EURO 2025 Leeds
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Session MB-4: Interpretable Optimization Methods and Applications in stream Data Science meets Optimization

Monday, 10:30-12:00
Room: Rupert Beckett LT

Session chair(s):

Patrick De Causmaecker (patrick.decausmaecker@kuleuven.be) Sureyya Ozogur-Akyuz (sureyya.akyuz@bau.edu.tr)

The following abstracts have been submitted in this session:

		1461. A SHAP-Driven Approach for Explainable Ensemble Pruning Using Semi-Infinite Programming	Melisa Caliskan-Demir [R] - Turkey	accepted
			Volkan Bakır [] - Turkey
			Sureyya Ozogur-Akyuz [R] - Turkey
		1077. Game-theoretic Tree Regression for Surrogate-based Optimisation of Active Pharmaceutical Ingredient Manufacturing	Artemis Tsochatzidi [R] - United Kingdom	accepted
			Francesca Cenci [] - United Kingdom
			Magdalini Aroniada [] - United Kingdom
			Lazaros Papageorgiou [] - United Kingdom
		1466. Predictive performance and interpretability of machine learning algorithms compared to conventional mixed logit models in analyzing stated choice data	Christoph Herrmann [R] - Germany	accepted
			Katharina Friederike Sträter [] - Germany
		620. Learn to Rank: Efficient Ranking and Visualisation of 4K Build Orientations for Surface Roughness Reduction in Additive Manufacturing	Peizhi Shi [R] - United Kingdom	accepted
			Yuchu Qin [] - United Kingdom
			Fanlin Meng [] - United Kingdom
			Ming Luo [R] - United Kingdom
			Sajid Siraj [R] - United Kingdom