Publications

Filters:

Results for: All

Scalable Variational Causal Discovery Unconstrained by Acyclicity

N. Hoang, B. Duong, T. Nguyen

2024 / pp. Accepted on 4/7/2024 / European Conference on Aritificial Intelligence (ECAI)

Enabling Causal Discovery in Post-Nonlinear Models with Normalizing Flows

N. Hoang, B. Duong, T. Nguyen

2024 / pp. Accepted on 4/7/2024 / European Conference on Aritificial Intelligence (ECAI)

Large Language Model Prompting With Episodic Memory

D. Do, H. Le, Q. Tran, S. Venkatesh

2024 / pp. Accepted on 05/07/2024 / European Conference on Artificial Intelligence (ECAI)

A Data-Driven Defense against Edge-case Model Poisoning Attacks on Federated Learning

K. Purohit, S. K. Das, S. Bhattacharya, S. Rana

2024 / pp. Accepted on 05/07/2024 / European Conference on Artificial Intelligence (ECAI)

Revisiting the Dataset Bias Problem from a Statistical Perspective

K. Do, D. Nguyen, H. Le, T. M. Le, D. Nguyen, H. Harikumar, T. Tran, S. Rana, V. Svetha

2024 / pp. Accepted on 05/07/2024 / European Conference on Artificial Intelligence (ECAI)

Enhanced Bayesian Optimization via Preferential Modeling of Abstract Properties

A. A. Kumar, S. Alistair, G. Sunil, R. Santu, G. Stewart, V. Svetha

2024 / pp. Accepted on 27/05/2024 / European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD)

Improving Diversity in Black-box Few-shot Knowledge Distillation

T. Vo, N. Dang, D. Kien, G. Sunil

2024 / pp. Accepted on 27/05/2024 / Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML-PKDD)

PINN-BO: A Black-box Optimization Algorithm using Physics-Informed Neural Networks

D. Phan-Trong, H. Tran, A. Shilton, S. Gupta

2024 / pp. Accepted on 27/05/2024 / Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML-PKDD)

Variable-Agnostic Causal Exploration for Reinforcement Learning

H. Nguyen, H. Le, S. Venkatesh

2024 / pp. Accepted on 27/05/2024 / Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML-PKDD)

EMOTE: An Explainable architecture for Modelling the Other Through Empathy

M. Senadeera, T. G. Karimpanal, S. Jacobs, S. Gupta, S. Rana

2024 / pp. (accepted on 17th April 2024) / International Joint Conference on Artificial Intelligence (IJCAI)

Class-incremental learning with causal relational replay

T. Nguyen, D. Kieu, B. Duong, T. Kieu, K. Do, T. Nguyen, B. Le

2024 / pp. 123901 / Expert Systems with Applications

Normalizing flows for conditional independence testing

B. Duong, T. Nguyen

2024 / Vol. 66, pp. 357 - 380 / Knowledge and Information Systems

Diversifying Training Pool Predictability for Zero-shot Coordination: A Theory of Mind Approach

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

2024 / pp. Accepted on 17/04/2024 / International Joint Conference on Artificial Intelligence (IJCAI)

Co-design of a personalised digital intervention to improve vegetable intake in adults living in Australian rural communities

K. M. Livingstone, J. C. Rawstorn, L. Alston, S. R. Partridge, A. Bastian, K. Dullaghan, S. A. McNaughton, G. A. Hendrie, L. C. Blekkenhorst, R. Maddison, Y. Zhang, S. Barnett, J. C. Mathers, S. L. Godrich

2024 / Vol. 24, pp. 1 - 14 / BMC Public Health

Determining the feasibility of a codesigned and personalised intervention (Veg4Me) to improve vegetable intake in young adults living in rural Australian communities: protocol for a randomised controlled trial

L. Katherine, R. Jonathan, P. Stephanie, Z. Yuxin, O. Eric, G. Stephanie, M. Sarah, H. Gilly, D. Kate, A. Gavin, B. Lauren, M. Ralph, B. Scott, M. John, A. Laura

2024 / Vol. 14 / BMJ open

A comprehensive survey on machine learning applications for drilling and blasting in surface mining

M. Venkat, T. Srikanth, L. Irini, B. Sushil, V. Rajesh, M. Kon

2024 / Vol. 15, pp. 100517 / Machine Learning with Applications

Root Cause Explanation of Outliers under Noisy Mechanisms

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

2024 / pp. 20508 - 20515 / AAAI Conference on Artificial Intelligence (AAAI)

Learning evolving relations for multivariate time series forecasting

B. Nguyen-Thai, V. Le, N. T. Tieu, T. Tran, S. Venkatesh, N. Ramzan

2024 / pp. 1 - 15 / Applied Intelligence

Learn To Unlearn for Deep Neural Networks: Minimizing Unlearning Interference With Gradient Projection

T. D. Hoang, S. Rana, S. Gupta, S. Venkatesh

2024 / pp. 4819 - 4828 / Winter Conference on Applications of Computer Vision (WACV)

Talk with Ted: an embodied conversational agent for caregivers

M. K. Curumsing, J. R. Villicana, A. Vouliotis, K. Burns, M. Babaei, T. Petrovich, K. Mouzakis, R. Vasa

2024 / pp. 1 - 18 / Gerontology & Geriatrics Education