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Results for: Svetha Venkatesh

Analysing the History of Autism Spectrum Disorder using Topic Models

A. Beykikhoshk, O. Arandjelovic, S. Venkatesh, D. Phung

2016 / pp. 762 - 771 / Proceedings of the 3rd International Conference on Data Science and Advanced Analytics (DSAA '16)

Scalable Nonparametric Bayesian Multilevel Clustering

V. Huynh, D. Q. Phung, S. Venkatesh, X. Nguyen, M. D. Hoffman, H. Bui

2016 / pp. 289 - 298 / The 32th Conference on Uncertainty in Artificial Intelligence

Stable Clinical Prediction using Graph Support Vector Machines

I. Kamkar, S. Gupta, C. Li, D. Phung, S. Venkatesh

2016 / pp. 3332 - 3337 / 23rd International Conference on Pattern Recognition (ICPR 2016)

Exceptional Contrast Set Mining: Moving beyond the deluge of the obvious

D. Nguyen, W. Luo, D. Phung, S. Venkatesh

2016 / pp. 455 - 468 / Proceedings of the 29th Australasian Joint Conference on Artificial Intelligence (AI 2016), Hobart, Australia, December,

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, O.

2016 / Vol. 16, pp. 167 / BMC pediatrics

Learning Multifaceted Latent Activities from Heterogeneous Mobile Data

T. Nguyen, V. Nguyen, T. Nguyen, S. Venkatesh, M. Kumar, D. Phung

2016 / pp. 389 - 398 / 2016 IEEE International Conference on Data Science and Advanced Analytics (DSAA)

Extracting Key Challenges in Achieving Sobriety through Shared Subspace Learning

H. Harikumar, T. Nguyen, S. Rana, S. Gupta, R. Kaimal, S. Venkatesh

2016 / pp. 420 - 433 / Proceedings of the 12th International Conference on Advanced Data Mining and Applications (ADMA)

Streaming variational inference for dirichlet process mixtures

V. Huynh, D. Phung, S. Venkatesh

2016 / pp. 237 - 252 / Asian Conference on Machine Learning

Cascade Bayesian Optimization

N. Dai, S. Gupta, S. Rana, V. Nguyen, S. Venkatesh, K. J. Deane, P. G. Sanders

2016 / pp. 268 - 280 / 29th Australasian Joint Conference on Artificial Intelligence (AI 2016)

Achieving stable subspace clustering by post-processing generic clustering results

D. Pham, O. Arandjelovic, S. Venkatesh

2016 / pp. 2390 - 2396 / 2016 International Joint Conference on Neural Networks (IJCNN)