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Results for: S. Venkatesh

Incomplete Conditional Density Estimation for Fast Materials Discovery

P. Nguyen, T. Truyen, S. Gupta, S. Rana, S. Venkatesh

2019 / pp. accepted on Dec 22, 2018 / Proceedings of the SIAM International Conference on Data Mining

Exploiting Strategy-Space Diversity for Batch Bayesian Optimization

S. Gupta, A. Shilton, S. Rana, S. Venkatesh

2018 / pp. 538 - 547 / The 21st International Conference on Artificial Intelligence and Statistics

Multiple Adverse Effects Prediction in Longitudinal Cancer Treatment

C. Li, S. Gupta, S. Rana, V. Nguyen, S. Venkatesh

2016 / pp. 3156 - 3161 / Proceedings of the 23rd International Conference on Pattern Recognition

Bayesian Nonparametric Multiple Instance Regression

S. Subramanian, S. Rana, S. Gupta, P. B. Sivakumar, S. Velayutham, S. Venkatesh

2016 / pp. 3661 - 3666 / Proceedings of the 23rd International Conference on Pattern Recognition (ICPR)

Stabilizing Linear Prediction Models using Autoencoder

S. Gopakumar, T. Tran, D. Phung, S. Venkatesh

2016 / pp. 651 - 663 / 12th International Conference on Advanced Data Mining and Applications (ADMA)

TOBY: Therapy Outcomes By You

S. Venkatesh, S. Greenhill, D. Phung, T. Duong, B. Adams, W. Marshall, D. Cairns

2013 / pp. poster session 2 / Association for Behavior Analysis International (ABAI)

A Matrix Factorization Framework for Jointly Analyzing Multiple Nonnegative Data Sources

S. Gupta, D. Phung, B. Adams, S. Venkatesh

2011 / Proceedings of the Ninth Workshop on Text Mining-Eleventh SIAM International Conference on Data Mining

Hyper-Community Detection in the Blogosphere

T. Nguyen, D. Phung, B. Adams, T. Truyen, S. Venkatesh

2010 / pp. 21 - 26 / Proceedings of second ACM SIGMM workshop on Social media (ACM-MM)

MCMC for hierarchical semi-Markov conditional random fields

T. T. Truyen, D. Q. Phung, S. Venkatesh, A. H. H. Bui

2009 / NIPS'09 Workshop on Deep Learning for Speech Recognition and Related Applications

Hierarchical Semi-Markov Conditional Random Fields for recursive sequential data

T. T. Truyen, D. Q. Phung, H. H. Bui, S. Venkatesh

2008 / pp. 1657 - 1664 / Twenty-Second Annual Conference on Neural Information Processing Systems (NIPS)

Constrained Sequence Classification for Lexical Disambiguation

T. T. Truyen, D. Q. Phung, S. Venkatesh

2008 / pp. 430 - 441 / Tenth Pacific Rim International Conference on Artificial Intelligence (PRICAI)

Learning Discriminative Sequence Models from Partially Labelled Data for Activity Recognition

T. T. Truyen, H. H. Bui, D. Q. Phung, S. Venkatesh

2008 / pp. 903 - 912 / Pacific Rim International Conference on Artificial Intelligence (PRICAI)

Human Activity Learning and Segmentation using Partially Hidden Discriminative Models

T. T. Truyen, H. H. Bui, S. Venkatesh

2005 / pp. 87 - 95 / International Workshop on Human Activity Recognition and Modelling (HAREM'05)

Rapid isomorphism detection

K. Shearer, S. Venkatesh

1998 / pp. 266 - 271 / International Conference on Optimisation and Applications

Knowledge representation with noetic maps

D. H. Kieronska, S. Venkatesh

1996 / SPIE Photonics-West