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Results for: Svetha Venkatesh

Differentially Private Prescriptive Analytics

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

2018 / pp. 995 - 1000 / 2018 IEEE International Conference on Data Mining (ICDM)

LTARM: A novel temporal association rule mining method to understand toxicities in a routine cancer treatment

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

2018 / Vol. 161, pp. 313 - 328 / Knowledge-Based Systems

Neural reasoning for chemical-chemical interaction

T. Pham, T. Tran, S. Venkatesh

2018 / NeurIPS 2018 Workshop on Machine Learning for Molecules and Materials

Trans2Vec: Learning Transaction Embedding via Items and Frequent Itemsets

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

2018 / pp. 361 - 372 / Pacific-Asia Conference on Knowledge Discovery and Data Mining

On catastrophic forgetting and mode collapse in Generative Adversarial Networks

H. Thanh-Tung, T. Tran, S. Venkatesh

2018 / ICML Workshop on Theoretical Foundations and Applications of Deep Generative Models

Jointly predicting affective and mental health scores using deep neural networks of visual cues on the Web

H. Nguyen, V. Nguyen, T. Nguyen, M. Larsen, B. O'Dea, D. Thanh, T. Le, D. Phung, S. Venkatesh, H. Christensen

2018 / Proceedings of the International Conference on Web Information Systems Engineering (WISE)

Accelerating Experimental Design by Incorporating Experimenter Hunches.

C. Li, S. Rana, S. Gupta, V. Nguyen, S. Venkatesh, A. Sutti, C. de, T. Slezak, M. Height, M. Mohammed, O.

2018 / pp. 257 - 266 / 2018 IEEE International Conference on Data Mining (ICDM)

Resset: A Recurrent Model for Sequence of Sets with Applications to Electronic Medical Records

P. Nguyen, T. Tran, S. Venkatesh

2018 / pp. 1 - 9 / IEEE International Joint Conference on Neural Networks (IJCNN)

Dual Memory Neural Computer for Asynchronous Two-view Sequential Learning

H. Le, T. Tran, S. Venkatesh

2018 / pp. 1637 - 1645 / SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)

Efficient Bayesian Optimisation Using Derivative Meta-Model

A. Yang, C. Li, S. Rana, S. Gupta, S. Venkatesh

2018 / pp. 252 - 264 / The 15th Pacific Rim International Conference on Artificial Intelligence

Sqn2Vec: Learning Sequence Representation via Sequential Patterns with a Gap Constraint

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

2018 / pp. 569 - 584 / The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD)

A Privacy Preserving Bayesian Optimization with High Efficiency

N. Dai, S. Gupta, S. Rana, S. Venkatesh

2018 / pp. 543 - 555 / Pacific-Asia Conference on Knowledge Discovery and Data Mining

Information-theoretic Transfer Learning framework for Bayesian Optimisation

A. Ramachandran, S. Gupta, R. Santu, S. Venkatesh

2018 / pp. 827 - 842 / The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD)

Knowledge Graph Embedding with Multiple Relation Projections

K. Do, T. Tran, S. Venkatesh

2018 / pp. 332 - 337 / International Conference on Pattern Recognition (ICPR)

Exploration Enhanced Expected Improvement for Bayesian Optimization

J. Berk, V. Nguyen, S. Gupta, R. Santu, S. Venkatesh

2018 / pp. 621 - 637 / The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD)

Solving for X: Evidence for sex-specific autism biomarkers across multiple transcriptomic studies

S. Lee, T. Quinn, J. Lai, S. Kong, I. Hertz-Picciotto, S. Glatt, T. Crowley, S. Venkatesh, T. Nguyen

2018 / American Journal of Medical Genetics Part B: Neuropsychiatric Genetics