| Multi-objective Bayesian optimisation with preferences over objectives M Abdolshah, A Shilton, S Rana, S Gupta, S Venkatesh Conference on Neural Information Processing Systems (NeurIPS 2019), 2019 | 49 | 2019 |
| Classification of X-Ray images of shipping containers M Abdolshah, M Teimouri, R Rahmani Expert Systems with Applications 77, 57-65, 2017 | 24 | 2017 |
| Expected Hypervolume Improvement with Constraints M Abdolshah, A Shilton, S Rana, S Gupta, S Venkatesh International Conference on Pattern Recognition (ICPR), 2018 | 15 | 2018 |
| Developing a computer vision method based on AHP and feature ranking for ores type detection M Ebrahimi, M Abdolshah, S Abdolshah Applied Soft Computing 49, 179-188, 2016 | 15 | 2016 |
| A new representation of successor features for transfer across dissimilar environments M Abdolshah, H Le, TK George, S Gupta, S Rana, S Venkatesh International Conference on Machine Learning (ICML), 1-9, 2021 | 12 | 2021 |
| Cost-aware multi-objective Bayesian optimisation M Abdolshah, A Shilton, S Rana, S Gupta, S Venkatesh arXiv preprint arXiv:1909.03600, 2019 | 12 | 2019 |
| Model-Based Episodic Memory Induces Dynamic Hybrid Controls H Le, T Karimpanal George, M Abdolshah, T Tran, S Venkatesh Advances in Neural Information Processing Systems (NeurIPS 2021) 34, 2021 | 8 | 2021 |
| Santu Rana, Sunil Gupta, and Svetha Venkatesh. Cost-aware multi-objective Bayesian optimisation M Abdolshah, A Shilton arXiv preprint arXiv:1909.03600, 2019 | 8 | 2019 |
| Santu Rana, Sunil Gupta, and Svetha Venkatesh. 2019. Multi-objective Bayesian optimisation with preferences over objectives M Abdolshah, A Shilton Advances in Neural Information Processing Systems 32, 8-14, 0 | 4 | |
| Trajectory Planning and Walking Pattern Generation of Humanoid Robot Motion S Abdolshah, M Abdolshah, SH Tang International Journal of Robotics and Automation (IAES) 4 (2), 135-142, 2015 | 3 | 2015 |
| Balanced q-learning: Combining the influence of optimistic and pessimistic targets TG Karimpanal, H Le, M Abdolshah, S Rana, S Gupta, T Tran, ... Artificial Intelligence 325, 104021, 2023 | 2 | 2023 |
| Episodic Policy Gradient Training H Le, M Abdolshah, TK George, K Do, D Nguyen, S Venkatesh AAAI 2022, 2022 | 2 | 2022 |
| BO-Muse: A human expert and AI teaming framework for accelerated experimental design S Gupta, A Shilton, AK AV, S Ryan, M Abdolshah, H Le, S Rana, J Berk, ... arXiv preprint arXiv:2303.01684, 2023 | 1 | 2023 |
| Neural Latent Traversal with Semantic Constraints M Abdolshah, H Le, TK George, V Le, S Gupta, S Rana, S Venkatesh | 1 | 2021 |
| Plug and Play, Model-Based Reinforcement Learning M Abdolshah, H Le, TK George, S Gupta, S Rana, S Venkatesh arXiv preprint arXiv:2108.08960, 2021 | 1 | 2021 |
| Walking control of humanoid robots on uneven ground using fuzzy algorithm S Abdolshah, M Abdolshah, M Abdolshah, SV Hashemi Rapid Automation: Concepts, Methodologies, Tools, and Applications, 352-361, 2019 | 1 | 2019 |
| Semi-Supervised Semantic Segmentation under Label Noise via Diverse Learning Groups P Li, P Purkait, T Ajanthan, M Abdolshah, R Garg, H Husain, C Xu, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | | 2023 |
| Semantic Control of Generative Musical Attributes S Greenhill, M Abdolshah, V Le, S Gupta, S Venkatesh Ismir 2022 Hybrid Conference, 2022 | | 2022 |
| Memory-Constrained Policy Optimization H Le, TK George, M Abdolshah, D Nguyen, K Do, S Gupta, S Venkatesh | | 2021 |
| Reachability Traces for Curriculum Design in Reinforcement Learning TK George, M Abdolshah, H Le, S Rana, S Gupta, T Tran, S Venkatesh | | 2021 |
Svetha VenkateshProfessor of Computer Science, Deakin UniversityVerified email at deakin.edu.au
