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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.

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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.

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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.

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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.

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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.

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Görgülü, B., and M. Gokce Baydogan, "Randomized trees for time series representation and similarity", Pattern Recognition, vol. 120, pp. 108097, 2021.

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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.

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Küçükaşcı, E. Şeyma, M. Gokce Baydogan, and Z. C. Taşkın, "Multiple instance classification via quadratic programming", Journal of Global Optimization, pp. 1–32, 2022.

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Jahanshahi, H., and M. Gokce Baydogan, "nTreeClus: A tree-based sequence encoder for clustering categorical series", Neurocomputing, vol. 494, pp. 224-241, 2022.

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Adıyeke, E., and M. Gokce Baydogan, "Semi-supervised extensions of multi-task tree ensembles", Pattern Recognition, vol. 123, pp. 108393, 2022.

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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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