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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

Robust Estimation of Causal Heteroscedastic Noise Models

Q. Tran, B. Duong, P. Nguyen, T. Nguyen

2024 / pp. Accepted on 9/12/2023 / SIAM International Conference on Data Mining (SDM)

Domain Generalisation via Risk Distribution Matching

T. Nguyen, K. Do, B. Duong, T. Nguyen

2024 / pp. 2790 - 2799 / Winter Conference on Applications of Computer Vision (WACV)

Policy Learning for Off-Dynamics RL with Deficient Support

L. L. P. Van, H. Tran, S. Gupta

2024 / pp. Accepted on 21/12/2023 / International Conference on Autonomous Agents and Multiagent Systems (AAMAS)

Approximate theory of armour perforation by ductile hole expansion

R. Masri, S. Ryan

2024 / Vol. 187, pp. 104925 / International Journal of Impact Engineering

A review of Whipple shield ballistic limit equations

S. Ryan, W. Schonberg

2024 / Vol. 187, pp. 104899 / International Journal of Impact Engineering

Machine learning for predicting the outcome of terminal ballistics events

S. Ryan, N. M. Sushma, A. K. AV, J. Berk, T. Hashem, S. Rana, S. Venkatesh

2024 / Vol. 31, pp. 14 - 26 / Defence Technology