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F.A.I.R. open dataset of brushed DC motor faults for testing of AI algorithms

Reñones Domínguez, Aníbal; Galende Hernández, Marta (2020)
Obtaining accurate TSK Fuzzy Rule-Based Systems by Multi-Objective Evolutionary Learning in high-dimensional regression problems

Gacto, María José; Galende Hernández, Marta ; Alcalá, Rafael; Herrera, Francisco (2013)
Checking Orthogonal Transformations and Genetic Algorithms for Selection of Fuzzy Rules based on Interpretability- Accuracy Concepts

Rey Diez, María Isabel ; Galende Hernández, Marta ; Sáinz Palmero, Gregorio Ismael ; Fuente Aparicio, María Jesús de la (2011)
METSK-HDe: A multiobjective evolutionary algorithm to learn accurate TSK-fuzzy systems in high-dimensional and large-scale regression problems

Gacto, María José; Galende Hernández, Marta ; Alcalá, Rafael; Herrera, Francisco (2014)
Comparison and design of interpretable linguistic vs. scatter FRBSs: Gm3m generalization and new rule meaning index for global assessment and local pseudo-linguistic representation

Galende Hernández, Marta ; Gacto, María José; Sáinz Palmero, Gregorio Ismael ; Alcalá, Rafael (2014)