A Comparative Study of Semi-Supervised Anomaly Detection Methods for Machine Fault Detection D Neupane, MR Bouadjenek, R Dazeley, S Aryal PHM Society European Conference 8 (1), 10-10, 2024 | | 2024 |
Machinery Fault Detection using Advanced Machine Learning Techniques D Neupane, MR Bouadjenek, R Dazeley, S Aryal PHM Society European Conference 8 (1), 4-4, 2024 | | 2024 |
Data-driven Machinery Fault Detection: A Comprehensive Review D Neupane, MR Bouadjenek, R Dazeley, S Aryal arXiv preprint arXiv:2405.18843, 2024 | 1 | 2024 |
Elastic step DQN: A novel multi-step algorithm to alleviate overestimation in Deep Q-Networks A Ly, R Dazeley, P Vamplew, F Cruz, S Aryal Neurocomputing 576, 127170, 2024 | 1 | 2024 |
TopFormer: Topology-Aware Transformer for Point Cloud Registration S Fung, W Pan, X Liu, J Yearwood, R Dazeley, X Lu International Conference on Computational Visual Media, 112-128, 2024 | | 2024 |
Value function interference and greedy action selection in value-based multi-objective reinforcement learning P Vamplew, C Foale, R Dazeley arXiv preprint arXiv:2402.06266, 2024 | | 2024 |
Utility-Based Reinforcement Learning: Unifying Single-objective and Multi-objective Reinforcement Learning P Vamplew, C Foale, CF Hayes, P Mannion, E Howley, R Dazeley, ... arXiv preprint arXiv:2402.02665, 2024 | | 2024 |
An Empirical Investigation of Value-Based Multi-objective Reinforcement Learning for Stochastic Environments K Ding, P Vamplew, C Foale, R Dazeley arXiv preprint arXiv:2401.03163, 2024 | 1 | 2024 |
Segmentation-driven feature-preserving mesh denoising W Wang, W Pan, C Dai, R Dazeley, L Wei, B Rolfe, X Lu The Visual Computer, 1-17, 2023 | 1 | 2023 |
A Wearable Multi-Sensor Fusion Approach for Gender Recognition based on Deep Learning S Roy, B Nakisa, PN Pathirana, R Dazeley Proceedings of the 2023 10th International Conference on Bioinformatics …, 2023 | | 2023 |
Masked autoencoders in 3d point cloud representation learning J Jiang, X Lu, L Zhao, R Dazaley, M Wang IEEE Transactions on Multimedia, 2023 | 22 | 2023 |
Agile Backward Design: Planning and Designing Higher Education Curriculum and Teaching R Dazeley, A Goriss-Hunter, G Meredith, P Sellings, S Firmin, J Burke, ... EdArXiv, 2023 | | 2023 |
Human engagement providing evaluative and informative advice for interactive reinforcement learning A Bignold, F Cruz, R Dazeley, P Vamplew, C Foale Neural Computing and Applications 35 (25), 18215-18230, 2023 | 21 | 2023 |
Explainable robotic systems: Understanding goal-driven actions in a reinforcement learning scenario F Cruz, R Dazeley, P Vamplew, I Moreira Neural Computing and Applications 35 (25), 18113-18130, 2023 | 40 | 2023 |
Current Status and Trends of Engineering Entrepreneurship Education in Australian Universities J Li, S Mckenzie, R Dazeley, F Jiang, K Sood arXiv preprint arXiv:2308.06943, 2023 | 1 | 2023 |
Human-aligned reinforcement learning for autonomous agents and robots F Cruz, TG Karimpanal, MA Solis, P Barros, R Dazeley Neural Computing and Applications 35 (23), 16689-16691, 2023 | 1 | 2023 |
AI apology: interactive multi-objective reinforcement learning for human-aligned AI H Harland, R Dazeley, B Nakisa, F Cruz, P Vamplew Neural Computing and Applications 35 (23), 16917-16930, 2023 | 4 | 2023 |
Explainable reinforcement learning for broad-xai: a conceptual framework and survey R Dazeley, P Vamplew, F Cruz Neural Computing and Applications 35 (23), 16893-16916, 2023 | 50 | 2023 |
Weighted Point Cloud Normal Estimation W Wang, X Lu, D Shao, X Liu, R Dazeley, A Robles-Kelly, W Pan 2023 IEEE International Conference on Multimedia and Expo (ICME), 2015-2020, 2023 | | 2023 |
Elastic step DDPG: Multi-step reinforcement learning for improved sample efficiency A Ly, R Dazeley, P Vamplew, F Cruz, S Aryal 2023 International Joint Conference on Neural Networks (IJCNN), 01-06, 2023 | 1 | 2023 |