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Prof Svetha Venkatesh

STAFF PROFILE

Position

CoDirector, A2I2, Alfred Deakin Professor

Faculty

Applied Artificial Intel Inst

Department

A2I2P

Campus

Geelong Waurn Ponds Campus

Contact

Publications

Filter by

2020

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

journal article

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

journal article

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

journal article

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

journal article

Precision psychiatry with immunological and cognitive biomarkers: a multi-domain prediction for the diagnosis of bipolar disorder or schizophrenia using machine learning

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

journal article

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

journal article

Deep in the bowel: highly interpretable neural encoder-decoder networks predict gut metabolites from gut microbiome

V Le, T Quinn, T Tran, S Venkatesh

(2020), Vol. 21, BMC Genomics, London, Eng., C1

journal article

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

journal article

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

journal article

DeepTRIAGE: interpretable and individualised biomarker scores using attention mechanism for the classification of breast cancer sub-types

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

conference

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

conference
2019

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

journal article

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

journal article

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

journal article

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

journal article

Association between area-level socioeconomic status, accessibility and diabetes-related hospitalisations: a cross-sectional analysis of data from Western Victoria, Australia

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

journal article

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

journal article

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

journal article

Optimizing a high-entropy system: software-assisted development of highly hydrophobic surfaces using an amphiphilic polymer

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

journal article

Intelligent sensing to inform and learn (instil): A scalable and governance-aware platform for universal, smartphone-based digital phenotyping for research and clinical applications

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

journal article

Efficient bayesian function optimization of evolving material manufacturing processes

D Rubn 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

journal article

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

Memorizing normality to detect anomaly: Memory-augmented deep autoencoder for unsupervised anomaly detection

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

conference
2018

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

journal article

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

journal article

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

journal article

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

journal article

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

journal article

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

journal article

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

journal article

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

journal article

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

journal article

LTARM: a novel temporal association rule mining method to understand toxicities in a routine cancer treatment

D Nguyen, W Luo, D Phung, S Venkatesh

(2018), Vol. 161, pp. 313-328, Knowledge-based systems, Amsterdam, The Netherlands, C1

journal article

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

Jointly predicting affective and mental health scores using deep neural networks of visual cues on the web

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference
2017

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

journal article

Effective sparse imputation of patient conditions in electronic medical records for emergency risk predictions

B Saha, S Gupta, Q Phung, S Venkatesh

(2017), Vol. 53, pp. 179-206, Knowledge and information systems, London, Eng., C1

journal article

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

journal article

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

journal article

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

journal article

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

journal article

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

journal article

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

journal article

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

journal article

Rapid Bayesian optimisation for synthesis of short polymer fiber materials

C Li, D Rubn 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

journal article

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

journal article

Stability, consistency and performance of distribution entropy in analysing short length heart rate variability (HRV) signal

C Karmakar, R Udhayakumar, P Li, S Venkatesh, M Palaniswami

(2017), Vol. 8, pp. 720-734, Frontiers in Physiology, Lausanne, Switzerland, C1

journal article

Geographic region, socioeconomic position and the utilisation of primary total joint replacement for hip or knee osteoarthritis across western Victoria: a cross-sectional multilevel study of the Australian Orthopaedic Association National Joint Replacement Registry

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

journal article

Latent sentiment topic modelling and nonparametric discovery of online mental health-related communities

B Dao, T Nguyen, S Venkatesh, D Phung

(2017), Vol. 4, pp. 209-231, International journal of data science and analytics, Cham, Switzerland, C1

journal article

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

conference

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

conference

Stable bayesian optimization

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

Prediction of population health indices from social media using kernel-based textual and temporal features

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

conference
2016

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

book chapter

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

book chapter

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

book chapter

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

book chapter

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

book chapter

Learning multi-faceted activities from heterogeneous data with the product space hierarchical Dirichlet processes

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

book chapter

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

journal article

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

journal article

Modelling human preferences for ranking and collaborative filtering: a probabilistic ordered partition approach

T Tran, Q Phung, S Venkatesh

(2016), Vol. 47, pp. 157-188, Knowledge and information systems, New York, N.Y., C1

journal article

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

journal article

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

journal article

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

journal article

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

journal article

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

journal article

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

journal article

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

journal article

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

journal article

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

journal article

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

journal article

Predicting risk of suicide attempt using history of physical illnesses from electronic medical records

C Karmakar, W Luo, T Tran, M Berk, S Venkatesh

(2016), Vol. 3, pp. 1-10, JMIR mental health, Toronto, Ont., C1

journal article

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

journal article

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

journal article

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

journal article

Identification and outcomes of clinical phenotypes in amyotrophic lateral sclerosis/motor neuron disease: Australian National Motor Neuron Disease observational cohort

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

journal article

Randomised controlled trial of an iPad based early intervention for autism: TOBY playpad study protocol

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

journal article

Guidelines for developing and reporting machine learning predictive models in biomedical research : a multidisciplinary view

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

journal article

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

conference

Differentially private multi-task learning

S Rana, S Gupta, 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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

Understanding behavioral differences between short and long-term drinking abstainers from social media

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

conference

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

conference

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

conference

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

conference

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

conference

Cascade Bayesian optimization

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

conference

Achieving stable subspace clustering by post-processing generic clustering results

D Pham, O Arandjelovi?, S Venkatesh

(2016), pp. 2390-2396, IJCNN 2016 : Proceedings of the 2016 International Joint Conference of Neural Networks, Vancouver, B.C., E1

conference

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference
2015

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

book chapter

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

book chapter

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

book chapter

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

book chapter

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

book chapter

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

book chapter

Hierarchical dirichlet process for tracking complex topical structure evolution and its application to autism research literature

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

book chapter

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

book chapter

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

book chapter

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

book chapter

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

book chapter

Learning entry profiles of children with autism from multivariate treatment information using restricted boltzmann machines

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

book chapter

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

journal article

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

journal article

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

journal article

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

journal article

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

journal article

Learning vector representation of medical objects via EMR-driven nonnegative restricted Boltzmann machines (eNRBM)

T Tran, T Nguyen, Q Phung, S Venkatesh

(2015), Vol. 54, pp. 96-105, Journal of biomedical informatics, Amsterdam, The Netherlands, C1

journal article

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

journal article

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

journal article

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

journal article

Is demography destiny? Application of machine learning techniques to accurately predict population health outcomes from a minimal demographic dataset

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

journal article

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

journal article

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

journal article

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

journal article

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

journal article

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

journal article

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

journal article

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

journal article

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

conference

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

conference

Overcoming data scarcity of Twitter: using tweets as bootstrap with application to autism-related topic content analysis

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

What shall i share and with whom? A multi-task learning formulation using multi-faceted task relationships

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

conference

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

conference
2014

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

book chapter

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

book chapter

Stream quantiles via maximal entropy histograms

O Arandjelovi?, 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

book chapter

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

book chapter

Effect of mood, social connectivity and age in online depression community via topic and linguistic analysis

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

book chapter

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

book chapter

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

book chapter

Social reader: Towards browsing the social web

B Adams, D Phung, S Venkatesh

(2014), Vol. 69, pp. 951-990, Multimedia Tools and Applications, C1

journal article

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

journal article

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

journal article

Risk stratification using data from electronic medical records better predicts suicide risks than clinician assessments

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

journal article

Machine-learning prediction of cancer survival: a retrospective study using electronic administrative records and a cancer registry

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

journal article

Predicting unplanned readmission after myocardial infarction from routinely collected administrative hospital data

S Rana, T Tran, W Luo, D Phung, R Kennedy, S Venkatesh

(2014), Vol. 38, pp. 377-382, Australian health review, Melbourne, Vic., C1

journal article

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

journal article

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

journal article

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

journal article

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

journal article

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

conference

Data-mining twitter and the autism spectrum disorder: A Pilot study

A Beykikhoshk, O Arandjelovi?, 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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

Keeping up with innovation: a predictive framework for modeling healthcare data with evolving clinical interventions

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

conference

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

conference
2013

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

journal article

Detection of cross-channel anomalies

D Pham, B Saha, D Phung, S Venkatesh

(2013), Vol. 35, pp. 33-59, Knowledge and Information Systems, C1

journal article

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

journal article

Compressive speech enhancement

S Low, D Pham, S Venkatesh

(2013), Vol. 55, pp. 757-768, Speech Communication, C1

journal article

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

journal article

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

journal article

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

journal article

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

Extraction of latent patterns and contexts from social honest signals using hierarchical Dirichlet processes

T Nguyen, D Phung, S Gupta, S Venkatesh

(2013), pp. 47-55, 2013 IEEE International Conference on Pervasive Computing and Communications, PerCom 2013, E1

conference

Topic model kernel : an empirical study towards probabilistically reduced features for classification

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

conference

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

conference

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

conference

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

conference

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

conference
2012

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

journal article

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

journal article

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

journal article

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

journal article

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

conference

A bayesian nonparametric joint factor model for learning shared and individual subspaces from multiple data sources

S Gupta, D Phung, S Venkatesh

(2012), pp. 200-211, Proceedings of the 12th SIAM International Conference on Data Mining, SDM 2012, E1

conference

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

conference

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

conference

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

conference

Embedded restricted Boltzmann machines for fusion of mixed data types and applications in social measurements analysis

T Tran, D Phung, S Venkatesh

(2012), pp. 1814-1821, FUSION 2012 : Proceedings of the 15th International Conference on Information Fusion, Singapore, E1

conference

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

A slice sampler for restricted hierarchical beta process with applications to shared subspace learning

S Gupta, D Phung, S Venkatesh

(2012), pp. 316-325, Uncertainty in Artificial Intelligence - Proceedings of the 28th Conference, UAI 2012, E1

conference
2011

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

journal article

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

journal article

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

conference

Networking of Multimedia Women Event : 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 Multimedia Conference and Co-Located Workshops, Scottsdale, Ariz., E1-1

conference

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

Mixed-variate restricted boltzmann machines

T Tran, D Phung, S Venkatesh

(2011), Vol. 20, pp. 213-229, Journal of Machine Learning Research, E1-1

conference

Probabilistic models over ordered partitions with applications in document ranking and collaborative filtering

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

conference

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

conference

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

conference

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

conference

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

conference
2010

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

journal article

Bayesian minimax estimation of the normal model with incomplete prior covariance matrix specification

D Pham, H Bui, S Venkatesh

(2010), Vol. 56, pp. 6433-6449, IEEE Transactions on Information Theory, C1-1

journal article

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

journal article

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference
2009

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

book chapter

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

book chapter

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

journal article

Dynamic privacy in public surveillance

S Moncrieff, S Venkatesh, G West

(2009), Vol. 42, pp. 22-28, Computer, C1-1

journal article

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

journal article

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

journal article

Scalable network-wide anomaly detection using compressed data

D Pham, B Saha, M Lazarescu, S Venkatesh

(2009), Perth, W. A., A6-1

research report/technical paper

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

conference

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

conference

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

conference

Flickr hypergroups

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

conference

Distributed audio network for speech enhancement in challenging noise backgrounds

T Khnapfel, 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

conference

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

conference

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

conference

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

conference

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

conference

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

conference
2008

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

journal article

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

journal article

Sensing and using social context

B Adams, D Phung, S Venkatesh

(2008), Vol. 5, ACM Transactions on Multimedia Computing, Communications and Applications, C1-1

journal article

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

journal article

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

Robust learning of discriminative projection for multicategory classification on the Stiefel manifold

D Pham, S Venkatesh

(2008), 26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR, E1-1

conference

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

conference

Adaptive speech enhancement with varying noise backgrounds

T Khnapfel, T Tan, S Venkatesh, S Nordholm, B Igel

(2008), Proceedings - International Conference on Pattern Recognition, E1-1

conference

Boosting performance for 2D Linear Discriminant Analysis via regression

N Nguyen, W Liu, S Venkatesh

(2008), Proceedings - International Conference on Pattern Recognition, E1-1

conference

Context aware privacy in visual surveillance

S Moncrieff, S Venkatesh, G West

(2008), Proceedings - International Conference on Pattern Recognition, E1-1

conference

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

conference

Learning in imbalanced relational data

A Ghanem, S Venkatesh, G West

(2008), Proceedings - International Conference on Pattern Recognition, E1-1

conference

Model-based combined tracking and resolution enhancement

A Kuhl, T Tan, S Venkatesh

(2008), Proceedings - International Conference on Pattern Recognition, E1-1

conference

Ridge regression for Two Dimensional Locality Preserving Projection

N Nguyen, W Liu, S Venkatesh

(2008), Proceedings - International Conference on Pattern Recognition, E1-1

conference

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

conference

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

conference

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

conference
2007

Acquiring critical light points for illumination subspaces of face images by affinity propagation clustering

S An, W Liu, S Venkatesh

(2007), pp. 647-654, Advances in multimedia information processing ? PCM 2007, Berlin, Germany, B1-1

book chapter

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

book chapter

Fast cross-validation algorithms for least squares support vector machine and kernel ridge regression

S An, W Liu, S Venkatesh

(2007), Vol. 40, pp. 2154-2162, Pattern Recognition, C1-1

journal article

Film audio pace

S Moncrieff, S Moncrieff, S Venkatesh, S Venkatesh

(2007), Vol. 3, pp. 296-308, International Journal of Intelligent Systems Technologies and Applications, C1-1

journal article

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

journal article

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

journal article

Recognition of emergent human behaviour in a smart home: A data mining approach

S Lhr, G West, S Venkatesh

(2007), Vol. 3, pp. 95-116, Pervasive and Mobile Computing, C1-1

journal article

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

journal article

Video abstraction: A systematic review and classification

B Truong, S Venkatesh

(2007), Vol. 3, ACM Transactions on Multimedia Computing, Communications and Applications, C1-1

journal article

Robust wifi localization using received signal strength

F Khan, D Phung, S Venkatesh

(2007), [Perth, W. A.], A6-1

research report/technical paper

Calibration of audio-video sensors for multi-modal event indexing

T Khnapfel, 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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference
2006

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

journal article

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

journal article

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

journal article

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

conference

A probabilistic model with parsinomious representation for sensor fusion in recognizing activity in pervasive environment

D Tran, D Phung, H Bui, S Venkatesh

(2006), Vol. 3, pp. 168-172, Proceedings - International Conference on Pattern Recognition, E1-1

conference

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

conference

Human behavior recognition with generic exponential family duration modeling in the hidden semi-Markov model

T Duong, D Phung, H Bui, S Venkatesh

(2006), Vol. 3, pp. 202-207, Proceedings - International Conference on Pattern Recognition, E1-1

conference

Observation-switching linear dynamic systems for tracking humans through unexpected partial occlusions by scene objects

P Peursum, S Venkatesh, G West

(2006), Vol. 4, pp. 929-934, Proceedings - International Conference on Pattern Recognition, E1-1

conference

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

Recognising behaviours of multiple people with hierarchical probabilistic model and statistical data association

N Nguyen, S Venkatesh, H Bui

(2006), pp. 1239-1248, BMVC 2006 - Proceedings of the British Machine Vision Conference 2006, E1-1

conference

Curtin at TRECVID 2006 - Rushes summarization

B Truong, S Venkatesh

(2006), 2006 TREC Video Retrieval Evaluation Notebook Papers, E1-1

conference
2005

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

book chapter

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

journal article

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

journal article

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

journal article

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

journal article

An extended frequent pattern tree for intertransaction association rule mining

S Luhr, G West, S Venkatesh

(2005), Perth, W. A., A6-1

research report/technical paper

Structural identification and segmentation of topical content in educational videos

D Phung, S Venkatesh

(2005), Perth, W. A., A6-1

research report/technical paper

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

conference

Combining image regions and human activity for indirect object recognition in indoor wide-angle views

P Peursum, G West, S Venkatesh

(2005), Vol. I, pp. 82-89, Proceedings of the IEEE International Conference on Computer Vision, E1-1

conference

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

conference

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

conference

Learning and detecting activities from movement trajectories using the hierarchical hidden markov model

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

conference

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

conference

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

conference

Emergent intertransaction association rules for abnormality detection in intelligent environments

S Lhr, S Venkatesh, G West

(2005), Vol. 2005, pp. 343-347, Proceedings of the 2005 Intelligent Sensors, Sensor Networks and Information Processing Conference, E1-1

conference

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

conference

Factored State-Abstract Hidden Markov Models for activity recognition using pervasive multi-modal sensors

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

Efficient Coxian duration modelling for activity recognition in smart environments with the hidden semi-Markov model

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

conference

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

conference
2004

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

book chapter

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

book chapter

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

book chapter

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

book chapter

Content structure discovery in educational videos using shared structures in the hierarchical hidden Markov models

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

book chapter

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

book chapter

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

book chapter

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

journal article

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

journal article

Using multiple windows to track concept drift

M Lazarescu, S Venkatesh, H Bui

(2004), Vol. 8, pp. 29-59, Intelligent Data Analysis, C1-1

journal article

Duration abnormality detection in sequences of human activity

S Luhr, S Venkatesh, G West, H Bui

(2004), Perth, W. A., A6-1

research report/technical paper

Human action recognition with an incomplete real-time pose skeleton

P Peursum, H Bui, S Venkatesh, G West

(2004), Perth, W. A., A6-1

research report/technical paper

Between context-aware media capture and multimedia content analysis - Where do we find the promised land?

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

conference

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

conference

Automatically learning structural units in educational videos with the hierarchical hidden markov models

D Phung, S Venkatesh, H Bui

(2004), Vol. 3, pp. 1605-1608, Proceedings - International Conference on Image Processing, ICIP, E1-1

conference

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

conference

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

conference

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

conference

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

conference

Taming the roving camera: A framework for creating professional home movies through narrative and cinesthetic elements

B Adams, S Venkatesh

(2004), pp. 367-, Proceedings - 10th International Multimedia Modelling Conference, MMM 2004, E1-1

conference

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

conference

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

conference

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

conference
2003

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

journal article

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

journal article

Resource-aware speculative prefetching in wireless networks

N Tuah, M Kumar, S Venkatesh

(2003), Vol. 9, pp. 61-72, Wireless Networks, C1-1

journal article

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

journal article

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

conference

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

conference

Recognition of human activity through hierarchical stochastic learning

S Lhr, 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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference
2002

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

book chapter

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

book chapter

Formulating film tempo

B Adams, C Dorai, S Venkatesh

(2002), pp. 57-81, Media computing : computational media aesthetics, Dordrecht, The Netherlands, B1-1

book chapter

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

journal article

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

journal article

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

journal article

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

journal article

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

journal article

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

A generalised cost-aware caching scheme for caching continuous media objects in best-effort network environments

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference
2001

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

journal article

Obtaining functional parametric models using active vision strategies

C Lam, G West, S Venkatesh

(2001), Vol. 34, pp. 79-94, Pattern Recognition, C1-1

journal article

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

journal article

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

journal article

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

journal article

A flexible receiver-driven cache replacement scheme for continuous media objects in best-effort networks

W Lau, M Kumar, S Venkatesh

(2001), pp. 265-, Proceedings of the Hawaii International Conference on System Sciences, E1-1

conference

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference
2000

Rapid Similarity Retrieval from Image and Video

Svetha Venkatesh, Horst Bunke, Kim Shearer

(2000), Multimedia Image and Video Processing, B1-1

book chapter

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

journal article

Learning about dynamic scenes

M Lazarescu, S Venkatesh, G West

(2000), Vol. 13, pp. 315-320, Spatial Vision, C1-1

journal article

Semantic data modelling and visualization using Noetica

S Greenhill, S Venkatesh

(2000), Vol. 33, pp. 241-276, Data and Knowledge Engineering, C1-1

journal article

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

On the incremental learning and recognition of the pattern of movement of multiple labelled objects in dynamic scenes

M Mugurel, S Venkatesh, G West

(2000), Vol. 15, pp. 652-655, Proceedings - International Conference on Pattern Recognition, E1-1

conference

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference
1999

Constructing and navigating personalised views of the Web

S Greenhill, S Venkatesh

(1999), Vol. 35, pp. 679-689, Information Processing and Management, C1-1

journal article

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

journal article

Insect-inspired robotic homing

K Weber, S Venkatesh, M Srinivasan

(1999), Vol. 7, pp. 65-97, Adaptive Behavior, C1-1

journal article

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

journal article

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

journal article

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

journal article

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

Schematics and 3d object interpretation using symbolic representation and distributed matching strategies

M Takatsuka, T Caelli, G West, S Venkatesh

(1999), GREC'99 : Third International Workshop on Graphics Recognition, Jaipur, India, E1-1

conference

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference
1998

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

book chapter

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

book chapter

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

journal article

Noetica: A tool for semantic data modelling

S Greenhill, S Venkatesh

(1998), Vol. 34, pp. 739-760, Information Processing and Management, C1-1

journal article

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

journal article

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

conference

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

conference

Rapid isomorphism detection

K Shearer, S Venkatesh

(1998), pp. 266-271, International Conference on Optimisation and Applications, Perth, W.A., E1-1

conference

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

conference

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

conference

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

conference

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

conference
1997

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

book chapter

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

book chapter

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

book chapter

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

journal article

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

journal article

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

journal article

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

journal article

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

journal article

Resolution consideration in spatially variant sensors

F Lim, S Venkatesh, G West

(1997), Vol. 15, pp. 901-912, Image and Vision Computing, C1-1

journal article

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

journal article

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

journal article

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference
1996

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

journal article

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference
1995

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

book chapter

Investigation into the use of physical modeling for the prediction of various feature types visible from different viewpoints

M Robey, G West, S Venkatesh

(1995), Vol. 61, pp. 417-429, Computer Vision and Image Understanding, C1-1

journal article

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

journal article

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

journal article

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

journal article

Hierarchical directory-based shared memory architecture

M Kumar, S Venkatesh, D Kieronska, L Patnaik

(1995), Vol. 38, pp. 207-216, Computer Journal, C1-1

journal article

Local energy and pre-envelope

S Venkatesh, J Cooper, B White

(1995), Vol. 28, pp. 1127-1134, Pattern Recognition, C1-1

journal article

Spatial reasoning via active observation

S Venkatesh, D Kieronska, S Smith

(1995), Vol. 9, pp. 495-524, Applied artificial intelligence, Philadelphia, Pa., C1-1

journal article

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

conference

Indexing of multimedia data

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

An evading and hiding agent

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

conference

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

conference

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

conference

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

conference

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

conference
1994

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

book chapter

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

book chapter

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

journal article

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

conference

Investigation into the use of physical modelling for the prediction of various feature types visible from different view points

M Robey, G West, S Venkatesh

(1994), pp. 282-290, Proceedings of the IEEE CAD-Based Vision Workshop, E1-1

conference

Indexing of video data

D Kieronska, S Venkatesh

(1994), pp. 230-239, Workshop on spatial and temporal Interaction : representation and reasoning, Singapore, E1-1

conference

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

conference

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

conference

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

conference

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

conference

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

conference
1993

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

journal article

Extracting natural scales using fourier descriptors

P Rosin, S Venkatesh

(1993), Vol. 26, pp. 1383-1393, Pattern Recognition, C1-1

journal article

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

conference

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

conference

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

conference

Predicting object features due to specularity for a general purpose model based 3D object recognition system

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference
1992

Edge evaluation using necessary components

S Venkatesh, L Kitchen

(1992), Vol. 54, pp. 23-30, CVGIP: Graphical Models and Image Processing, C1-1

journal article

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference
1991

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference
1990

On the classification of image features

S Venkatesh, R Owens

(1990), Vol. 11, pp. 339-349, Pattern Recognition Letters, C1-1

journal article

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

conference
1989

Edge detection is a projection

R Owens, S Venkatesh, J Ross

(1989), Vol. 9, pp. 233-244, Pattern Recognition Letters, C1-1

journal article

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

conference
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A Model-based Approach for Combined Tracking and Resolution Enhancement of Faces in Low Resolution Video

Annika Kuhl, Tele Tan, Svetha Venkatesh

(), State of the Art in Face Recognition, B1-1

book chapter

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

conference

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

conference

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

conference

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

conference

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

conference

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 Aneesh Krishna, Dr Brett Adams

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 Dinh Phung, Prof Svetha Venkatesh, 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, Prof John Grundy, Dr Kit Huckvale, David Varley, Dr Leonard Hoon, Nicole Cockayne, Dr Tanya Petrovich, Dr Hermant Ghayvat, Dr Anju Kissoon Curumsing, Matthew Macfarlane, Dr Scott Barnett, Ms Sharon Grocott, Prof Deborah Parker, Dr Tom McClean, Mr Steven Strange, Prof Jean-Guy Schneider, Prof Nilmini Wickramasinghe, A/Prof Carsten Rudolph, Mr Fernando Escorcia, Dr Jordan Vincent

ARC Industrial Transformation Research Hubs

  • 2020: $316,808
  • 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: $540,225
  • 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

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: $773,495

Industry and Other Funding

Assistive Technologies for Autism Support Harnessing Social Media

Prof Svetha Venkatesh, Prof Dinh Phung, Dr Aneesh Krishna, Dr Brett Adams

  • 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, Prof John Grundy, Dr Kit Huckvale, David Varley, Dr Leonard Hoon, Nicole Cockayne, Dr Tanya Petrovich, Dr Hermant Ghayvat, Dr Anju Kissoon Curumsing, Matthew Macfarlane, Dr Scott Barnett, Ms Sharon Grocott, Prof Deborah Parker, Dr Tom McClean, Mr Steven Strange, Prof Jean-Guy Schneider, Prof Nilmini Wickramasinghe, A/Prof Carsten Rudolph, Mr Fernando Escorcia, Dr Jordan Vincent

  • 2020: $241,875
  • 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: $21,250

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

  • 2020: $95,314

Supervisions

Principal Supervisor
2016

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

Co-supervisor
2016

Iman Kamkar

Thesis entitled: Building Stable Predictive Models for Healthcare Applications: A Data-Driven Approach

Doctor of Philosophy (Information Technology), School of Information Technology

Associate Supervisor
2020

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

2019

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

2018

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

2017

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

2016

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

2015

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