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2020 – today
- 2024
[i4]Marco D'Alessandro, Enrique Calabrés
, Mikel Elkano:
A Modular End-to-End Multimodal Learning Method for Structured and Unstructured Data. CoRR abs/2403.04866 (2024)- 2020
- [j11]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: 106399 (2020) - [j10]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): 163-177 (2020)
2010 – 2019
- 2019
- [c10]Mikel Elkano, Humberto Bustince, Mikel Galar:
Do we still need fuzzy classifiers for Small Data in the Era of Big Data? FUZZ-IEEE 2019: 1-6 - [i3]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 abs/1902.09357 (2019) - [i2]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 abs/1903.00345 (2019) - [i1]Mikel Elkano, Humberto Bustince, Mikel Galar:
Do we still need fuzzy classifiers for Small Data in the Era of Big Data? CoRR abs/1903.03324 (2019) - 2018
- [j9]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: 728-740 (2018) - [j8]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: 75-101 (2018) - [j7]Mikel Elkano, Mikel Galar, José Antonio Sanz Delgado, Humberto Bustince:
CHI-PG: A fast prototype generation algorithm for Big Data classification problems. Neurocomputing 287: 22-33 (2018) - [c9]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: 25-32 - 2017
- [j6]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: 126-131 (2017) - [j5]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: 32-43 (2017) - [c8]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: 295-305 - [c7]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: 1-6 - [c6]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: 466-474 - [c5]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: 1-6 - 2016
- [j4]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: 108-122 (2016) - [j3]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: 94-114 (2016) - [j2]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: 690-703 (2016) - [c4]Mikel Elkano, Mikel Galar, José Antonio Sanz, Humberto Bustince:
Optimization of Chi-FRBCS-BigDataCS Fuzzy Rule-Based Classification System. FUZZ-IEEE 2016: 907-914 - [c3]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: 435-444 - 2015
- [j1]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): 1562-1580 (2015) - [c2]Mikel Elkano, Mikel Galar, José Antonio Sanz, Humberto Bustince:
Study of n-dimensional overlap functions in Fuzzy Rule-Based Classification Systems. IFSA-EUSFLAT 2015 - 2014
- [c1]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: 296-306
Coauthor Index
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