| Remaining useful lifetime prediction via deep domain adaptation PRO da Costa, A Akçay, Y Zhang, U Kaymak Reliability Engineering & System Safety 195, 106682, 2020 | 149 | 2020 |
| 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 | 73 | 2020 |
| Analyzing the solutions of DEA through information visualization and data mining techniques: SmartDEA framework AE Akçay, G Ertek, G Büyüközkan Expert Systems with Applications 39 (9), 7763-7775, 2012 | 59 | 2012 |
| Improved inventory targets in the presence of limited historical demand data A Akcay, B Biller, S Tayur Manufacturing & Service Operations Management 13 (3), 297-309, 2011 | 54 | 2011 |
| 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 (4), 2019 | 31 | 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 | 27 | 2020 |
| Stochastic simulation under input uncertainty: A Review CG Corlu, A Akcay, W Xie Operations Research Perspectives 7, 100162, 2020 | 22 | 2020 |
| A matheuristic for AGV scheduling with battery constraints N Singh, QV Dang, A Akcay, I Adan, T Martagan European Journal of Operational Research 298 (3), 855-873, 2022 | 19 | 2022 |
| Input uncertainty in stochastic simulations in the presence of dependent discrete input variables A Akcay, B Biller Journal of Simulation, 1-12, 2017 | 15* | 2017 |
| 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 | 14 | 2021 |
| Optimizing reserve prices for publishers in online ad auctions J Rhuggenaath, A Akcay, Y Zhang, U Kaymak 2019 IEEE Conference on Computational Intelligence for Financial Engineering …, 2019 | 14 | 2019 |
| Optimal display-ad allocation with guaranteed contracts and supply side platforms J Rhuggenaath, A Akcay, Y Zhang, U Kaymak Computers & Industrial Engineering 137, 106071, 2019 | 11 | 2019 |
| A hybrid genetic algorithm for parallel machine scheduling at semiconductor back-end production J Adan, I Adan, A Akcay, R Van den Dobbelsteen, J Stokkermans Proceedings of the International Conference on Automated Planning and …, 2018 | 11 | 2018 |
| Simulation of inventory systems with unknown input models: a data-driven approach A Akcay, CG Corlu International Journal of Production Research 55 (19), 5826-5840, 2017 | 10 | 2017 |
| A simulation-based approach to capturing autocorrelated demand parameter uncertainty in inventory management A Akcay, B Biller, S Tayur Proceedings of the 2012 Winter Simulation Conference (WSC), 1-12, 2012 | 10 | 2012 |
| Fuzzy logic based pricing combined with adaptive search for reserve price optimization in online ad auctions J Rhuggenaath, A Akcay, Y Zhang, U Kaymak 2019 IEEE international conference on fuzzy systems (FUZZ-IEEE), 1-8, 2019 | 9 | 2019 |
| Stochastic simulation under input uncertainty for contract-manufacturer selection in pharmaceutical industry A Akcay, T Martagan 2016 Winter Simulation Conference (WSC), 2292-2303, 2016 | 9 | 2016 |
| The benefits of state aggregation with extreme-point weighting for assemble-to-order systems E Nadar, A Akcay, M Akan, A Scheller-Wolf Operations Research 66 (4), 1040-1057, 2018 | 8* | 2018 |
| Learning fuzzy decision trees using integer programming J Rhuggenaath, Y Zhang, A Akcay, U Kaymak, S Verwer 2018 IEEE international conference on fuzzy systems (FUZZ-IEEE), 1-8, 2018 | 8 | 2018 |
| Quantifying input uncertainty in an assemble-to-order system simulation with correlated input variables of mixed types A Akcay, B Biller Proceedings of the Winter Simulation Conference 2014, 2124-2135, 2014 | 8 | 2014 |
