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From deep learning to deep reasoning

T. Tran, V. Le, H. Le, T. M. Le

2021

Learning theory of mind via dynamic traits attribution

D. Nguyen, P. Nguyen, H. Le, K. Do, S. Venkatesh, T. Tran

2021

Learning to transfer role assignment across team sizes

D. Nguyen, P. Nguyen, S. Venkatesh, T. Tran

2021

Towards the Identification and Visualization of Causal Events to Support the Analysis of Closed-Loop Combat Simulations

D. Grieger, M. Wong, M. Tamassia, L. Torres, A. Giardina, R. Vasa, K. Mouzakis

2021 / pp. 295 - 312 / Data and Decision Sciences in Action 2

Application of Machine Learning Techniques to Identify Data Reliability and Factors Affecting Outcome After Stroke Using Electronic Administrative Records

S. Rana, W. Luo, T. Tran, S. Venkatesh, P. Talman, T. Phan, D. Phung, B. Clissold

2021 / pp. 1695 / Frontiers in Neurology

Targeted Universal Adversarial Perturbations for Automatic Speech Recognition

W. Zong, Y. Chow, W. Susilo, S. Rana, S. Venkatesh

2021 / pp. 358 - 373 / International Conference on Information Security

Identification of predictors and model for predicting prolonged length of stay in dengue patients

S. Ansari, D. Jain, H. Harikumar, S. Rana, S. Gupta, S. Budhiraja, S. Venkatesh, others

2021 / Vol. 24, pp. 786 - 798 / Health care management science

Computational design of thermally stable and precipitation-hardened Al-Co-Cr-Fe-Ni-Ti high entropy alloys

J. Joseph, M. Senadeera, Q. Chao, K. F. Shamlaye, S. Rana, S. Gupta, S. Venkatesh, P. Hodgson, M. R. Barnett, D. Fabijanic

2021 / Vol. 888, pp. 161496 / Journal of Alloys and Compounds

DeepProcess: Supporting Business Process Execution Using a MANN-Based Recommender System

A. Khan, H. Le, K. Do, T. Tran, A. Ghose, H. K. Dam, R. Sindhgatta

2021 / pp. 19 - 33 / International Conference on Service-Oriented Computing

Counterfactual explanation with multi-agent reinforcement learning for drug target prediction

T. M. Nguyen, T. P. Quinn, T. Nguyen, T. Tran

2021

Prescriptive Analytics with Differential Privacy

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

2021 / pp. Accepted on 4th September, 2021 / International Journal of Data Science and Analytics

Adaptive Cost-aware Bayesian Optimization

P. Luong, D. Nguyen, S. Gupta, S. Rana, S. Venkatesh

2021 / pp. Accepted on 07 Sep 2021 / Knowledge-Based Systems

Kernel Functional Optimisation

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

2021 / pp. Accepted on 29/09/2021 / Advances in Neural Information Processing Systems

Hierarchical Conditional Relation Networks for Multimodal Video Question Answering

T. M. Le, V. Le, S. Venkatesh, T. Tran

2021 / International Journal of Computer Vision (IJCV)

Kernel Functional Optimisation

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

2021 / Vol. 34 / Advances in Neural Information Processing Systems

Examining microbe–metabolite correlations by linear methods

T. P. Quinn, I. Erb

2021 / Vol. 18, pp. 37 - 39 / Nature Methods

Dynamic Language Binding in Relational Visual Reasoning

T. M. Le, V. Le, S. Venkatesh, T. Tran

2021 / pp. 818 - 824 / IJCAI-PRICAI 2020: Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence