Héctor Quintián

Cabrera-Bermejo, M. I., Del Jesus, M. J., Rivera, A. J., Elizondo, D., Charte, F., & Pérez-Godoy, M. D. (2023). Analysis of Transformer Model Applications (P. G. Bringas, H. P. García, F. J. M. de Pisón, F. M. Álvarez, A. T. Lora, álvaro Herrero, … E. Corchado, Eds.). Cham: Springer Nature Switzerland.

Charte, D. ", Sevillano-García, I., Lucena-González, M. J., Martín-Rodríguez, J. L., Charte Ojeda, F., & Herrera, F. (2021). Slicer: Feature Learning for Class Separability with Least-Squares Support Vector Machine Loss and COVID-19 Chest X-Ray Case Study. En H. S. González, I. P. López, P. G. Bringas, H. Quintián, & E. Corchado (Eds.), Hybrid Artificial Intelligent Systems (HAIS 2021) (pp. 305-315). Cham: Springer International Publishing.

Cano De Amo, J. R., & García López, S. (2018). A First Attempt on Monotonic Training Set Selection (F. J. de C. Juez, J. R. Villar, E. A. de la Cal, álvaro Herrero, H. Quintián, J. A. Sáez, & E. Corchado, Eds.). Cham: Springer International Publishing.

Echevarría, Y., Sánchez, L., & Blanco, C. (2016). Assessment of Multi-Objective Optimization Algorithms for Parametric Identification of a Li-Ion Battery Model (F. Martínez-álvarez, A. Troncoso, H. Quintián, & E. Corchado, Eds.). Cham: Springer International Publishing.

Echevarría, Y., Sánchez, L., & Blanco, C. (2016). Genetic Fuzzy Modelling of Li-Ion Batteries Through a Combination of Theta-DEA and Knowledge-Based Preference Ordering (O. Luaces, J. A. Gámez, E. Barrenechea, A. Troncoso, M. Galar, H. Quintián, & E. Corchado, Eds.). Cham: Springer International Publishing.

Cocaña-Fernández, A., Sánchez, L., Ranilla, J., Gil-Pita, R., & Ayllón, D. (2015). Energy-Efficient Sound Environment Classifier for Hearing Aids Based on Multi-objective Simulated Annealing Programming (álvaro Herrero, J. Sedano, B. Baruque, H. Quintián, & E. Corchado, Eds.). Cham: Springer International Publishing.

Otero, J., Suárez, R., & Sánchez, L. (2014). Mutual Information-Based Feature Selection in Fuzzy Databases Applied to Searching for the Best Code Metrics in Automatic Grading (M. Polycarpou, A. C. P. L. F. de Carvalho, J.-S. Pan, M. Woźniak, H. Quintián, & E. Corchado, Eds.). Cham: Springer International Publishing.