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On clustering and interpreting with rules by means of mathematical optimization
Carrizosa, Emilio; Kurishchenko, Kseniia; Marín, Alfredo; … - In: Computers & operations research : and their … 154 (2023), pp. 1-19
Persistent link: https://www.econbiz.de/10014307360
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Mathematical optimization modelling for group counterfactual explanations
Carrizosa, Emilio; Ramírez-Ayerbe, Jasone; Romero … - In: European journal of operational research : EJOR 319 (2024) 2, pp. 399-412
Persistent link: https://www.econbiz.de/10015084224
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On sparse optimal regression trees
Blanquero, Rafael; Carrizosa, Emilio; Molero-Río, Cristina - In: European journal of operational research : EJOR 299 (2022) 3, pp. 1045-1054
Persistent link: https://www.econbiz.de/10013207223
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Supervised feature compression based on counterfactual analysis
Piccialli, Veronica; Romero Morales, María Dolores; … - In: European journal of operational research : EJOR 317 (2024) 2, pp. 273-285
Persistent link: https://www.econbiz.de/10014635787
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Selection of time instants and intervals with Support Vector Regression for multivariate functional data
Blanquero, Rafael; Carrizosa, Emilio; Jiménez-Cordero, … - In: Computers & operations research : and their … 123 (2020), pp. 1-24
Persistent link: https://www.econbiz.de/10012286336
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Cost-sensitive probabilistic predictions for support vector machines
Benítez-Peña, Sandra; Blanquero, Rafael; Carrizosa, Emilio - In: European journal of operational research : EJOR 314 (2024) 1, pp. 268-279
Persistent link: https://www.econbiz.de/10014456876