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Results for: Svetha Venkatesh

High Dimensional Bayesian Optimization Using Dropout

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

2017 / pp. 2096 - 2102 / International Joint Conference on Artificial Intelligence

A Generic Neural Architecture for Multiple Inputs and Outputs

T. Pham, T. Tran, S. Venkatesh

2017 / NIPS Workshop on Women in Machine Learning (WiML 2017)

Data mining of intervention for children with autism spectrum disorder

P. Vellanki, T. Duong, D. Phung, S. Venkatesh

2017 / pp. 376 - 383 / eHealth 360°

Deep learning to attend to risk in ICU

P. Nguyen, T. Tran, S. Venkatesh

2017 / pp. 25 - 29 / KDH 2017: Proceedings of the 2nd International Workshop on Knowledge Discovery in Healthcare Data 2017

Predictive Variance Reduction Search

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

2017 / Workshop on Bayesian Optimization at Neural Information Processing Systems (NIPS).

A framework for mixed-type multioutcome prediction with applications in healthcare

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

2017 / Vol. 21, pp. 1182 - 1191 / IEEE journal of biomedical and health informatics

Energy-Based Localized Anomaly Detection in Video Surveillance

H. Vu, T. Nguyen, A. Travers, S. Venkatesh, D. Phung

2017 / pp. 641 - 653 / Pacific-Asia Conference on Knowledge Discovery and Data Mining

Deepr: A Convolutional Net for Medical Records

P. Nguyen, T. Tran, N. Wickramasinghe, S. Venkatesh

2017 / Vol. 21, pp. 22 - 30 / IEEE journal of biomedical and health informatics

Predicting healthcare trajectories from medical records: A deep learning approach

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

2017 / Vol. 69, pp. 218 - 229 / Journal of Biomedical Informatics

Effective sparse imputation of patient conditions in electronic medical records for emergency risk predictions

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

2017 / Vol. 53, pp. 1 - 28 / Knowledge and Information Systems

Column Networks for Collective Classification

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

2017 / pp. 2485 - 2491 / The AAAI Conference on Artificial Intelligence (AAAI)

Nonparametric discovery and analysis of learning patterns and autism subgroups from therapeutic data

P. Vellanki, T. Duong, S. Gupta, S. Venkatesh, D. Phung

2017 / Vol. 51, pp. 127 - 157 / Knowledge and Information Systems

Graph Classification via Deep Learning with Virtual Nodes

T. Pham, T. Tran, H. Dam, S. Venkatesh

2017 / Third Representation Learning for Graphs Workshop (ReLiG 2017)

Learning Recurrent Matrix Representation

K. Do, T. Tran, S. Venkatesh

2017 / Third Representation Learning for Graphs Workshop (ReLiG 2017)