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Attentional Multilabel Learning over Graphs: A Message Passing Approach

K. Do, T. Tran, T. Nguyen, S. Venkatesh

2019 / Vol. 108, pp. 1757 - 1781 / Machine Learning

Theory and Evaluation Metrics for Learning Disentangled Representations

K. Do, T. Tran

2019 / Proceedings of the International Conference on Learning Representations (ICLR)

Graph Transformation Policy Network for Chemical Reaction Prediction

K. Do, T. Tran, S. Venkatesh

2019 / pp. 750 - 760 / Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining

Lessons Learned from Using a Deep Tree-Based Model for Software Defect Prediction in Practice

H. K. Dam, T. T. M. Pham, S. W. Ng, T. Tran, J. Grundy, A. Ghose, T. Kim, C. Kim

2019 / pp. 46 - 57 / 2019 IEEE/ACM 16th International Conference on Mining Software Repositories (MSR)

Towards Effective AI-Powered Agile Project Management

H. K. Dam, T. Tran, J. Grundy, A. Ghose, Y. Kamei

2019 / pp. 41 - 44 / Proceedings of the 41st International Conference on Software Engineering: New Ideas and Emerging Results (ICSE-NIER)

Understanding the Impact of Emotions on Software: A Case Study in Requirements Gathering and Evaluation

M. K. Curumsing, N. Fernando, M. Abdelrazek, R. Vasa, K. Mouzakis, J. Grundy

2019 / Vol. 147, pp. 215 - 229 / Journal of systems and software

What Should I Document? A Preliminary Systematic Mapping Study into API Documentation Knowledge

A. Cummaudo, R. Vasa, J. Grundy

2019 / pp. 1 - 6 / 2019 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM)

Losing Confidence in Quality: Unspoken Evolution of Computer Vision Services

A. Cummaudo, R. Vasa, J. Grundy, M. Abdelrazek, A. Cain

2019 / pp. 333 - 342 / Proceedings of the 35th IEEE International Conference on Software Maintenance and Evolution (ICSME)

Supporting Multi-View Development for Mobile Applications

S. Barnett, I. Avazpour, R. Vasa, J. Grundy

2019 / Vol. 51, pp. 88 - 96 / Journal of Computer Languages

Intelligent Sensing to Inform and Learn (InSTIL): A Scalable and Governance-Aware Platform for Universal, Smartphone-Based Digital Phenotyping for Research and Clinical Applications

S. Barnett, K. Huckvale, H. Christensen, S. Venkatesh, K. Mouzakis, R. Vasa

2019 / Vol. 21, pp. e16399 / Journal of medical Internet research

Multi-Objective Bayesian Optimisation with Preferences over Objectives

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

2019 / pp. 12214 - 12224 / Advances in Neural Information Processing Systems

Bayesian Functional Optimisation with Shape Prior

P. Vellanki, S. Rana, S. Gupta, D. R. de Celis Leal, A. Sutti, M. Height, S. Venkatesh

2019 / Vol. 33, pp. 1617 - 1624 / Proceedings of the AAAI Conference on Artificial Intelligence

Efficient Hyperparameter Tuning Using Bayesian Optimization

T. T. Joy

2019 / Doctor of Philosophy, Deakin University

Video Anomaly Detection Using Deep Generative Models

V. T. Hung

2019 / Doctor of Philosophy, Deakin University

Improving Generalization and Stability of Generative Adversarial Networks

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

2019 / ICLR 2019: Proceedings of the 7th International Conference on Learning Representations

Optimizing a High-Entropy System: Software-Assisted Development of Highly Hydrophobic Surfaces Using an Amphiphilic Polymer

S. Subianto, C. Li, D. R. de Celis Leal, S. Rana, S. Gupta, R. He, S. Venkatesh, A. Sutti

2019 / Vol. 4, pp. 15912 - 15922 / ACS omega

Efficient Bayesian Function Optimization of Evolving Material Manufacturing Processes

D. R. de Celis Leal, D. Nguyen, P. Vellanki, C. Li, S. Rana, N. Thompson, S. Gupta, K. Pringle, S. Subianto, S. Venkatesh, others

2019 / Vol. 4, pp. 20571 - 20578 / ACS omega

Information-Theoretic Multi-Task Learning Framework for Bayesian Optimisation

A. Ramachandran, S. Gupta, S. Rana, S. Venkatesh

2019 / pp. 497 - 509 / Australasian Joint Conference on Artificial Intelligence