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Results for: 2018

Multi-Target Optimisation via Bayesian Optimisation and Linear Programming

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

2018 / UAI 2018: Proceedings of the 34th Conference on Uncertainty in Artificial Intelligence

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

Predicting components for issue reports using deep learning with information retrieval

M. Choetkiertikul, H. Dam, T. Tran, T. Pham, A. Ghose

2018 / pp. 244 - 245 / Proceedings of the 40th International Conference on Software Engineering: Companion Proceeedings

Explainable software analytics

H. Dam, T. Tran, A. Ghose

2018 / pp. 53 - 56 / Proceedings of the 40th International Conference on Software Engineering: New Ideas and Emerging Results

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

Committee machine that votes for similarity between materials

D. Nguyen, T. Pham, V. Nguyen, T. Ho, T. Tran, K. Takahashi, H. Dam

2018 / Vol. 5 / IUCrJ

Neural reasoning for chemical-chemical interaction

T. Pham, T. Tran, S. Venkatesh

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

Automatic feature learning for predicting vulnerable software components

H. Dam, T. Tran, T. Pham, S. Ng, J. Grundy, A. Ghose

2018 / IEEE Transactions on Software Engineering

Energy-Based Anomaly Detection for Mixed Data

K. Do, T. Tran, S. Venkatesh

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

Predicting delivery capability in iterative software development

M. Choetkiertikul, H. Dam, T. Tran, A. Ghose, J. Grundy

2018 / Vol. 44, pp. 551 - 573 / IEEE Transactions on Software Engineering

A deep learning model for estimating story points

M. Choetkiertikul, H. Dam, T. Tran, T. Pham, A. Ghose, T. Menzies

2018 / IEEE Transactions on Software Engineering

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

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)

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

MGAN: Training generative adversarial nets with multiple generators

Q. Hoang, T. Nguyen, T. Le, D. Phung

2018 / In International Conference on Learning Representations

Robust Bayesian kernel machine via stein variational gradient descent for big data

K. Nguyen, T. Le, T. Nguyen, D. Phung, G. I. Webb

2018 / pp. 2003 - 2011 / Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining

Bayesian Multi-Hyperplane Machine for Pattern Recognition

K. Nguyen, T. Le, T. Dinh, D. Phung

2018 / pp. 609 - 614 / 2018 24th International Conference on Pattern Recognition (ICPR)