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Prof Svetha Venkatesh

STAFF PROFILE

Position

Alfred Deakin Professor

Faculty

Faculty of Sci Eng & Built Env

Department

Patt Recogntn & Data Analytics

Campus

Geelong Waurn Ponds Campus

Contact

Publications

Filter by

2016

Data clustering using side information dependent Chinese restaurant processes

Mr Cheng Li, Dr Santu Rana, Prof Svetha Venkatesh, Prof Dinh Phung

(2016), Vol. 47, pp. 463-488, Knowledge and information systems, Berlin, Germany, C1

journal

Multiple task transfer learning with small sample sizes

Dr Budhaditya Saha, Dr Sunil Gupta, Prof Dinh Phung, Prof Svetha Venkatesh

(2016), Vol. 46, pp. 315-342, Knowledge and information systems, Berlin, Germany, C1

journal

Nonparametric discovery of movement patterns from accelerometer signals

Thuong Nguyen, Dr Sunil Gupta, Prof Svetha Venkatesh, Prof Dinh Phung

(2016), Vol. 70, pp. 52-58, Pattern recognition letters, Amsterdam, The Netherlands, C1

journal

Stabilizing l1-norm prediction models by supervised feature grouping

Mr Iman Kamkar, Dr Sunil Gupta, Prof Dinh Phung, Prof Svetha Venkatesh

(2016), Vol. 59, pp. 149-168, Journal of biomedical informatics, Amsterdam, The Netherlands, C1

journal

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

Dr Truyen Tran, Prof Dinh Phung, Prof Svetha Venkatesh

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

journal

Streaming variational inference for dirichlet process mixtures

Prof Dinh Phung, Prof Svetha Venkatesh

(2016), pp. 237-252, ACML 2015: Proceedings of the 7th Asian Conference on Machine Learning, Cambridge, Ma., E1

conference

Differentially private multi-task learning

Dr Sunil Gupta, Dr Santu Rana, Prof Svetha Venkatesh

(2016), pp. 101-113, Intelligence and security informatics : 11th Pacific Asia workshop, PAISI 2016 Auckland, New Zealand, April 19, 2016 proceedings, Berlin, Germany, B1

chapter

Toxicity prediction in cancer using multiple instance learning in a multi-task framework

Mr Cheng Li, Dr Sunil Gupta, Dr Santu Rana, Dr Wei Luo, Prof Svetha Venkatesh, Prof David Ashley, Prof Dinh Phung

(2016), 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

chapter

Privacy aware K-means clustering with high utility

Mr Thanh Dai Nguyen, Dr Sunil Gupta, Dr Santu Rana, Prof Svetha Venkatesh

(2016), 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

chapter

Flexible transfer learning framework for bayesian optimisation

Tinu Joy, Dr Santu Rana, Dr Sunil Gupta, Prof Svetha Venkatesh

(2016), 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

chapter

DeepCare: a deep dynamic memory model for predictive medicine

Ms Trang Thi Minh Pham, Dr Truyen Tran, Prof Dinh Phung, Prof Svetha Venkatesh

(2016), pp. 30-41, Advances in knowledge discovery and data mining : 19th Pacific-Asia Conference, PAKDD 2015, Ho Chi Minh City, Vietnam, May 19-22, 2015, proceedings, New York, N.Y., B1

chapter

Graph-induced restricted Boltzmann machines for document modeling

Dr Tu Nguyen, Dr Truyen Tran, Prof Dinh Phung, Prof Svetha Venkatesh

(2016), Vol. 328, pp. 60-75, Information sciences, Amsterdam, The Netherlands, C1

journal

Consistency of the Health of the Nation Outcome Scales (HoNOS) at inpatient-to-community transition

Dr Wei Luo, A/Prof Richard Harvey, Dr Truyen Tran, Prof Dinh Phung, Prof Svetha Venkatesh, A/Prof Jason Connor

(2016), Vol. 6, pp. 1-6, BMJ open, London, Eng., C1

journal

Hierarchical Bayesian nonparametric models for knowledge discovery from electronic medical records

Mr Cheng Li, Dr Santu Rana, Prof Dinh Phung, Prof Svetha Venkatesh

(2016), Vol. 99, pp. 168-182, Knowledge-based systems, Amsterdam, The Netherlands, C1

journal

Scalable nonparametric Bayesian multilevel clustering

Viet Huynh, Prof Dinh Phung, Prof Svetha Venkatesh, Xuan Long Nguyen, Matt Hoffman, Hung Hai Bui

(2016), pp. 289-298, UAI 2016: Proceedings of the 32nd Conference on Uncertainty in Artificial Intelligence, Corvallis, Or., E1

conference

Neural choice by elimination via highway networks

Dr Truyen Tran, Prof Dinh Phung, Prof Svetha Venkatesh

(2016), 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

chapter

Screening for post 32-week preterm birth risk: how helpful is routine perinatal data collection?

Dr Wei Luo, Miss Emily Huning, Dr Truyen Tran, Prof Dinh Phung, Prof Svetha Venkatesh

(2016), Vol. 2, pp. 1-15, Heliyon, Amsterdam, The Netherlands, C1

journal

Ageing, chronic disease and injury: a study in western Victoria (Australia)

Mr Amber Sajjad, Dr Kara Holloway, A/Prof Mark Kotowicz, Prof Trish Livingston, Dr Mustafa Khasraw, Dr Sharon Hakkennes, Prof Trisha Dunning, Capr Susan Brumby, Prof Richard Page, Prof Daryl Pedler, Dr Alasdair Sutherland, Prof Svetha Venkatesh, Dr Sharon Brennan-Olsen, A/Prof Lana Williams, Prof Julie Pasco

(2016), Vol. 5, pp. 81-86, Journal of public health research, Pavia, Italy, C1

journal

Forecasting daily patient outflow from a ward having no real-time clinical data

Mr Shivapratap Gopakumar, Dr Truyen Tran, Dr Wei Luo, Dinh Phung, Prof Svetha Venkatesh

(2016), Vol. 4, pp. 1-16, JMIR medical informatics, Toronto, Ont., C1

journal

Collaborative filtering via sparse Markov random fields

Dr Truyen Tran, Dinh Phung, Prof Svetha Venkatesh

(2016), Vol. 369, pp. 221-237, Information sciences, Amsterdam, The Netherlands, C1

journal

A new transfer learning framework with application to model-agnostic multi-task learning

Dr Sunil Gupta, Dr Santu Rana, Dr Budhaditya Saha, Prof Dinh Phung, Prof Svetha Venkatesh

(2016), Vol. 49, pp. 933-973, Knowledge and information systems, London, England, C1

journal

A framework for classifying online mental health related communities with an interest in depression

Dr Budhaditya Saha, Dr Thin Nguyen, Prof Dinh Phung, Prof Svetha Venkatesh

(2016), Vol. 20, pp. 1008-1015, IEEE journal of biomedical and health informatics, Piscataway, N.J., C1

journal

Multi-task transfer learning for in hospital-death prediction for ICU patients

Dr Chandan Karmakar, Dr Budhaditya Saha, Prof Marimuthu Palaniswami, Prof Svetha Venkatesh

(2016), pp. 3321-3324, EMBC 2016: Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Piscataway, N.J., E1

conference

Preterm birth prediction : deriving stable and interpretable rules from high dimensional data

Dr Truyen Tran, Dr Wei Luo, Prof Dinh Phung, Prof Jonathan Morris, Kristen Rickard, Prof Svetha Venkatesh

(2016), pp. 1-13, MLHC 2016 : Proceedings on Conference on Machine Learning in Healthcare, Los Angeles, Calif., E1

conference

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

Dr Chandan Karmakar, Dr Wei Luo, Dr Truyen Tran, Prof Michael Berk, Prof Svetha Venkatesh

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

journal

Discovering latent affective dynamics among individuals in online mental health-related communities

Mr Bo Duy Dao, Dr Thin Nguyen, Prof Svetha Venkatesh, Dinh Phung

(2016), pp. 473-478, ICME 2016 : Proceedings of the IEEE Multimedia and Expo International Conference, Piscataway, N. J., E1

conference

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

Joanna Granich, Alena Dass, Miss Margherita Busacca, Dennis W Moore, Angelika Anderson, Prof Svetha Venkatesh, Dr Thi Duong, Amanda Richdale, David Trembath, Darin Cairns, Wendy Marshall, Tania Rodwell, Madeleine Rayner, Prof Andrew Whitehouse

(2016), Vol. 16, pp. 1-12, BMC pediatrics, London, Eng., C1

journal

CCTV scene perspective distortion estimation from low-level motion features

Dr Ognjen Arandjelovic, Duc-Son Pham, Prof Svetha Venkatesh

(2016), Vol. 26, pp. 939-949, IEEE transactions on circuits and systems for video technology, Piscataway, N.J., C1

journal

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

Paul Talman, Dr Thi Duong, Susan Mathers, Prof Svetha Venkatesh, Robert Henderson, Dominic Rowe, David Schultz, Dr Robert Edis, Merrilee Needham, Richard macdonnell, Pamela McCombe, Carol Birks, Matthew Kiernan

(2016), Vol. 6, pp. 1-8, BMJ open, London, Eng., C1

journal

Dirichlet process mixture models with pairwise constraints for data clustering

Mr Cheng Li, Dr Santu Rana, Prof Dinh Phung, Prof Svetha Venkatesh

(2016), Vol. 3, pp. 205-223, Annals of data science, Berlin, Germany, C1

journal

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

Dr Wei Luo, Prof Dinh Phung, Dr Truyen Tran, Dr Sunil Gupta, Dr Santu Rana, Dr Chandan Karmakar, Dr Alistair Shilton, Prof John Yearwood, Nevenka Dimitrova, Tu Bao Ho, Prof Svetha Venkatesh, Prof Michael Berk

(2016), Vol. 18, pp. 1-10, Journal of medical internet research, Toronto, Ont., C1

journal
2015

Stabilized sparse ordinal regression for medical risk stratification

Dr Truyen Tran, Prof Dinh Phung, Dr Wei Luo, Prof Svetha Venkatesh

(2015), Vol. 43, pp. 555-582, Knowledge and information systems: an international journal, Berlin, Germany, C1

journal

TOBY play-pad application to teach children with ASD – a pilot trial

Dennis W Moore, Prof Svetha Venkatesh, Angelika Anderson, Dr Stewart Greenhill, Prof Dinh Phung, Dr Thi Duong, Darin Cairns, Wendy Marshall, Prof Andrew Whitehouse

(2015), Vol. 18, pp. 213-217, Developmental neurorehabilitation, Oxford, Eng., C1

journal

Stabilizing high-dimensional prediction models using feature graphs

Mr Shivapratap Gopakumar, Dr Truyen Tran, Dr Tu Nguyen, Prof Dinh Phung, Prof Svetha Venkatesh

(2015), Vol. 19, pp. 1044-1052, IEEE journal of biomedical and health informatics, Champaign, III., C1

journal

Tensor-variate restricted Boltzmann machines

Dr Tu Nguyen, Dr Truyen Tran, Prof Dinh Phung, Prof Svetha Venkatesh

(2015), pp. 2887-2893, AAAI 2015: The Proceedings of the 29th AAAI Conference on Artificial Intelligence, Palo Alto, Calif., E1

conference

Bayesian nonparametric approaches to abnormality detection in video surveillance

Dr Tien Vu Nguyen, Prof Dinh Phung, Duc-Son Pham, Prof Svetha Venkatesh

(2015), Vol. 2, pp. 21-41, Annals of data science, Berlin, Germany, C1

journal

A predictive framework for modeling healthcare data with evolving clinical interventions

Dr Santu Rana, Dr Sunil Gupta, Prof Dinh Phung, Prof Svetha Venkatesh

(2015), Vol. 8, pp. 162-182, Statistical analysis and data mining, London, Eng., C1

journal

Efficient and accurate set-based registration of time-separated aerial images

Dr Ognjen Arandjelovic, Dr Sonny Pham, Prof Svetha Venkatesh

(2015), Vol. 48, pp. 3466-3476, Pattern recognition, Amsterdam, The Netherlands, C1

journal

Detection of dynamic background due to swaying movements from motion features

Dr Sonny Pham, Dr Ognjen Arandjelovic, Prof Svetha Venkatesh

(2015), Vol. 24, pp. 332-344, IEEE transactions on image processing, Piscataway, N.J., C1

journal

Mixed-norm sparse representation for multi view face recognition

Mr Xin Zhang, Dr Sonny Pham, Prof Svetha Venkatesh, Wanquan Liu, Prof Dinh Phung

(2015), Vol. 48, pp. 2935-2946, Pattern recognition, Amsterdam, The Netherlands, C1

journal

Improved risk predictions via sparse imputation of patient conditions in electronic medical records

Dr Budhaditya Saha, Dr Sunil Gupta, Prof Svetha Venkatesh

(2015), pp. 1-10, DSAA 2015: IEEE International Conference on Data Science and Advanced Analytics, Piscataway, N.J., E1

conference

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

Dr Pratibha Vellanki, Prof Dinh Phung, Dr Thi Duong, Prof Svetha Venkatesh

(2015), 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

chapter

Exploiting feature relationships towards stable feature selection

Mr Iman Kamkar, Dr Sunil Gupta, Prof Dinh Phung, Prof Svetha Venkatesh

(2015), pp. 1-10, DSAA 2015: IEEE International Conference on Data Science and Advanced Analytics, Piscataway, N.J., E1

conference

Differentially private random forest with high utility

Dr Santu Rana, Dr Sunil Gupta, Prof Svetha Venkatesh

(2015), pp. 955-960, ICDM 2015: Proceedings of the 15th IEEE International Conference on Data Mining, Piscataway, N.J., E1

conference

Autism blogs: expressed emotion, language styles and concerns in personal and community settings

Dr Thin Nguyen, Dr Thi Duong, Prof Svetha Venkatesh, Prof Dinh Phung

(2015), Vol. 6, pp. 312-323, IEEE transactions on affective computing, Piscataway, N.J., C1

journal

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

Dr Truyen Tran, Dr Tu Nguyen, Prof Dinh Phung, Prof Svetha Venkatesh

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

journal

Learning conditional latent structures from multiple data sources

Viet Huynh, Prof Dinh Phung, Long Nguyen, Prof Svetha Venkatesh, Hung Hai Bui

(2015), pp. 343-354, Advances in knowledge discovery and data mining 19th Pacific-Asia Conference, PAKDD 2015, Ho Chi Minh City, Vietnam, May 19-22, 2015, Proceedings, Part I, Berlin, Germany, B1

chapter

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

Dr Adham Beykikhoshk, Dr Ognjen Arandjelovic, Prof Svetha Venkatesh, Prof Dinh Phung

(2015), pp. 550-562, Advances in knowledge discovery and data mining 19th Pacific-Asia Conference, PAKDD 2015, Ho Chi Minh City, Vietnam, May 19-22, 2015, Proceedings, Part I, Berlin, Germany, B1

chapter

Fast one-class support vector machine for novelty detection

Trung Le, Prof Dinh Phung, Mr Khanh Dang Kim Nguyen, Prof Svetha Venkatesh

(2015), pp. 189-200, Advances in knowledge discovery and data mining 19th Pacific-Asia Conference, PAKDD 2015, Ho Chi Minh City, Vietnam, May 19-22, 2015, Proceedings, Part I, Berlin, Germany, B1

chapter

Continuous discovery of co-location contexts from Bluetooth data

Mr Thuong Cong Nguyen, Dr Sunil Gupta, Prof Svetha Venkatesh, Prof Dinh Phung

(2015), Vol. 16, pp. 286-304, Pervasive and mobile computing, Amsterdam, The Netherlands, C1

journal

Collaborating differently on different topics: a multi-relational approach to multi-task learning

Dr Sunil Gupta, Dr Santu Rana, Prof Dinh Phung, Prof Svetha Venkatesh

(2015), pp. 303-316, Advances in knowledge discovery and data mining 19th Pacific-Asia Conference, PAKDD 2015, Ho Chi Minh City, Vietnam, May 19-22, 2015, Proceedings, Part I, Berlin, Germany, B1

chapter

A Bayesian nonparametric approach to multilevel regression

Dr Tien Vu Nguyen, Prof Dinh Phung, Prof Svetha Venkatesh, Hung Hai Bui

(2015), pp. 330-342, Advances in knowledge discovery and data mining, Berlin, Germany, B1

chapter

Understanding toxicities and complications of cancer treatment: a data mining approach

Dang Nguyen, Dr Wei Luo, Prof Dinh Phung, Prof Svetha Venkatesh

(2015), 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

chapter

Stable feature selection with support vector machines

Mr Iman Kamkar, Dr Sunil Gupta, Prof Dinh Phung, Prof Svetha Venkatesh

(2015), 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

chapter

The adaptable buffer algorithm for high quantile estimation in non-stationary data streams

Dr Ognjen Arandjelovic, Dr Sonny Pham, Prof Svetha Venkatesh

(2015), pp. 1-7, IJCNN 2015: Proceedings of the International Joint Conference on Neural Networks, Piscataway, N.J., E1

conference

Nonparametric discovery of online mental health-related communities

Mr Duy Bo Dao, Dr Thin Nguyen, Prof Svetha Venkatesh, Prof Dinh Phung

(2015), pp. 1-10, DSAA 2015: Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, Piscataway, N.J., E1

conference

Two maximum entropy-based algorithms for running quantile estimation in nonstationary data streams

Dr Ognjen Arandjelovic, Dr Sonny Pham, Prof Svetha Venkatesh

(2015), Vol. 25, pp. 1469-1479, IEEE transactions on circuits and systems for video technology, Piscataway, N.J., C1

journal

Groupwise registration of aerial images

Dr Ognjen Arandjelovic, Dr Sonny Pham, Prof Svetha Venkatesh

(2015), pp. 2133-2139, IJCAI 2015: Proceedings of the 24th International Joint Conference on Artificial Intelligence, Palo Alto, Calif., E1

conference

Visual object clustering via mixed-norm regularization

Mr Xin Zhang, Dr Sonny Pham, Prof Dinh Phung, Wanquan Liu, Dr Budhaditya Saha, Prof Svetha Venkatesh

(2015), pp. 1030-1037, WACV 2015: Proceedings of the 15th IEEE Winter Conference on Applications of Computer Vision, Piscataway, N.J., E1

conference

Small-variance asymptotics for bayesian nonparametric models with constraints

Mr Cheng Li, Dr Santu Rana, Prof Dinh Phung, Prof Svetha Venkatesh

(2015), pp. 92-105, Advances in knowledge discovery and data mining 19th Pacific-Asia Conference, PAKDD 2015, Ho Chi Minh City, Vietnam, May 19-22, 2015, Proceedings, Part II, Berlin, Germany, B1

chapter

Stabilizing sparse cox model using statistic and semantic structures in electronic medical records

Mr Shivapratap Gopakumar, Dr Tu Nguyen, Dr Truyen Tran, Prof Dinh Phung, Prof Svetha Venkatesh

(2015), pp. 331-343, Advances in knowledge discovery and data mining 19th Pacific-Asia Conference, PAKDD 2015, Ho Chi Minh City, Vietnam, May 19-22, 2015, Proceedings, Part II, Berlin, Germany, B1

chapter

Prediciton of emergency events: a multi-task multi-label learning approach

Dr Budhaditya Saha, Dr Sunil Gupta, Prof Svetha Venkatesh

(2015), pp. 226-238, Advances in knowledge discovery and data mining 19th Pacific-Asia Conference, PAKDD 2015, Ho Chi Minh City, Vietnam, May 19-22, 2015, Proceedings, Part I, Berlin, Germany, B1

chapter

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

Dr Sunil Gupta, Dr Santu Rana, Prof Dinh Phung, Prof Svetha Venkatesh

(2015), pp. 703-711, SDM 2015: Proceedings of the 15th SIAM International Conference on Data Mining, Vancouver, British Columbia, E1

conference

Using Twitter to learn about the autism community

Dr Adham Beykikhoshk, Dr Ognjen Arandjelovic, Prof Dinh Phung, Prof Svetha Venkatesh, Adj/Prof Terry Caelli

(2015), Vol. 5, pp. 1-17, Social network analysis and mining, New York, N.Y., C1

journal

Differentiating sub-groups of online depression-related communities using textual cues

Dr Thin Nguyen, Bridianne O Dea, Mark Larsen, Prof Dinh Phung, Prof Svetha Venkatesh, Helen M Christensen

(2015), pp. 216-224, Web Information Systems Engineering ¿ WISE 2015, New York, N.Y., B1

chapter

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

Dr Adham Beykikhoshk, Dr Ognjen Arandjelovic, Prof Dinh Phung, Prof Svetha Venkatesh

(2015), pp. 1354-1361, ASONAM 2015: Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, New York, N.Y., E1

conference

Multi-view subspace clustering for face images

Mr Xin Zhang, Prof Dinh Phung, Prof Svetha Venkatesh, Duc Son Pham, Wanquan Liu

(2015), pp. 1-8, DICTA 2015: Proceedings of the 2015 International Conference on Digital Image Computing: Techniques and Applications, Piscataway, N. J., E1

conference

Topic model kernel classification with probabilistically reduced features

Dr Tien Vu Nguyen, Prof Dinh Phung, Prof Svetha Venkatesh

(2015), Vol. 13, pp. 323-340, Journal of data science, New York, N.Y., C1

journal

Web search activity data accurately predict population chronic disease risk in the USA

Dr Thin Nguyen, Dr Truyen Tran, Dr Wei Luo, Dr Sunil Gupta, Dr Santu Rana, Prof Dinh Phung, Dr Melanie Nichols, Dr Lynne Millar, Prof Svetha Venkatesh, Prof Steven Allender

(2015), Vol. 69, pp. 693-699, Journal of epidemiology and community health, London, Eng., C1

journal

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

Dr Wei Luo, Dr Thin Nguyen, Dr Melanie Nichols, Dr Truyen Tran, Dr Santu Rana, Dr Sunil Gupta, Prof Dinh Phung, Prof Svetha Venkatesh, Prof Steven Allender

(2015), Vol. 10, pp. 1-13, PLoS One, San Francisco, Calif., C1

journal

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

Mr Thanh Binh Nguyen, Dr Tien Vu Nguyen, Prof Svetha Venkatesh, Prof Dinh Phung

(2015), pp. 128-140, Trends and applications in knowledge discovery and data mining, Berlin, Germany, B1

chapter
2014

Social reader: towards browsing the social web

Brett Adams, Prof Dinh Phung, Prof Svetha Venkatesh

(2014), Vol. 69, pp. 951-990, Multimedia tools and applications, Secaucus, NJ, C1

journal

Learning latent activities from social signals with hierarchical dirichlet processes

Prof Dinh Phung, Mr Thuong Cong Nguyen, Dr Sunil Gupta, Prof Svetha Venkatesh

(2014), pp. 149-174, Plan, activity, and intent recognition : theory and practice, Boston, MA, B1

chapter

Fixed-lag particle filter for continuous context discovery using Indian buffet process

Thuong Nguyen, Dr Sunil Gupta, Prof Svetha Venkatesh, Prof Dinh Phung

(2014), pp. 20-28, 2014 IEEE International Conference on Pervasive Computing and Communications, PerCom 2014, Piscataway, N.J., E1

conference

Affective and content analysis of online depression communities

Dr Thin Nguyen, Prof Dinh Phung, Prof Svetha Venkatesh, Prof Michael Berk

(2014), Vol. 5, pp. 217-226, IEEE Transactions on Affective Computing, Piscataway, N.J, C1

journal

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

Dr Santu Rana, Dr Truyen Tran, Dr Wei Luo, Prof Dinh Phung, Richard L. Kennedy, Prof Svetha Venkatesh

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

journal

Stream quantiles via maximal entropy histograms

Dr Ognjen Arandjelovic, Ducson Pham, Prof Svetha Venkatesh

(2014), pp. 327-334, Neural Information Processing, Berlin, Gemany, B1

chapter

Modelling multilevel data in multimedia : A hierarchical factor analysis approach

Dr Sunil Gupta, Prof Dinh Phung, Prof Svetha Venkatesh

(2014), pp. 1-23, Multimedia Tools and Applications, New York, New York, C1

journal

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

Dr Thin Nguyen, Prof Dinh Phung, Prof Svetha Venkatesh

(2014), pp. 398-407, Web information systems engineering -- WISE 2014 : 15th International Conference, Thessaloniki, Greece, October 12-14, 2014, proceedings, Berlin, Germany, B1

chapter

Intervention-driven predictive framework for modeling healthcare data

Dr Santu Rana, Dr Sunil Gupta, Prof Dinh Phung, Prof Svetha Venkatesh

(2014), pp. 497-508, Advances in knowledge discovery and data mining : 18th Pacific-Asia Conference, PAKDD 2014, Tainan, Taiwan, May 13-16, 2014, proceedings, Berlin, Germany, B1

chapter

Affective, linguistic and topic patterns in online autism communities

Dr Thin Nguyen, Dr Thi Duong, Prof Dinh Phung, Prof Svetha Venkatesh

(2014), pp. 474-488, Web information systems engineering -- WISE 2014 : 15th International Conference, Thessaloniki, Greece, October 12-14, 2014, proceedings, Berlin, Germany, B1

chapter

Ipoll: Automatic polling using online search

Dr Thin Nguyen, Prof Dinh Phung, Dr Wei Luo, Dr Truyen Tran, Prof Svetha Venkatesh

(2014), pp. 266-275, Web information system engineering - WISE 2014, Berlin, Germany, B1

chapter

A bayesian nonparametric framework for activity recognition using accelerometer data

Thuong Nguyen, Dr Sunil Gupta, Prof Svetha Venkatesh, Prof Dinh Phung

(2014), pp. 2017-2022, Proceedings of the 22nd International Conference on Pattern Recognition; ICPR 2014, Piscataway, N.J., E1

conference

Data-mining twitter and the autism spectrum disorder: a pilot study

Dr Adham Beykikhoshk, Dr Ognjen Arandjelovic, Prof Dinh Phung, Prof Svetha Venkatesh, Adj/Prof Terry Caelli

(2014), pp. 349-356, Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining; ASONAM 2014, Piscataway, N.J., E1

conference

Tree-based iterated local search for Markov random fields with applications in image analysis

Dr Truyen Tran, Prof Dinh Phung, Prof Svetha Venkatesh

(2014), Vol. 21, pp. 25-45, Journal of heuristics, Berlin, Germany, C1

journal

Bayesian nonparametric multilevel clustering with group-level contexts

Dr Tien Vu Nguyen, Prof Dinh Phung, XuanLong Nguyen, Prof Svetha Venkatesh, Hung Hai Bui

(2014), pp. 481-501, ICML 2014 : Proceedings of the 31st International Conference on Machine Learning, Berlin, Germany, E1

conference

Nonparametric discovery of learning patterns and autism subgroups from therapeutic data

Dr Pratibha Vellanki, Dr Thi Duong, Prof Svetha Venkatesh, Prof Dinh Phung

(2014), pp. 1828-1833, ICPR 2014 : Proceedings of the 22nd International Conference on Pattern Recognition, Piscataway, N.J., E1

conference

Analysis of circadian rhythms from online communities of individuals with affective disorders

Dr Thin Nguyen, Prof Svetha Venkatesh, Prof Dinh Phung

(2014), pp. 463-469, DSAA 2014 - Proceedings of the 2014 IEEE International Conference on Data Science and Advanced Analytics, Piscataway, N.J., E1

conference

Individualized arrhythmia detection with ECG signals from wearable devices

Binh Nguyen, Dr Wei Luo, Adj/Prof Terry Caelli, Prof Svetha Venkatesh, Prof Dinh Phung

(2014), pp. 570-576, DSAA 2014 - Proceedings of the 2014 IEEE International Conference on Data Science and Advanced Analytics, Piscataway, N.J., E1

conference

Regularizing topic discovery in emrs with side information by using hierarchical bayesian models

Mr Cheng Li, Dr Santu Rana, Prof Dinh Phung, Prof Svetha Venkatesh

(2014), pp. 1307-1312, ICPR 2014 : Proceedings of the 22nd International Conference on Pattern Recognition, Piscataway, N.J., E1

conference

Unsupervised inference of significant locations from WiFi data for understanding human dynamics

Mr Thanh Binh Nguyen, Thuong Nguyen, Dr Wei Luo, Prof Svetha Venkatesh, Prof Dinh Phung

(2014), pp. 232-235, MUM 2014 : Proceedings of the 13th International Conference on Mobile and Ubiquitous Multimedia, Melbourne, Vic., E1-1

conference

A matrix factorization framework for jointly analyzing multiple nonnegative data sources

Dr Sunil Gupta, Prof Dinh Phung, Brett Adams, Prof Svetha Venkatesh

(2014), pp. 151-170, Data mining for service, Berlin, Germany, B1-1

chapter

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

Dr Sunil Gupta, Dr Santu Rana, Prof Dinh Phung, Prof Svetha Venkatesh

(2014), pp. 235-243, SDM 2014: Proceedings of the 14th SIAM International Conference on Data Mining 2014, Philadelphia, Pa, E1-1

conference

Speed up health research through topic modeling of coded clinical data

Dr Wei Luo, Prof Dinh Phung, Dr Tien Vu Nguyen, Dr Truyen Tran, Prof Svetha Venkatesh

(2014), pp. 1-4, IAPR 2014: Proceedings of 2nd International Workshop on Pattern Recognition for Healthcare Analytics, Stockholm, Sweden, E1-1

conference

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

Dr Truyen Tran, Dr Wei Luo, Prof Dinh Phung, A/Prof Richard Harvey, Prof Michael Berk, Richard L. Kennedy, Prof Svetha Venkatesh

(2014), Vol. 14, pp. 1-9, BMC Psychiatry, London, England, C1

journal

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

Dr Sunil Gupta, Dr Truyen Tran, Dr Wei Luo, Prof Dinh Phung, Richard L. Kennedy, Adam Broad, David Campbell, David Kipp, Madhu Singh, Dr Mustafa Khasraw, Leigh Matheson, Prof David Ashley, Prof Svetha Venkatesh

(2014), Vol. 4, pp. 1-7, BMJ open, London, England, C1

journal

A framework for feature extraction from hospital medical data with applications in risk prediction

Dr Truyen Tran, Dr Wei Luo, Prof Dinh Phung, Dr Sunil Gupta, Dr Santu Rana, Mr Richard Kennedy, Ann Larkins, Prof Svetha Venkatesh

(2014), Vol. 15, pp. 1-9, BMC Bioinformatics, London,Eng., C1

journal
2013

Regularized nonnegative shared subspace learning

Dr Sunil Gupta, Prof Dinh Phung, Brett Adams, Prof Svetha Venkatesh

(2013), Vol. 26, pp. 57-97, Data mining and knowledge discovery, Boston, Mass., C1-1

journal

A novel information theoretic approach to wavelet feature selection for texture classification

Imran Naseem, Dr Sonny Pham, Prof Svetha Venkatesh

(2013), Vol. 39, pp. 319-325, Computers & electrical engineering, Amsterdam, The Netherlands, C1

journal

Compressive speech enhancement

Siow Yong Low, Dr Sonny Pham, Prof Svetha Venkatesh

(2013), Vol. 55, pp. 757-768, Speech communication, Amsterdam, The Netherlands, C1

journal

Sparse subspace clustering via group sparse coding

Dr Budhaditya Saha, Dr Sonny Pham, Prof Dinh Phung, Prof Svetha Venkatesh

(2013), pp. 130-138, SDM 2013 : Proceedings of the thirteenth SIAM International Conference on Data Mining, Austin, Texas, E1

conference

Clustering patient medical records via sparse subspace representation

Dr Budhaditya Saha, Dr Sonny Pham, Prof Dinh Phung, Prof Svetha Venkatesh

(2013), pp. 123-134, Advances in knowledge discovery and data mining : 17th Pacific-Asia Conference, PAKDD 2013, Gold Coast, Australia, April 14-17, 2013 : proceedings, Berlin, Germany, E1

conference

Analysis of psycholinguistic processes and topics in online autism communities

Dr Thin Nguyen, Prof Dinh Phung, Prof Svetha Venkatesh

(2013), pp. 1-6, ICME 2013 : Proceedings of the 14th IEEE International Conference on Multimedia and Expo, Piscataway, N.J., E1

conference

Learning sparse latent representation and distance metric for image retrieval

Dr Tu Nguyen, Dr Truyen Tran, Prof Dinh Phung, Prof Svetha Venkatesh

(2013), pp. 1-6, ICME 2013 : Proceedings of the 14th IEEE International Conference on Multimedia and Expo, Piscataway, N.J., E1

conference

Exploiting side information in distance dependent Chinese restaurant processes for data clustering

Mr Cheng Li, Prof Dinh Phung, Dr Santu Rana, Prof Svetha Venkatesh

(2013), pp. 1-6, ICME 2013 : Proceedings of the 14th IEEE International Conference on Multimedia and Expo, Piscataway, N.J., E1

conference

Interactive browsing system for anomaly video surveillance

Dr Tien Vu Nguyen, Prof Dinh Phung, Dr Sunil Gupta, Prof Svetha Venkatesh

(2013), pp. 384-389, ISSNIP 2013 : Sensing the future : Proceedings of the IEEE 8th International Conference on Intelligent Sensors, Sensor Networks and Information Processing, Piscataway, N.J., E1

conference

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

Thuong Nguyen, Prof Dinh Phung, Dr Sunil Gupta, Prof Svetha Venkatesh

(2013), pp. 47-55, PerCom 2013 : Proceedings of the 11th IEEE International Conference on Pervasive Computing and Commmunications, Piscataway, N.J., E1

conference

Online social capital : mood, topical and psycholinguistic analysis

Dr Thin Nguyen, Prof Dinh Phung, Prof Svetha Venkatesh, Prof Michael Berk

(2013), pp. 449-456, ICWSM 2013 : Proceedings of the 7th AAAI International Conference on Weblogs and Social Media, Palo Alto, Calif., E1

conference

Connectivity, online social capital, and mood : a Bayesian nonparametric analysis

Prof Dinh Phung, Dr Sunil Gupta, Dr Thin Nguyen, Prof Svetha Venkatesh

(2013), Vol. 15, pp. 1316-1325, IEEE transactions on multimedia, Piscataway, N.J., C1

journal

Latent patient profile modelling and applications with mixed-variate restricted Boltzmann machine

Dr Tu Nguyen, Dr Truyen Tran, Prof Dinh Phung, Prof Svetha Venkatesh

(2013), pp. 123-135, PAKDD 2013 : Advances in knowledge discovery and data mining : Proceedings of the 17th Pacific-Asia Conference, Berlin, Germany, E1

conference

Split-merge augmented Gibbs sampling for hierarchical dirichlet processes

Dr Santu Rana, Prof Dinh Phung, Prof Svetha Venkatesh

(2013), pp. 546-557, PAKDD 2013 : Advances in knowledge discovery and data mining : Proceedings of the 17th Pacific-Asia Conference, Berlin, Germany, E1

conference

TOBY : Early intervention in autism through technology

Prof Svetha Venkatesh, Prof Dinh Phung, Dr Thi Duong, Dr Stewart Greenhill, Brett Adams

(2013), pp. 3187-3196, CHI 2013 : Changing perspectives : Proceedings of the 31st Annual Conference on Human Factors in Computing Systems, New York, N.Y., E1

conference

Event extraction using behaviors of sentiment signals and burst structure in social media

Dr Thin Nguyen, Prof Dinh Phung, Brett Adams, Prof Svetha Venkatesh

(2013), Vol. 37, pp. 279-304, Knowledge and information systems, London, England, C1

journal

Efficient algorithms for robust recovery of images from compressed data

Dr Sonny Pham, Prof Svetha Venkatesh

(2013), Vol. 22, pp. 4724-4737, IEEE transactions on image processing, Piscataway, N.J., C1

journal

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

Dr Tien Vu Nguyen, Prof Dinh Phung, Prof Svetha Venkatesh

(2013), pp. 124-131, Neural information processing : 20th International Conference, ICONIP 2013, Daegu, Korea, November 3-7, 2013. Proceedings, Berlin, Germany, E1

conference

Mood sensing from social media texts and its applications

Dr Thin Nguyen, Prof Dinh Phung, Brett Adams, Prof Svetha Venkatesh

(2013), Vol. 39, pp. 1-36, Knowledge and information systems, Berlin, Germany, C1

journal

Factorial multi-task learning : a Bayesian nonparametric approach

Dr Sunil Gupta, Prof Dinh Phung, Prof Svetha Venkatesh

(2013), pp. 1694-1702, 30th International Conference on Machine Learning, ICML 2013, Atlanta, Ga., E1-1

conference

An integrated framework for suicide risk prediction

Dr Truyen Tran, Prof Dinh Phung, Dr Wei Luo, A/Prof Richard Harvey, Prof Michael Berk, Prof Svetha Venkatesh

(2013), pp. 1410-1418, KDD'13: Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining, New York, N.Y., E1-1

conference

Thurstonian Boltzmann machines: learning from multiple inequalities

Dr Truyen Tran, Prof Dinh Phung, Prof Svetha Venkatesh

(2013), pp. 46-54, ICML 2013 : Proceedings of the Machine Learning 2013 International Conference, Atlanta, Ga., E1-1

conference
2012

A spectral slit approach to doubletalk detection

Siow Yong Low, Prof Svetha Venkatesh, Sven Erik Nordholm

(2012), Vol. 20, pp. 1074-1080, IEEE Transactions on Audio Speech and Language Processing, Piscataway, N.J., C1-1

journal

Improved image recovery from compressed data contaminated with impulsive noise

Dr Sonny Pham, Prof Svetha Venkatesh

(2012), Vol. 21, pp. 397-405, IEEE transactions on image processing, Piscataway, N. J, C1-1

journal

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

Dr Sunil Gupta, Prof Dinh Phung, Prof Svetha Venkatesh

(2012), pp. 200-212, SDM 2012 : Proceedings of the 12th SIAM International Conference on Data Mining, Anaheim, Calif., E1

conference

A sentiment-aware approach to community formation in social media

Dr Thin Nguyen, Prof Dinh Phung, Brett Adams, Prof Svetha Venkatesh

(2012), pp. 527-530, ICWSM 2012 : Proceedings of the Sixth International Conference on Weblogs and Social Media, Dublin, Ireland, E1

conference

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

Dr Sunil Gupta, Prof Dinh Phung, Prof Svetha Venkatesh

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

conference

Multi-modal abnormality detection in video with unknown data segmentation

Dr Tien Vu Nguyen, Prof Dinh Phung, Dr Santu Rana, Dr Sonny Pham, Prof Svetha Venkatesh

(2012), pp. 1322-1325, ICPR 2012 : Proceedings of 21st International Conference on Pattern Recognition, Tsubuka Science City, Japan, E1

conference

Cumulative restricted Boltzmann machines for ordinal matrix data analysis

Dr Truyen Tran, Prof Dinh Phung, Prof Svetha 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

Dr Truyen Tran, Prof Dinh Phung, Prof Svetha 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

Dr Sunil Gupta, Prof Dinh Phung, Prof Svetha Venkatesh

(2012), pp. 1815-1818, ICPR 2012 : Proceedings of 21st International Conference on Pattern Recognition, Tsubuka Science City, Japan, E1

conference

Detection of cross-channel anomalies

Dr Sonny Pham, Dr Budhaditya Saha, Prof Dinh Phung, Prof Svetha Venkatesh

(2012), Vol. 35, pp. 33-59, Knowledge and Information Systems, Berlin, Germany, C1

journal

Learning Boltzmann distance metric for face recognition

Dr Truyen Tran, Prof Dinh Phung, Prof Svetha Venkatesh

(2012), pp. 218-223, ICME 2012 : Proceedings of the 13th IEEE International Conference on Multimedia and Expo, Piscataway, N.J., E1

conference

Sparse subspace representation for spectral document clustering

Dr Budhaditya Saha, Prof Dinh Phung, Dr Sonny Pham, Prof Svetha Venkatesh

(2012), pp. 1092-1097, ICDM 2012 : Proceedings of the 12th IEEE International Conference on Data Mining, Piscataway, N.J., E1

conference

Anomaly detection in large-scale data stream networks

Dr Sonny Pham, Prof Svetha Venkatesh, Mihai M. Lazarescu, Dr Budhaditya Saha

(2012), pp. 1-45, Data mining and knowledge discovery, New York, N.Y., C1

journal

Pervasive multimedia for autism intervention

Prof Svetha Venkatesh, Dr Stewart Greenhill, Prof Dinh Phung, Brett Adams, Dr Thi Duong

(2012), Vol. 8, pp. 863-882, Pervasive and mobile computing, Amsterdam, The Netherlands, C1

journal

A sequential decision approach to ordinal preferences in recommender systems

Dr Truyen Tran, Prof Dinh Phung, Prof Svetha Venkatesh

(2012), pp. 676-682, AAAI 2012 : Proceedings of the 26th National Conference on Artificial Intelligence, Toronto, Ont., E1

conference

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

Dr Truyen Tran, Prof Dinh Phung, Prof Svetha Venkatesh

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

conference

Large-scale statistical modeling of motion patterns : a Bayesian nonparametric approach

Dr Santu Rana, Prof Dinh Phung, Sonny Pham, Prof Svetha Venkatesh

(2012), pp. 1-8, ICVGIP 2012 : Proceedings of the 8th Indian Conference on Computer Vision, Graphics and Image Processing, New York, N.Y., E1

conference

Improved subspace clustering via exploitation of spatial constraints

Dr Sonny Pham, Dr Budhaditya Saha, Prof Dinh Phung, Prof Svetha Venkatesh

(2012), pp. 550-557, CVPR 2012 : Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Piscataway, N. J., E1

conference

Towards a video browser for the digital native

Brett Adams, Dr Stewart Greenhill, Prof Svetha Venkatesh

(2012), pp. 127-132, ICMEW 2012 : Proceedings of the 13th IEEE International Conference on Multimedia and Expo Workshops, Piscataway, N. J., E1

conference

Optimal metric selection for improved multi-pose face recognition with group information

Xin Zhang, Dr Sonny Pham, Wanquan Liu, Prof Svetha Venkatesh

(2012), pp. 1675-1678, ICPR 2012 : Proceedings of 21st International Conference on Pattern Recognition, Tsubuka Science City, Japan, E1

conference
2011

A matrix factorization framework for jointly analyzing multiple nonnegative data source

Dr Sunil Gupta, Prof Dinh Phung, Brett Adams, Prof Svetha 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

Dr Sonny Pham, Dr Budhaditya Saha, Prof Dinh Phung, Prof Svetha Venkatesh

(2011), pp. 527-536, ICDM 2011 : Proceedings of the IEEE International Conference on Data Mining, Washington, D. C., E1-1

conference

Emotional reactions to real-world events in social networks

Dr Thin Nguyen, Prof Dinh Phung, Brett Adams, Prof Svetha Venkatesh

(2011), pp. 53-64, New Frontiers in Applied Data Mining : Proceedings of the PAKDD 2011 International Workshops, Heidelberg, Germany, E1-1

conference

Innovative sparse representation algorithms for robust face recognition

Huining Qiu, Dr Sonny Pham, Prof Svetha Venkatesh, Jianhuang Lai, Wanquan Liu

(2011), Vol. 7, pp. 5645-5667, International journal of innovative computing, information & control, Kumamoto, Japan, C1-1

journal

Unified formulation of linear discriminant analysis methods and optimal parameter selection

Senjian An, Wanquan Liu, Prof Svetha Venkatesh, Hong Yan

(2011), Vol. 44, pp. 307-319, Pattern recognition, Oxford, England, C1-1

journal

Efficient subwindow search with submodular score functions

Senjian An, Patrick Peursum, Wanquan Liu, Prof Svetha Venkatesh

(2011), pp. 1409-1416, CVPR 2011 : Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Washington, D. C., E1-1

conference

Networking of Multimedia Women Event : beyond epsilon science - "where to look and how to realize new opportunities"

Klara Nahrstedt, Prof Svetha Venkatesh, Nalini Venkatasubramanian, Dulce Ponceleon, Maria Zemankova, Susanne Boll

(2011), pp. 589-592, MM'11 : Proceedings of the 19th ACM Multimedia Conference and Co-Located Workshops, New York, N. Y., E1-1

conference

Eventscapes : visualizing events over time with emotive facets

Brett Adams, Prof Dinh Phung, Prof Svetha Venkatesh

(2011), pp. 1477-1480, MM'11 - Proceedings of the 2011 ACM Multimedia Conference and Co-Located Workshops, Scottsdale, AZ, E1-1

conference

A context-sensitive device to help people with autism cope with anxiety

Marziya Mohammedali, Brett Adams, Prof Dinh Phung, Prof Svetha Venkatesh

(2011), pp. 1201-1206, CHI EA 2011 : Proceedings of the 29th Conference on Human Factors in Computing Systems 2011, New York, N. Y., E1-1

conference

Cognitive intervention in autism using multimedia stimulus

Prof Svetha Venkatesh, Dr Stewart Greenhill, Prof Dinh Phung, Brett Adams

(2011), pp. 769-770, MM'11 : Proceedings of the 19th ACM Multimedia Conference and Co-Located Workshops, New York, N. Y., E1-1

conference

Supervised subspace learning with multi-class Lagrangian SVM on the Grassmann manifold

Dr Sonny Pham, Prof Svetha Venkatesh

(2011), pp. 241-250, AI 2011 : advances in artificial intelligence : 24th Australasian Joint Conference, Perth, Australia, December 5-8, 2011 : proceedings, Berlin, Germany, E1-1

conference

Prediction of age, sentiment, and connectivity from social media text

Dr Thin Nguyen, Prof Dinh Phung, Brett Adams, Prof Svetha Venkatesh

(2011), pp. 227-240, Web Information Systems Engineering, WISE 2011 : 12th International Conference, Sydney, Australia, October 13-14 2011 : proceedings, Berlin, Germany, E1-1

conference

A Bayesian framework for learning shared and individual subspaces from multiple data sources

Dr Sunil Gupta, Prof Dinh Phung, Brett Adams, Prof Svetha Venkatesh

(2011), pp. 136-147, Advances in knowledge discovery and data mining : 15th Pacific-Asia Conference, PAKDD 2011, Shenzhen, China, May 24-27, 2011, proceedings, part II, Berlin, Germany, E1-1

conference

Mixed-variate restricted Boltzmann machines

Dr Truyen Tran, Prof Dinh Phung, Prof Svetha Venkatesh

(2011), pp. 213-229, ACML 2011 : Proceedings of the 3rd Asian Conference on Machine Learning, Taoyuan, Taiwan, E1-1

conference

Towards discovery of influence and personality traits through social link prediction

Dr Thin Nguyen, Prof Dinh Phung, Brett Adams, Prof Svetha Venkatesh

(2011), pp. 566-569, ICWSM-11 : Proceedings of the 5th AAAI International Conference on Weblogs and Social Media, Menlo Park, Calif., E1-1

conference

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

Dr Truyen Tran, Prof Dinh Phung, Prof Svetha Venkatesh

(2011), pp. 426-437, SDM 2011 : Proceedings of the 11th SIAM International Conference on Data Mining, Philadelphia, Pa., E1-1

conference
2010

A study on smoothing for particle-filtered 3D human body tracking

Patrick Peursum, Prof Svetha Venkatesh, Geoff West

(2010), Vol. 87, pp. 53-74, International journal of computer vision, New York, N. Y., C1-1

journal

Discovery of latent subcommunities in a blog's readership

Brett Adams, Prof Dinh Phung, Prof Svetha Venkatesh

(2010), Vol. 4, pp. 1-30, ACM transactions on the web, New York, N. Y., C1-1

journal

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

Dr Sonny Pham, Hung Bui, Prof Svetha Venkatesh

(2010), Vol. 56, pp. 6433-6449, IEEE transactions on information theory, Piscataway, N.J., C1-1

journal

Multi-class pattern classification in imbalanced data

Amal S. Ghanem, Prof Svetha Venkatesh, Geoff West

(2010), pp. 2881-2884, ICPR 2010 : Proceedings : 20th International Conference on Pattern Recognition, Los Alamitos, Calif., E1-1

conference

Hyper-community detection in the blogosphere

Dr Thin Nguyen, Prof Dinh Phung, Brett Adams, Dr Truyen Tran, Prof Svetha Venkatesh

(2010), pp. 21-26, WSM 2010 : Proceedings of the 2nd ACM SIGMM Workshop on Social Media, New York, N. Y