Mikel Elkano

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 24

Top Topics

Classification Systems

Penalty Function

Fuzzy Classifier

Top Venues

IEEE Trans. Fuzzy Syst.

Publications

Marco D'Alessandro, Enrique Calabrés, Mikel Elkano
A Modular End-to-End Multimodal Learning Method for Structured and Unstructured Data. CoRR (2024)
Mikel Elkano, José Antonio Sanz, Edurne Barrenechea, Humberto Bustince, Mikel Galar
CFM-BD: A Distributed Rule Induction Algorithm for Building Compact Fuzzy Models in Big Data Classification Problems. IEEE Trans. Fuzzy Syst. 28 (1) (2020)
Mikel Uriz, Mikel Elkano, Humberto Bustince, Mikel Galar
FUZZ-EQ: A data equalizer for boosting the discrimination power of fuzzy classifiers. Appl. Soft Comput. 93 (2020)
Mikel Elkano, Humberto Bustince, Mikel Galar
Do we still need fuzzy classifiers for Small Data in the Era of Big Data? CoRR (2019)
Mikel Elkano, Mikel Uriz, Humberto Bustince, Mikel Galar
On the usage of the probability integral transform to reduce the complexity of multi-way fuzzy decision trees in Big Data classification problems. CoRR (2019)
Mikel Elkano, Humberto Bustince, Mikel Galar
Do we still need fuzzy classifiers for Small Data in the Era of Big Data? FUZZ-IEEE (2019)
Mikel Elkano, José Antonio Sanz, Edurne Barrenechea, Humberto Bustince, Mikel Galar
CFM-BD: a distributed rule induction algorithm for building Compact Fuzzy Models in Big Data classification problems. CoRR (2019)
Mikel Elkano, Mikel Uriz, Humberto Bustince, Mikel Galar
On the Usage of the Probability Integral Transform to Reduce the Complexity of Multi-Way Fuzzy Decision Trees in Big Data Classification Problems. BigData Congress (2018)
Mikel Elkano, Mikel Galar, José Antonio Sanz, Paula F. Schiavo, Sidnei F. Pereira Jr., Graçaliz Pereira Dimuro, Eduardo N. Borges, Humberto Bustince
Consensus via penalty functions for decision making in ensembles in fuzzy rule-based classification systems. Appl. Soft Comput. 67 (2018)
Mikel Elkano, Mikel Galar, José Antonio Sanz, Humberto Bustince
CHI-BD: A fuzzy rule-based classification system for Big Data classification problems. Fuzzy Sets Syst. 348 (2018)
Mikel Elkano, Mikel Galar, José Antonio Sanz Delgado, Humberto Bustince
CHI-PG: A fast prototype generation algorithm for Big Data classification problems. Neurocomputing 287 (2018)
Mikel Elkano, Humberto Bustince, Andrew P. Paplinski
A Preliminary Approach to Semi-supervised Learning in Convolutional Neural Networks Applying "Sleep-Wake" Cycles. ICONIP (4) (2017)
Humberto Bustince, Radko Mesiar, Anna Kolesárová, Mikel Sesma-Sara, Javier Fernández, Mikel Galar, Mikel Elkano
A New Extension of Monotonicity: Ordered Directional Monotonicity. EUSFLAT/IWIFSGN (1) (2017)
Mikel Elkano, Mikel Galar, José Antonio Sanz, Graçaliz Pereira Dimuro, Humberto Bustince
A global distributed approach to the Chi et al. fuzzy rule-based classification system for big data classification problems. FUZZ-IEEE (2017)
Laura De Miguel, Mikel Sesma-Sara, Mikel Elkano, Maria José Asiain, Humberto Bustince
An algorithm for group decision making using n-dimensional fuzzy sets, admissible orders and OWA operators. Inf. Fusion 37 (2017)
Mikel Elkano, Mikel Galar, José Antonio Sanz, Giancarlo Lucca, Humberto Bustince
IVOVO: A new interval-valued one-vs-one approach for multi-class classification problems. IFSA-SCIS (2017)
Giancarlo Lucca, José Antonio Sanz, Graçaliz Pereira Dimuro, Benjamín R. C. Bedregal, Maria José Asiain, Mikel Elkano, Humberto Bustince
CC-integrals: Choquet-like Copula-based aggregation functions and its application in fuzzy rule-based classification systems. Knowl. Based Syst. 119 (2017)
Mikel Elkano, José Antonio Sanz, Mikel Galar, Barbara Pekala, Urszula Bentkowska, Humberto Bustince
Composition of interval-valued fuzzy relations using aggregation functions. Inf. Sci. 369 (2016)
Alberto Fernández, Mikel Elkano, Mikel Galar, José Antonio Sanz, Saleh Alshomrani, Humberto Bustince, Francisco Herrera
Enhancing evolutionary fuzzy systems for multi-class problems: Distance-based relative competence weighting with truncated confidences (DRCW-TC). Int. J. Approx. Reason. 73 (2016)
Laura De Miguel, Edurne Barrenechea, Miguel Pagola, Aranzazu Jurio, José Antonio Sanz, Mikel Elkano, Humberto Bustince
Unbalanced OWA Operators for Atanassov Intuitionistic Fuzzy Sets. IPMU (2) (2016)
Mikel Elkano, Mikel Galar, José Antonio Sanz, Humberto Bustince
Optimization of Chi-FRBCS-BigDataCS Fuzzy Rule-Based Classification System. FUZZ-IEEE (2016)
Mikel Elkano, Mikel Galar, José Antonio Sanz, Humberto Bustince
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. Inf. Sci. 332 (2016)
Mikel Elkano, Mikel Galar, José Antonio Sanz, Humberto Bustince
Study of n-dimensional overlap functions in Fuzzy Rule-Based Classification Systems. IFSA-EUSFLAT (2015)
Mikel Elkano, Mikel Galar, José Antonio Sanz, Alberto Fernández, Edurne Barrenechea Tartas, Francisco Herrera, Humberto Bustince
Enhancing Multiclass Classification in FARC-HD Fuzzy Classifier: On the Synergy Between $n$-Dimensional Overlap Functions and Decomposition Strategies. IEEE Trans. Fuzzy Syst. 23 (5) (2015)
Mikel Elkano, Mikel Galar, José Antonio Sanz, Edurne Barrenechea, Francisco Herrera, Humberto Bustince
Improving the Performance of FARC-HD in Multi-class Classification Problems Using the One-Versus-One Strategy and an Adaptation of the Inference System. IPMU (3) (2014)