Improving the Performance of FARC-HD in Multi-class Classification Problems Using the One-Versus-One Strategy and an Adaptation of the Inference System. - Mikel Elkano; Mikel Galar; José Antonio Sanz 001; Edurne Barrenechea; Francisco Herrera; Humberto Bustince (IPMU (3), 2014)

Study of n-dimensional overlap functions in Fuzzy Rule-Based Classification Systems. - Mikel Elkano; Mikel Galar; José Antonio Sanz 001; Humberto Bustince (IFSA-EUSFLAT, 2015)

Enhancing Multiclass Classification in FARC-HD Fuzzy Classifier: On the Synergy Between $n$-Dimensional Overlap Functions and Decomposition Strategies. - Mikel Elkano; Mikel Galar; José Antonio Sanz 001; Alberto Fernández 001; Edurne Barrenechea Tartas; Francisco Herrera; Humberto Bustince (IEEE Trans. Fuzzy Syst., 2015)

Optimization of Chi-FRBCS-BigDataCS Fuzzy Rule-Based Classification System. - Mikel Elkano; Mikel Galar; José Antonio Sanz 001; Humberto Bustince (FUZZ-IEEE, 2016)

Unbalanced OWA Operators for Atanassov Intuitionistic Fuzzy Sets. - Laura De Miguel; Edurne Barrenechea; Miguel Pagola; Aranzazu Jurio; José Antonio Sanz 001; Mikel Elkano; Humberto Bustince (IPMU (2), 2016)

Enhancing evolutionary fuzzy systems for multi-class problems: Distance-based relative competence weighting with truncated confidences (DRCW-TC). - Alberto Fernández 001; Mikel Elkano; Mikel Galar; José Antonio Sanz 001; Saleh Alshomrani; Humberto Bustince; Francisco Herrera (Int. J. Approx. Reason., 2016)

Fuzzy Rule-Based Classification Systems for multi-class problems using binary decomposition strategies: On the influence of n-dimensional overlap functions in the Fuzzy Reasoning Method. - Mikel Elkano; Mikel Galar; José Antonio Sanz 001; Humberto Bustince (Inf. Sci., 2016)

Composition of interval-valued fuzzy relations using aggregation functions. - Mikel Elkano; José Antonio Sanz 001; Mikel Galar; Barbara Pekala; Urszula Bentkowska; Humberto Bustince (Inf. Sci., 2016)

A New Extension of Monotonicity: Ordered Directional Monotonicity. - Humberto Bustince; Radko Mesiar; Anna Kolesárová; Mikel Sesma-Sara; Javier Fernández 002; Mikel Galar; Mikel Elkano (EUSFLAT/IWIFSGN (1), 2017)

A global distributed approach to the Chi et al. fuzzy rule-based classification system for big data classification problems. - Mikel Elkano; Mikel Galar; José Antonio Sanz 001; Graçaliz Pereira Dimuro; Humberto Bustince (FUZZ-IEEE, 2017)

A Preliminary Approach to Semi-supervised Learning in Convolutional Neural Networks Applying "Sleep-Wake" Cycles. - Mikel Elkano; Humberto Bustince; Andrew P. Paplinski (ICONIP (4), 2017)

IVOVO: A new interval-valued one-vs-one approach for multi-class classification problems. - Mikel Elkano; Mikel Galar; José Antonio Sanz 001; Giancarlo Lucca; Humberto Bustince (IFSA-SCIS, 2017)

An algorithm for group decision making using n-dimensional fuzzy sets, admissible orders and OWA operators. - Laura De Miguel; Mikel Sesma-Sara; Mikel Elkano; Maria José Asiain; Humberto Bustince (Inf. Fusion, 2017)

CC-integrals: Choquet-like Copula-based aggregation functions and its application in fuzzy rule-based classification systems. - Giancarlo Lucca; José Antonio Sanz 001; Graçaliz Pereira Dimuro; Benjamín R. C. Bedregal; Maria José Asiain; Mikel Elkano; Humberto Bustince (Knowl. Based Syst., 2017)

On the Usage of the Probability Integral Transform to Reduce the Complexity of Multi-Way Fuzzy Decision Trees in Big Data Classification Problems. - Mikel Elkano; Mikel Uriz; Humberto Bustince; Mikel Galar (BigData Congress, 2018)

Consensus via penalty functions for decision making in ensembles in fuzzy rule-based classification systems. - Mikel Elkano; Mikel Galar; José Antonio Sanz 001; Paula F. Schiavo; Sidnei F. Pereira Jr.; Graçaliz Pereira Dimuro; Eduardo N. Borges; Humberto Bustince (Appl. Soft Comput., 2018)

CHI-BD: A fuzzy rule-based classification system for Big Data classification problems. - Mikel Elkano; Mikel Galar; José Antonio Sanz 001; Humberto Bustince (Fuzzy Sets Syst., 2018)

CHI-PG: A fast prototype generation algorithm for Big Data classification problems. - Mikel Elkano; Mikel Galar; José Antonio Sanz Delgado; Humberto Bustince (Neurocomputing, 2018)

Do we still need fuzzy classifiers for Small Data in the Era of Big Data? - Mikel Elkano; Humberto Bustince; Mikel Galar (FUZZ-IEEE, 2019)

FUZZ-EQ: A data equalizer for boosting the discrimination power of fuzzy classifiers. - Mikel Uriz; Mikel Elkano; Humberto Bustince; Mikel Galar (Appl. Soft Comput., 2020)

CFM-BD: A Distributed Rule Induction Algorithm for Building Compact Fuzzy Models in Big Data Classification Problems. - Mikel Elkano; José Antonio Sanz 001; Edurne Barrenechea; Humberto Bustince; Mikel Galar (IEEE Trans. Fuzzy Syst., 2020)

A Modular End-to-End Multimodal Learning Method for Structured and Unstructured Data. - Marco D'Alessandro; Enrique Calabrés; Mikel Elkano (CoRR, 2024)