Publications
Batch Bayesian optimization using multi-scale search
T Joy, S Rana, S Gupta, S Venkatesh
(2020), Vol. 187, pp. 1-11, Knowledge-Based Systems, Amsterdam, The Netherlands, C1
Bayesian strategy selection identifies optimal solutions to complex problems using an example from GP prescribing
S Allender, J Hayward, S Gupta, A Sanigorski, S Rana, H Seward, S Jacobs, S Venkatesh
(2020), Vol. 3, npj Digital Medicine, C1
Incorporating expert prior in Bayesian optimisation via space warping
A Ramachandran, S Gupta, S Rana, Cheng Li, S Venkatesh
(2020), Vol. 195, pp. 1-11, Knowledge-based systems, Amsterdam, The Netherlands, C1
Bayesian optimisation in unknown bounded search domains
J Berk, S Gupta, S Rana, V Nguyen, S Venkatesh
(2020), Vol. 195, pp. 1-9, Knowledge-based systems, Amsterdam, The Netherlands, 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
Brisa Fernandes, Chandan Karmakar, Ryad Tamouza, Truyen Tran, John Yearwood, Nora Hamdani, Hakim Laouamri, Jean-Romain Richard, Robert Yolken, Michael Berk, Svetha Venkatesh, Marion Leboyer
(2020), Vol. 10, pp. 1-13, Translational Psychiatry, Berlin, Germany, 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, London, Eng., C1
Fast hyperparameter tuning using Bayesian optimization with directional derivatives
T Joy, S Rana, S Gupta, S Venkatesh
(2020), Vol. 205, pp. 1-8, Knowledge-Based Systems, Amsterdam, The Netherlands, 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
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
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
MrPC: Causal Structure Learning in Distributed Systems
T Nguyen, D Nguyen, T Le, S Venkatesh
(2020), Vol. 1332, pp. 87-94, Neural Information Processing. ICONIP 2020, Bangkok, Thailand, 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, 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, Amsterdam, The Netherlands, C1
Solving for X: evidence for sex-specific autism biomarkers across multiple transcriptomic studies
Samuel Lee, Thomas Quinn, Jerry Lai, Sek Kong, Irva Hertz-Picciotto, Stephen Glatt, Tamsyn Crowley, Svetha Venkatesh, Thin Nguyen
(2019), Vol. 180, pp. 337-389, American journal of medical genetics: part B neuropsychiatric genetics, Chichester, Eng., C1
Improving the classification of neuropsychiatric conditions using gene ontology terms as features
Thomas Quinn, Samuel Lee, Svetha Venkatesh, Thin Nguyen
(2019), Vol. 180, pp. 508-518, American journal of medical genetics part b: neuropsychiatric genetics, Chichester, Eng., C1
Muhammad Sajjad, Kara Holloway-Kew, Mohammadreza Mohebbi, Mark Kotowicz, Lelia de Abreu, Patricia Livingston, Mustafa Khasraw, Sharon Hakkennes, Trisha Dunning, Susan Brumby, Richard Page, Alasdair Sutherland, Svetha Venkatesh, Lana Williams, Sharon Brennan-Olsen, Julie Pasco
(2019), Vol. 9, pp. 1-9, BMJ open, London, Eng., C1
Cancer as a tissue anomaly: classifying tumor transcriptomes based only on healthy data
Thomas Quinn, Thin Nguyen, Samuel Lee, Svetha Venkatesh
(2019), Vol. 10, pp. 1-6, Frontiers in genetics, Lausanne, Switzerland, C1
A cross-cancer metastasis signature in the microRNA-mRNA axis of paired tissue samples
Samuel Lee, Alistair Quinn, Thin Nguyen, Svetha Venkatesh, Thomas Quinn
(2019), Vol. 46, pp. 5919-5930, Molecular Biology Reports, Berlin, Germany, 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, Washington, D.C., C1
S Barnett, K Huckvale, H Christensen, S Venkatesh, K Mouzakis, R Vasa
(2019), Vol. 21, pp. 1-17, Journal of Medical Internet Research, Toronto, 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, Washington, D.C., 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
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
Discovering topic structures of a temporally evolving document corpus
A Beykikhoshk, O Arandjelovic, Q Phung, S Venkatesh
(2018), Vol. 55, pp. 599-632, Knowledge and Information Systems, London, Eng., 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, Amsterdam, The Netherlands, 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, Amsterdam, The Netherlands, 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, London, Eng., C1
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
(2018), pp. 1-9, Future generation computer systems, Amsterdam, The Netherlands, 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, pp. 1-17, PLoS One, San Francisco, Calif., C1
Effective identification of similar patients through sequential matching over ICD code embedding
Dang Nguyen, Wei Luo, Svetha Venkatesh, Dinh Phung
(2018), Vol. 42, pp. 1-13, Journal of medical systems, New York, N.Y., C1
Filtering Bayesian optimization approach in weakly specified search space
T Nguyen, Sunil Gupta, Santu Rana, Cheng Li, Svetha Venkatesh
(2018), pp. 1-29, Knowledge and information systems, London, Eng., 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, Amsterdam, The Netherlands, 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 optimization
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
Variational Memory Encoder-Decoder
Hung Le, Truyen Tran, Thin Nguyen, Svetha Venkatesh
(2018), Vol. 31, Advanced in Neural Information Processing Systems 31 (NIPS 2018), Montreal, Canada, 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
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, Amsterdam, The Netherlands, C1-1
B Saha, S Gupta, Q Phung, S Venkatesh
(2017), Vol. 53, pp. 179-206, Knowledge and information systems, London, Eng., C1
A framework for mixed-type multi-outcome 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, Piscataway, N.J., 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, London, Eng., 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, Amsterdam, The Netherlands, 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, Piscataway, N.J., 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, Amsterdam, The Netherlands, 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, Amsterdam, The Netherlands, 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, Amsterdam, The Netherlands, 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, pp. 1-10, Scientific reports, London, Eng., 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, Piscataway, N.J., C1
C Karmakar, R Udhayakumar, P Li, S Venkatesh, M Palaniswami
(2017), Vol. 8, pp. 720-734, Frontiers in Physiology, Lausanne, 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, pp. 1-97-7-97, Archives of osteoporosis, Cham, Switzerland, 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
V Nguyen, T Nguyen, T Le, S Venkatesh, D Phung
(2017), pp. 1113-1118, ICDM 2016 : Proceedings of the 16th International Conference on Data Mining 2016, 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, S Gupta, S Rana, C Li, S Venkatesh
(2017), Vol. 77, pp. 279-294, Journal of Machine Learning Research, 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
C Li, S Gupta, S Rana, W Luo, S Venkatesh, D Ashley, Q Phung
(2016), Vol. 9651, pp. 152-164, 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
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
Multiple task transfer learning with small sample sizes
B Saha, S Gupta, Q Phung, S Venkatesh
(2016), Vol. 46, pp. 315-342, Knowledge and information systems, Berlin, Germany, C1
Data clustering using side information dependent Chinese restaurant processes
C Li, S Rana, Q Phung, S Venkatesh
(2016), Vol. 47, pp. 463-488, Knowledge and information systems, Berlin, Germany, C1
T Tran, Q Phung, S Venkatesh
(2016), Vol. 47, pp. 157-188, Knowledge and information systems, New York, N.Y., C1
Stabilizing l1-norm prediction models by supervised feature grouping
I Kamkar, S Gupta, Q Phung, S Venkatesh
(2016), Vol. 59, pp. 149-168, Journal of biomedical informatics, Amsterdam, The Netherlands, C1
Graph-induced restricted Boltzmann machines for document modeling
T Nguyen, T Tran, Q Phung, S Venkatesh
(2016), Vol. 328, pp. 60-75, Information sciences, Amsterdam, The Netherlands, C1
A new transfer learning framework with application to model-agnostic multi-task learning
S Gupta, S Rana, B Saha, Q Phung, S Venkatesh
(2016), Vol. 49, pp. 933-973, Knowledge and information systems, London, England, C1
Nonparametric discovery of movement patterns from accelerometer signals
T Nguyen, S Gupta, S Venkatesh, Q Phung
(2016), Vol. 70, pp. 52-58, Pattern recognition letters, Amsterdam, The Netherlands, C1
A framework for classifying online mental health related communities with an interest in depression
B Saha, T Nguyen, Q Phung, S Venkatesh
(2016), Vol. 20, pp. 1008-1015, IEEE journal of biomedical and health informatics, Piscatawy, N.J., 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, Amsterdam, The Netherlands, C1
Consistency of the Health of the Nation Outcome Scales (HoNOS) at inpatient-to-community transition.
W Luo, R Harvey, T Tran, Q Phung, S Venkatesh, J Connor
(2016), Vol. 6, pp. 1-6, BMJ open, London, Eng., 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
D Pham, S Venkatesh, O Arandjelovic
(2016), Vol. 26, pp. 939-949, IEEE transactions on circuits and systems for video technology, Piscataway, N.J., C1
Collaborative filtering via sparse Markov random fields
T Tran, D Phung, S Venkatesh
(2016), Vol. 369, pp. 221-237, Information sciences, Amsterdam, The Netherlands, C1
C Karmakar, W Luo, T Tran, M Berk, S Venkatesh
(2016), Vol. 3, pp. 1-10, JMIR mental health, Toronto, Ont., 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, Amsterdam, The Netherlands, 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. 1-16, JMIR medical informatics, Toronto, Ont., C1
Ageing, chronic disease and injury: a study in western Victoria (Australia)
M Sajjad, K Holloway, M Kotowicz, P Livingston, M Khasraw, S Hakkennes, P 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, Pavia, Italy, 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. 1-8, BMJ open, London, Eng., 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, pp. 1-12, BMC pediatrics, London, Eng., C1
W Luo, Q Phung, T Tran, S Gupta, S Rana, C Karmakar, A Shilton, J Yearwood, N Dimitrova, T Ho, S Venkatesh, M Berk
(2016), Vol. 18, pp. 1-10, Journal of medical internet research, Toronto, Ont., 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 for 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 mode
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, D Phung, S Venkatesh, X Nguyen, M Hoffman, H Bui
(2016), pp. 289-298, 32nd Conference on Uncertainty in Artificial Intelligence 2016, UAI 2016, 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
K Do, T Tran, D Phung, S Venkatesh
(2016), Vol. 10086 LNAI, pp. 111-125, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 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
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
A Beykikhoshk, O Arandjelovic, S Venkatesh, Q Phung
(2015), pp. 550-562, 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, C1
Anomaly detection in large-scale data stream networks
D Pham, S Venkatesh, M Lazarescu, S Budhaditya
(2014), Vol. 28, pp. 145-189, Data Mining and Knowledge Discovery, 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
Modelling multilevel data in multimedia : A hierarchical factor analysis approach
S Gupta, D Phung, S Venkatesh
(2014), pp. 1-23, Multimedia Tools and Applications, New York, New York, 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, 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
Regularized nonnegative shared subspace learning
S Gupta, D Phung, B Adams, S Venkatesh
(2013), Vol. 26, pp. 57-97, Data Mining and Knowledge Discovery, C1-1
Detection of cross-channel anomalies
D Pham, B Saha, D Phung, S Venkatesh
(2013), Vol. 35, pp. 33-59, Knowledge and Information Systems, C1
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, 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 and Electrical Engineering, 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, 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, C1
Sparse subspace clustering via group sparse coding
B Saha, D Son Pham, D Phung, S Venkatesh
(2013), pp. 130-138, Proceedings of the 2013 SIAM International Conference on Data Mining, SDM 2013, 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, Conference on Human Factors in Computing Systems - Proceedings, E1
Exploiting side information in distance dependent Chinese restaurant processes for data clustering
C Li, D Phung, S Rana, S Venkatesh
(2013), Proceedings - IEEE International Conference on Multimedia and Expo, E1
Analysis of psycholinguistic processes and topics in online autism communities
T Nguyen, D Phung, S Venkatesh
(2013), Proceedings - IEEE International Conference on Multimedia and Expo, 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), Vol. 1, pp. 384-389, Proceedings of the 2013 IEEE 8th International Conference on Intelligent Sensors, Sensor Networks and Information Processing: Sensing the Future, ISSNIP 2013, E1
T Nguyen, D Phung, S Gupta, S Venkatesh
(2013), pp. 47-55, 2013 IEEE International Conference on Pervasive Computing and Communications, PerCom 2013, 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, C1-1
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, 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, 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
Emotional reactions to real-world events in social networks
T Nguyen, D Phung, B Adams, S Venkatesh
(2012), Vol. 7104 LNAI, pp. 53-64, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), E1-1
S Gupta, D Phung, S Venkatesh
(2012), pp. 200-211, Proceedings of the 12th SIAM International Conference on Data Mining, SDM 2012, E1
Improved subspace clustering via exploitation of spatial constraints
D Pham, S Budhaditya, D Phung, S Venkatesh
(2012), pp. 550-557, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, E1
Towards a video browser for the digital native
B Adams, S Greenhill, S Venkatesh
(2012), pp. 127-132, Proceedings of the 2012 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2012, 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, Proceedings - IEEE International Conference on Data Mining, ICDM, E1
Large-scale statistical modeling of motion patterns: A Bayesian nonparametric approach
S Rana, D Phung, S Pham, S Venkatesh
(2012), ACM International Conference Proceeding Series, 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, Proceedings - International Conference on Pattern Recognition, 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 Pharn, W Liu, S Venkatesh
(2012), pp. 1675-1678, Proceedings - International Conference on Pattern Recognition, 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 6th International AAAI Conference on Weblogs and Social Media, E1
S Gupta, D Phung, S Venkatesh
(2012), pp. 316-325, Uncertainty in Artificial Intelligence - Proceedings of the 28th Conference, UAI 2012, 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 and Control, 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, C1-1
Efficient subwindow search with submodular score functions
S An, P Peursum, W Liu, S Venkatesh
(2011), pp. 1409-1416, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 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 2011 ACM Multimedia Conference and Co-Located Workshops, 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, 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, Conference on Human Factors in Computing Systems - Proceedings, 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), Vol. 20, pp. 213-229, Journal of Machine Learning Research, 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, Proceedings - IEEE International Conference on Data Mining, ICDM, 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, C1-1
D Pham, H Bui, S Venkatesh
(2010), Vol. 56, pp. 6433-6449, IEEE Transactions on Information Theory, C1-1
Discovery of latent subcommunities in a blog's readership
B Adams, D Phung, S Venkatesh
(2010), Vol. 4, ACM Transactions on the Web, C1-1
Multi-class pattern classification in imbalanced data
A Ghanem, S Venkatesh, G West
(2010), pp. 2881-2884, Proceedings - International Conference on Pattern Recognition, 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'10 - Proceedings of the 2nd ACM SIGMM Workshop on Social Media, Co-located with ACM Multimedia 2010, 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, 11th International Conference on Control, Automation, Robotics and Vision, ICARCV 2010, E1-1
Exploiting monge structures in optimum subwindow search
S An, P Peursum, W Liu, S Venkatesh, X Chen
(2010), pp. 926-933, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, E1-1
Augmenting trust establishment in dynamic systems with social networks
B Lagesse, M Kumar, S Venkatesh, M Lazarescu
(2010), ACM International Conference Proceeding Series, E1-1
Interactively browsing movies in terms of action, foreshadowing and resolution
S Greenhill, B Adams, S Venkatesh
(2010), pp. 197-200, Proceedings of the ACM International Conference on Digital Libraries, 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, Proceedings - International Conference on Pattern Recognition, 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
Classifying Multiple Imbalanced Attributes in Relational Data
Amal Ghanem, Svetha Venkatesh, Geoff West
(2009), pp. 220-229, AI 2009: Advances in Artificial Intelligence, B1-1
Automatic Fitting of a Deformable Face Mask Using a Single Image
Annika Kuhl, Tele Tan, Svetha Venkatesh
(2009), pp. 69-81, Computer Vision/Computer Graphics CollaborationTechniques, 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, C1-1
Dynamic privacy in public surveillance
S Moncrieff, S Venkatesh, G West
(2009), Vol. 42, pp. 22-28, Computer, 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, 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, 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, Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, UAI 2009, E1-1
Comparative evaluation of pedestrian detection methods for mobile bus surveillance
W Leoputra, S Venkatesh, T Tan
(2009), pp. 3525-3528, ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, E1-1
Social reader: Following social networks in the wilds of the blogosphere
B Adams, D Phung, S Venkatesh
(2009), pp. 73-80, 1st ACM SIGMM International Workshop on Social Media, WSM'09, Co-located with the 2009 ACM International Conference on Multimedia, MM'09, E1-1
R Negoescu, B Adams, D Phung, S Venkatesh, D Gatica-Perez
(2009), pp. 813-816, MM'09 - Proceedings of the 2009 ACM Multimedia Conference, with Co-located Workshops and Symposiums, E1-1
Distributed audio network for speech enhancement in challenging noise backgrounds
T Kühnapfel, T Tan, S Venkatesh, B Igel
(2009), pp. 308-313, 6th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2009, E1-1
Efficient algorithms for subwindow search in object detection and localization
S An, P Peursum, W Liu, S Venkatesh
(2009), Vol. 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 264-271, 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2009, E1-1
A framework for the design of privacy preserving pervasive healthcare
S Moncrieff, S Venkatesh, G West
(2009), pp. 1696-1699, Proceedings - 2009 IEEE International Conference on Multimedia and Expo, ICME 2009, E1-1
Effective anomaly detection in sensor networks data streams
S Budhaditya, D Pham, M Lazarescu, S Venkatesh
(2009), pp. 722-727, Proceedings - IEEE International Conference on Data Mining, ICDM, E1-1
High accuracy context recovery using clustering mechanisms
D Phung, B Adams, K Tran, S Venkatesh, M Kumar
(2009), 7th Annual IEEE International Conference on Pervasive Computing and Communications, PerCom 2009, E1-1
Hierarchical semi-Markov conditional random fields for recursive sequential data
T Truyen, D Phung, H Bui, S Venkatesh
(2009), pp. 1657-1664, Advances in Neural Information Processing Systems 21 - Proceedings of the 2008 Conference, E1-1
Dynamic privacy assessment in a smart house environment using multimodal sensing
S Moncrieff, S Venkatesh, G West
(2008), Vol. 5, ACM Transactions on Multimedia Computing, Communications and Applications, 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, C1-1
Sensing and using social context
B Adams, D Phung, S Venkatesh
(2008), Vol. 5, ACM Transactions on Multimedia Computing, Communications and Applications, 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, C1-1
Model-based character recognition in low resolution
A Kuhl, T Tan, S Venkatesh
(2008), pp. 1001-1004, Proceedings - International Conference on Image Processing, ICIP, E1-1
Temporal semantic compression for video browsing
B Adams, S Greenhill, S Venkatesh
(2008), pp. 293-296, International Conference on Intelligent User Interfaces, Proceedings IUI, E1-1
The hidden permutation model and location-based activity recognition
H Bui, D Phung, S Venkatesh, H Phan
(2008), Vol. 3, pp. 1345-1350, Proceedings of the National Conference on Artificial Intelligence, E1-1
Passenger monitoring in moving bus video
W Leoputra, S Venkatesh, T Tan
(2008), pp. 719-725, 2008 10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008, E1-1
Pedestrian detection for mobile bus surveillance
W Leoputra, S Venkatesh, T Tan
(2008), pp. 726-732, 2008 10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008, E1-1
Computable social patterns from sparse sensor data
D Phung, B Adams, S Venkatesh
(2008), Vol. 300, pp. 69-72, ACM International Conference Proceeding Series, E1-1
Exploiting side information in locality preserving projection
S An, W Liu, S Venkatesh
(2008), 26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR, E1-1
Joint learning and dictionary construction for pattern recognition
D Pham, S Venkatesh
(2008), 26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR, 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), 26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR, E1-1
Contextual navigation in a multimedia journal
S Greenhill, S Venkatesh
(2008), pp. 833-836, MM'08 - Proceedings of the 2008 ACM International Conference on Multimedia, with co-located Symposium and Workshops, E1-1
Adaptive speech enhancement with varying noise backgrounds
T Kühnapfel, T Tan, S Venkatesh, S Nordholm, B Igel
(2008), Proceedings - International Conference on Pattern Recognition, E1-1
Boosting performance for 2D Linear Discriminant Analysis via regression
N Nguyen, W Liu, S Venkatesh
(2008), Proceedings - International Conference on Pattern Recognition, E1-1
Context aware privacy in visual surveillance
S Moncrieff, S Venkatesh, G West
(2008), Proceedings - International Conference on Pattern Recognition, 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), Proceedings - International Conference on Pattern Recognition, E1-1
Model-based combined tracking and resolution enhancement
A Kuhl, T Tan, S Venkatesh
(2008), Proceedings - International Conference on Pattern Recognition, E1-1
Ridge regression for Two Dimensional Locality Preserving Projection
N Nguyen, W Liu, S Venkatesh
(2008), Proceedings - International Conference on Pattern Recognition, 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
Indoor location prediction using multiple wireless received signal strengths
K Tran, D Phung, B Adams, S Venkatesh
(2008), Vol. 87, pp. 187-192, Conferences in Research and Practice in Information Technology Series, 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, C1-1
S Moncrieff, S Moncrieff, S Venkatesh, 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, C1-1
Online audio background determination for complex audio environments
S Moncrieff, S Venkatesh, G West
(2007), Vol. 3, ACM Transactions on Multimedia Computing, Communications and Applications, C1-1
Recognition of emergent human behaviour in a smart home: A data mining approach
S Lühr, G West, S Venkatesh
(2007), Vol. 3, pp. 95-116, Pervasive and Mobile Computing, 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, ACM Transactions on Multimedia Computing, Communications and Applications, 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 Kühnapfel, T Tan, S Venkatesh, E Lehmann
(2007), Vol. 2, pp. 741-744, ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, E1-1
Face recognition using kernel ridge regression
S An, W Liu, S Venkatesh
(2007), Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, E1-1
Tracking-as-recognition for articulated full-body human motion analysis
P Peursum, S Venkatesh, G West
(2007), Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, E1-1
Dynamic privacy in a smart house environment
S Moncrieff, S Venkatesh, G West
(2007), pp. 2034-2037, Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, ICME 2007, E1-1
Distributed query processing for mobile surveillance
S Greenhill, S Venkatesh
(2007), pp. 413-422, Proceedings of the ACM International Multimedia Conference and Exhibition, E1-1
Privacy and the access of information in a smart house environment
S Moncrieff, S Venkatesh, G West
(2007), pp. 671-680, Proceedings of the ACM International Multimedia Conference and Exhibition, 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-, Proceedings of the ACM International Multimedia Conference and Exhibition, E1-1
Infrequent item mining in multiple data streams
B Saha, M Lazarescu, S Venkatesh
(2007), pp. 569-574, Proceedings - IEEE International Conference on Data Mining, ICDM, E1-1
Generating comprehensible summaries of rushes sequences based on robust feature matching
B Truong, S Venkatesh
(2007), pp. 30-34, Proceedings of the International Workshop on TRECVID Video Summarization, TVS '07, Co-located with the ACM Multimedia 2007, MM'07, E1-1
Linking identities and viewpoints in home movies based on robust feature matching
B Truong, S Venkatesh
(2007), Vol. 4351 LNCS, pp. 636-648, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 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), Vol. 4351 LNCS, pp. 505-516, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 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 International Joint Conference on Artificial Intelligence, 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, 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), Vol. 3, pp. 168-172, Proceedings - International Conference on Pattern Recognition, E1-1
Efficient cross-validation of the complete two stages in KFD classifier formulation
S An, W Liu, S Venkatesh
(2006), Vol. 3, pp. 240-244, Proceedings - International Conference on Pattern Recognition, E1-1
T Duong, D Phung, H Bui, S Venkatesh
(2006), Vol. 3, pp. 202-207, Proceedings - International Conference on Pattern Recognition, E1-1
P Peursum, S Venkatesh, G West
(2006), Vol. 4, pp. 929-934, Proceedings - International Conference on Pattern Recognition, E1-1
Unifying background models over complex audio using entropy
S Moncrieff, S Venkatesh, G West
(2006), Vol. 4, pp. 249-253, Proceedings - International Conference on Pattern Recognition, E1-1
A smith-waterman local alignment approach for spatial activity recognition
D Riedel, S Venkatesh, W Liu
(2006), Proceedings - IEEE International Conference on Video and Signal Based Surveillance 2006, AVSS 2006, E1-1
Browsing personal media archives with spatial context using panoramas
B Adams, S Greenhill, S Venkatesh
(2006), pp. 711-714, Proceedings of the 14th Annual ACM International Conference on Multimedia, MM 2006, E1-1
Extraction of social context and application to personal multimedia exploration
B Adams, D Phung, S Venkatesh
(2006), pp. 987-996, Proceedings of the 14th Annual ACM International Conference on Multimedia, MM 2006, E1-1
Virtual observers in a mobile surveillance system
S Greenhill, S Venkatesh
(2006), pp. 579-588, Proceedings of the 14th Annual ACM International Conference on Multimedia, MM 2006, E1-1
Narrative structure detection through audio pace
S Moncrieff, S Venkatesh
(2006), Vol. 2006, pp. 20-27, MMM2006: 12th International Multi-Media Modelling Conference - Proceedings, E1-1
An embedded suggestive interface for making home videos
B Adams, S Venkatesh
(2006), Vol. 2006, pp. 2025-2028, 2006 IEEE International Conference on Multimedia and Expo, ICME 2006 - Proceedings, E1-1
N Nguyen, S Venkatesh, H Bui
(2006), pp. 1239-1248, BMVC 2006 - Proceedings of the British Machine Vision Conference 2006, E1-1
Curtin at TRECVID 2006 - Rushes summarization
B Truong, S Venkatesh
(2006), 2006 TREC Video Retrieval Evaluation Notebook Papers, 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, B1-1
A Probabilistic Framework for Extracting Narrative Act Boundaries and Semantics in Motion Pictures
Brett Adams, Svetha Venketesh, Hung Bui, Chitra Dorai
(2005), Vol. 27, pp. 195-213, Multimedia Tools and Applications, 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, 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, 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, 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), Vol. 2005, pp. 22-27, Proceedings - ICMLA 2005: Fourth International Conference on Machine Learning and Applications, E1-1
P Peursum, G West, S Venkatesh
(2005), Vol. I, pp. 82-89, Proceedings of the IEEE International Conference on Computer Vision, 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, 2005 International Conference on Machine Learning and Cybernetics, ICMLC 2005, E1-1
Activity recognition and abnormality detection with the switching hidden semi-Markov model
T Duong, H Bui, D Phung, S Venkatesh
(2005), Vol. I, pp. 838-845, Proceedings - 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005, E1-1
N Nguyen, D Phung, S Venkatesh, H Bui
(2005), Vol. II, pp. 955-960, Proceedings - 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005, E1-1
A probabilistic approach to the anxious home for activity monitoring
G West, S Greenhill, S Venkatesh
(2005), Vol. 1, pp. 335-340, Proceedings - International Computer Software and Applications Conference, E1-1
Boosted Markov networks for activity recognition
T Truyen, H Bui, S Venkatesh
(2005), Vol. 2005, pp. 289-294, Proceedings of the 2005 Intelligent Sensors, Sensor Networks and Information Processing Conference, E1-1
Emergent intertransaction association rules for abnormality detection in intelligent environments
S Lühr, S Venkatesh, G West
(2005), Vol. 2005, pp. 343-347, Proceedings of the 2005 Intelligent Sensors, Sensor Networks and Information Processing Conference, E1-1
Face recognition based on ordinal correlation approach
R Tjahyadi, L Wanquan, S An, S Venkatesh
(2005), Vol. 2005, pp. 349-354, Proceedings of the 2005 Intelligent Sensors, Sensor Networks and Information Processing Conference, E1-1
D Tran, D Phung, H Bui, S Venkatesh
(2005), Vol. 2005, pp. 331-335, Proceedings of the 2005 Intelligent Sensors, Sensor Networks and Information Processing Conference, E1-1
Incorporating contextual audio for an actively anxious smart home
S Moncrieff, S Venkatesh, G West, S Greenhill
(2005), Vol. 2005, pp. 373-378, Proceedings of the 2005 Intelligent Sensors, Sensor Networks and Information Processing Conference, E1-1
Online context recognition in multisensor systems using Dynamic Time Warping
M Ko, G West, S Venkatesh, M Kumar
(2005), Vol. 2005, pp. 283-288, Proceedings of the 2005 Intelligent Sensors, Sensor Networks and Information Processing Conference, E1-1
Spatial activity recognition in a smart home environment using a chemotactic model
D Riedel, S Venkatesh, L Wanquan
(2005), Vol. 2005, pp. 301-306, Proceedings of the 2005 Intelligent Sensors, Sensor Networks and Information Processing Conference, E1-1
Finding the optimal temporal partitioning of video sequences
B Truong, S Venkatesh
(2005), Vol. 2005, pp. 1182-1185, IEEE International Conference on Multimedia and Expo, ICME 2005, E1-1
Injection, detection and repair of aesthetics in home movies
B Adams, S Venkatesh
(2005), Vol. 2005, pp. 4-8, IEEE International Conference on Multimedia and Expo, ICME 2005, E1-1
Persistent audio modelling for background determination
S Moncrieff, S Venkatesh, G West
(2005), Vol. 2005, pp. 4-7, IEEE International Conference on Multimedia and Expo, ICME 2005, 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, Proceedings of the 13th ACM International Conference on Multimedia, MM 2005, 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, Proceedings of the 13th ACM International Conference on Multimedia, MM 2005, E1-1
Discovery of activity structures using the hierarchical hidden Markov model
N Nguyen, S Venkatesh
(2005), BMVC 2005 - Proceedings of the British Machine Vision Conference 2005, E1-1
Dynamic shot suggestion filtering for home video based on user performance
B Adams, S Venkatesh
(2005), pp. 363-366, Proceedings of the 13th ACM International Conference on Multimedia, MM 2005, E1-1
T Duong, D Phung, H Bui, S Venkatesh
(2005), Vol. 2005, pp. 277-282, Proceedings of the 2005 Intelligent Sensors, Sensor Networks and Information Processing Conference, 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
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, 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, C1-1
Using multiple windows to track concept drift
M Lazarescu, S Venkatesh, H Bui
(2004), Vol. 8, pp. 29-59, Intelligent Data Analysis, 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-, ACM Multimedia 2004 - proceedings of the 12th ACM International Conference on Multimedia, 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, E1-1
D Phung, S Venkatesh, H Bui
(2004), Vol. 3, pp. 1605-1608, Proceedings - International Conference on Image Processing, ICIP, E1-1
Human action segmentation via controlled use of missing data in HMMs
P Peursum, H Bui, S Venkatesh, G West
(2004), Vol. 4, pp. 440-445, Proceedings - International Conference on Pattern Recognition, 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, E1-1
Discovering semantics from visualizations of film takes
B Truong, S Venkatesh, C Dorai
(2004), pp. 109-116, Proceedings - 10th International Multimedia Modelling Conference, MMM 2004, E1-1
Segmentation of intentional human gestures for sports video annotation
G Chambers, S Venkatesh, G West, H Bui
(2004), pp. 124-129, Proceedings - 10th International Multimedia Modelling Conference, MMM 2004, E1-1
B Adams, S Venkatesh
(2004), pp. 367-, Proceedings - 10th International Multimedia Modelling Conference, MMM 2004, E1-1
Application of the DCT energy histogram for face recognition
R Tjahyadi, W Liu, S Venkatesh
(2004), pp. 314-319, Proceedings of the Second International Conference on Information Technology and Applications (ICITA 2004), E1-1
IMCE: Integrated media creation environment
B Adams, S Venkatesh, R Jain
(2004), Vol. 2, pp. 835-838, 2004 IEEE International Conference on Multimedia and Expo (ICME), 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, 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, C1-1
Resource-aware speculative prefetching in wireless networks
N Tuah, M Kumar, S Venkatesh
(2003), Vol. 9, pp. 61-72, Wireless Networks, 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, C1-1
Recognising and monitoring high-level behaviours in complex spatial environments
N Nguyen, H Bui, S Venkatesh, G West
(2003), Vol. 2, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, E1-1
Object labelling from human action recognition
P Peursum, S Venkatesh, G West, H Bui
(2003), pp. 399-406, Proceedings of the 1st IEEE International Conference on Pervasive Computing and Communications, PerCom 2003, E1-1
Recognition of human activity through hierarchical stochastic learning
S Lühr, H Bui, S Venkatesh, G West
(2003), pp. 416-422, Proceedings of the 1st IEEE International Conference on Pervasive Computing and Communications, PerCom 2003, E1-1
Using selective memory to track concept drift effectively
M Lazarescu, S Venkatesh
(2003), pp. 14-19, Proceedings of the IASTED International Conference on Intelligent Systems and Control, E1-1
Hierarchical topical segmentation in instructional films based on cinematic expressive functions
D Phung, S Venkatesh, C Dorai
(2003), pp. 287-290, Proceedings of the ACM International Multimedia Conference and Exhibition, E1-1
Weaving stories in digital media: When Spielberg makes home movies
B Adams, S Venkatesh
(2003), pp. 207-210, Proceedings of the ACM International Multimedia Conference and Exhibition, E1-1
Horror film genre typing and scene labeling via audio analysis
S Moncrieff, S Venkatesh, C Dorai
(2003), Vol. 2, pp. II193-II196, Proceedings - IEEE International Conference on Multimedia and Expo, E1-1
Identifying film takes for cinematic analysis
B Truong, S Venkatesh, C Dorai
(2003), Vol. 2, pp. II405-II408, Proceedings - IEEE International Conference on Multimedia and Expo, E1-1
Indexing narrative structure and semantics in motion pictures with a probabilistic framework
B Adams, C Dorai, S Venkatesh, H Bui
(2003), Vol. 2, pp. II453-II456, Proceedings - IEEE International Conference on Multimedia and Expo, E1-1
On the extraction of thematic and dramatic functions of content in educational videos
D Phung, S Venkatesh, C Dorai
(2003), Vol. 2, pp. II449-II452, Proceedings - IEEE International Conference on Multimedia and Expo, E1-1
Using camera motion to identify types of American football plays
M Lazarescu, S Venkatesh
(2003), Vol. 2, pp. II181-II184, Proceedings - IEEE International Conference on Multimedia and Expo, 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, 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, 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, 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, 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, C1-1
A cooperative cache architecture in support of caching multimedia objects in MANETs
W Lau, M Kumar, S Venkatesh
(2002), pp. 56-63, Proceedings of the fifth ACM International Workshop on Wireless Mobile Multimedia, E1-1
Application of computational media aesthetics methodology to extracting color semantics in film
B Truong, S Venkatesh, C Dorai
(2002), pp. 339-342, Proceedings of the ACM International Multimedia Conference and Exhibition, E1-1
High level segmentation of instructional videos based on content density
D Phung, S Venkatesh, C Dorai
(2002), pp. 295-298, Proceedings of the ACM International Multimedia Conference and Exhibition, E1-1
Hierarchical monitoring of people's behaviors in complex environments using multiple cameras
N Nguyen, S Venkatesh, G West, H Bui
(2002), Vol. 16, pp. 13-16, Proceedings - International Conference on Pattern Recognition, E1-1
Hierarchical recognition of intentional human gestures for sports video annotation
G Chambers, S Venkatesh, G West, H Bui
(2002), Vol. 16, pp. 1082-1085, Proceedings - International Conference on Pattern Recognition, E1-1
Narrative structure analysis with education and training videos for E-learning
Q Phungt, C Dorai, S Venkatesh
(2002), Vol. 16, pp. 835-838, Proceedings - International Conference on Pattern Recognition, E1-1
Neighborhood coherence and edge based approaches to film scene extraction
B Truong, S Venkatesh, C Dorai
(2002), Vol. 16, pp. 350-353, Proceedings - International Conference on Pattern Recognition, E1-1
Temporal PDMs for gait classification
E Tassone, G West, S Venkatesh
(2002), Vol. 16, pp. 1065-1068, Proceedings - International Conference on Pattern Recognition, E1-1
On the automatic indexing of cricket using camera motion parameters
M Lazarescu, S Venkatesh, G West
(2002), Vol. 1, pp. 809-812, Proceedings - 2002 IEEE International Conference on Multimedia and Expo, ICME 2002, 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), Vol. 2571, pp. 12-23, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 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
An application of machine learning techniques for the classification of glaucomatous progression
M Lazarescu, A Turpin, S Venkatesh
(2002), Vol. 2396, pp. 243-251, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 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), Vol. 2396, pp. 195-204, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 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), Vol. 1, pp. 281-284, Proceedings - 2002 IEEE International Conference on Multimedia and Expo, ICME 2002, 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
Kim Shearer, Kirrily D. Wong, Svetha Venkatesh
(2001), Vol. 34, pp. 1257-1269, Pattern Recognition, C1-1
Obtaining functional parametric models using active vision strategies
C Lam, G West, S Venkatesh
(2001), Vol. 34, pp. 79-94, Pattern Recognition, 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, 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, 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, C1-1
W Lau, M Kumar, S Venkatesh
(2001), pp. 265-, Proceedings of the Hawaii International Conference on System Sciences, E1-1
Affect computing in film through sound energy dynamics
S Moncrieff, C Dorai, S Venkatesh
(2001), pp. 525-527, Proceedings of the ACM International Multimedia Conference and Exhibition, 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
(2001), IEEE International Conference on Multimedia and Expo, 2001. ICME 2001., 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
Simon Moncrieff, Svetha Venkatesh, Chita Dorai
(2001), pp. 538-545, Advances in Multimedia Information Processing — PCM 2001, E1-1
Automated film rhythm extraction for scene analysis
B Adams, C Dorai, S Venkatesh
(2001), pp. 849-852, Proceedings - IEEE International Conference on Multimedia and Expo, 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 Venkatesch
(2001), IEEE International Conference on Multimedia and Expo, 2001. ICME 2001., E1-1
Determining dramatic intensification via flashing lights in movies
B Truong, S Venkatesh
(2001), pp. 60-63, Proceedings - IEEE International Conference on Multimedia and Expo, E1-1
Effect of speculative prefetching on network load in distributed systems
N Tuah, M Kumar, S Venkatesh
(2001), Proceedings - 15th International Parallel and Distributed Processing Symposium, IPDPS 2001, E1-1
Rapid Similarity Retrieval from Image and Video
Svetha Venkatesh, Horst Bunke, Kim Shearer
(2000), Multimedia Image and Video Processing, 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, C1-1
M Lazarescu, S Venkatesh, G West
(2000), Vol. 13, pp. 315-320, Spatial Vision, C1-1
Semantic data modelling and visualization using Noetica
S Greenhill, S Venkatesh
(2000), Vol. 33, pp. 241-276, Data and Knowledge Engineering, C1-1
Improved fade and dissolve detection for reliable video segmentation
B Truong, C Dorai, S Venkatesh
(2000), Vol. 3, pp. 961-964, IEEE International Conference on Image Processing, E1-1
Novel approach to determining tempo and dramatic story sections in motion pictures
B Adams, C Dorai, S Venkatesh
(2000), Vol. 2, pp. 283-286, IEEE International Conference on Image Processing, E1-1
Performance modelling of speculative prefetching for compound requests in low bandwidth networks
N Tuah, M Kumar, S Venkatesh
(2000), pp. 83-92, Proceedings of the 3rd ACM International Workshop on Wireless Mobile Multimedia (WOWMOM 2000), E1-1
Bayesian networks and decision trees in the diagnosis of female urinary incontinence
M Hunt, B Von Konsky, S Venkatesh, P Petros
(2000), Vol. 1, pp. 551-554, Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings, E1-1
Towards automatic extraction of expressive elements from motion pictures: Tempo
B Adams, C Dorai, S Venkatesh
(2000), pp. 641-644, IEEE International Conference on Multi-Media and Expo, E1-1
New enhancements to cut, fade, and dissolve detection processes in video segmentation
B Truong, C Dorai, S Venkatesh
(2000), pp. 219-227, Proceedings of the ACM International Multimedia Conference and Exhibition, E1-1
Study of shot length and motion as contributing factors to movie tempo
B Adams, C Dorai, S Venkatesh
(2000), pp. 353-355, Proceedings of the ACM International Multimedia Conference and Exhibition, E1-1
A probabilistic framework for tracking in wide-area environments
H Bui, S Venkatesh, G West
(2000), Vol. 15, pp. 702-705, Proceedings-International Conference on Pattern Recognition, E1-1
Automatic genre identification for content-based video categorization
B Truong, S Venkatesh, C Dorai
(2000), Vol. 15, pp. 230-233, Proceedings - International Conference on Pattern Recognition, E1-1
M Mugurel, S Venkatesh, G West
(2000), Vol. 15, pp. 652-655, Proceedings - International Conference on Pattern Recognition, 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), Vol. 1948, pp. 363-370, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 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), Vol. 1876 LNCS, pp. 236-245, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), E1-1
Constructing and navigating personalised views of the Web
S Greenhill, S Venkatesh
(1999), Vol. 35, pp. 679-689, Information Processing and Management, 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, C1-1
Insect-inspired robotic homing
K Weber, S Venkatesh, M Srinivasan
(1999), Vol. 7, pp. 65-97, Adaptive Behavior, 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, C1-1
LEARNING OTHER AGENTS' PREFERENCES IN MULTI-AGENT NEGOTIATION USING THE BAYESIAN CLASSIFIER
H BUI, S VENKATESH, D KIERONSKA
(1999), Vol. 08, pp. 275-293, International Journal of Cooperative Information Systems, 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, C1-1
Empirical study of neighbourhood decay in Kohonen's self organizing map
R Keith-Magee, S Venkatesh, M Takatsuka
(1999), Vol. 3, pp. 1953-1958, Proceedings of the International Joint Conference on Neural Networks, E1-1
Performance model of speculative prefetching in distributed information systems
N Tuah, M Kumar, S Venkatesh
(1999), pp. 75-80, Proceedings of the International Parallel Processing Symposium, IPPS, E1-1
Low-cost interactive active monocular range finder
M Takatsuka, G West, S Venkatesh, T Caelli
(1999), Vol. 1, pp. 444-449, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, E1-1
Detection of setting and subject information in documentary video
K Shearer, S Venkatesh
(1999), Vol. 1, pp. 797-801, International Conference on Multimedia Computing and Systems -Proceedings, E1-1
On the automated interpretation and indexing of American football
M Lazarescu, S Venkatesh, G West, T Caelli
(1999), Vol. 1, pp. 802-806, International Conference on Multimedia Computing and Systems -Proceedings, 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. 697-700, Proceedings of the International Conference on Document Analysis and Recognition, ICDAR, E1-1
The importance of neighbourhood size in self organising systems
R Keith-Magee, S Venkatesh, M Takatsuka
(1999), Vol. 1, pp. 267-272, ICONIP 1999, 6th International Conference on Neural Information Processing - Proceedings, 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), Vol. 1747, pp. 13-23, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 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, C1-1
Noetica: A tool for semantic data modelling
S Greenhill, S Venkatesh
(1998), Vol. 34, pp. 739-760, Information Processing and Management, 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, 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, Proceedings of the 1st ACM International Workshop on Wireless Mobile Multimedia, WOWMOM 1998, 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
A framework for coordination and learning among teams of agents
H Bui, S Venkatesh, D Kieronska
(1998), Vol. 1441, pp. 164-178, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 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
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), Vol. 11, pp. 303-327, International Journal of Pattern Recognition and Artificial Intelligence, B1-1
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, 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, 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, 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, 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, C1-1
Resolution consideration in spatially variant sensors
F Lim, S Venkatesh, G West
(1997), Vol. 15, pp. 901-912, Image and Vision Computing, 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, 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 among team members
H Bui, D Kieronska, S Venkatesh
(1997), Vol. 1342, pp. 116-126, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 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 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, C1-1
Media-independent knowledge representation via UMART: unified mental annotation and retrieval tool
R Smith, D Kieronska, S Venkatesh
(1996), Vol. 2670, pp. 96-107, Proceedings of SPIE - The International Society for Optical Engineering, E1-1
Parallel matrix inversion techniques
K Lau, M Kumar, S Venkatesh
(1996), pp. 515-521, IEEE International Conference on Algorithms and Architectures for Parallel Processing, E1-1
Distributed directory scheme for information access in mobile computers
M Kumar, S Venkatesh, S Panchanathan
(1996), pp. 138-143, Proceedings of the 1996 3rd International Conference on High Performance Computing, HiPC, E1-1
Human saccadic eye movements and tracking by active foveation in log polar space
F Lim, S Venkatesh, G West
(1996), Vol. 2657, pp. 338-349, Proceedings of SPIE - The International Society for Optical Engineering, E1-1
Adaptive depletion for improvement of MPEG video compression
D Tan, S Venkatesh, G West
(1996), Vol. 2668, pp. 154-168, Proceedings of SPIE - The International Society for Optical Engineering, E1-1
Learning other agents' preferences in multiagent negotiation
H Bui, D Kieronska, S Venkatesh
(1996), Vol. 1, pp. 114-119, Proceedings of the National Conference on Artificial Intelligence, E1-1
Insect inspired behaviours for the autonomous control of mobile robots
K Weber, S Venkatesh, M Srinivasan
(1996), Vol. 1, pp. 156-160, Proceedings - International Conference on Pattern Recognition, E1-1
Media-independent information representation and retrieval
D Kieronska, S Venkatesh
(1996), Vol. 2670, pp. 415-425, Proceedings of SPIE - The International Society for Optical Engineering, 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 consideration in spatially variant sensors
E Lim, S Venkatesh, G West
(1996), Vol. 1, pp. 795-799, Proceedings - International Conference on Pattern Recognition, 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
E Lim, G West, S Venkatesh
(1996), Vol. 1, pp. 745-749, Proceedings - International Conference on Pattern Recognition, 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, 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, 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, C1-1
Hierarchical directory-based shared memory architecture
M Kumar, S Venkatesh, D Kieronska, L Patnaik
(1995), Vol. 38, pp. 207-216, Computer Journal, C1-1
S Venkatesh, J Cooper, B White
(1995), Vol. 28, pp. 1127-1134, Pattern Recognition, 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), Vol. 2606, pp. 389-400, Proceedings of SPIE - The International Society for Optical Engineering, 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 1995 - Proceedings of the 3rd Australian and New Zealand Conference on Intelligent Information Systems, 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 1995 - Proceedings of the 3rd Australian and New Zealand Conference on Intelligent Information Systems, E1-1
A multi-agent incremental negotiation scheme for meetings scheduling
H Bui, S Venkatesh, D Kieronska
(1995), pp. 175-180, ANZIIS 1995 - Proceedings of the 3rd Australian and New Zealand Conference on Intelligent Information Systems, 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), Vol. 833 LNAI, pp. 123-132, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 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, C1-1
Emerging hypothesis verification using function-based geometric models and active vision strategies
C Lam, G West, S Venkatesh
(1994), pp. 818-822, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, E1-1
M Robey, G West, S Venkatesh
(1994), pp. 282-290, Proceedings of the IEEE CAD-Based Vision Workshop, 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, C1-1
Extracting natural scales using fourier descriptors
P Rosin, S Venkatesh
(1993), Vol. 26, pp. 1383-1393, Pattern Recognition, 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. 81-87, Proceedings - 4th Annual Conference on AI, Simulation, and Planning in High Autonomy Systems, AIS 1993, E1-1
Deriving ambiguous spatial relations
A Travers, D Kieronska, S Venkatesh
(1993), pp. 47-53, Proceedings - 4th Annual Conference on AI, Simulation, and Planning in High Autonomy Systems, AIS 1993, E1-1
Dynamic threshold determination by local and global edge evaluation
S Venkatesh, P Rosin
(1993), Vol. 1964, pp. 40-50, Proceedings of SPIE - The International Society for Optical Engineering, 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, C1-1
Local energy, the pre-envelope, and filter resolution
S Venkatesh, J Cooper, B White
(1992), Vol. 3, pp. 13-17, Proceedings - International Conference on Pattern Recognition, 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, Proceedings of the 3rd Annual Conference of AI, Simulation and Planning in High Autonomy Systems: Integrating Perception, Planning and Action, 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, Proceedings of the 2nd Annual Conference on AI, Simulation and Planning in High Autonomy Systems: Integrating Qualitative and Quantitative System Knowledge, AIHAS 1991, 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, 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, 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
Annika Kuhl, Tele Tan, Svetha Venkatesh
(), State of the Art in Face Recognition, B1-1
Combining NL processing and video data to query American Football
M Lazarescu, S Venkatesh, G West, T Caelli
(), Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170), E1-1
Classifying and detecting group behaviour from visual surveillance data
R Hosie, S Venkatesh, G West
(), Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170), E1-1
An insect-based approach to robotic homing
K Weber, S Venkatesh, M Srinivasan
(), Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170), E1-1
An efficient least common subgraph algorithm for video indexing
K Shearer, S Venkatesh, H Bunke
(), Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170), E1-1
A two-stage vector quantization approach via self-organizing map
Lixin Xu, W Liu, V Svetha
(), 6th International Conference on Signal Processing, 2002., 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
Linkage PhD student, ARC Linkage - Projects Rnd 2
- 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, A/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 Jeffrey Fiebig, Mr John Fouyaxis, Dr Kit Huckvale, Prof John Grundy, Dr Leonard Hoon, David Varley, Nicole Cockayne, Dr Tanya Petrovich, Dr Hermant Ghayvat, Dr Anju Kissoon Curumsing, Matthew Macfarlane, Ms Sharon Grocott, Prof Deborah Parker, Dr Tom McClean, Dr Scott Barnett, Mr Steven Strange, Prof Jean-Guy Schneider, A/Prof Carsten Rudolph, Prof Nilmini Wickramasinghe, Dr Jordan Vincent, Mr Fernando Escorcia
ARC Industrial Transformation Research Hubs
- 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, A/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
- 2020: $643,125
- 2019: $735,238
- 2018: $675,850
- 2017: $350,057
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
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
- 2021: $11,508
- 2020: $34,526
Other Public Sector Funding
Barwon Health Partnership - Advanced data analytics for care management of chronic disease
Prof Svetha Venkatesh, Prof Dinh Phung
- 2016: $50,000
- 2015: $100,000
- 2014: $20,000
- 2013: $50,000
- 2012: $50,000
Barwon Health/Deakin Health Science Centre
Prof Svetha Venkatesh
- 2015: $130,000
Management flow information extensions to ihealthmap- Software development of iHealthMap
Prof Svetha Venkatesh
- 2016: $40,000
- 2015: $105,000
Deep anomaly detection from multiple sensors and applications in situation awareness
Prof Dinh Phung, Prof Svetha Venkatesh
- 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
- 2018: $149,326
Commercialisation of a unique, multidisciplinary approach to rapid alloy development.
Prof Matthew Barnett, Prof Svetha Venkatesh
- 2020: $51,041
- 2019: $186,459
Defence Applied Al Experiential CoLab
Prof Svetha Venkatesh, A/Prof Sunil Gupta, A/Prof Santu Rana, A/Prof Truyen Tran
- 2020: $873,495
Industry and Other Funding
Assistive Technologies for Autism Support Harnessing Social Media
Prof Svetha Venkatesh, Prof Dinh Phung, Dr Brett Adams, Dr Aneesh Krishna
- 2014: $12,500
- 2013: $80,000
- 2012: $121,013
NICTA Victoria Research Laboratory Scholarship
Prof Pubudu Pathirana, Prof Svetha Venkatesh
- 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
- 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
- 2013: $60,000
- 2012: $70,000
Assistive Tools for Early Intervention in Autism
Prof Svetha Venkatesh, Mrs Silvana Gaglia
- 2017: $80,000
- 2016: $40,000
- 2015: $80,000
Network anomaly detection
Prof Dinh Phung, Prof Svetha Venkatesh
- 2015: $223,580
- 2014: $26,740
Leveraging Social Media for Improving Mental Health
Prof Svetha Venkatesh, Prof Dinh Phung, Ms Trang Thi Minh Pham
- 2017: $3,000
- 2016: $3,000
- 2015: $3,000
COE in Big Data and Machine Learning
Prof Svetha Venkatesh
- 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, A/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 Jeffrey Fiebig, Mr John Fouyaxis, Dr Kit Huckvale, Prof John Grundy, Dr Leonard Hoon, David Varley, Nicole Cockayne, Dr Tanya Petrovich, Dr Hermant Ghayvat, Dr Anju Kissoon Curumsing, Matthew Macfarlane, Ms Sharon Grocott, Prof Deborah Parker, Dr Tom McClean, Dr Scott Barnett, Mr Steven Strange, Prof Jean-Guy Schneider, A/Prof Carsten Rudolph, Prof Nilmini Wickramasinghe, Dr Jordan Vincent, Mr Fernando Escorcia
- 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
- 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
- 2017: $680,000
- 2016: $501,220
Accuracy of Machine Scoring of Fidgety Movements from High Risk Infant Populations
Prof Svetha Venkatesh
- 2018: $67,204
- 2017: $33,602
- 2016: $33,602
Unlocking factors for successful job placement through machine learning
Prof Svetha Venkatesh, Dr Wei Luo
- 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, A/Prof Sunil Gupta, Dr Budhaditya Saha
- 2020: $50,000
- 2018: $100,000
- 2017: $200,000
Identification of Blood RNA Biomarkers to Measure Disease Progression in Parkinson's Disease.
A/Prof Sunil Gupta, Prof Svetha Venkatesh, Dr Thin Nguyen
- 2020: $42,500
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
- 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
- 2019: $70,000
The CRC-P for Advanced Hybrid Batteries
Prof Patrick Howlett, Prof Maria Forsyth, Dr Robert Kerr, Prof Svetha Venkatesh, A/Prof Sunil Gupta, A/Prof Santu Rana
- 2021: $73,895
- 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
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
Tu Dinh Nguyen
Thesis entitled: Structured representation learning from complex data
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
Cheng Li
Thesis entitled: Exploiting side information in Bayesian nonparametric models and their applications
Doctor of Philosophy (Information Technology), School of Information Technology