Search results
Results: 6
Number of items: 6
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Maragno, D., Buti, G., Birbil, S. I., Liao, Z., Bortfeld, T., den Hertog, D., & Ajdari, A. (2024). Embedding machine learning based toxicity models within radiotherapy treatment plan optimization. Physics in Medicine and Biology, 69(7), Article 075003. https://doi.org/10.1088/1361-6560/ad2d7e -
Maragno, D., Kurtz, J., Röber, T. E., Goedhart, R., Birbil, Ş. İ., & den Hertog, D. (2024). Finding regions of counterfactual explanations via robust optimization. INFORMS Journal on Computing, 36(5), 1316–1334. https://doi.org/10.1287/ijoc.2023.0153
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Fajemisin, A. O., Maragno, D., & den Hertog, D. (2024). Optimization with constraint learning: A framework and survey. European Journal of Operational Research, 314(1), 1-14. https://doi.org/10.1016/j.ejor.2023.04.041
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Ghosh, M., Kuiper, A., Mahes, R., & Maragno, D. (2023). Learn global and optimize local: A data-driven methodology for last-mile routing. Computers and Operations Research, 159, Article 106312. https://doi.org/10.1016/j.cor.2023.106312
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Maragno, D., Röber, T. E., & Birbil, S. İ. (2022). Counterfactual Explanations Using Optimization With Constraint Learning. In OPT2022: Optimization for Machine Learning. Accepted papers OPT-ML. https://doi.org/10.48550/arXiv.2209.10997
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