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2020 – today
- 2023
[c5]Carlos Cervigón
, José Ignacio Hidalgo:
Estimation of Interstitial Glucose from physical activity measures using Grammatical Evolution. GECCO Companion 2023: 57-58- 2022
- [c4]Marina de la Cruz López, Carlos Cervigón, Jorge Alvarado, Marta Botella, José Ignacio Hidalgo:
Evolving Classification Rules for Predicting Hypoglycemia Events. CEC 2022: 1-8 - 2021
- [c3]Carlos Cervigón, J. Manuel Velasco, Clara Burgos Simón, Rafael J. Villanueva, José Ignacio Hidalgo:
Probabilistic Fitting of Glucose Models with Real-Coded Genetic Algorithms. CEC 2021: 736-743 - 2020
- [j4]José Ignacio Hidalgo, Marta Botella, J. Manuel Velasco, Oscar Garnica, Carlos Cervigón, Remedios Martínez, Aranzazu Aramendi, Esther Maqueda, Juan Lanchares:
Glucose forecasting combining Markov chain based enrichment of data, random grammatical evolution and Bagging. Appl. Soft Comput. 88: 105923 (2020) - [j3]Clara Burgos Simón, Carlos Cervigón, José Ignacio Hidalgo, Rafael J. Villanueva:
A computational technique to predict the level of glucose of a diabetic patient with uncertainty in the short term. Comput. Math. Methods 2(2) (2020)
2010 – 2019
- 2019
- [j2]Rafael J. Villanueva, José Ignacio Hidalgo, Carlos Cervigón, Javier Villanueva-Oller, Juan Carlos Cortés:
Calibration of an agent-based simulation model to the data of women infected by Human Papillomavirus with uncertainty. Appl. Soft Comput. 80: 546-556 (2019) - 2017
- [j1]Carlos Cervigón, José Ignacio Hidalgo, Marta Botella, Rafael J. Villanueva:
A genetic algorithm approach to customizing a glucose model based on usual therapeutic parameters. Prog. Artif. Intell. 6(3): 255-261 (2017) - [c2]José Ignacio Hidalgo, Carlos Cervigón, José Manuel Velasco, J. Manuel Colmenar, Carlos García Sánchez, Guillermo Botella:
Embedded Grammars for Grammatical Evolution on GPGPU. EvoApplications (1) 2017: 789-805 - 2014
- [c1]Gregorio Robles, Jesús M. González-Barahona, Carlos Cervigón, Andrea Capiluppi, Daniel Izquierdo-Cortazar:
Estimating development effort in Free/Open source software projects by mining software repositories: a case study of OpenStack. MSR 2014: 222-231
Coauthor Index
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