Mikel Elkano

Orcid: 0000-0001-7261-7868

According to our database1, Mikel Elkano authored at least 22 papers between 2014 and 2024.

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Bibliography

2024
A Modular End-to-End Multimodal Learning Method for Structured and Unstructured Data.
CoRR, 2024

2020
CFM-BD: A Distributed Rule Induction Algorithm for Building Compact Fuzzy Models in Big Data Classification Problems.
IEEE Trans. Fuzzy Syst., 2020

FUZZ-EQ: A data equalizer for boosting the discrimination power of fuzzy classifiers.
Appl. Soft Comput., 2020

2019
Do we still need fuzzy classifiers for Small Data in the Era of Big Data?
Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019

2018
CHI-PG: A fast prototype generation algorithm for Big Data classification problems.
Neurocomputing, 2018

CHI-BD: A fuzzy rule-based classification system for Big Data classification problems.
Fuzzy Sets Syst., 2018

Consensus via penalty functions for decision making in ensembles in fuzzy rule-based classification systems.
Appl. Soft Comput., 2018

On the Usage of the Probability Integral Transform to Reduce the Complexity of Multi-Way Fuzzy Decision Trees in Big Data Classification Problems.
Proceedings of the 2018 IEEE International Congress on Big Data, 2018

2017
CC-integrals: Choquet-like Copula-based aggregation functions and its application in fuzzy rule-based classification systems.
Knowl. Based Syst., 2017

An algorithm for group decision making using n-dimensional fuzzy sets, admissible orders and OWA operators.
Inf. Fusion, 2017

IVOVO: A new interval-valued one-vs-one approach for multi-class classification problems.
Proceedings of the Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems, 2017

A Preliminary Approach to Semi-supervised Learning in Convolutional Neural Networks Applying "Sleep-Wake" Cycles.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

A global distributed approach to the Chi et al. fuzzy rule-based classification system for big data classification problems.
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

A New Extension of Monotonicity: Ordered Directional Monotonicity.
Proceedings of the Advances in Fuzzy Logic and Technology 2017 - Proceedings of: EUSFLAT-2017 - The 10th Conference of the European Society for Fuzzy Logic and Technology, September 11-15, 2017, Warsaw, Poland IWIFSGN'2017, 2017

2016
Composition of interval-valued fuzzy relations using aggregation functions.
Inf. Sci., 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.
Inf. Sci., 2016

Enhancing evolutionary fuzzy systems for multi-class problems: Distance-based relative competence weighting with truncated confidences (DRCW-TC).
Int. J. Approx. Reason., 2016

Unbalanced OWA Operators for Atanassov Intuitionistic Fuzzy Sets.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2016

Optimization of Chi-FRBCS-BigDataCS Fuzzy Rule-Based Classification System.
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

2015
Enhancing Multiclass Classification in FARC-HD Fuzzy Classifier: On the Synergy Between $n$-Dimensional Overlap Functions and Decomposition Strategies.
IEEE Trans. Fuzzy Syst., 2015

Study of n-dimensional overlap functions in Fuzzy Rule-Based Classification Systems.
Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (IFSA-EUSFLAT-15), 2015

2014
Improving the Performance of FARC-HD in Multi-class Classification Problems Using the One-Versus-One Strategy and an Adaptation of the Inference System.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2014


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