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Asunción Jiménez-Cordero
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2020 – today
- 2022
- [j7]Asunción Jiménez-Cordero, Juan Miguel Morales, Salvador Pineda:
Warm-starting constraint generation for mixed-integer optimization: A Machine Learning approach. Knowl. Based Syst. 253: 109570 (2022) - 2021
- [j6]Asunción Jiménez-Cordero, Sebastián Maldonado:
Automatic feature scaling and selection for support vector machine classification with functional data. Appl. Intell. 51(1): 161-184 (2021) - [j5]Asunción Jiménez-Cordero, Juan Miguel Morales, Salvador Pineda:
A novel embedded min-max approach for feature selection in nonlinear Support Vector Machine classification. Eur. J. Oper. Res. 293(1): 24-35 (2021) - 2020
- [j4]Rafael Blanquero, Emilio Carrizosa, Asunción Jiménez-Cordero, Belén Martín-Barragán:
Selection of time instants and intervals with Support Vector Regression for multivariate functional data. Comput. Oper. Res. 123: 105050 (2020) - [i1]Asunción Jiménez-Cordero, Juan Miguel Morales, Salvador Pineda:
A novel embedded min-max approach for feature selection in nonlinear Support Vector Machine classification. CoRR abs/2004.09863 (2020)
2010 – 2019
- 2019
- [j3]Rafael Blanquero, Emilio Carrizosa, Asunción Jiménez-Cordero, Belén Martín-Barragán:
Functional-bandwidth kernel for Support Vector Machine with Functional Data: An alternating optimization algorithm. Eur. J. Oper. Res. 275(1): 195-207 (2019) - [j2]Rafael Blanquero, Emilio Carrizosa, Asunción Jiménez-Cordero, Belén Martín-Barragán:
Variable selection in classification for multivariate functional data. Inf. Sci. 481: 445-462 (2019) - 2016
- [j1]Rafael Blanquero, Emilio Carrizosa, Asunción Jiménez-Cordero, José Francisco Rodríguez:
A global optimization method for model selection in chemical reactions networks. Comput. Chem. Eng. 93: 52-62 (2016)
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