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
Cell2Doc: ML Pipeline for Generating Documentation in Computational Notebooks T. Mondal, S. Barnett, A. Lal, J. Vedurada 2023 / pp. 384 - 396 / ASE 2023 : Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering 2023
Unsupervised Image Segmentation with Robust Virtual Class Contrast K. Nguyen, K. Than, K. Do, T. V. Vu 2023 / Vol. 173, pp. 10 - 16 / Pattern Recognition Letters
Requirements engineering framework for human-centered artificial intelligence software systems K. Ahmad, M. Abdelrazek, C. Arora, A. A. Baniya, M. Bano, J. Grundy 2023 / Vol. 143, pp. 110455 / Applied soft computing
Memory-Augmented Theory of Mind Network D. Nguyen, P. Nguyen, H. Le, K. Do, S. Venkatesh, T. Tran 2023 / Vol. 37, pp. 11630 - 11637 / Proceedings of the AAAI Conference on Artificial Intelligence (AAAI)
EEG} Datasets for Seizure Detection and Prediction – A Review S. Wong, A. Simmons, J. Rivera-Villicana, S. Barnett, S. Shobi, P. Perucca, Z. Ge, P. Kwan, L. Kuhlmann, R. Vasa, K. Mouzakis, T. J. O'Brien 2023 / Epilepsia Open
Understanding User Perspectives on Data Visualisation in mHealth Apps: A Survey Study Y. A. Alshehhi, M. Abdelrazek, B. J. Philip, A. Bonti 2023 / Vol. 11, pp. 84200 - 84213 / IEEE Access
mHealthSwarm: A Unified Platform for mHealth Applications B. J. Philip, Y. A. Alshehhi, M. Abdelrazek, S. Barnett, A. Bonti, J. Grundy 2023 / pp. 605 - 612 / ENASE 2023 : Proceedings of the 18th International Conference on Evaluation of Novel Approaches to Software Engineering 2023
Beyond Surprise: Improving Exploration Through Surprise Novelty H. Le, K. Do, D. Nguyen, S. Venkatesh 2023 / pp. Accepted on 21/5/2023 / International Conference on Autonomous Agents and Multi-Agent Systems(AAMAS)
Universal Graph Continual Learning T. D. Hoang, D. Nguyen, B. Nguyen, H. H. Nguyen, H. Le, others 2023 / pp. 1 - 16 / Transactions on Machine Learning Research
