Couso, I. ., & Sánchez, L. . (2017). Additive similarity and dissimilarity measures. Fuzzy Sets and Systems, 322, 35-53. https://doi.org/10.1016/j.fss.2016.12.013
Luciano Sánchez
First name
Luciano
Last name
Sánchez
2017
Echevarría, Y. ., Couso, I. ., Anseán, D. ., Blanco, C. ., & Sánchez, L. . (2017). Using fuzzy preference orderings in theta-dominance with application to health monitoring of Li-ion batteries. Journal of Multiple-Valued Logic and Soft Computing.
2016
Cocaña-Fernández, A. ., Sánchez, L. ., & Ranilla, J. . (2016). Improving the Eco-Efficiency of High Performance Computing Clusters Using EECluster. Energies, 9, 197. https://doi.org/10.3390/en9030197 (Original work published)
Cocaña-Fernández, A. ., Sánchez, L. ., & Ranilla, J. . (2016). Leveraging a predictive model of the workload for intelligent slot allocation schemes in energy-efficient HPC clusters. Engineering Applications of Artificial Intelligence, 48, 95-105. https://doi.org/10.1016/j.engappai.2015.10.003
Couso, I. ., & Sánchez, L. . (2016). Machine learning models, epistemic set-valued data and generalized loss functions: An encompassing approach. Information Sciences, 358-359, 129-150. https://doi.org/10.1016/j.ins.2016.04.016
Moyano, J. ., & Sánchez, L. . (2016). RKEEL: Using KEEL in R code. 257-264. https://doi.org/10.1109/FUZZ-IEEE.2016.7737695 (Original work published)
Palacios, A. M., Sánchez, L. ., Couso, I. ., & Destercke, S. . (2016). An extension of the FURIA classification algorithm to low quality data through fuzzy rankings and its application to the early diagnosis of dyslexia. Neurocomputing, 176, 60-71. https://doi.org/10.1016/j.neucom.2014.11.088
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.
Otero, J. ., Junco, L. ., Suárez, R. ., Palacios, A. M., Couso, I. ., & Sánchez, L. . (2016). Finding informative code metrics under uncertainty for predicting the pass rate of online courses. Information Sciences, 373, 42-56. https://doi.org/10.1016/j.ins.2016.08.090
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.