Publications


Filters:


Results for: Svetha Venkatesh

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

Microstructure and mechanical properties of new recycled high performance 7xxx-series alloys

A. Vahid, S. Rana, S. Gupta, P. Vellanki, S. Venkatesh, T. Dorin

2018 / Materials Science and Engineering: A - Journal - Elsevier (under review)

New Bayesian-Optimization-Based Design of High-Strength 7xxx-Series Alloys from Recycled Aluminum

A. Vahid, S. Rana, S. Gupta, P. Vellanki, S. Venkatesh, T. Dorin

2018 / Vol. 70, pp. 2704 - 2709 / The Journal of The Minerals, Metals and Materials Society (JOM)

Expected Hypervolume Improvement with Constraints

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

2018 / pp. 3238 - 3243 / International Conference on Pattern Recognition (ICPR)

Stable bayesian optimization

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

2018 / Vol. 6, pp. 327 - 339 / International Journal of Data Science and Analytics

Sparse Approximation for {Gaussian} Process with Derivative Observations

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

2018 / Australasian AI

Dual control memory augmented neural networks for treatment recommendations

H. Le, T. Tran, S. Venkatesh

2018 / pp. 273 - 284 / Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD)

Graph Memory Networks for Molecular Activity Prediction

T. Pham, T. Tran, S. Venkatesh

2018 / pp. 639 - 644 / International Conference on Pattern Recognition (ICPR)

Selecting Optimal Source for Transfer Learning in Bayesian Optimisation

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

2018 / pp. 42 - 56 / The 15th Pacific Rim International Conference on Artificial Intelligence

Discovering topic structures of a temporally evolving document corpus

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

2018 / Vol. 55, pp. 599 - 632 / Knowledge and Information Systems

Prescriptive Analytics through Constrained Bayesian Optimization

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

2018 / pp. 335 - 347 / Pacific-Asia Conference on Knowledge Discovery and Data Mining

Learning Graph Representation via Frequent Subgraphs

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

2018 / pp. 306 - 314 / Proceedings of the 2018 SIAM International Conference on Data Mining (SDM)

Effective Identification of Similar Patients Through Sequential Matching over ICD Code Embedding

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

2018 / Vol. 42, pp. 94 / Journal of Medical Systems

Energy-Based Anomaly Detection for Mixed Data

K. Do, T. Tran, S. Venkatesh

2018 / Vol. 57, pp. 413 - 435 / Knowledge and Information Systems

Filtering Bayesian optimization approach in weakly specified search space

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

2018 / pp. 1 - 29 / Knowledge and Information Systems

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