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), page 2017–2022, 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), 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), page 474-488, 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), page 398-407, 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), page 266-275, Thessaloniki, Greece, 2014.
[14] O. Arandjelović. A framework for improving the performance of verification algorithms with a low false positive rate requirement and limited training data.. In Proceedings of IEEE/IAPR International Joint Conference on Biometrics, Clearwater, USA, 2014.
[15] Thanh-Binh Nguyen and Wei Luo and Terry Caelli and Svetha Venkatesh and Dinh Phung. Individualized Arrhythmia Detection with ECG Signals from Wearable Devices. In The 2014 International Conference on Data Science and Advanced Analytics (DSAA2014), 2014.
[16] Thanh-Binh Nguyen and Thuong Nguyen and Wei Luo and Svetha Venkatesh and Dinh Phung. Unsupervised Inference of Significant Locations from WiFi Data for Understanding Human Dynamics. In The 13th International Conference on Mobile and Ubiquitous Multimedia (MUM2014), 2014.
[17] Dao, Bo and Nguyen, Thin and Phung, Dinh and Venkatesh, Svetha. Analysis of Circadian Rhythms from Online Communities of Individuals with Affective Disorders. In The 2014 International Conference on Data Science and Advanced Analytics (DSAA2014), Shanghai,China, 2014.
[18] Shaowu Liu and Truyen Tran and Gang Li and J Yuan. Ordinal Random Fields for Recommender Systems. In Proc. of 6th Asian Conference on Machine Learning (ACML), Nha Trang, Vietnam, 2014.
[19] Wei Luo and Dinh Phung and Vu Nguyen and Truyen Tran and Svetha Venkatesh. Speed up health research through topic modeling of coded clinical data. In International Workshop on Pattern Recognition for Healthcare Analytics, Stockholm, Sweden, 2014.
[20] Santu Rana and Wei Luo and Truyen Tran and Dinh Phung and Svetha Venkatesh and Richard Harvey. HealthMap: A visual platform for patient suicide risk review. In Big Data 2014, page 42-43, Melbourne.
[21] Ghiass, R. S. and Arandjelović, O. and Bendada, A. and Maldague, X.. Stream quantiles via maximal entropy histograms.. In In Proc. International Conference on Neural Information Processing, 2014.
[22] Ghiass, R. S. and Arandjelović, O. and Bendada, A. and Maldague, X.. A Unified Framework for Thermal IR-Based Face Recognition: Dealing with Changes in Pose, Physiological State, and Face-Specific Occlusions.. In In Proc. International Conference on Neural Information Processing, 2014.
[23] Zhang, Xin. and Pham, Sonny. and Saha, B.. Visual Object Clustering via Mixed Norm Regularization. In IEEE Winter Conference on Applications of Computer Vision (WACV) (accepted), 2015.

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13th January 2014