| Optimal design and operation of Archimedes screw turbines using Bayesian optimization M Lisicki, W Lubitz, GW Taylor Applied Energy 183, 1404-1417, 2016 | 58 | 2016 |
| Bayesian optimization on graph-structured search spaces: Optimizing deep multimodal fusion architectures D Ramachandram, M Lisicki, TJ Shields, MR Amer, GW Taylor Neurocomputing 298, 80-89, 2018 | 27 | 2018 |
| Evaluating Curriculum Learning Strategies in Neural Combinatorial Optimization M Lisicki, A Afkanpour, GW Taylor Neural Information Processing Systems (NeurIPS) Workshop on Learning Meets …, 2020 | 19 | 2020 |
| An empirical study of neural kernel bandits M Lisicki, A Afkanpour, GW Taylor NeurIPS Workshop on Bayesian Deep Learning, 2021 | 5 | 2021 |
| Structure optimization for deep multimodal fusion networks using graph-induced kernels D Ramachandram, M Lisicki, TJ Shields, MR Amer, GW Taylor arXiv preprint arXiv:1707.00750, 2017 | 5 | 2017 |
| Bandit-Driven Batch Selection for Robust Learning under Label Noise M Lisicki, M Nica, GW Taylor arXiv preprint arXiv:2311.00096, 2023 | | 2023 |
| Empirical analysis of representation learning and exploration in neural kernel bandits M Lisicki, A Afkanpour, GW Taylor arXiv preprint arXiv:2111.03543, 2021 | | 2021 |
| A deep learning computer vision system for image based cytometry M Lisicki Dalhousie University, 2014 | | 2014 |
| 3D object recognition based on depth map and color image fusion M Lisicki Warsaw University of Technology, 2012 | | 2012 |
Graham TaylorUniversity of Guelph and Vector Institute for Artificial IntelligenceVerified email at uoguelph.ca
