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2020
Sahin, Ö., F. Şentürk, Y. Barlas, and H. Yasarcan, "Modeling the pharmacodynamics of nandrolone doping drug and implications for anti-doping testing", System Dynamics Review, vol. 36, pp. 467-496, 2020.
Khaniyev, T., E. Kayış, and R. Güllü, "Next-day operating room scheduling with uncertain surgery durations: Exact analysis and heuristics", European Journal of Operational Research, vol. 286, pp. 49-62, 2020.
Kumbaroğlu, G., C. Canaz, J. Deason, and E. Shittu, "Profitable Decarbonization through E-Mobility", Energies, vol. 13, 2020.
Sadati, M. Ehsan Hesa, D. Aksen, and N. Aras, "The r-interdiction selective multi-depot vehicle routing problem", International Transactions in Operational Research, vol. 27, pp. 835-866, 2020.
Erbeyoğlu, G., and Ü. Bilge, "A robust disaster preparedness model for effective and fair disaster response", European Journal of Operational Research, vol. 280, pp. 479–494, 2020.
Karademir, C., Ü. Bilge, N. Aras, G. Burak Akkuş, G. Öznergiz, and O. Doğan, "Solution of a Real-Life Vehicle Routing Problem with Meal Breaks and Shifts", Green Transportation and New Advances in Vehicle Routing Problems: Springer International Publishing, pp. 131–157, 2020.
Ozturk, O., and K. Bayramoğl Kavlak, "Statistical inference using stratified judgment post-stratified samples from finite populations", Environmental and Ecological Statistics, vol. 27, pp. 73–94, 2020.
Ünal, A. Tamer, S. Ağralı, and Z. C. Taşkın, "A strong integer programming formulation for hybrid flowshop scheduling", Journal of the Operational Research Society, vol. 71, pp. 2042-2052, 2020.
Sadati, M. Ehsan Hesa, D. Aksen, and N. Aras, "A trilevel r-interdiction selective multi-depot vehicle routing problem with depot protection", Computers & operations research, vol. 123, pp. 104996, 2020.
2021
Kalay, S., and Z. C. Taşkın, "A branch-and-price algorithm for parallel machine campaign planning under sequence dependent family setups and co-production", Computers & Operations Research, vol. 135, pp. 105430, 2021.
Kabakulak, B., Z. C. Taşkın, and A. Emre Pusane, "A Branch-Price-and-Cut Algorithm for Optimal Decoding of LDPC Codes", Journal of Global Optimization, vol. 81, pp. 805–834, 2021.
İrsoy, O., Ş. Güz, N. Beril Akan, and G. Yücel, "Dynamic trade-offs in granulocyte colony-stimulating factor (G-CSF) administration during chemotherapy", System Dynamics Review, vol. 36, pp. 397–446, 2021.
Adıyeke, E., and M. Gokce Baydogan, "An ensemble-based semi-supervised feature ranking for multi-target regression problems", Pattern Recognition Letters, vol. 148, pp. 36-42, 2021.
Şeker, O., T. Ekim, and Z. C. Taşkın, "An Exact Cutting Plane Algorithm to Solve the Selective Graph Coloring Problem in Perfect Graphs", European Journal of Operational Research, vol. 291(1), pp. 67–83, 2021.
Ilic, I., B. Görgülü, M. Cevik, and M. Gokce Baydogan, "Explainable boosted linear regression for time series forecasting", Pattern Recognition, vol. 120, pp. 108144, 2021.
Sivrikaya, Ö. Emre, M. Yükselgönül, and M. Gokce Baydogan, "Learning prototypes for multiple instance learning.", Turkish Journal of Electrical Engineering & Computer Sciences, vol. 29, 2021.
Küçükaşcı, E. Şeyma, M. Gokce Baydogan, and Z. C. Taşkın, "A linear programming approach to multiple instance learning", Turkish Journal of Electrical Engineering & Computer Sciences, vol. 29, pp. 2186–2201, 2021.
Altay, T., and M. Gokce Baydogan, "A new feature-based time series classification method by using scale-space extrema", Engineering Science and Technology, an International Journal, 2021.
Görgülü, B., and M. Gokce Baydogan, "Randomized trees for time series representation and similarity", Pattern Recognition, vol. 120, pp. 108097, 2021.
Kalay, S., and Z. C. Taşkın, "Single Machine Campaign Planning under Sequence Dependent Family Setups and Co-Production", Journal of the Operational Research Society, vol. 72, pp. 2091–2111, 2021.
2022
Küçükaşcı, E. Şeyma, M. Gokce Baydogan, and Z. C. Taşkın, "Multiple instance classification via quadratic programming", Journal of Global Optimization, pp. 1–32, 2022.
Jahanshahi, H., and M. Gokce Baydogan, "nTreeClus: A tree-based sequence encoder for clustering categorical series", Neurocomputing, vol. 494, pp. 224-241, 2022.
H. Sahinkoc, M., and Ü. Bilge, "A reference set based many-objective co-evolutionary algorithm with an application to the knapsack problem", European Journal of Operational Research, vol. 300, pp. 405–417, 2022.
Adıyeke, E., and M. Gokce Baydogan, "Semi-supervised extensions of multi-task tree ensembles", Pattern Recognition, vol. 123, pp. 108393, 2022.
2024
Ozcan, E. C., B. Görgülü, and M. Gokce Baydogan, "Column generation-based prototype learning for optimizing area under the receiver operating characteristic curve", European Journal of Operational Research, vol. 314, pp. 297–307, 2024.

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