| Remaining useful lifetime prediction via deep domain adaptation PRO da Costa, A Akçay, Y Zhang, U Kaymak Reliability Engineering & System Safety 195, 106682, 2020 | 302 | 2020 |
| Learning 2-opt heuristics for the traveling salesman problem via deep reinforcement learning P da Costa, J Rhuggenaath, Y Zhang, A Akcay Asian Conference on Machine Learning, 465-480, 2020 | 173 | 2020 |
| A genetic algorithm for a green vehicle routing problem PRO da Costa, S Mauceri, P Carroll, F Pallonetto Electronic notes in discrete mathematics 64, 65-74, 2018 | 108 | 2018 |
| Attention and long short-term memory network for remaining useful lifetime predictions of turbofan engine degradation PRDO Da Costa, A Akcay, Y Zhang, U Kaymak International journal of prognostics and health management 10, 034, 2019 | 50 | 2019 |
| 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 | 47 | 2021 |
| Machine learning for data-driven last-mile delivery optimization SS Özarık, P da Costa, AM Florio Transportation Science 58 (1), 27-44, 2024 | 14* | 2024 |
| The first AI4TSP competition: Learning to solve stochastic routing problems Y Zhang, L Bliek, P da Costa, RR Afshar, R Reijnen, T Catshoek, D Vos, ... Artificial Intelligence 319, 103918, 2023 | 10 | 2023 |
| Policies for the dynamic traveling maintainer problem with alerts P da Costa, P Verleijsdonk, S Voorberg, A Akcay, S Kapodistria, ... European Journal of Operational Research 305 (3), 1141-1152, 2023 | 7 | 2023 |
| Machine learning based simulation optimisation for trailer management D Rijnen, J Rhuggenaath, PRO da Costa, Y Zhang 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC …, 2019 | 6 | 2019 |
| Learning 2-opt local search from heuristics as expert demonstrations P Da Costa, Y Zhang, A Akcay, U Kaymak 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021 | 5 | 2021 |
| Predicting Water Pipe Failures with a Recurrent Neural Hawkes Process Model J Verheugd, PRO da Costa, RR Afshar, Y Zhang, S Boersma 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2020 | 5 | 2020 |
| The First AI4TSP Competition: Learning to Solve Stochastic Routing Problems L Bliek, P da Costa, RR Afshar, Y Zhang, T Catshoek, D Vos, S Verwer, ... arXiv preprint arXiv:2201.10453, 2022 | 3 | 2022 |
| A machine learning framework for last-mile delivery optimization A Florio, P Da Costa, SS Özarik Technical Proceeding of the 2021 Last Mile Routing Research Challenge, 2021 | 3 | 2021 |
| Dynamic pricing using thompson sampling with fuzzy events J Rhuggenaath, PR de Oliveira da Costa, Y Zhang, A Akcay, U Kaymak Information Processing and Management of Uncertainty in Knowledge-Based …, 2020 | 3 | 2020 |
| A heuristic policy for dynamic pricing and demand learning with limited price changes and censored demand J Rhuggenaath, PRO da Costa, A Akcay, Y Zhang, U Kaymak 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC …, 2019 | 3 | 2019 |
| Low-regret algorithms for strategic buyers with unknown valuations in repeated posted-price auctions J Rhuggenaath, PR Oliveira da Costa, Y Zhang, A Akcay, U Kaymak Machine Learning and Knowledge Discovery in Databases: European Conference …, 2021 | 2 | 2021 |
| Data-driven policy on feasibility determination for the train shunting problem PR de Oliveira da Costa, J Rhuggenaath, Y Zhang, A Akcay, WJ Lee, ... Machine Learning and Knowledge Discovery in Databases: European Conference …, 2020 | 2 | 2020 |
| Real-Time Data-Driven Maintenance Logistics: A Public-Private Collaboration W van Jaarsveld, A Akçay, L Bliek, P da Costa, M de Weerdt, R Eshuis, ... Commit2Data (2024), 5: 1-5: 13, 2024 | | 2024 |
| Data-driven prognostics and logistics optimisation: A deep learning journey PRO da Costa | | 2022 |
| Learning 2-opt Local Search for the Traveling Salesman Problem PRO da Costa, J Rhuggenaath, Y Zhang, A Akcay BNAIC/BeneLearn 2020, 390, 2020 | | 2020 |
Yingqian ZhangAssociate Professor of AI for Decision-Making, Eindhoven University of TechnologyBestätigte E-Mail-Adresse bei tue.nl