Deakin Research

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Centre for Pattern Recognition and Data Analytics
School of Information Technology
Deakin University
Locked Bag 20000
GEELONG VIC 3220

Conference Proceedings

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2014

[1] Rana, S. and Gupta, S.K. and Phung, D. and Venkatesh, S.. Intervention-Driven Predictive Framework for Modeling Healthcare Data. In Advances in Knowledge Discovery and Data Mining, page (accepted), Tainan, Taiwan, 2014.
[2] Nguyen, T. C. and Gupta, S. and Venkatesh, S. and Phung, D.. Fixed-lag Particle Filter for Continuous Context Discovery Using Indian Buffet Process. In 2014 IEEE International Conference on Pervasive Computing and Communications (PerCom), page 20–28, Budapest, Hungary, 2014.
[3] Beykikhoshk, A. and Arandjelovic, O. and Phung, D. and Venkatesh, S., and Caelli, T.. Data-Mining Twitter and the Autism Spectrum Disorder: A Pilot Study. In Advances in Social Networks Analysis and Mining (ASONAM), 2014 IEEE/ACM International Conference on (ACCEPTED), 2014.
[4] V. Nguyen and D. Phung, and L. Nguyen, and S. Venkatesh and H. Bui. Bayesian Nonparametric Multilevel Clustering with Group-Level Contexts. In Proceedings of the 30th International Conference on Machine Learning (ICML), page 288-296, Beijing, China, 2014.
[5] Nguyen, T. C.. Bayesian Nonparametric Extraction of Hidden Contexts from Pervasive Honest Signals. In Seventh Annual PhD Forum on Pervasive Computing and Communications, page 168–170, 2014.
[6] Gupta, S.K. and Rana, S. and Phung, D. and Venkatesh, S.. Keeping up with Innovation: A Predictive Framework for Modeling Healthcare Data with Evolving Clinical Interventions. In Proceedings of the SIAM International Conference on Data Mining, page (accepted), Philadelphia, USA, 2014.
[7] Nguyen, T.C. and Gupta, S. and Venkatesh, S. and Phung, D.. A Bayesian Nonparametric Framework for Activity Recognition using Accelerometer Data. In Proceedings of 22nd International Conference on Pattern Recognition (ICPR) (accepted), 2014.
[8] Vellanki, P. and Duong, T. and Venkatesh, S. and Phung, D.. Nonparametric Discovery of Learning Patterns and Autism Subgroups from Therapeutic Data. In Proceedings of 22nd International Conference on Pattern Recognition (ICPR) (accepted), 2014.
[9] Li, C. and Rana, S. and Phung, D. and Venkatesh, S.. Regularizing Topic Discovery in EMRs with Side Information by Using Hierarchical Bayesian Models. In Proceedings of 22nd International Conference on Pattern Recognition (ICPR) (accepted), 2014.
[10] D. Phung and B.N Vo. A Random Finite Set Model for Data Clustering. In Proceedings of International Conference on Fusion, Salamanca, Spain, 2014.
[11] Nguyen, Thin and Duong, Thi and Phung, Dinh and Venkatesh, Svetha. Affective, Linguistic and Topic Patterns in Online Autism Communities. In International Conference on Web Information System Engineering (WISE 2014), Thessaloniki, Greece, 2014.
[12] Dao, Bo and Nguyen, Thin and Phung, Dinh and Venkatesh, Svetha. Effect of Mood, Social Connectivity and Age in Online Depression Community via Topic and Linguistic Analysis. In International Conference on Web Information System Engineering (WISE 2014), Thessaloniki, Greece, 2014.
[13] Nguyen, Thin and Phung, Dinh and Luo, Wei and Tran, Truyen and Venkatesh, Svetha. iPoll: Automatic Polling Using Online Search. In International Conference on Web Information System Engineering (WISE 2014), Thessaloniki, Greece, 2014.

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13th January 2014