghanem, S Venkatesh, G West
(2008), pp. 1-4, ICPR 2008 : Proceedings of the 19th International Conference on Pattern Recognition, Tampa, Fla., E1-1
Model-based combined tracking and resolution enhancement
A Kuhl, T Tan, S Venkatesh
(2008), pp. 1-4, ICPR 2008 : Proceedings of the 19th International Conference on Pattern Recognition, Tampa, Fla., E1-1
Ridge regression for two dimensional locality preserving projection
N Nguyen, W Liu, S Venkatesh
(2008), pp. 1-4, ICPR 2008 : Proceedings of the 19th International Conference on Pattern Recognition, Tampa, Fla., E1-1
Constrained sequence classification for lexical disambiguation
T Truyen, D Phung, S Venkatesh
(2008), pp. 430-441, PRICAI 2008 : Trends in Artificial Intelligence : 10th Pacific Rim International Conference on Artificial Intelligence, Hanoi, Vietnam, December 15-19, 2008, proceedings, Hanoi, Vietnam, E1-1
Learning discriminative sequence models from partially labelled data for activity recognition
T Truyen, H Bui, D Phung, S Venkatesh
(2008), pp. 903-912, PRICAI 2008 : Trends in Artificial Intelligence : 10th Pacific Rim International Conference on Artificial Intelligence, Hanoi, Vietnam, December 15-19, 2008, proceedings, Hanoi, Vietnam, E1-1
Hierarchical semi-markov conditional random fields for recursive sequential data
T Truyen, D Phung, H Bui, S Venkatesh
(2008), pp. 1657-1664, NIPS 2008 : Advances in Neural Information Processing Systems 21 : Proceedings of the 2008 Conference, Vancouver, B. C., E1-1
Indoor location prediction using multiple wireless received signal strengths
K Tran, D Phung, B Adams, S Venkatesh
(2008), pp. 187-192, AusDM 2008 : Proceedings of the 7th Australasian Data Mining Conference, Glenelg, S. Aust., E1-1
S An, W Liu, S Venkatesh
(2007), pp. 647-654, Advances in multimedia information processing – PCM 2007, Berlin, Germany, B1-1
Random Subspace Two-Dimensional PCA for face recognition
N Nguyen, W Liu, S Venkatesh
(2007), pp. 655-664, Advances in multimedia information processing--PCM 2007 : 8th Pacific Rim Conference on Multimedia, Hong Kong, China, December 11-14, 2007 : proceedings, Berlin, Germany, B1-1
S An, W Liu, S Venkatesh
(2007), Vol. 40, pp. 2154-2162, Pattern recognition, Oxford, U. K., C1-1
S Moncrieff, S Venkatesh
(2007), Vol. 3, pp. 296-308, International Journal of Intelligent Systems Technologies and Applications, C1-1
Multi-modal emotive computing in a smart house environment
S Moncrieff, S Venkatesh, G West, S Greenhill
(2007), Vol. 3, pp. 74-94, Pervasive and mobile computing, Amsterdam, Netherlands, C1-1
Online audio background determination for complex audio environments
S Moncrieff, S Venkatesh, G West
(2007), Vol. 3, pp. 1-30, ACM transactions on multimedia computing communications and applications, New York, N. Y., C1-1
Recognition of emergent human behaviour in a smart home : a data mining approach
S Luhr, G West, S Venkatesh
(2007), Vol. 3, pp. 95-116, Pervasive and mobile computing, Amsterdam, Netherlands, C1-1
Threshold dynamic time warping for spatial activity recognition
D Riedel, S Venkatesh, W Liu
(2007), Vol. 3, pp. 392-405, International journal of information and systems sciences, Alberta, Canada, C1-1
Video abstraction : a systematic review and classification
B Truong, S Venkatesh
(2007), Vol. 3, pp. 1-37, ACM transactions on multimedia computing communications and applications, New York, N.Y., C1-1
Robust wifi localization using received signal strength
F Khan, D Phung, S Venkatesh
(2007), [Perth, W. A.], A6-1
Calibration of audio-video sensors for multi-modal event indexing
T Kuhnapfel, T Tan, S Venkatesh, E Lehmann
(2007), ICASSP 2007 : Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing 2007, Honolulu, Hawaii, E1-1
Face recognition using kernel ridge regression
S An, W Liu, S Venkatesh
(2007), CVPR 2007 : Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Minneapolis, Minn., E1-1
Tracking-as-recognition for articulated full-body human motion analysis
P Peursum, S Venkatesh, G West
(2007), CVPR 2007 : Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Minneapolis, MN, E1-1
Dynamic privacy in a smart house environment
S Moncrieff, S Venkatesh, G West
(2007), pp. 2034-2037, ICME 2007 : Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, Beijing, China, E1-1
Distributed query processing for mobile surveillance
S Greenhill, S Venkatesh
(2007), pp. 413-422, ACM Multimedia 2007 : proceedings of the 15th ACM International Conference on Multimedia, Augsburg, Germany, E1-1
Privacy and the access of information in a smart house environment
S Moncrieff, S Venkatesh, G West
(2007), pp. 671-680, ACM Multimedia 2007 : proceedings of the 15th ACM International Conference on Multimedia, Augsburg, Germany, E1-1
Towards the next plateau: Innovative multimedia research beyond TRECVID
T Chua, A Hanjalic, R Jain, W Ma, A Smeaton, J Smith, S Venkatesh
(2007), pp. 1054-1054, ACM Multimedia 2007 : proceedings of the 15th ACM International Conference on Multimedia, Augsburg, Germany, E1-1
Infrequent item mining in multiple data streams
B Saha, M Lazarescu, S Venkatesh
(2007), pp. 569-574, Data Mining Workshops, 2007. ICDM Workshops 2007. Seventh IEEE International Conference on; ICDM 2007, Omaha, NE, E1-1
Generating comprehensible summaries of rushes sequences based on robust feature matching
B Truong, S Venkatesh
(2007), pp. 30-34, TVS 2007 : Proceedings of the International workshop on TRECVID video summarization, Augsburg, Germany, E1-1
Linking identities and viewpoints in home movies based on robust feature matching
B Truong, S Venkatesh
(2007), pp. 636-648, MMM'07 : Advances in multimedia modeling : Proceedings of the 13th International Multimedia Modeling Conference, Singapore, Singapore, E1-1
Preference Networks: probabilistic models for recommendation systems
T Tran, D Phung, S Venkatesh
(2007), pp. 195-202, AusDM 2007 : Proceedings of 6th Australasian Data Mining Conference., Gold Coast, N.S.W., E1-1
Utility-based summarization of home videos
B Truong, S Venkatesh
(2007), pp. 505-516, MMM'07 : Advances in multimedia modeling : Proceedings of the 13th International Multimedia Modeling Conference, Singapore, Singapore, E1-1
Face recognition via incremental 2DPCA
C Lu, W Liu, S Venkatesh, S An
(2007), IJCAI 2007 : Proceedings of the 20th International Joint Conference on Artificial Intelligence, Hyderabad, India, E1-1
Face recognition via the overlapping energy histogram
R Tjahyadi, W Liu, S An, S Venkatesh
(2007), pp. 2891-2896, IJCAI 2007 : Proceedings of the 20th International Joint Conference on Artificial Intelligence, Hyderabad, India, E1-1
A chemotactic-based model for spatial activity recognition
D Riedel, S Venkatesh, W Liu
(2006), Vol. 37, pp. 949-959, International journal of systems science, Essex, U. K., C1-1
A fast feature-based dimension reduction algorithm for kernel classifiers
S An, W Liu, S Venkatesh, R Tjahyadi
(2006), Vol. 24, pp. 137-151, Neural processing letters, Secaucus, N.J., C1-1
Automatic parameters selection for eigenfaces
R Tjahyadi, W Liu, S Venkatesh
(2006), Vol. 2, pp. 277-288, Pacific journal of optimization, Yokohama, Japan, C1-1
AdaBoost.MRF: Boosted Markov random forests and application to multilevel activity recognition
T Tran, Phung, H Bui, S Venkatesh
(2006), pp. 1686-1693, CVPR 2006 : Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, New York, N.Y., E1-1
D Tran, D Phung, H Bui, S Venkatesh
(2006), pp. 168-172, ICPR 2006 : Proceedings of the 18th International Conference on Pattern Recognition, Hong Kong, China, E1-1
Efficient cross-validation of the complete two stages in KFD classifier formulation
S An, W Liu, S Venkatesh
(2006), pp. 240-244, ICPR 2006 : Proceedings of the 18th International Conference on Pattern Recognition, Hong Kong, China, E1-1
T Duong, D Phung, H Bui, S Venkatesh
(2006), pp. 202-207, ICPR 2006 : Proceedings of the 18th International Conference on Pattern Recognition, Hong Kong, China, E1-1
P Peursum, S Venkatesh, G West
(2006), pp. 929-934, ICPR 2006 : Proceedings of the 18th International Conference on Pattern Recognition, Hong Kong, China, E1-1
Unifying background models over complex audio using entropy
S Moncrieff, S Venkatesh, G West
(2006), pp. 249-253, ICPR 2006 : Proceedings of the 18th International Conference on Pattern Recognition, Hong Kong, China, E1-1
A smith-waterman local alignment approach for spatial activity recognition
D Riedel, S Venkatesh, W Liu
(2006), pp. 54-59, AVSS 2006 : Proceedings of the IEEE International Conference on Video and Signal Based Surveillance, Sydney, N. S. W., E1-1
Browsing personal media archives with spatial context using panoramas
B Adams, S Greenhill, S Venkatesh
(2006), pp. 711-714, ACM-MM 2006 : Proceedings of the 14th Annual ACM International Conference on Multimedia, Santa Barbara, Calif., E1-1
Extraction of social context and application to personal multimedia exploration
B Adams, D Phung, S Venkatesh
(2006), pp. 987-996, ACM-MM 2006 : Proceedings of the 14th Annual ACM International Conference on Multimedia, Santa Barbara, Calif., E1-1
Virtual observers in a mobile surveillance system
S Greenhill, S Venkatesh
(2006), pp. 579-588, ACM-MM 2006 : Proceedings of the 14th Annual ACM International Conference on Multimedia, Santa Barbara, Calif., E1-1
Narrative structure detection through audio pace
S Moncrieff, S Venkatesh
(2006), pp. 20-27, MMM 2006 : Proceedings of the 12th International Multi-Media Modelling Conference, Beijing, China, E1-1
An embedded suggestive interface for making home videos
B Adams, S Venkatesh
(2006), pp. 2025-2028, ICME 2006 : Proceedings of the IEEE International Conference on Multimedia and Expo 2006, Toronto, Ontario, E1-1
N Nguyen, S Venkatesh, H Bui
(2006), pp. 1239-1248, BMVC 2006 : Proceedings of the 17th British Machine Vision Conference, Edinburgh, Scotland, E1-1
Curtin at TRECVID 2006 : shot boundary detection based and rushes summarization
B Truong, S Venkatesh
(2006), TRECVID’06 : Video retrieval workshop, Gaithersburg, Md., E1-1
Multimedia authoring : human-computer partnership for harvesting metadata from the right sources
B Adams, S Venkatesh
(2005), pp. 223-245, Managing multimedia semantics, Hershey, PA, USA, B1-1
A probabilistic framework for extracting narrative act boundaries and semantics in motion pictures
B Adams, S Venkatesh, H Bui, C Dorai
(2005), Vol. 27, pp. 195-213, Multimedia tools and applications, Secaucus, N.J., C1-1
Extraction of film takes for cinematic analysis
B Truong, S Venkatesh, C Dorai
(2005), Vol. 26, pp. 277-298, Multimedia tools and applications, Secaucus, N.J., C1-1
IMCE : integrated media creation environment
B Adams, S Venkatesh, R Jain
(2005), Vol. 1, pp. 211-247, ACM transactions on multimedia computing communications and applications, New York, N. Y., C1-1
Robust recognition and segmentation of human actions using HMMs with missing observations
P Peursum, H Bui, S Venkatesh, G West
(2005), Vol. 2005, pp. 2110-2126, EURASIP journal on applied signal processing, Heidelberg, Germany, C1-1
An extended frequent pattern tree for intertransaction association rule mining
S Luhr, G West, S Venkatesh
(2005), Perth, W. A., A6-1
Structural identification and segmentation of topical content in educational videos
D Phung, S Venkatesh
(2005), Perth, W. A., A6-1
Fast cross-validation of kernel fisher discriminant classifiers
S An, W Liu, S Venkatesh
(2005), pp. 22-27, ICMLA 2005 : Proceedings of the 4th International Conference on Machine Learning and Applications, Los Angeles, Calif., E1-1
P Peursum, G West, S Venkatesh
(2005), pp. 82-89, ICCV 2005 : Proceedings of the IEEE International Conference on Computer Vision, Beijing, China, E1-1
A fast kernel dimension reduction algorithm with applications to face recognition
S An, W Liu, S Venkatesh, R Tjahyadi
(2005), pp. 3369-3376, ICMLC 2005 : Proceedings of the 4th International Conference on Machine Learning and Cybernetics, Guangzhou, China, E1-1
Activity recognition and abnormality detection with the switching hidden semi-Markov model
T Duong, H Bui, D Phung, S Venkatesh
(2005), pp. 838-845, CVPR 2005 : Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, San Diego, Calif., E1-1
N Nguyen, D Phung, S Venkatesh, H Bui
(2005), pp. 955-960, CVPR 2005 : Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, San Diego, Calif., E1-1
A probabilistic approach to the anxious home for activity monitoring
G West, S Greenhill, S Venkatesh
(2005), pp. 335-340, COMPSAC 2005 : Proceedings of the 29th Annual International Computer Software and Applications Conference, Edinburgh, Scotland, E1-1
Boosted Markov networks for activity recognition
T Truyen, H Bui, S Venkatesh
(2005), pp. 289-294, Proceedings of the 2005 Intelligent Sensors, Sensor Networks & Information Processing Conference, Melbourne, Vic., E1-1
Emergent intertransaction association rules for abnormality detection in intelligent environments
S Luhr, S Venkatesh, G West
(2005), pp. 343-347, Proceedings of the 2005 Intelligent Sensors, Sensor Networks & Information Processing Conference, Melbourne, Vic., E1-1
Face recognition based on ordinal correlation approach
R Tjahyadi, W Liu, S An, S Venkatesh
(2005), pp. 349-354, Proceedings of the 2005 Intelligent Sensors, Sensor Networks & Information Processing Conference, Melbourne, Vic., E1-1
D Tran, D Phung, H Bui, S Venkatesh
(2005), pp. 331-335, Proceedings of the 2005 Intelligent Sensors, Sensor Networks & Information Processing Conference, Melbourne, Vic., E1-1
Incorporating contextual audio for an actively anxious smart home
S Moncrieff, S Venkatesh, G West, S Greenhill
(2005), pp. 373-378, Proceedings of the 2005 Intelligent Sensors, Sensor Networks & Information Processing Conference, Melbourne, Vic., E1-1
Online context recognition in multisensor systems using Dynamic Time Warping
M Ko, G West, S Venkatesh, M Kumar
(2005), pp. 283-288, Proceedings of the 2005 intelligent sensors, sensor networks and information processing conference, Melbourne, Vic., E1-1
Spatial activity recognition in a smart home environment using a chemotactic model
D Riedel, S Venkatesh, W Liu
(2005), pp. 301-306, Proceedings of the 2005 intelligent sensors, sensor networks and information processing conference, Melbourne, Vic., E1-1
Finding the optimal temporal partitioning of video sequences
B Truong, S Venkatesh
(2005), pp. 1182-1185, ICME 2005 : Proceedings of the IEEE International Conference on Multimedia and Expo 2005, Amsterdam, The Netherland, E1-1
Injection, detection and repair of aesthetics in home movies
B Adams, S Venkatesh
(2005), pp. 33-36, 2005 IEEE International Conference on Multimedia and Expo (ICME), Amsterdam, E1-1
Persistent audio modelling for background determination
S Moncrieff, S Venkatesh, G West
(2005), pp. 41-44, ICME 2005 : Proceedings of the IEEE International Conference on Multimedia and Expo 2005, Amsterdam, The Netherlands, E1-1
Human activity learning and segmentation using partially hidden discriminative models
T Truyen, H Bui, S Venkatesh
(2005), pp. 87-95, HAREM 2005 : Proceedings of the International Workshop on Human Activity Recognition and Modelling, Oxford, U. K., E1-1
Situated event bootstrapping and capture guidance for automated home movie authoring
B Adams, S Venkatesh
(2005), pp. 754-763, MM'05 : Proceedings of the 13th ACM International Conference on Multimedia, Singapore, Singapore, E1-1
Temporal data fusion in multisensor systems using dynamic time warping
K Hsiao, G West, S Venkatesh, M Kumar
(2005), pp. 1-9, SENSORFUSION 2005 : Workshop on Information Fusion and Dissemination in Wireless Sensor Networks, Budapest, Hungary, E1-1
Topic transition detection using hierarchical hidden Markov and semi-Markov models
D Phung, T Duong, S Venkatesh, H Bui
(2005), pp. 11-20, MM'05 : Proceedings of the 13th ACM International Conference on Multimedia, Singapore, Singapore, E1-1
Discovery of activity structures using the hierarchical hidden Markov model
N Nguyen, S Venkatesh
(2005), BMCV 2005 : Proceedings of the British Machine Vision Conference, Oxford, U. K., E1-1
Dynamic shot suggestion filtering for home video based on user performance
B Adams, S Venkatesh
(2005), pp. 363-366, MM'05 : Proceedings of the 13th ACM International Conference on Multimedia, Singapore, Singapore, E1-1
T Duong, D Phung, H Bui, S Venkatesh
(2005), pp. 277-282, Proceedings of the 2005 intelligent sensors, sensor networks and information processing conference, Melbourne, Vic., E1-1
Fast exact cross-validation of least squares support vector machines
S An, W Liu, S Venkatesh
(2005), VIP 2005 : Asia-Pacific Workshop on Visual Information Processing, Hong Kong, China, E1-1
Finding the optimal temporal partitioning of video sequences
B Truong, S Venkatesh
(2005), pp. 1183-1186, 2005 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO (ICME), VOLS 1 AND 2, Toronto, CANADA, E1-1
Adaptive model for foreground extraction in adverse lighting conditions
S Greenhill, S Venkatesh, G West
(2004), pp. 805-811, PRICAI 2004 : trends in artificial intelligence : 8th Pacific Rim International Conference on Artificial Intelligence, Auckland, New Zealand, August 9-13, 2004 : proceedings, Berlin, Germany, B1-1
Classifying human actions using an incomplete real-time pose skeleton
P Peursum, H Bui, S Venkatesh, G West
(2004), pp. 971-972, PRICAI 2004 : trends in artificial intelligence : 8th Pacific Rim International Conference on Artificial Intelligence, Auckland, New Zealand, August 9-13, 2004 : proceedings, Berlin, Germany, B1-1
Explicit state duration HMM for abnormality detection in sequences of human activity
S Luhr, S Venkatesh, G West, H Bui
(2004), pp. 983-984, PRICAI 2004 : trends in artificial intelligence : 8th Pacific Rim International Conference on Artificial Intelligence, Auckland, New Zealand, August 9-13, 2004 : proceedings, Berlin, Germany, B1-1
Automatic labeling of sports video using umpire gesture recognition
G Chambers, S Venkatesh, G West
(2004), pp. 859-867, Structural, syntactic, and statistical pattern recognition : joint IAPR international workshops SSPR 2004 and SPR 2004, Lisbon, Portugal, August 18-20, 2004 : proceedings, Berlin, Germany, B1-1
D Phung, H Bui, S Venkatesh
(2004), pp. 1155-1163, Structural, syntactic, and statistical pattern recognition : joint IAPR international workshops SSPR 2004 and SPR 2004, Lisbon, Portugal, August 18-20, 2004 : proceedings, Berlin, Germany, B1-1
Learning people movement model from multiple cameras for behaviour recognition
N Nguyen, S Venkatesh, G West, H Bui
(2004), pp. 315-324, Structural, syntactic, and statistical pattern recognition : joint IAPR international workshops SSPR 2004 and SPR 2004, Lisbon, Portugal, August 18-20, 2004 : proceedings, Berlin, Germany, B1-1
An immunological approach to raising alarms in video surveillance
L Sasmita, W Liu, S Venkatesh
(2004), pp. 79-86, Advances in multimedia information processing - PCM 2004 : 5th Pacific Rim Conference on Multimedia, Tokyo, Japan, November 30 - December 3, 2004 ; part III, Berlin, Germany, B1-1
Formation of a geometric pattern with a mobile wireless sensor network
J Lee, S Venkatesh, M Kumar
(2004), Vol. 21, pp. 517-530, Journal of robotic systems, Hoboken N. J., C1-1
Using interaction signatures to find and label chairs and floors
P Peursum, S Venkatesh, G West, H Bui
(2004), Vol. 3, pp. 58-65, IEEE pervasive computing, Piscataway, N. J, C1-1
Using multiple windows to track concept drift
M Lazarescu, S Venkatesh, H Bui
(2004), Vol. 8, pp. 29-59, Intelligent data analysis, Amsterdam, The Netherlands, C1-1
Duration abnormality detection in sequences of human activity
S Luhr, S Venkatesh, G West, H Bui
(2004), Perth, W. A., A6-1
Human action recognition with an incomplete real-time pose skeleton
P Peursum, H Bui, S Venkatesh, G West
(2004), Perth, W. A., A6-1
S Boll, D Bulterman, R Jain, T Chua, R Lienhart, L Wilcox, M Davis, S Venkatesh
(2004), pp. 868-869, ACM Multimedia 2004 : proceedings of the 12th ACM International Conference on Multimedia, New York, NY, E1-1
Director in your pocket : holistic help for the hapless home videographer
B Adams, S Venkatesh
(2004), pp. 460-463, ACM Multimedia 2004 - proceedings of the 12th ACM International Conference on Multimedia, New York, N. Y., E1-1
D Phung, S Venkatesh, H Bui
(2004), pp. 1605-1608, ICIP 2004 : Proceedings of the 2004 International Conference on Image Processing, Singapore, E1-1
Human action segmentation via controlled use of missing data in HMMs
P Peursum, H Bui, S Venkatesh, G West
(2004), pp. 440-445, ICPR 2004 : Proceedings of the 17th International Conference on Pattern Recognition, Cambridge, U. K., E1-1
Hierarchical hidden Markov models with general state hierarchy
H Bui, D Phung, S Venkatesh
(2004), pp. 324-329, Proceedings of the National Conference on Artificial Intelligence, San Jose, Calif., E1-1
Discovering semantics from visualizations of film takes
B Truong, S Venkatesh, C Dorai
(2004), pp. 109-116, Proceedings : 10th International Multimedia Modeling Conference : MMM 2004 : Brisbane, Australia, 5-7 January 2004, Brisbane, Qld., E1-1
Segmentation of intentional human gestures for sports video annotation
G Chambers, S Venkatesh, G West, H Bui
(2004), pp. 124-129, MMM 2004 : Proceedings of the 10th International Multimedia Modelling Conference, Brisbane, Qld., E1-1
B Adams, S Venkatesh
(2004), pp. 367-367, MMM 2004 : Proceedings of the 10th International Multimedia Modelling Conference, Brisbane, Qld., E1-1
Application of the DCT energy histogram for face recognition
R Tjahyadi, W Liu, S Venkatesh
(2004), pp. 314-319, ICITA 2004 : Proceedings of the Second International Conference on Information Technology and Applications, Harbin, China, E1-1
IMCE : integrated media creation environment
B Adams, S Venkatesh, R Jain
(2004), pp. 835-838, ICME 2004 : Proceedings of the IEEE International Conference on Multimedia and Expo, Taipei, Taiwan, E1-1
Automatic parameter selection for Eigenfaces
R Tjahyadi, W Liu, S Venkatesh
(2004), pp. 1-10, ICOTA 2004 : 6th International Conference on Optimization : Techniques and Applications, Ballarat, Vic., E1-1
Low-cost interactive active range finder
M Takatsuka, G West, S Venkatesh, T Caelli
(2003), Vol. 14, pp. 139-144, Machine vision and applications, Berlin, Germany, C1-1
Multiple camera coordination in a surveillance system
N Nguyen, S Venkatesh, G West, H Bui
(2003), Vol. 29, pp. 408-422, Zidonghua xuebao/acta automatica sinica, Beijing, China, C1-1
Resource-aware speculative prefetching in wireless networks
N Tuah, M Kumar, S Venkatesh
(2003), Vol. 9, pp. 61-72, Wireless networks, Secaucus, N.J., C1-1
Scene extraction in motion pictures
B Truong, S Venkatesh, C Dorai
(2003), Vol. 13, pp. 5-15, IEEE transactions on circuits and systems for video technology, Piscataway, N.J., C1-1
Recognising and monitoring high-level behaviours in complex spatial environments
N Nguyen, H Bui, S Venkatesh, G West
(2003), pp. 620-625, CVPR 2003 : Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Madison, Wis., E1-1
Object labelling from human action recognition
P Peursum, S Venkatesh, G West, H Bui
(2003), pp. 399-406, PerCom 2003 : Proceedings of the 1st IEEE International Conference on Pervasive Computing and Communications, Fort Worth, Tex., E1-1
Recognition of human activity through hierarchical stochastic learning
S Luhr, H Bui, S Venkatesh, G West
(2003), pp. 416-422, PerCom 2003 : Proceedings of the 1st IEEE International Conference on Pervasive Computing and Communications, Fort Worth, Tex., E1-1
Using selective memory to track concept drift effectively
M Lazarescu, S Venkatesh
(2003), pp. 14-19, IASTED 2003 : Proceedings of the IASTED International Conference on Intelligent Systems and Control, Salzburg, Austria, E1-1
Hierarchical topical segmentation in instructional films based on cinematic expressive functions
D Phung, S Venkatesh, C Dorai
(2003), pp. 287-290, MULTIMEDIA 2003 : Proceedings of the 11th ACM International Multimedia Conference and Exhibition, Berkeley, Calif., E1-1
Weaving stories in digital media : when Spielberg makes home movies
B Adams, S Venkatesh
(2003), pp. 207-210, MULTIMEDIA 2003 : Proceedings of the 11th ACM International Multimedia Conference and Exhibition, Berkeley, Calif., E1-1
Horror film genre typing and scene labeling via audio analysis
S Moncrieff, S Venkatesh, C Dorai
(2003), pp. 193-196, ICME 2003 : Proceedings of the International Conference on Multimedia and Expo, Baltimore, Md., E1-1
Identifying film takes for cinematic analysis
B Truong, S Venkatesh, C Dorai
(2003), pp. 405-408, ICME 2003 : Proceedings of the International Conference on Multimedia and Expo, Baltimore, Md., E1-1
Indexing narrative structure and semantics in motion pictures with a probabilistic framework
B Adams, C Dorai, S Venkatesh, H Bui
(2003), pp. 453-456, ICME 2003 : Proceedings of the International Conference on Multimedia and Expo, Baltimore, Md., E1-1
On the extraction of thematic and dramatic functions of content in educational videos
D Phung, S Venkatesh, C Dorai
(2003), pp. 449-452, ICME 2003 : Proceedings of the International Conference on Multimedia and Expo, Baltimore, Md., E1-1
Using camera motion to identify different types of American football plays
M Lazarescu, S Venkatesh
(2003), pp. 181-184, ICME 2003 : Proceedings of the IEEE International Conference on Multimedia and Expo, Baltimore, Md., E1-1
Bridging the semantic gap in content management systems
C Dorai, S Venkatesh
(2002), pp. 1-9, Media computing : computational media aesthetics, Dordrecht, The Netherlands, B1-1
Determining affective events through film audio
S Moncrieff, C Dorai, S Venkatesh
(2002), pp. 131-157, Media computing : computational media aesthetics, Dordrecht, The Netherlands, B1-1
B Adams, C Dorai, S Venkatesh
(2002), pp. 57-81, Media computing : computational media aesthetics, Dordrecht, The Netherlands, B1-1
An application of 'agent-oriented' techniques to symbolic matching and object recognition
M Takatsuka, T Caelli, G West, S Venkatesh
(2002), Vol. 23, pp. 419-429, Pattern recognition letters, Amsterdam, Netherlands, C1-1
Finding the beat : an analysis of the rhythmic elements of motion pictures
B Adams, C Dorai, S Venkatesh
(2002), Vol. 2, pp. 215-245, International journal of image and graphics, Singapore, Singapore, C1-1
Performance optimization problem in speculative prefetching
N Tuah, M Kumar, S Venkatesh, S Das
(2002), Vol. 13, pp. 471-484, IEEE transactions on parallel and distributed systems, Piscataway, N. J., C1-1
Policy recognition in the Abstract Hidden Markov Model
H Bui, S Venkatesh, G West
(2002), Vol. 17, pp. 451-499, Journal of artificial intelligence research, El Segundo, Calif., C1-1
Toward automatic extraction of expressive elements from motion pictures : tempo
B Adams, C Dorai, S Venkatesh
(2002), Vol. 4, pp. 472-481, IEEE transactions on multimedia, Piscataway, N. J., C1-1
A cooperative cache architecture in support of caching multimedia objects in MANETs
W Lau, M Kumar, S Venkatesh
(2002), pp. 56-63, WOWMOM 2002 : Proceedings of the 5th ACM International Workshop on Wireless Mobile Multimedia, Atlanta, Ga., E1-1
Application of computational media aesthetics methodology to extracting color semantics in film
B Truong, S Venkatesh, C Dorai
(2002), pp. 339-342, MULTIMEDIA 2002 : Proceedings of the 10th ACM International Multimedia Conference and Exhibition, Juan-les-Pins, France, E1-1
High level segmentation of instructional videos based on content density
D Phung, S Venkatesh, C Dorai
(2002), pp. 295-298, MULTIMEDIA 2002 : Proceedings of the 10th ACM International Multimedia Conference and Exhibition, Juan-les-Pins, France, E1-1
Hierarchical monitoring of people's behaviors in complex environments using multiple cameras
N Nguyen, S Venkatesh, G West, H Bui
(2002), pp. 13-16, ICPR 2002 : Proceedings of the 16th International Conference on Pattern Recognition, Quebec, Canada, E1-1
Hierarchical recognition of intentional human gestures for sports video annotation
G Chambers, S Venkatesh, G West, H Bui
(2002), pp. 1082-1085, ICPR 2002 : Proceedings of the International Conference on Pattern Recognition, Quebec, Canada, E1-1
Narrative structure analysis with education and training videos for e-learning
Q Phung, C Dorai, S Venkatesh
(2002), pp. 835-838, ICPR 2002 : Proceedings of the 16th International Conference on Pattern Recognition, Quebec, Canada, E1-1
Neighborhood coherence and edge based approaches to film scene extraction
B Truong, S Venkatesh, C Dorai
(2002), pp. 350-353, ICPR 2002 : Proceedings of the International Conference on Pattern Recognition, Quebec, Canada, E1-1
Temporal PDMs for gait classification
E Tassone, G West, S Venkatesh
(2002), pp. 1065-1068, ICPR 2002 : Proceedings of the International Conference on Pattern Recognition, Quebec, Canada, E1-1
On the automatic indexing of cricket using camera motion parameters
M Lazarescu, S Venkatesh, G West
(2002), pp. 809-812, ICME 2002 : Proceedings of the IEEE International Conference on Multimedia and Expo, Lausanne, Switzerland, E1-1
Video genre categorization using audio wavelet coefficients
P Dinh, C Dorai, S Venkatesh
(2002), pp. 69-74, ACCV 2002 : Proceedings of the 5th Asian Conference on Computer Vision, Melbourne, Vic., E1-1
W Lau, M Kumar, S Venkatesh
(2002), pp. 12-23, IWDC 2002 : Distributed computing : mobile and wireless computing : 4th international workshop proceedings, Calcutta, India, E1-1
A new vector quantisation approach via self-organising map
L Xu, W Liu, S Venkatesh
(2002), pp. 147-154, Proceedings of the third International Conference on Neural Networks and Applications, Interlaken, Switzerland, E1-1
A two stage vector quantization approach via self-organizing map
L Xu, W Liu, S Venkatesh
(2002), pp. 913-916, ICSP' 02 : 6th International Conference on Signal Processing proceedings, Beijing, China, E1-1
An application of machine learning techniques for the classification of glaucomatous progression
M Lazarescu, A Turpin, S Venkatesh
(2002), pp. 243-251, Structural, syntactic, and statistical pattern recognition : joint IAPR International Workshops SSPR 2002 and SPR 2002 proceedings, Ontario, Canada, E1-1
Classifying complex human motion using point distribution models
E Tassone, G West, S Venkatesh
(2002), pp. 138-143, ACCV 2002 : Proceedings of the 5th Asian Conference on Computer Vision, Melbourne, Vic., E1-1
Comparing shape and temporal PDMs
E Tassone, G West, S Venkatesh
(2002), pp. 195-204, Structural, syntactic, and statistical pattern recognition : joint IAPR International Workshops SSPR 2002 and SPR 2002 proceedings, Ontario, Canada, E1-1
Coordination of multiple cameras to track multiple people
N Nguyen, S Venkatesh, G West, H Bui
(2002), pp. 302-307, ACCV 2002 : Proceedings of the 5th Asian Conference on Computer Vision, Melbourne, Vic., E1-1
Film grammar based refinements to extracting scenes in motion pictures
B Truong, S Venkatesh, C Dorai
(2002), pp. 281-284, ICME 2002 : Proceedings of the IEEE International Conference on Multimedia and Expo, Lausanne, Switzerland, E1-1
Finding the beat : an analysis of the rhythmic elements of motion pictures
B Adams, C Dorai, S Venkatesh
(2002), pp. 62-68, ACCV 2002 : Proceedings of the fifth Asian conference on computer vision, Melbourne, Vic., E1-1
Combining multiple tracking algorithms for improved general performance
K Shearer, K Wong, S Venkatesh
(2001), Vol. 34, pp. 1257-1269, Pattern recognition, Oxford, England, C1-1
Obtaining functional parametric models using active vision strategies
C Lam, G West, S Venkatesh
(2001), Vol. 34, pp. 79-94, Pattern recognition, Oxford, England, C1-1
Tracking and surveillance in wide-area spatial environments using the abstract hidden markov model.
H Bui, S Venkatesh, G West
(2001), Vol. 15, pp. 177-196, International journal of pattern recognition and artificial intelligence, Singapore, C1-1
Video indexing and similarity retrieval by largest common subgraph detection using decision trees
K Shearer, H Bunke, S Venkatesh
(2001), Vol. 34, pp. 1075-1091, Pattern recognition, London, England, C1-1
Video sequence matching via decision tree path following
K Shearer, S Venkatesh, H Bunke
(2001), Vol. 22, pp. 479-492, Pattern recognition letters, Amsterdam, Netherlands, C1-1
W Lau, M Kumar, S Venkatesh
(2001), pp. 1-10, HICSS-34 2001 : Proceedings of the Hawaii International Conference on System Sciences, Maui, Hawaii, E1-1
Affect computing in film through sound energy dynamics
S Moncrieff, C Dorai, S Venkatesh
(2001), pp. 525-527, MULTIMEDIA 2001 : Proceedings of the ACM International Multimedia Conference and Exhibition, Ottawa, Ont., E1-1
Tracking concept drift robustly
M Lazarescu, S Venkatesh, H Bui
(2001), pp. 38-43, AI 2001 : Proceedings of the IASTED International Symposia, Applied Informatics : artificial intelligence and applications, advances incomputer applications : February 19-22, 2001, Innsbruck, Austria, Innsbruck, Austria, E1-1
A cache-based mobility-aware scheme for real-time continuous media delivery in wireless networks
W Lau, M Kumar, S Venkatesh
(2001), pp. 1236-1239, ICME 2001 : Proceedings of the IEEE International Conference on Multimedia and Expo, Tokyo, Japan, E1-1
An application of concept drift tracking to average frame interpretation
M Lazarescu, S Venkatesh, H Bui
(2001), Proceedings of the IASTED International Symposia, Applied Informatics : artificial intelligence & applications, advances in computer applications, Innsbruck, Austria, E1-1
Analysis of environmental sounds as indexical signs in film
S Moncrieff, C Dorai, S Venkatesh
(2001), pp. 538-545, Advances in multimedia information processing - PCM 2001 : second IEEE Pacific Rim Conference on Multimedia proceedings, Beijing, China, E1-1
Automated film rhythm extraction for scene analysis
B Adams, C Dorai, S Venkatesh
(2001), pp. 1056-1059, ICME 2001 : Proceedings of the IEEE International Conference on Multimedia and Expo, Tokyo, Japan, E1-1
Bridging the semantic gap in content management : computational media aesthetics
C Dorai, S Venkatesh
(2001), pp. 94-99, COSIGN 01 : Proceedings of 1st Conference on Computational Semiotics for Games and New Media, Amsterdam, Netherlands, E1-1
Detecting indexical signs in film audio for scene interpretation
S Moncrieff, C Dorai, S Venkatesh
(2001), pp. 1192-1195, ICME 2001 : Proceedings of the IEEE International Conference on Multimedia and Expo, Tokyo, Japan, E1-1
Determining dramatic intensification via flashing lights in movies
B Truong, S Venkatesh
(2001), pp. 61-64, ICME 2001 : Proceedings of the IEEE International Conference on Multimedia and Expo, Tokyo, Japan, E1-1
Effect of speculative prefetching on network load in distributed systems
N Tuah, M Kumar, S Venkatesh
(2001), IPDPS 2001 : 15th International Parallel and Distributed Processing Symposium : Proceedings, San Francisco, Calif., E1-1
Rapid similarity retrieval from image and video
K Shearer, S Venkatesh, H Bunke
(2000), pp. 437-464, Multimedia image and video processing, Boca Raton, Fla., B1-1
How honeybees make grazing landings on flat surfaces
M Srinivasan, S Zhang, J Chahl, E Barth, S Venkatesh
(2000), Vol. 83, pp. 171-183, Biological cybernetics, Berlin, Germany, C1-1
M Lazarescu, S Venkatesh, G West
(2000), Vol. 13, pp. 315-320, Spatial vision, Leiden, Netherlands, C1-1
Semantic data modelling and visualization using Noetica
S Greenhill, S Venkatesh
(2000), Vol. 33, pp. 241-276, Data and knowledge engineering, Amsterdam, The Netherlands, C1-1
Improved fade and dissolve detection for reliable video segmentation
B Truong, C Dorai, S Venkatesh
(2000), pp. 961-964, ICIP 2000 : Proceedings of the IEEE International Conference on Image Processing, Vancouver, B. C., E1-1
Novel approach to determining tempo and dramatic story sections in motion pictures
B Adams, C Dorai, S Venkatesh
(2000), pp. 283-286, ICIP 2000 : Proceedings of the IEEE International Conference on Image Processing, Vancouver, B. C., E1-1
Performance modelling of speculative prefetching for compound requests in low bandwidth networks
N Tuah, M Kumar, S Venkatesh
(2000), pp. 83-92, WOWMOM 2000 : Proceedings of the 3rd ACM International Workshop on Wireless Mobile Multimedia, Boston, Mass., E1-1
Bayesian networks and decision trees in the diagnosis of female urinary incontinence
M Hunt, B von Konsky, S Venkatesh, P Petros
(2000), pp. 551-554, Proceedings of the 22nd Annual EMBS International Conference, Chicago, Ill., E1-1
Towards automatic extraction of expressive elements from motion pictures : tempo
B Adams, C Dorai, S Venkatesh
(2000), pp. 641-644, ICME 2000 : Proceedings of the IEEE International Conference on Multi-Media and Expo, New York, N. Y., E1-1
New enhancements to cut, fade, and dissolve detection processes in video segmentation
B Truong, C Dorai, S Venkatesh
(2000), pp. 219-227, MULTIMEDIA 2000 : Proceedings of the ACM International Multimedia Conference and Exhibition, Los Angeles, Calif., E1-1
Study of shot length and motion as contributing factors to movie tempo
B Adams, C Dorai, S Venkatesh
(2000), pp. 353-355, MULTIMEDIA 2000 : Proceedings of the ACM International Multimedia Conference and Exhibition, Los Angeles, Calif., E1-1
A probabilistic framework for tracking in wide-area environments
H Bui, S Venkatesh, G West
(2000), pp. 702-705, ICPR 2000 : Proceedings of the International Conference on Pattern Recognition, Barcelona, Spain, E1-1
Automatic genre identification for content-based video categorization
B Truong, S Venkatesh, C Dorai
(2000), pp. 230-233, ICPR 2000 : Proceedings of the International Conference on Pattern Recognition, Barcelona, Spain, E1-1
M Mugurel, S Venkatesh, G West
(2000), pp. 652-655, ICPR 2000 : Proceedings of the International Conference on Pattern Recognition, Barcelona, Spain, E1-1
Incorporating domain knowledge with video and voice data analysis in news broadcasts
K Shearer, C Dorai, S Venkatesh
(2000), pp. 46-53, MDM/KDD 2000 : Proceedings of the 1st Workshop on Multimedia Data Mining, Boston, Mass., E1-1
On the recognition of abstract Markov policies
H Bui, S Venkatesh, G West
(2000), pp. 524-530, AAAI-2000 : Proceedings of the 17th National Conference on Artificial Intelligence, Austin, Tex., E1-1
On the recognition of American football formations from images
M Lazarescu, S Venkatesh
(2000), pp. 261-264, The first IEEE Pacific-Rim Conference on Multimedia : 2000 International Symposium on Multimedia Information Processing : conference proceedings, Sydney, N.S.W., E1-1
Role of shot length in characterizing tempo and dramatic story sections in motion pictures
B Adams, C Dorai, S Venkatesh
(2000), pp. 54-57, The first IEEE Pacific-Rim Conference on Multimedia : 2000 International Symposium on Multimedia Information Processing : conference proceedings, Sydney, N. S. W., E1-1
Determining motion components using the point distribution model
E Tassone, G West, S Venkatesh
(2000), pp. 363-370, Advances in multimodal interfaces - ICMI 2000 : 3rd International Conference on Multimodal Interfaces proceedings, Beijing, China, E1-1
Evolution in polyphonic musical sequences
C Illiopoulos, M Kumar, L Mouchard, S Venkatesh
(2000), pp. 53-66, AWOCA 2000 : Proceedings of the 11th Australasian workshop on combinatorial algorithms, Hunter Valley, N. S. W., E1-1
Graph matching : fast candidate elimination using machine learning techniques
M Lazarescu, H Bunke, S Venkatesh
(2000), pp. 236-245, Advances in Pattern Recognition : Joint IAPR International Workshops SSPR 2000 and SPR 2000, Alicante, Spain, August 30 – September 1, 2000 proceedings, Alicante, Spain, E1-1
Constructing and navigating personalised views of the Web
S Greenhill, S Venkatesh
(1999), Vol. 35, pp. 679-689, Information processing and management, Oxford, U. K., C1-1
Information access and QoS issues in a mobile computing environment
M Kumar, S Venkatesh, K Lim, H Santoso
(1999), Vol. 22, pp. 91-118, Journal of network and computer applications, London, England, C1-1
Insect-inspired robotic homing
K Weber, S Venkatesh, M Srinivasan
(1999), Vol. 7, pp. 65-97, Adaptive behavior, London, England, C1-1
Layered dynamic probabilistic networks for spatio-temporal modelling
H Bui, S Venkatesh, G West
(1999), Vol. 3, pp. 339-361, Intelligent data analysis, Amsterdam, The Netherlands, C1-1
Learning other agents' preferences in multi-agent negotiation using the bayesian classifier
H Bui, S Venkatesh, D Kieronska
(1999), Vol. 8, pp. 275-293, International journal of cooperative information systems, Singapore, C1-1
Robot navigation inspired by principles of insect vision
M Srinivasan, J Chahl, K Weber, S Venkatesh, M Nagle, S Zhang
(1999), Vol. 26, pp. 203-216, Robotics and autonomous systems, Amsterdam, Netherlands, C1-1
An empirical study of neighbourhood decay in Kohonen's self organizing map
R Keith-Magee, S Venkatesh, M Takatsuka
(1999), pp. 1953-1958, IJCNN 1999 : Proceedings of the International Joint Conference on Neural Networks, Washington, D. C., E1-1
A performance model of speculative prefetching in distributed information systems
N Tuah, M Kumar, S Venkatesh
(1999), pp. 75-80, IPPS/SPDP 1999 : Proceedings of the 13th International Parallel Processing Symposium and 10th Symposium on Parallel and Distributed Processing, San Juan, Puerto Rico, E1-1
Low-cost interactive active monocular range finder
M Takatsuka, G West, S Venkatesh, T Caelli
(1999), pp. 444-449, CVPR 1999 : Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Fort Collins, Colo., E1-1
Detection of setting and subject information in documentary video
K Shearer, S Venkatesh
(1999), pp. 797-801, ICMCS 1999 : Proceedings of the 6th International Conference on Multimedia Computing and Systems, Florence, Italy, E1-1
On the automated interpretation and indexing of American football
M Lazarescu, S Venkatesh, G West, T Caelli
(1999), pp. 802-806, ICMCS 1999 : Proceedings of the 6th International Conference on Multimedia Computing and Systems, Florence, Italy, E1-1
Graph sequence matching by decision tree navigation
K Shearer, H Bunke, S Venkatesh
(1999), GbR'99 : Proceedings of the 2nd IAPR-TC-15 Workshop on Graph-based Representations in Pattern Recognition, Haindorf, Austria, E1-1
Incremental learning with forgetting
M Lazarescu, S Venkatesh, G West
(1999), ICML 99 : proceedings of the International Conference on Machine Learning Workshop on Machine Learning in Computer Vision, Bled, 30 June 1999, Bled, Slovenia, E1-1
Obtaining function models using active vision strategies
C Lam, G West, S Venkatesh
(1999), pp. 344-351, Proceedings of the 12th Conference on Vision Interface, Trois-Rivieres, Canada, E1-1
Probabilistic querying at multiple levels of abstraction in large spatial domains
H Bui, S Venkatesh, G West
(1999), pp. 285-290, DICTA 1999 : Fifth International/National Biennial Conference on Digital Image Computing, Techniques and Applications, 7-8 December, 1999, Perth, Australia, Perth, W.A., E1-1
M Takatsuka, T Caelli, G West, S Venkatesh
(1999), GREC'99 : Third International Workshop on Graphics Recognition, Jaipur, India, E1-1
Symbolic representation and distributed matching strategies for schematics
M Takatsuka, T Caelli, G West, S Venkatesh
(1999), pp. 693-696, ICDAR 1999 : Proceedings of the 5th International Conference on Document Analysis and Recognition, Bangalore, India, E1-1
The importance of neighbourhood size in self organising systems
R Keith-Magee, S Venkatesh, M Takatsuka
(1999), pp. 267-272, ICONIP'99 : Proceedings of the 6th International Conference on Neural Information Processing, Perth, W. A., E1-1
Adaptive mpeg filtering for mobile computing environment
H Santoso, M Kumar, S Venkatesh
(1999), pp. 182-488, ASV 1998 : Proceedings of the Fifth Asian Symposium on Visualisation, Serpong, Indonesia, Serpong, Indonesia, E1-1
Applications of machine learning to dynamic scene analysis
M Lazarescu, S Venkatesh, G West, T Caelli
(1999), pp. 57-62, DICTA '99 : 5th International/National Biennial Conference on Digital Image Computing, Techniques and Applications, Perth, W. A., E1-1
Automatic isolation of speech in news footage for audio event detection
K Shearer, S Venkatesh, C Dorai
(1999), pp. 78-83, DICTA '99 : 5th International/National Biennial Conference on Digital Image Computing, Techniques and Applications, Perth, W. A., E1-1
Beyond the topological map : developing alternate mappings in self organisation
R Keith-Magee, S Venkatesh, M Takatsuka
(1999), pp. 88-93, DICTA '99 : 5th International/National Biennial Conference on Digital Image Computing, Techniques and Applications, Perth, W. A., E1-1
Change detection in dynamic communication networks
S Campbell, S Venkatesh, M Kumar, M Kraetzel, P Shoubridge
(1999), pp. 94-98, DICTA '99 : 5th International/National Biennial Conference on Digital Image Computing, Techniques and Applications, Perth, W. A., E1-1
Classifying and learning cricket shots using camera motion
M Lazarescu, S Venkatesh, G West
(1999), pp. 13-23, Advanced topics in artificial intelligence : 12th Australian Joint Conference on Artificial Intelligence, AI'99, Sydney, Australia, December 6-10, 1999 : proceedings, Sydney, N. S. W., E1-1
Determining object function based on its motion
F Lim, C Lam, S Venkatesh
(1999), pp. 54-59, Computational intelligence for modelling, control & automation, Vienna, Austria, E1-1
Efficient graph matching for video indexing
K Shearer, H Bunke, S Venkatesh, D Kieronska
(1998), pp. 53-62, Graph based representations in pattern recognition, Berlin, Germany, B1-1
Robot navigation inspired by principles of insect vision
M Srinivasan, J Chahl, K Weber, S Venkatesh, M Nagle, S Zhang
(1998), pp. 12-16, Field and service robotics, Berlin, Germany, B1-1
Extracting common subtrees from decision trees
M Lazarescu, T Caelli, S Venkatesh
(1998), Vol. 12, pp. 867-879, International journal of pattern recognition and artificial intelligence, Toh Tuck Link, Singapore, C1-1
Noetica : a tool for semantic data modelling
S Greenhill, S Venkatesh
(1998), Vol. 34, pp. 739-760, Information processing & management, Oxford, England, C1-1
Stabilising the camera-to-fixation point distance in active vision
C Lam, G West, S Venkatesh
(1998), Vol. 31, pp. 1431-1442, Pattern recognition, New York, N.Y., C1-1
Information retrieval in documents using semantic criteria
B Mills, S Venkatesh, M Kumar, L Narasimhan
(1998), pp. 47-53, Proceedings of ADCS '98 : Third Australian Document Computing Symposium, Sydney, N. S. W., E1-1
Investigation of a prefetch model for low bandwidth networks
N Tuah, M Kumar, S Venkatesh
(1998), pp. 38-47, WOWMOM 1998 : Proceedings of the First ACM/IEEE International Conference on Wireless and Mobile Multimedia, Dallas, Tex., E1-1
K Shearer, S Venkatesh
(1998), pp. 266-271, International Conference on Optimisation and Applications, Perth, W.A., E1-1
Retrieval of images using similarity based queries
H Raman, S Venkatesh, C Lam
(1998), ICVGIP 1998 : Computer vision, graphics and image processing : recent advances : proceedings of the Indian Conference on Computer Vision, Graphics and Image Processing, New Delhi, India, E1-1
Using natural language and video data to learn American football plays
M Lazarescu, S Venkatesh, G West
(1998), pp. 63-72, ICAPR 198 : proceedings of International Conference on Advances in Pattern Recognition '98, 23-25. Noember, Plymouth, U.K., Plymouth, U.K., E1-1
An efficient least common subgraph algorithm for video indexing
K Shearer, S Venkatesh, H Bunke
(1998), pp. 1241-1243, ICPR 1998 : Proceedings of the 14th International Conference on Pattern Recognition, Brisbane, Qld., E1-1
An image processing approach to monitor crystal growth
F Lim, S Venkatesh, G West, S Freii, A Rohl, M Rejhani, G Paterson
(1998), pp. 1013-1017, International Conference on Robotics and Computer Vision, Singapore, E1-1
An insect-based approach to robotic homing
K Weber, S Venkatesh, M Srinivasan
(1998), pp. 297-299, ICPR 1998 : Proceedings of the 14th International Conference on Pattern Recognition, Brisbane, Qld., E1-1
Classifying and detecting group behaviour from visual surveillance data
R Hosie, S Venkatesh, G West
(1998), pp. 602-604, ICPR 1998 : Proceedings of the 14th International Conference on Pattern Recognition, Brisbane, Qld., E1-1
Combining NL processing and video data to query American football
M Lazarescu, S Venkatesh, G West, T Caelli
(1998), pp. 1238-1240, ICPR 1998 : Proceedings of the 14th International Conference on Pattern Recognition, Brisbane, Qld., E1-1
Insect inspired behaviours for the autonomous control of mobile robots
K Weber, S Venkatesh, M Srinivasan
(1997), pp. 226-248, From living eyes to seeing machines, Oxford, U.K., B1-1
Conceptual representation for multimedia information
R Smith, D Kieronska, S Venkatesh
(1997), pp. 303-327, Spatial computing : issues in vision, multimedia and visualization technologies, Singapore, B1-1
The visitors guide : a simple video reuse application
K Shearer, S Venkatesh, D Kieronska
(1997), pp. 275-302, Spatial computing : issues in vision, multimedia and visualization technologies, Singapore, B1-1
Conceptual representation for multimedia information
R Smith, D Kieronska, S Venkatesh
(1997), Vol. 11, pp. 303-327, International journal of pattern recognition and artificial intelligence, Toh Tuck Link, Singapore, C1-1
Hypothesis verification using parametric models and active vision strategies
C Lam, S Venkatesh, G West
(1997), Vol. 68, pp. 209-236, Computer vision and image understanding, Maryland Heights, Mo., C1-1
Overview of a knowledge modelling tool : Noetica
S Smith, S Venkatesh, D Kieronska
(1997), Vol. 4, pp. 12-21, Australian journal of intelligent information processing systems, Canberra, A. C. T., C1-1
Qualitative estimation of camera motion parameters from video sequences
M Srinivasan, S Venkatesh, R Hosie
(1997), Vol. 30, pp. 593-606, Pattern recognition, London, England, C1-1
Resequencing of video using spatial indexing
K Shearer, D Kieronska, S Venkatesh
(1997), Vol. 8, pp. 193-214, Journal of visual languages and computing, London, England, C1-1
Resolution consideration in spatially variant sensors
F Lim, S Venkatesh, G West
(1997), Vol. 15, pp. 901-912, Image and vision computing, Amsterdam, Netherlands, C1-1
The visitors guide a simple video reuse application
K Shearer, S Venkatesh, D Kieronska
(1997), Vol. 11, pp. 275-301, International journal of pattern recognition and artificial intelligence, Singapore, C1-1
Use of log polar space for foveation and feature recognition
F Lim, G West, S Venkatesh
(1997), Vol. 144, pp. 323-331, IEE proceedings : vision, image and signal processing, London, England, C1-1
Learning image attributes for tracking complex objects
C Chisholm, G West, S Venkatesh
(1997), pp. 385-390, DICTA'97 and IVCNZ'97 : Theme, New Dimensions in Imaging : Proceedings of the First Joint Australian and New Zealand biennial Conference on Digital Image and Vision Computing, Techniques and Applications, Auckland, N. Z., E1-1
Optimal communication amongst team members
H Bui, D Kieronska, S Venkatesh
(1997), pp. 116-126, AI'97 : Proceedings of the 10th Australian Joint Conference on Artificial Intelligence : Advanced Topics in Artificial Intelligence, Perth, W. A., E1-1
Performance analysis of information access in mobile computing environments
M Kumar, S Venkatesh
(1997), IPPS 1997 : 11th International Parallel Processing Symposium, Geneva, Switzerland, E1-1
Qos filtering for video in wireless networks
H Santoso, M Kumar, S Venkatesh
(1997), MMT 1997 : Multiaccess, mobility and teletraffic for wireless communications, Melbourne, Australia, E1-1
A framework for co-ordination and learning among teams of agents
H Bui, S Venkatesh, D Kieronska
(1997), pp. 164-178, Agents and multi-agent systems : formalisms, methodologies, and applications : based on the AI'97 Workshops on Commonsense Reasoning, Intelligent Agents, and Distributed Artificial Intelligence, Perth, W. A., E1-1
A novel scheme for maintaining QOS in mobile environments
H Santoso, M Kumar, S Venkatesh
(1997), MICC 1997 : Proceedings of the IEEE Malaysia International Conference on Communication '97, Kuala Lumpur, Malaysia, E1-1
Composite tracking systems from complementary algorithms
K Shearer, K Wong, S Venkatesh
(1997), pp. 391-397, DICTA'97 and IVCNZ'97 : Theme, New Dimensions in Imaging : Proceedings of the first Joint Australia and New Zealand Biennial Conference on Digital Image and Vision Computing, Techniques and Applications, Auckland, N. Z., E1-1
Spatial indexing for video databases
K Shearer, S Venkatesh, D Kieronska
(1996), Vol. 7, pp. 325-335, Journal of visual communication and image representation, Maryland Heights, Mo., C1-1
Media-independent knowledge representation via UMART : unified mental annotation and retrieval tool
R Smith, D Kieronska, S Venkatesh
(1996), pp. 96-107, SPIE 1996 : Proceedings of SPIE - the International Society for Optical Engineering, San Jose, Calif., E1-1
Parallel matrix inversion techniques
K Lau, M Kumar, S Venkatesh
(1996), pp. 515-521, ICAPP 1996 : IEEE International Conference on Algorithms and Architectures for Parallel Processing, Singapore, Singapore, E1-1
A distributed directory scheme for information access in mobile computers
M Kumar, S Venkatesh, S Panchanathan
(1996), pp. 138-143, HiPC 1996 : Proceedings of the 3rd International Conference on High Performance Computing, Trivandrum, India, E1-1
Human saccadic eye movements and tracking by active foveation in log polar space
F Lim, S Venkatesh, G West
(1996), pp. 338-349, SPIE 1996 : Proceedings of SPIE - the International Society for Optical Engineering, San Jose, Calif., E1-1
Adaptive depletion for improvement of MPEG video compression
D Tan, S Venkatesh, G West
(1996), pp. 154-168, SPIE 1996 : Proceedings of SPIE - the International Society for Optical Engineering, San Jose, Calif., E1-1
Learning other agents' preferences in multiagent negotiation
H Bui, D Kieronska, S Venkatesh
(1996), pp. 114-119, AAAI-96 : Proceedings of the 13th National Conference on Artificial Intelligence, Portland, Or., E1-1
Insect inspired behaviours for the autonomous control of mobile robots
K Weber, S Venkatesh, M Srinivasan
(1996), pp. 156-160, ICPR 1996 : Proceedings of the 13th international Conference on Pattern Recognition, Vienna, Austria, E1-1
Media-independent information representation and retrieval
D Kieronska, S Venkatesh
(1996), pp. 415-425, SPIE 1996 : Proceedings of SPIE - the International Society for Optical Engineering, San Jose, Calif., E1-1
Landmark based corridor discrimination
K Weber, S Venkatesh, M Srinivasan
(1996), pp. 272-276, ICARCV 1996 : Fourth International Conference on Automation, Robotics and Computer Vision, Westin Stamford, Singapore, E1-1
Learning motion from optic flow
C Lam, S Venkatesh, T Caelli
(1996), pp. 655-659, ICARCV 1996 : fourth International Conference on Control, Automation, Robotics and Vision : proceedings 4-6 December 1996, Westin Stamford, Singapore, Singapore, E1-1
Media independent knowledge indexing and retrieval
D Kieronska, S Venkatesh
(1996), pp. 192-196, The learning superhighway, new world? New worries? : proceedings of the 3rd International Interactive Multimedia Symposium, Perth, Western Australia, January 21-25, 1996, Perth, W.A., E1-1
Negotiating agents that learn about others' preferences
H Bui, D Kieronska, S Venkatesh
(1996), pp. 16-21, Adaptation, coevolution and learning in multiagent systems : papers from the 1996 AAAI Symposium, Stanford, Calif., E1-1
Power saving schemes for mobile computing environments
M Kumar, S Venkatesh
(1996), pp. 296-302, ADCOMP’96 : Proceedings of the Fourth International Conference on Advanced Computing, Bangalore, India, E1-1
Resolution considerations in spatially variant sensors
F Lim, S Venkatesh, G West
(1996), pp. 795-799, ICPR 1996 : Proceedings of the 13th international Conference on Pattern Recognition, Vienna, Austria, E1-1
SEE++ : an object-oriented class library for task-specific vision
T Drummond, T Caelli, S Venkatesh
(1996), pp. 640-644, ICARCV 1996 : fourth International Conference on Control, Automation, Robotics and Vision : proceedings 4-6 December 1996, Westin Stamford, Singapore, Singapore, E1-1
Tracking in a space variant active vision system
F Lim, G West, S Venkatesh
(1996), pp. 745-749, ICPR 1996 : Proceedings of the 13th international Conference on Pattern Recognition, Vienna, Austria, E1-1
Analysing the correction of the camera-to-fixation point distance in active vision
P Lam, S Venkatesh, G West
(1996), ISSPA 96 : Fourth International Symposium on Signal Processing and its Applications : proceedings, August 25-30 1996, Royal Pines Resort, Gold Coast, Queensland, Australia, Gold Coast, Qld., E1-1
Detecting deviations from known paths and speeds in a surveillance situation
R Hosie, S Venkatesh, G West
(1996), ICARCV 1996 : fourth International Conference on Control, Automation, Robotics and Vision : proceedings 4-6 December 1996, Westin Stamford, Singapore, Singapore, E1-1
Low level vision in insects, its application to robot navigation
M Srinivasan, J Chahl, M Nagle, K Weber, S Venkatesh
(1995), pp. 312-325, Computational intelligence : a dynamic system perspective, Piscataway, N.J,, B1-1
M Robey, G West, S Venkatesh
(1995), Vol. 61, pp. 417-429, Computer vision and image understanding, Maryland Heights, Mo., C1-1
Constructing hierarchical abstraction for qualitative representations of space and time
H Bui, S Venkatesh, D Kieronska
(1995), Vol. 2, pp. 36-46, Australian journal of intelligent information processing systems, Canberra, A. C. T., C1-1
Detection of curved edges at subpixel accuracy using deformable models
M Kisworo, S Venkatesh, G West
(1995), Vol. 142, pp. 304-312, IEE proceedings : vision, image and signal processing, Stevenage, U.K., C1-1
Dynamic threshold determination by local and global edge evaluation
S Venkatesh, P Rosin
(1995), Vol. 57, pp. 146-160, Graphical models and image processing, Maryland Heights, Mo., C1-1
Hierarchical directory-based shared memory architecture
M Kumar, S Venkatesh, D Kieronska, L Patnaik
(1995), Vol. 38, pp. 207-216, Computer journal, London, England, C1-1
S Venkatesh, J Cooper, B White
(1995), Vol. 28, pp. 1127-1134, Pattern recognition, Oxford, U. K., C1-1
Spatial reasoning via active observation
S Venkatesh, D Kieronska, S Smith
(1995), Vol. 9, pp. 495-524, Applied artificial intelligence, Philadelphia, Pa., C1-1
Two-dimensional string notation for representing video sequences
K Shearer, D Kieronska, S Venkatesh
(1995), pp. 389-400, SPIE 1995 : Proceedings of SPIE - the International Society for Optical Engineering, Philadelphia, Pa., E1-1
D Kieronska, S Venkatesh
(1995), pp. 31-37, Indexers - partners in publishing : proceedings from the first international conference of the Australian Society of Indexers, Marysville, Victoria, E1-1
A point-based representation for intervals
A Travers, S Venkatesh, D Kieronska
(1995), pp. 169-174, ANZIIS-95 : Proceedings of the 3rd Australian and New Zealand Conference on Intelligent Information Systems, Perth, W. A., E1-1
Towards detecting patterns of human behaviour from image sequences
R Hosie, S Venkatesh, G West
(1995), pp. 109-121, AI'95 : Proceedings of the Artificial Intelligence in Defence Workshop : 8th Australian Joint Conference on Artificial Intelligence, Canberra, A. C. T., E1-1
Video indexing by spatial representation
R Liang, S Venkatesh, D Kieronska
(1995), pp. 99-104, ANZIIS-95 : Proceedings of the 3rd Australian and New Zealand Conference on Intelligent Information Systems, Perth, W. A., E1-1
A multi-agent incremental negotiation scheme for meetings scheduling
H Bui, S Venkatesh, D Kieronska
(1995), pp. 175-180, ANZIIS-95 : Proceedings of the 3rd Australian and New Zealand Conference on Intelligent Information Systems, Perth, W. A., E1-1
A new algorithm for similarity retrieval in pictorial databases
K Shearer, D Kieronska, S Venkatesh
(1995), ADL'95 : A Forum on Research and Technology Advances in Digital Libraries, McLean, Va., E1-1
T Ly, S Venkatesh, D Kieronska
(1995), Proceedings of the IASTED International Conference, Modelling and Simulation : Pittsburgh, Pennsylvania, April 27-29, 1995, Pittsburgh, Pa., E1-1
Centering behavior for mobile robots using insect based cues
J Chahl, K Weber, M Srinivasan, S Venkatesh
(1995), pp. 224-228, ACCV '95 : proceedings, second Asian Conference on Computer vision : 5-8 December 1995, Singapore, E1-1
Correcting camera-to-foveation point distance using active vision strategies
C Lam, G West, S Venkatesh
(1995), pp. 136-140, Proceedings of the 2nd Asian Conference on Computer Vision 1995, Singapore, Singapore, E1-1
Feature detection and recognition in active vision utilizing foveation in log polar space
F Lim, G West, S Venkatesh
(1995), pp. 375-379, ACCV '95 : proceedings, second Asian Conference on Computer vision : 5-8 December 1995, Singapore, E1-1
Geometric hashing on SIMD architectures
M Leishman, S Venkatesh, G West
(1995), pp. 279-288, PART 95 : Proceedings of the Australasian Conference on Parallel and Real-Time Systems : 28-29 September 1995, Freemantle, Western Australia, Perth, W.A., E1-1
Hierarchical representation for spatial knowledge
D Kieronska, S Venkatesh
(1994), pp. 314-329, Computer aided systems theory - EUROCAST '93 : a selection of papers from the third International Workshop on Computer Aided Systems Theory, Las Palmas, Spain, February 22-26, 1993 : proceedings, Berlin, Germany, B1-1
A unified formalism for landmark based representation of maps and navigation plans
S Venkatesh, D Kieronska
(1994), pp. 123-132, Fuzzy logic and fuzzy control : IJCAI '91 workshops on fuzzy logic and fuzzy control, Sydney, Australia, August 24, 1991 : proceedings, Berlin, Germany, B1-1
Modeling edges at subpixel accuracy using the local energy approach
M Kisworo, S Venkatesh, G West
(1994), Vol. 16, pp. 405-410, IEEE transactions on pattern analysis and machine intelligence, Piscataway, N. J., C1-1
Emerging hypothesis verification using function-based geometric models and active vision strategies
C Lam, G West, S Venkatesh
(1994), pp. 818-822, CVPR'94 : Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Seattle, Wash., E1-1
M Robey, G West, S Venkatesh
(1994), pp. 282-290, Proceedings of the 2nd CAD-Based Vision Workshop, Champion, Pa., E1-1
D Kieronska, S Venkatesh
(1994), pp. 230-239, Workshop on spatial and temporal Interaction : representation and reasoning, Singapore, E1-1
Insect based navigation and its applications to the autonomous control of mobile robots
K Weber, S Venkatesh, D Kieronska
(1994), pp. 1228-1232, ICARCV 1994 : Third International Conference on Automation, Robotics and Computer Vision, Shangri-La, Singapore, E1-1
Simd implementation of region based quad trees
D Kieronska, S Venkatesh, C Farrell
(1994), pp. 205-211, Proceedings of the Australasian Workshop on Parallel and Real-Time Systems, Melbourne, Vic., E1-1
Topology + order = spatial relation
T Travers, S Venkatesh, D Kieronska
(1994), pp. 161-166, AAAI 1994 : Twelfth National Conference on Artificial Intelligence : Workshop on Spatial and Temporal Reasoning, Seattle, WA, USA, E1-1
A formal representation for qualitative spatial knowledge
H Bui, S Venkatesh, D Kieronska
(1994), pp. 846-851, ICARCV '94, proceedings : the 3rd International Conference on Automation, Robotics and Computer Vision, Shangri-La, Singapore, E1-1
Distributed quad tree processing of vector data
S Venkatesh, D Kieronska
(1994), pp. 26-31, IWPP 1994 : proceedings of the First International Workshop on Parallel Processing : December 26-31, 1994, Bangalore, India, Bangalore, India, E1-1
Early jump-out corner detectors
J Cooper, S Venkatesh, L Kitchen
(1993), Vol. 15, pp. 823-828, IEEE transactions on pattern analysis and machine intelligence, Piscataway, N. J., C1-1
Extracting natural scales using Fourier descriptors
P Rosin, S Venkatesh
(1993), Vol. 26, pp. 1383-1393, Pattern recognition, Oxford, U. K., C1-1
Implementing geometric hashing on the dec mpp 12000
M Leishman, S Venkatesh, G West
(1993), pp. 260-265, DICTA 93: digital image computing : techniques and applications : conference proceedings : Sydney 8-10 December 1993 ; venue : Macquarie University, Sydney, N.S.W., E1-1
Maps for mobile agents : representing spatial knowledge
S Venkatesh, D Kieronska
(1993), pp. 325-330, Proceedings : International Symposium on Artificial Intelligence, The Artificial Intelligence Technology Transfer Conference, September 20-24, 1993, Intelligent systems in industry and business, Monterrey, Mexico, E1-1
Planning with spatial primitives
S Venkatesh, D Kieronska
(1993), pp. 718-722, ANZIIS 93 : Australian and New Zealand Conference on Intelligent Information Systems, 1993 : Perth, Western Australia, December 1-3, 1993, Perth, W.A., E1-1
M Robey, S Venkatesh, G West
(1993), pp. 517-524, DICTA 93: digital image computing : techniques and applications : conference proceedings : Sydney 8-10 December 1993 ; venue : Macquarie University, Sydney, N.S.W., E1-1
Shape recognition in active vision using log polar transformation
F Lim, G West, S Venkatesh
(1993), pp. 366-373, DICTA 1993 : Proceedings of the 2nd Conference on Digital Image Computing, Techniques and Applications, Sydney, N. S. W., E1-1
Active verification of emerging hypotheses using function based geometric models
P Lam, S Venkatesh, G West
(1993), pp. 47-54, DICTA 1993 : Proceedings of the 2nd Conference on Digital Image Computing, Techniques and Applications, Sydney, N. S. W., E1-1
Agents in adversarial domains - modelling environments in parallel
T Ly, S Venkatesh, D Kieronska
(1993), pp. 81-89, AIS'93 : Proceedings of the 4th Annual conference on AI, Simulation and Planning in High Autonomy Systems : Integrating Virtual Reality and Model-Based Environments, Tuscon, Ariz., E1-1
Deriving ambiguous spatial relations
A Travers, D Kieronska, S Venkatesh
(1993), pp. 47-53, AIS 1993 : AI, simulation and planning in high automony systems : proceedings, Fourth Annual Conference, Tuscon, Ariz., E1-1
Dynamic threshold determination by local and global edge evaluation
S Venkatesh, P Rosin
(1993), pp. 40-50, SPIE 1993 : Proceedings of SPIE - the International Society for Optical Engineering : Machine Vision and Robotics, Orlando, Fla., E1-1
Function directed geometric model-based active visual strategies
P Lam, S Venkatesh, G West
(1993), pp. 732-736, ANZIIS 93 : Australian and New Zealand Conference on Intelligent Information Systems, 1993 : Perth, Western Australia, December 1-3, 1993, Perth, W.A., E1-1
Edge evaluation using necessary components
S Venkatesh, L Kitchen
(1992), Vol. 54, pp. 23-30, CVGIP : graphical models and image processing, Maryland Heights, Mo., C1-1
Local energy, the pre-envelope, and filter resolution
S Venkatesh, J Cooper, B White
(1992), pp. 13-17, Proceedings of the 11th IAPR International Conference on Pattern Recognition : Image, Speech and Signal Analysis, The Hague, The Netherlands, E1-1
Occlusion based motion segmentation
M Corbett, S Venkatesh, J Cooper
(1992), pp. 498-501, Proceedings of the 2nd Singapore International Conference on Image Processing, 7-11 September 1992, Singapore, Singapore, E1-1
On the determination of all useful object features for 3D objects using physical models
M Robey, G West, S Venkatesh
(1992), pp. 153-158, AI 1992 : proceedings of the 5th Australian Joint Conference on Artificial Intelligence, Hobart, Tasmania, 16-18 November 1992, Hobart, Tas., E1-1
Satisfying viewsphere requirements using raytracing and physical modelling techniques
M Robey, S Venkatesh, G West
(1992), pp. 452-456, Proceedings of the 2nd Singapore International Conference on Image Processing, 7-11 September 1992, Singapore, Singapore, E1-1
Spatial reasoning for intelligent navigation
S Venkatesh, D Kieronska
(1992), ICARCV 1992 : Second International Conference on Automation, Robotics and Computer Vision, Singapore, Singapore, E1-1
Spatial reasoning by active observation
S Venkatesh, D Kieronska
(1992), pp. 147-153, AIS'92 : Proceedings of 3rd Annual Conference on Artificial Intelligence, Planning and High Autonomy Systems, Perth, W. A., E1-1
A unified formalism for landmark based representation of maps and navigation plans
S Venkatesh, D Kieronska
(1992), pp. 1296-1306, CARs and FOF : 8th international conference on CAD/CAM, robotics and factories of the future : August 17-19, 1992, Metz, France, Metz, France, E1-1
Curve reconstruction and segmentation using deformable models
M Kisworo, G West, S Venkatesh
(1992), pp. 96-100, ICIP 92 : proceedings of the 2nd Singapore International Conference on Image Processing, 7-11 September 1992, Singapore, Singapore, Singapore, E1-1
Deduction of high level spatial relations
D Kieronska, S Venkatesh
(1992), pp. 684-687, Proceedings : Technology for the Intelligent Factory / IEEE International Workshop on Emerging Technologies and Factory Automation, Melbourne, Vic., E1-1
Extracting natural scales using fourier descriptors
P Rosin, S Venkatesh
(1992), pp. 177-182, AI 1992 : proceedings of the 5th Australian Joint Conference on Artificial Intelligence, Hobart, Tasmania, 16-18 November 1992, Hobart, Tas., E1-1
Local energy and multiresolution
S Venkatesh, J Cooper, B White
(1991), DICTA 91 : digital image computing : techniques and applications, Royal Exhibition Building Conference Centre, Melbourne, 4-6 December, 1991, Melbourne, Vic., E1-1
Planning with events and states
D Kieronska, S Venkatesh, C Tsang
(1991), pp. 181-186, AIS'91 : Proceedings of 2nd Annual Conference in AI, Simulation and Planning in High Autonomy Systems : Integrating Qualitative and Quantitative System Knowledge, Cocoa Beach, Fla., E1-1
Subpixel precision edge modelling using the generalised energy approach
M Kisworo, S Venkatesh, G West
(1991), pp. 445-451, SCIA 1991 : Proceedings of the 7th Scandinavian Conference on Image Analysis, Aalborg, Denmark, E1-1
The dissimilarity corner detector
J Cooper, S Venkatesh, L Kitchen
(1991), pp. 1377-1382, ICAR 1991 : Proceedings of the 5th International Conference on Advanced Robotics : Robots in Unstructured Environments, Pisa, Italy, E1-1
2-D edge feature extraction to subpixel accuracy using the generalized energy approach
M Kisworo, S Venkatesh, G West
(1991), pp. 344-348, TENCON'91 : Proceedings of IEEE Region 10 International Conference on EC3-Energy, Computer, Communication and Control Systems, New Delhi, India, E1-1
General purpose viewpoint prediction algorithm
M Robey, G West, S Venkatesh
(1991), DICTA 91 : digital image computing : techniques and applications, Royal Exhibition Building Conference Centre, Melbourne, 4-6 December, 1991, Melbourne, Vic., E1-1
On the classification of image features
S Venkatesh, R Owens
(1990), Vol. 11, pp. 339-349, Pattern recognition letters, Amsterdam, Netherlands, C1-1
Texture factorization : variant and invariant description
S Venkatesh, L Kitchen
(1990), pp. 639-652, AI 1990 : proceedings of the 4th Australian Joint Conference on Artificial Intelligence, Perth, 21-23 November 1990, Perth, W.A., E1-1
Edge detection is a projection
R Owens, S Venkatesh, J Ross
(1989), Vol. 9, pp. 233-244, Pattern recognition letters, Amsterdam, The Netherlands, C1-1
A robust scheme for isolating and classifying visual features
R Owens, S Venkatesh
(1989), pp. 664-679, Proceedings of the International Conference on ArtificiaI Intelligence in Industry and Government, Hyderabad, India, E1-1
Funded Projects at Deakin
Australian Competitive Grants
Surviving the data deluge: Scalable feature extraction, discrimination and analysis for computer vision tasks using compressed sensed data
Prof Svetha Venkatesh, Prof Anil Jain
ARC - Discovery Projects
- 2012: $128,334
Computational Tools to Analyse and Exploit the Social Media Revolution
Prof Svetha Venkatesh, Dr Brett Adams
ARC - Discovery Projects
- 2013: $120,496
- 2012: $93,533
Assistive Technologies for Autism Support Harnessing Social Media
Prof Svetha Venkatesh, Prof Dinh Phung, Dr Brett Adams, Dr Aneesh Krishna
ARC Linkage - Projects Rnd 1
- 2013: $153,358
- 2012: $194,112
Robust and scalable change detection in geo-spatial data
Prof Svetha Venkatesh, Prof Dinh Phung, Dr Sonny Pham
ARC Linkage - Projects Rnd 2, Linkage PhD student
- 2014: $179,628
- 2013: $177,941
- 2012: $85,674
Assistive Tools for Early Intervention in Autism
Prof Svetha Venkatesh, Mrs Silvana Gaglia
ARC Linkage - Projects
- 2017: $67,656
- 2016: $133,312
- 2015: $131,084
- 2014: $64,389
Stay well: Analysing lifestyle data from smart monitoring devices.
Prof Svetha Venkatesh, Prof Dinh Phung, Prof Dinh Phung
ARC - Discovery Projects
- 2017: $136,596
- 2016: $129,091
- 2015: $132,328
ARC Research Hub for Digital Enhanced Living
Prof Kon Mouzakis, Prof Svetha Venkatesh, Prof Anthony Maeder, Prof Alison Hutchinson, Prof Michael Berk, Prof Ralph Maddison, Prof Abbas Kouzani, Prof Rajesh Vasa, Prof Helen Christensen, Prof Patricia Williams, Prof John Yearwood, Prof Susan Gordon, Prof David Powers, A/Prof Niranjan Bidargaddi, A/Prof Santu Rana, A/Prof Truyen Tran, Prof Sunil Gupta, Dr Wei Luo, A/Prof Mohamed Abdelrazek, Dr Felix Tan, Prof Henning Langberg, A/Prof Lars Kayser, Prof Finn Kensing, Prof Freimut Bodendorf, Prof James Warren, Dr Roopak Sinha, Prof A Smeaton, Mr Fonda Voukelatos, Mr John Fouyaxis, Prof John Grundy, Dr Kit Huckvale, Dr Leonard Hoon, David Varley, Nicole Cockayne, Dr Tanya Petrovich, Matthew Macfarlane, Dr Anju Kissoon Curumsing, Prof Deborah Parker, Dr Tom McClean, Dr Scott Barnett, Ms Sharon Grocott, Prof Jean-Guy Schneider, Prof Nilmini Wickramasinghe, A/Prof Carsten Rudolph, Dr Jessica Rivera Villicana, Mr Fernando Escorcia, Dr Gnana Bharathy
ARC Industrial Transformation Research Hubs
- 2021: $388,477
- 2020: $385,381
- 2019: $399,716
- 2018: $449,083
- 2017: $601,698
New 3D printed high entropy alloys for exceptional performance in aerospace and mining
Prof Matthew Barnett, Prof Peter Hodgson, Prof Daniel Fabijanic, Prof Svetha Venkatesh, Prof Xinhua Wu, RMIT Ma Qian, Prof B Murty, A/Prof G.D. Janaki Ram, Prof Satyam Suwas, Dr Anand Krishnamurthy
DIISR/AISRF Grant - AISRF/India-Australian Strategic Research Fund - Department of Innovation, Industry, Science & Research
- 2019: $80,496
- 2018: $17,996
- 2017: $461,508
Pattern analysis for accelerating scientific innovation
Prof Svetha Venkatesh
ARC Fellowship ALF - Australian Laureate Fellowship
- 2022: $235,963
- 2021: $503,480
- 2020: $643,125
- 2019: $735,238
- 2018: $675,850
- 2017: $350,057
Centre of Research Excellence in Suicide Prevention: CRESP ll
Prof Helen Christensen, Prof Svetha Venkatesh, Prof Kathryn Boydell, Dr Fiona Shand, A/Prof Samuel Harvey, A/Prof Philip Batterham, A/Prof Alison Calear, Prof Greg Carter, Dr Mark Larsen, Dr Jo Robinson
NHMRC - Centres of Research Excellence
- 2023: $18,934
- 2022: $75,738
- 2021: $75,738
A Generic Framework for Verifying Machine Learning Algorithms
Prof Svetha Venkatesh, Prof Sunil Gupta, A/Prof Santu Rana, A/Prof Truyen Tran
ARC - Discovery Projects
- 2023: $58,571
- 2022: $125,478
- 2021: $122,286
Develop 3Dprinting, Bioprinting and AI medical applications between India-Australia
Dr Payal Mukherjee, Prof Gordon Wallace, Prof Svetha Venkatesh
DFAT Australia India Grants Program
- 2020: $10,000
Developing a Comprehensive Care Pathway For those at Risk of Suicide But Not in Care: The Under the Radar Project
Prof Helen Christensen, Dr Samuel Harvey, Prof Gregory Carter, Prof Svetha Venkatesh, Prof Kathryn Boydell, Prof Henry Cutler, Prof Ian Kneebone, A/Prof Toby Newton-John, Dr Jin Han, Dr Kit Huckvale
MRFF (NHMRC) - MMM Suicide Prevention
- 2023: $5,026
- 2022: $309,137
Early Moves: A prospective cohort study to identify an early biomarker for cognitive impairment
Prof Catherine Elliott, A/Prof Jane Valentine, A/Prof Alicia Spittle, Prof Roslyn Boyd, Prof Nadia Badawi, Dr Catherine Morgan, Prof Desiree Silva, Prof Elizabeth Geelhoed, Prof Robert Ware, Prof Svetha Venkatesh
NHMRC - Clinical Trials and Cohort Studies Grant
- 2023: $23,017
- 2022: $46,035
- 2021: $46,035
- 2020: $34,526
Optimising treatments in mental health using AI
Prof Helen Christensen, Prof Svetha Venkatesh, Prof Henry Cutler, Ms Ros Knight, Dr Martin Laverty, Prof Sunil Gupta, A/Prof Santu Rana, A/Prof Truyen Tran, Dr Thomas Quinn, Prof Rajesh Vasa, Prof Kon Mouzakis
MRFF (DISER) - Applied Artificial Intelligence Research in Health
- 2023: $509,821
- 2022: $999,770
- 2021: $1,431,416
Mental Health Australia General Clinical Trial Network (MAGNET)
Prof Michael Berk, Prof Susan Rossell, Dr Paul Fitzgerald, Dr Alyna Turner, Prof Adrienne O'Neil, Prof undefined Rodgers, Prof Cathy Mihalopoulos, Prof Chee Ng, Prof Cherrie Galletly, Dr Christopher Davey, Prof Anthony Harris, Prof Christos Pantelis, Prof Colleen Loo, Prof Daniel Lubman, Prof Dan Siskind, Prof David Forbes, Prof Denise Meyer, Prof Felice Jacka, A/Prof Frances Kay-Lambkin, Prof Gin Malhi, Prof Greg Murray, Prof Helen Christensen, Prof Jayashri Kulkarni, Prof Jerome Sarris, Prof Jim Lagopoulos, Prof John McGrath, Dr Kate Hoy, Prof Katherine Mills, Prof Mark Nelson, Prof Meaghan O'Donnell, Prof Jane Gunn, Dr Michael Millard, Prof Michael Kyrios, Prof Murat Yucel, Prof Nicholas Glozier, Prof Nicholas Martin, A/Prof Olivia Dean, Prof Osvaldo Almeida, A/Prof Philip Batterham, A/Prof Rebecca McKetin, Prof Richard Bryan, Prof Richard Osborne, Dr Samuel Harvey, Prof Sean Hood, Prof Stephen Touyz, Prof Suresh Sundram, Prof Vasso Apostolopoulos, A/Prof Sophia Zoungas, Prof Svetha Venkatesh, Sarah Russell
MRFF Million Minds Mission Grant Opportunity
- 2023: $5,407,352
- 2022: $1,936,399
- 2021: $1,478,704
Other Public Sector Funding
Barwon Health Partnership - Advanced data analytics for care management of chronic disease
Prof Svetha Venkatesh, Prof Dinh Phung
Barwon Health Grant - Research
- 2016: $50,000
- 2015: $100,000
- 2014: $20,000
- 2013: $50,000
- 2012: $50,000
Barwon Health/Deakin Health Science Centre
Prof Svetha Venkatesh
Barwon Health Grant - Research
- 2015: $130,000
Management flow information extensions to ihealthmap- Software development of iHealthMap
Prof Svetha Venkatesh
Barwon Health Grant - Research
- 2016: $40,000
- 2015: $105,000
Deep anomaly detection from multiple sensors and applications in situation awareness
Prof Dinh Phung, Prof Svetha Venkatesh
DSTO Grant - Research - Defence Science & Technology Organisation
- 2018: $10,000
- 2017: $10,000
- 2016: $15,000
Investigation of Architectures for Closed Loop Simulations and Design of Experiments supporting Data Farming.
Prof Kon Mouzakis, Prof Svetha Venkatesh, Prof Muhammad Ali-Babar, Dr Wolfgang Mayer, Prof Hussein Abbass
DSTO Grant - Research - Defence Science & Technology Organisation
- 2018: $149,326
Commercialisation of a unique, multidisciplinary approach to rapid alloy development.
Prof Matthew Barnett, Prof Svetha Venkatesh
Department of Industry, Innovation and Science
- 2021: $12,500
- 2020: $51,041
- 2019: $186,459
Al Algorithmic Assurance
Prof Svetha Venkatesh, Prof Sunil Gupta, A/Prof Santu Rana, A/Prof Truyen Tran, Dr Anh Cat Le Ngo, Dr Phuoc Nguyen, Mr Stephan Jacobs, Dr Dang Nguyen
Department of Defence
- 2021: $248,140
- 2020: $208,820
- 2019: $80,640
Defence Applied Al Experiential CoLab
Prof Svetha Venkatesh, Prof Sunil Gupta, A/Prof Santu Rana, A/Prof Truyen Tran
DSTO Grant - Research - Defence Science & Technology Organisation
- 2021: $100,000
- 2020: $873,495
In relation to Assuring an off-the-shelf AI algorithm
Prof Sunil Gupta, A/Prof Truyen Tran, A/Prof Santu Rana, Prof Svetha Venkatesh, Dr Phuoc Nguyen, Mr Tiep-Trong Nguyen, Mr Stephan Jacobs
Defence Science and Technology Group - Department of Defence
- 2022: $85,000
- 2021: $168,034
Coupled self-supervised learning and deep reasoning for improved processing of noisy and dynamic multimodal data from multiple sources.
A/Prof Truyen Tran, A/Prof Shannon Ryan, Prof Sunil Gupta, A/Prof Santu Rana, Prof Svetha Venkatesh
Department of Defence
- 2022: $105,364
Coupled self-supervised learning and deep reasoning for improved processing of noisy and dynamic multimodal data from multiple sources
A/Prof Truyen Tran, A/Prof Shannon Ryan, Prof Sunil Gupta, A/Prof Santu Rana, Prof Svetha Venkatesh
Defence Science and Technology Group - Department of Defence
- 2023: $223,000
Industry and Other Funding
Assistive Technologies for Autism Support Harnessing Social Media
Prof Svetha Venkatesh, Prof Dinh Phung, Dr Brett Adams, Dr Aneesh Krishna
Autism West Support Inc.
- 2014: $12,500
- 2013: $80,000
- 2012: $121,013
NICTA Victoria Research Laboratory Scholarship
Prof Pubudu Pathirana, Prof Svetha Venkatesh
NICTA Grant - Research - National Information Communication Technology Australia
- 2017: $76,840
- 2015: $115,000
- 2013: $109,000
- 2012: $71,000
- 2011: $35,000
Robust and scalable change detection in geo-spatial data
Prof Svetha Venkatesh, Prof Dinh Phung, Dr Sonny Pham
iCetana Pty Ltd
- 2016: $16,500
- 2015: $33,000
- 2014: $33,000
- 2013: $16,500
Therapy Outcomes By You (TOBY) Playpad randomised controlled trial to test the effectiveness of the application for early intervention in Autism.
Prof Svetha Venkatesh, Prof Dinh Phung
Helen Macpherson Smith Trust Grant - Research
- 2013: $60,000
- 2012: $70,000
Assistive Tools for Early Intervention in Autism
Prof Svetha Venkatesh, Mrs Silvana Gaglia
Autism West Support Inc.
- 2017: $80,000
- 2016: $40,000
- 2015: $80,000
Network anomaly detection
Prof Dinh Phung, Prof Svetha Venkatesh
Telstra Corporation Limited
- 2015: $223,580
- 2014: $26,740
Leveraging Social Media for Improving Mental Health
Prof Svetha Venkatesh, Prof Dinh Phung, Ms Trang Thi Minh Pham
Black Dog Institute
- 2017: $3,000
- 2016: $3,000
- 2015: $3,000
COE in Big Data and Machine Learning
Prof Svetha Venkatesh
Telstra Corporation
- 2018: $200,000
- 2017: $400,000
- 2016: $400,000
ARC Research Hub for Digital Enhanced Living
Prof Kon Mouzakis, Prof Svetha Venkatesh, Prof Anthony Maeder, Prof Alison Hutchinson, Prof Michael Berk, Prof Ralph Maddison, Prof Abbas Kouzani, Prof Rajesh Vasa, Prof Helen Christensen, Prof Patricia Williams, Prof John Yearwood, Prof Susan Gordon, Prof David Powers, A/Prof Niranjan Bidargaddi, A/Prof Santu Rana, A/Prof Truyen Tran, Prof Sunil Gupta, Dr Wei Luo, A/Prof Mohamed Abdelrazek, Dr Felix Tan, Prof Henning Langberg, A/Prof Lars Kayser, Prof Finn Kensing, Prof Freimut Bodendorf, Prof James Warren, Dr Roopak Sinha, Prof A Smeaton, Mr Fonda Voukelatos, Mr John Fouyaxis, Prof John Grundy, Dr Kit Huckvale, Dr Leonard Hoon, David Varley, Nicole Cockayne, Dr Tanya Petrovich, Matthew Macfarlane, Dr Anju Kissoon Curumsing, Prof Deborah Parker, Dr Tom McClean, Dr Scott Barnett, Ms Sharon Grocott, Prof Jean-Guy Schneider, Prof Nilmini Wickramasinghe, A/Prof Carsten Rudolph, Dr Jessica Rivera Villicana, Mr Fernando Escorcia, Dr Gnana Bharathy
Dementia Australia (Alzheimer's Australia) Vic Inc, Aged Care & Housing Group Inc, Cancer Council Victoria Grant - Research, Interrelate Limited, Health Metrics, Uniting NSW.ACT, NeoProducts Pty Ltd, goAct, Black Dog Institute, Unisono Pty Ltd, Uniting AgeWell
- 2022: $793,130
- 2020: $553,025
- 2019: $378,745
Improving mental health through social media
Dr Thin Nguyen, Prof Dinh Phung, Prof Svetha Venkatesh, Dr Bridianne O'Dea, Dr Mark Larsen, Prof Helen Christensen
Black Dog Institute
- 2017: $20,000
- 2016: $20,000
Digital Enhanced Living Project
Prof Kon Mouzakis, Prof Rajesh Vasa, Dr Niroshinie Fernando, A/Prof Mohamed Abdelrazek, Prof Svetha Venkatesh, Prof Dinh Phung, Prof John Grundy
Unisono Pty Ltd
- 2017: $680,000
- 2016: $501,220
Accuracy of Machine Scoring of Fidgety Movements from High Risk Infant Populations
Prof Svetha Venkatesh
Cerebral Palsy Alliance Grant - Research
- 2018: $67,204
- 2017: $33,602
- 2016: $33,602
Unlocking factors for successful job placement through machine learning
Prof Svetha Venkatesh, Dr Wei Luo
WISE Employment Ltd
- 2018: $52,019
- 2017: $78,028
iCetana - Phase 1 Examine and compare state-of-art methods in background/foreground separation
Prof Svetha Venkatesh, A/Prof Santu Rana, Prof Sunil Gupta, Dr Budhaditya Saha
iCetana Pty Ltd
- 2020: $50,000
- 2018: $100,000
- 2017: $200,000
Identification of Blood RNA Biomarkers to Measure Disease Progression in Parkinson's Disease.
Prof Sunil Gupta, Prof Svetha Venkatesh, Dr Thin Nguyen
Parkinson's NSW Limited
- 2021: $42,500
- 2020: $42,500
Scale Faciliation CoLab
Dr Scott Barnett, Dr Yasmeen George, Mr Andrew Vouliotis, Dr Srikanth Thudumu, Dr Leonard Hoon, Prof Sunil Gupta, A/Prof Santu Rana, A/Prof Truyen Tran, Prof Rajesh Vasa, Prof Kon Mouzakis, Prof Svetha Venkatesh, Dr Rena Logothetis
Third Chapter Pty Ltd (Sanitex)
- 2022: $600,000
- 2021: $400,000
Fidgety Movement Detection for Robust and Interpretable Cerebral Palsy Risk Assessment
A/Prof Truyen Tran, Prof Svetha Venkatesh
Cerebral Palsy Alliance Grant - Research
- 2023: $51,003
- 2022: $51,003
SaniteX - Re-open
Dr Scott Barnett, Mr Andrew Vouliotis, Dr Srikanth Thudumu, Dr Rena Logothetis, Dr Leonard Hoon, Prof Sunil Gupta, A/Prof Santu Rana, A/Prof Truyen Tran, Prof Rajesh Vasa, Prof Kon Mouzakis, Prof Svetha Venkatesh
Sanitex Global Pty Ltd
- 2023: $400,000
- 2022: $1,050,000
Scale Facilitation AI Colab.
Prof Svetha Venkatesh, Prof Sunil Gupta, A/Prof Santu Rana, A/Prof Truyen Tran, A/Prof Shannon Ryan, Prof Kon Mouzakis, Prof Rajesh Vasa, Dr Scott Barnett, Dr Anj Simmons, Dr Rena Logothetis
Sanitex Global Pty Ltd
- 2023: $1,000,000
Other Funding Sources
Computational infrastructure for developing deep machine learning models.
Prof Ian Reid, Prof Svetha Venkatesh, Prof Peter Corke, Prof Mohammed Bennamoun, A/Prof Stephen Gould, Prof Anton van den Hengel, Prof Chunhua Shen, Dr Anthony Dick, A/Prof Gustavo Cameiro, Prof Dinh Phung, Dr Niko Suenderhauf, A/Prof Ajmal Mian
ARC LIEF - Linkage Infrastructure Equipment & Facilities Program
- 2016: $29,094
A world-class machine learning facility for Australia
Prof Anton van den Hengel, Prof Svetha Venkatesh, Prof Ian Reid, A/Prof Stephen Gould, Prof Chunhua Shen, Simon Lucey, A/Prof Hongdong Li, Dr Anthony Dick, Prof Massimo Piccardi, A/Prof Gustavo Carneiro
ARC LIEF - Linkage Infrastructure Equipment & Facilities Program
- 2019: $70,000
The CRC-P for Advanced Hybrid Batteries
Prof Patrick Howlett, Prof Maria Forsyth, A/Prof Robert Kerr, Prof Svetha Venkatesh, Prof Sunil Gupta, A/Prof Santu Rana
Cooperative Research Centres (CRC) Projects Program, Department of Industry, Innovation and Science.
- 2023: $275,576
- 2022: $189,722
- 2021: $295,583
- 2020: $170,546
Supervisions
Xin Zhang
Thesis entitled: Sparse representation for face images
Doctor of Philosophy (Information Technology), School of Information Technology
Pratibha Vellanki
Thesis entitled: Applied Machine Learning for Personalised Early Intervention in Autism
Doctor of Philosophy (Information Technology), School of Information Technology
Iman Kamkar
Thesis entitled: Building Stable Predictive Models for Healthcare Applications: A Data-Driven Approach
Doctor of Philosophy (Information Technology), School of Information Technology
Dung Nguyen
Thesis entitled: Towards Social Artificial Intelligence: Roles and Theory of Mind
Doctor of Philosophy (Information Technology), Applied Artificial Intel Ins
Arun Kumar Anjanapura Venkatesh
Thesis entitled: Accelerating Bayesian Optimisation with Advanced Kernel Learning Methods
Doctor of Philosophy (Information Technology), Applied Artificial Intel Ins
Thanh Tung Hoang
Thesis entitled: Toward Generalizable Deep Generative Models
Doctor of Philosophy (Information Technology), Applied Artificial Intel Ins
Deepthi Praveenlal Kuttichira
Thesis entitled: Tackling Practical Challenges in Neural Network Model Deployment
Doctor of Philosophy (Information Technology), Applied Artificial Intel Ins
Tang Thanh Nguyen
Thesis entitled: On Practical Reinforcement Learning: Provable Robustness, Scalability, and Statistical Efficiency
Doctor of Philosophy (Information Technology), Applied Artificial Intel Ins
Huu Phuc Luong
Thesis entitled: Bayesian Optimization for Discrete, Missing and Cost-sensitive Inputs
Doctor of Philosophy (Information Technology), Applied Artificial Intel Ins
Thao Minh Le
Thesis entitled: Deep Neural Networks for Visual Reasoning
Doctor of Philosophy (Information Technology), Applied Artificial Intel Ins
Julian Maxwell Andrew Berk
Thesis entitled: A Distributional Approach towards Efficient and Versatile Bayesian Optimisation
Doctor of Philosophy (Information Technology), Applied Artificial Intel Ins
Majid Abdolshah
Thesis entitled: Multi-objective Bayesian Optimisation and Its Applications
Doctor of Philosophy (Information Technology), Applied Artificial Intel Ins
Ang (Leon) Yang
Thesis entitled: Scalable Bayesian Optimization with Sparse Gaussian Process Models
Doctor of Philosophy (Information Technology), Applied Artificial Intel Ins
Anil Ramachandran
Thesis entitled: Harnessing Auxiliary Knowledge Towards Efficient Bayesian Optimisation
Doctor of Philosophy (Information Technology), Applied Artificial Intel Ins
Thai Hung Le
Thesis entitled: Memory and attention in deep learning
Doctor of Philosophy (Information Technology), Applied Artificial Intel Ins
Duc Kien Do
Thesis entitled: Novel Deep Architectures for Representation Learning
Doctor of Philosophy (Information Technology), Applied Artificial Intel Ins
Thanh Hung Vu
Thesis entitled: Video Anomaly Detection using Deep Generative Models
Doctor of Philosophy (Information Technology), Applied Artificial Intel Ins
Khanh Nguyen
Thesis entitled: Nonparametric Online Machine Learning with Kernels
Doctor of Philosophy (Information Technology), Applied Artificial Intel Ins
Thanh Dai Nguyen
Thesis entitled: Addressing Practical Challenges of Bayesian Optimization
Doctor of Philosophy (Information Technology), School of Information Technology
Tinu Theckel Joy
Thesis entitled: Efficient Hyperparameter Tuning using Bayesian Optimization
Doctor of Philosophy (Information Technology), School of Information Technology
Trang Thi Minh Pham
Thesis entitled: Recurrent Neural Networks for Structured Data
Doctor of Philosophy (Information Technology), School of Information Technology
Haripriya Harikumar
Thesis entitled: Machine learning to fight addiction using social media
Doctor of Philosophy (Information Technology), School of Information Technology
Dang Pham Hai Nguyen
Thesis entitled: Representation Learning in Complex Data via Pattern Discovery
Doctor of Philosophy (Information Technology), School of Information Technology
Thanh Binh Nguyen
Thesis entitled: Making Sense of Pervasive Signals: a Machine Learning Approach
Doctor of Philosophy (Information Technology), School of Information Technology
Shivapratap Gopakumar
Thesis entitled: Machine Learning in Healthcare: An Investigation into Model Stability
Doctor of Philosophy (Information Technology), School of Information Technology
Huu Viet Huynh
Thesis entitled: Towards Scalable Bayesian Nonparametric Methods for Data Analytics
Doctor of Philosophy (Information Technology), School of Information Technology
Adham Beykikhoshk
Thesis entitled: Knowledge Discovery and Probabilistic Models of Online Autism Spectrum Disorder Data
Doctor of Philosophy (Information Technology), School of Information Technology
Bo Dao
Thesis entitled: Social Media as Sensor for Healthcare: A Machine Learning Approach
Doctor of Philosophy (Information Technology), School of Information Technology
Tien Vu Nguyen
Thesis entitled: Bayesian nonparametric multilevel modelling and applications
Doctor of Philosophy (Information Technology), School of Information Technology
Cong Thuong Nguyen
Thesis entitled: Bayesian nonparametric learning of contexts and activities from pervasive signals
Doctor of Philosophy (Information Technology), School of Information Technology
Tu Dinh Nguyen
Thesis entitled: Structured representation learning from complex data
Doctor of Philosophy (Information Technology), School of Information Technology
Cheng Li
Thesis entitled: Exploiting side information in Bayesian nonparametric models and their applications
Doctor of Philosophy (Information Technology), School of Information Technology