Episodic Policy Gradient Training H. Le, M. Abdolshah, T. K. George, K. Do, D. Nguyen, S. Venkatesh 2022 / AAAI Conference on Artificial Intelligence
Nursing guidelines for comprehensive harm prevention strategies for adult patients in acute hospitals: An integrative review and synthesis B. Redley, T. Douglas, L. Hoon, K. White, A. Hutchinson 2022 / Vol. 127, pp. 104178 / International Journal of Nursing Studies
Towards Better mHealth Apps: Understanding Current Challenges and User Expectations B. J. Philip, M. Abdelrazek, S. Barnett, A. Bonti, J. Grundy 2022 / pp. 33 - 37 / 2022 IEEE/ACM 9th International Conference on Mobile Software Engineering and Systems (MobileSoft)
Generative Pseudo-Inverse Memory K. Pham, H. Le, M. Ngo, T. Tran, B. Ho, S. Venkatesh 2022 / International Conference on Learning Representations
EvSys: A Relational Dynamic System for Sparse Irregular Clinical Events D. Nguyen, P. Nguyen, T. Tran 2022 / pp. xx - xx / AI for Disease Surveillance and Pandemic Intelligence
Learning theory of mind via dynamic traits attribution D. Nguyen, P. Nguyen, H. Le, K. Do, S. Venkatesh, T. Tran 2022 / Aamas
Learning to transfer role assignment across team sizes D. Nguyen, P. Nguyen, S. Venkatesh, T. Tran 2022 / Aamas
TRF: Learning Kernels with Tuned Random Features A. Shilton, S. Rana, S. Gupta, S. Venkatesh 2022 / pp. Accepted on 01/12/2021 / Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI-22)
Sympathy based Reinforcement Learning agents M. Senadeera, T. G. Karimpanal, S. Rana, S. Gupta 2022 / pp. Accepted on 19/12/2021 / International Conference on Autonomous Agents and Multi-Agent Systems 2022
Verification of Integrity of Deployed Deep Learning Models Using {B}ayesian Optimization D. Kuttichira, S. Gupta, D. Nguyen, S. Rana, S. Venkatesh 2022 / pp. Accepted on 17 Jan 2022 / Knowledge-Based Systems
Real-Time Skill Discovery in Intelligent Virtual Assistants P. Gopal, S. Gupta, S. Rana, V. Le, T. Nguyen, S. Venkatesh 2022 / pp. Accepted on 18 Jan 2022 / Pacific-Asia Conference on Knowledge Discovery and Data Mining
Regret Bounds for Expected Improvement Algorithms in Gaussian Process Bandit Optimization H. Tran-The, S. Gupta, S. Rana, S. Venkatesh 2022 / pp. (accepted on 19/01/2022) / 25th International Conference on Artificial Intelligence and Statistics (AISTATS 2022)
Offline Neural Contextual Bandits: Pessimism, Optimization and Generalization T. T. Nguyen, S. Gupta, A. T. Nguyen, S. Venkatesh 2022 / pp. accepted on 21/01/2022 / The Tenth International Conference on Learning Representations (ICLR-22)
A Bayesian optimisation methodology for the inverse derivation of viscoplasticity model constants in high strain-rate simulations S. Ryan, J. Berk, S. Rana, B. McDonald, S. Venkatesh 2022 / Defence Technology (in press)
MLSmellHound: A Context-Aware Code Analysis Tool J. Kannan, S. Barnett, A. Simmons, L. Cruz, A. Agarwal 2022 / 2022 IEEE/ACM 44rd International Conference on Software Engineering: New Ideas and Emerging Results (ICSE-NIER)
Adaptive experimental optimisation for sample-efficient armour design S. Ryan, J. Berk, A. Weiss, N. Yatom, M. Vardy, S. Rana, S. Greenhill, S. Venkatesh 2022 / Proceedings of the 32nd International Symposium on Ballistics
Predicting metallic armour performance when impacted by fragment-simulating projectiles – Model adjustments and improvements W. Schonberg, S. Ryan 2022 / Vol. 161, pp. 104090 / International Journal of Impact Engineering
DSInfoSearch: Supporting Experimentation Process of Data Scientists S. Sivasothy 2021 / pp. 1033 - 1037 / 2021 36th IEEE/ACM International Conference on Automated Software Engineering (ASE)
Towards the generation of machine learning defect reports T. D. Lai 2021 / pp. 1038 - 1042 / 2021 36th IEEE/ACM International Conference on Automated Software Engineering (ASE)
Towards a taxonomy for annotation of data science experiment repositories S. Sivasothy, S. Barnett, N. Fernando, R. Vasa, R. Sinha, A. Simmons 2021 / pp. 76 - 80 / 2021 IEEE 21st International Working Conference on Source Code Analysis and Manipulation (SCAM)
