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Social Motivation for Modelling Other Agent under Partial Observability in Decentralised Training

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

2023 / pp. 4082 - 4090 / International Joint Conferences on Artificial Intelligence (IJCAI)

The Future Proofing Study: Design, methods and baseline characteristics of a prospective cohort study of the mental health of Australian adolescents

A. Werner-Seidler, K. Maston, A. L. Calear, P. J. Batterham, M. Larsen, M. Torok, B. O'Dea, K. Huckvale, J. R. Beames, L. Brown, H. Fujimoto, A. Bartholomew, D. Bal, S. Schweizer, S. R. Skinner, K. Steinbeck, J. Ratcliffe, J. Oei, S. Venkatesh, R. Lingam, Y. Perry, J. L. Hudson, K. M. Boydell, A. Mackinnon, H. Christensen

2023 / Vol. 32, pp. e1954 / International Journal of Methods in Psychiatric Research

MLGuard: Defend Your Machine Learning Model!

S. Wong, S. Barnett, J. Rivera-Villicana, A. Simmons, H. Abdelkader, J. Schneider, R. Vasa

2023 / pp. 10–13 / Proceedings of the 1st International Workshop on Dependability and Trustworthiness of Safety-Critical Systems with Machine Learned Components

Robustness Attributes to Safeguard Machine Learning Models in Production

H. Abdelkader, M. Abdelrazek, J. Schneider, P. Rani, R. Vasa

2023 / pp. Accepted on 11/10/2023 / IEEE Conference on Engineering Informatics 2023

Active Level Set Estimation for Continuous Search Space with Theoretical Guarantee

G. Ngo, D. Nguyen, D. Phan-Trong, S. Gupta

2023 / pp. Accepted on 11 September 2023 / Asian Conference on Machine Learning (ACML)

Exploring the Reliability of IoT Packet Classifiers: An Experimental Study

R. V. H. G. I. L. M. T. 1. A. Pasquini, A. Chambers

2023 / pp. Accepted on 22/09/2023 / 2023 IEEE Globecom Workshops