| Remaining useful lifetime prediction via deep domain adaptation PRO da Costa, A Akçay, Y Zhang, U Kaymak Reliability Engineering & System Safety, 106682, 2019 | 236 | 2019 |
| Learning optimal classification trees using a binary linear program formulation S Verwer, Y Zhang Proceedings of the AAAI conference on artificial intelligence 33 (01), 1625-1632, 2019 | 185 | 2019 |
| Learning 2-opt heuristics for the traveling salesman problem via deep reinforcement learning PR d O Costa, J Rhuggenaath, Y Zhang, A Akcay Asian Conference on Machine Learning, 465-480, 2020 | 131 | 2020 |
| Distributed task allocation in social networks M De Weerdt, Y Zhang, T Klos Proceedings of the 6th international joint conference on Autonomous agents …, 2007 | 104 | 2007 |
| Multiagent task allocation in social networks MM de Weerdt, Y Zhang, T Klos Autonomous Agents and Multi-Agent Systems 25, 46-86, 2012 | 99 | 2012 |
| Learning decision trees with flexible constraints and objectives using integer optimization S Verwer, Y Zhang Integration of AI and OR Techniques in Constraint Programming: 14th …, 2017 | 84 | 2017 |
| On the complexity of efficiency and envy-freeness in fair division of indivisible goods with additive preferences B Keijzer, S Bouveret, T Klos, Y Zhang International Conference on Algorithmic Decision Theory, 98-110, 2009 | 84 | 2009 |
| Auction optimization using regression trees and linear models as integer programs S Verwer, Y Zhang, QC Ye Artificial Intelligence 244, 368–395, 2017 | 58 | 2017 |
| Attention and long short-term memory network for remaining useful lifetime predictions of turbofan engine degradation PRO da Costa, A Akcay, Y Zhang, U Kaymak International Journal of Prognostics and Health Management 10 (4), 2019 | 42 | 2019 |
| A group risk assessment approach for the selection of pharmaceutical product shipping lanes S Faghih-Roohi, A Akcay, Y Zhang, E Shekarian, E de Jong International Journal of Production Economics 229, 107774, 2020 | 40 | 2020 |
| Solving the online batching problem using deep reinforcement learning B Cals, Y Zhang, R Dijkman, C van Dorst Computers & Industrial Engineering 156, 107221, 2021 | 37 | 2021 |
| Column generation based math-heuristic for classification trees M Firat, G Crognier, AF Gabor, CAJ Hurkens, Y Zhang arXiv preprint arXiv:1810.06684, 2018 | 37* | 2018 |
| Two-agent scheduling on a single parallel-batching machine with equal processing time and non-identical job sizes JQ Wang, GQ Fan, Y Zhang, CW Zhang, JYT Leung European Journal of Operational Research 258 (2), 478-490, 2017 | 35 | 2017 |
| Schedule-based Execution Bottlenecks Identification in a Job Shop J Wang, J Chen, Y Zhang, GQ Huang Computers & Industrial Engineering 98 (0360-8352), 308-322, 2016 | 32 | 2016 |
| Enumeration and exact design of weighted voting games B de Keijzer, T Klos, Y Zhang Proceedings of the 9th International Conference on Autonomous Agents and …, 2010 | 32 | 2010 |
| IMPACT: a multi-agent framework with declarative semantics J Dix, Y Zhang Multi-agent programming: languages, platforms and applications, 69-94, 2005 | 31 | 2005 |
| Learning 2-opt heuristics for routing problems via deep reinforcement learning P da Costa, J Rhuggenaath, Y Zhang, A Akcay, U Kaymak SN Computer Science 2, 1-16, 2021 | 30 | 2021 |
| Fair task allocation in transportation QC Ye, Y Zhang, R Dekker Omega 68, 1-16, 2017 | 29 | 2017 |
| Shunting Trains with Deep Reinforcement Learning E Peer, Y Zhang, V Menkovski, WJ Lee, B Huisman The 30th Benelux Conference on Artificial Intelligence, 175-176, 2018 | 28 | 2018 |
| Shunting Trains with Deep Reinforcement Learning E Peer, V Menkovski, Y Zhang, WJ Lee The 2018 IEEE International Conference on Systems, Man, and Cybernetics …, 2018 | 28 | 2018 |
Uzay KaymakProfessor of information systems in the healthcare, Eindhoven University of Technology在 ieee.org 的电子邮件经过验证
