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Mikel Elkano
Mikel Elkano
Neuraptic AI
Dirección de correo verificada de neuraptic.ai - Página principal
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Enhancing Multiclass Classification in FARC-HD Fuzzy Classifier: On the Synergy Between-Dimensional Overlap Functions and Decomposition Strategies
M Elkano, M Galar, JA Sanz, A Fernández, E Barrenechea, F Herrera, ...
IEEE Transactions on Fuzzy Systems 23 (5), 1562-1580, 2014
1682014
CC-integrals: Choquet-like copula-based aggregation functions and its application in fuzzy rule-based classification systems
G Lucca, JA Sanz, GP Dimuro, B Bedregal, MJ Asiain, M Elkano, ...
Knowledge-Based Systems 119, 32-43, 2017
1672017
Fuzzy Rule-Based Classification Systems for multi-class problems using binary decomposition strategies: On the influence of n-dimensional overlap functions in the …
M Elkano, M Galar, J Sanz, H Bustince
Information Sciences 332, 94-114, 2016
1252016
CHI-BD: A fuzzy rule-based classification system for Big Data classification problems
M Elkano, M Galar, J Sanz, H Bustince
Fuzzy Sets and Systems 348, 75-101, 2018
972018
Consensus via penalty functions for decision making in ensembles in fuzzy rule-based classification systems
M Elkano, M Galar, JA Sanz, PF Schiavo, S Pereira Jr, GP Dimuro, ...
Applied Soft Computing 67, 728-740, 2018
952018
An algorithm for group decision making using n-dimensional fuzzy sets, admissible orders and OWA operators
L De Miguel, M Sesma-Sara, M Elkano, M Asiain, H Bustince
Information Fusion 37, 126-131, 2017
622017
CFM-BD: A distributed rule induction algorithm for building compact fuzzy models in big data classification problems
M Elkano, JA Sanz, E Barrenechea, H Bustince, M Galar
IEEE Transactions on Fuzzy Systems 28 (1), 163-177, 2019
462019
Composition of interval-valued fuzzy relations using aggregation functions
M Elkano, JA Sanz, M Galar, B Pȩkala, U Bentkowska, H Bustince
Information Sciences 369, 690-703, 2016
312016
CHI-PG: A fast prototype generation algorithm for Big Data classification problems
M Elkano, M Galar, J Sanz, H Bustince
Neurocomputing 287, 22-33, 2018
202018
IVOVO: a new interval-valued one-vs-one approach for multi-class classification problems
M Elkano, M Galar, J Sanz, G Lucca, H Bustince
2017 Joint 17th World Congress of International Fuzzy Systems Association …, 2017
92017
Enhancing evolutionary fuzzy systems for multi-class problems: Distance-based relative competence weighting with truncated confidences (DRCW-TC)
A Fernández, M Elkano, M Galar, JA Sanz, S Alshomrani, H Bustince, ...
International Journal of Approximate Reasoning 73, 108-122, 2016
92016
Do we still need fuzzy classifiers for Small Data in the Era of Big Data?
M Elkano, H Bustince, M Galar
2019 IEEE international conference on fuzzy systems (FUZZ-IEEE), 1-6, 2019
62019
FUZZ-EQ: A data equalizer for boosting the discrimination power of fuzzy classifiers
M Uriz, M Elkano, H Bustince, M Galar
Applied Soft Computing 93, 106399, 2020
52020
On the usage of the probability integral transform to reduce the complexity of multi-way fuzzy decision trees in Big Data classification problems
M Elkano, M Uriz, H Bustince, M Galar
2018 IEEE International Congress on Big Data (BigData Congress), 25-32, 2018
42018
A new extension of monotonicity: Ordered directional monotonicity
H Bustince, R Mesiar, A Kolesárová, M Sesma-Sara, J Fernandez, ...
Advances in Fuzzy Logic and Technology 2017: Proceedings of: EUSFLAT-2017 …, 2018
22018
A global distributed approach to the Chi et al. fuzzy rule-based classification system for big data classification problems
M Elkano, M Galar, J Sanz, GP Dimuro, H Bustince
2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-6, 2017
22017
Optimization of chi-frbcs-bigdatacs fuzzy rule-based classification system
M Elkano, M Galar, J Sanz, H Bustince
2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 907-914, 2016
12016
Study of n-dimensional overlap functions in Fuzzy Rule-Based Classification Systems
M Elkano, M Galar, J Sanz, H Bustince
2015 Conference of the International Fuzzy Systems Association and the …, 2015
12015
Novel methodologies for improving fuzzy classifiers: dealing with multi-class and big data classification problems
M Elkano
Universidad Pública de Navarra, 2018
2018
Aplicando la transformada integral de la probabilidad para reducir la complejidad de los árboles de decision difusos multi-vıa en problemas de clasificacion Big Data
M Elkano, M Uriz, H Bustince, M Galar
XVIII Conferencia de la Asociación Española para la Inteligencia Artificial …, 2018
2018
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