According to our database1, Mikel Elkano authored at least 21 papers between 2014 and 2019.
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Do we still need fuzzy classifiers for Small Data in the Era of Big Data?
On the usage of the probability integral transform to reduce the complexity of multi-way fuzzy decision trees in Big Data classification problems.
CFM-BD: a distributed rule induction algorithm for building Compact Fuzzy Models in Big Data classification problems.
CHI-PG: A fast prototype generation algorithm for Big Data classification problems.
CHI-BD: A fuzzy rule-based classification system for Big Data classification problems.
Fuzzy Sets and Systems, 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
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.
Information 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
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. Reasoning, 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
Enhancing Multiclass Classification in FARC-HD Fuzzy Classifier: On the Synergy Between $n$-Dimensional Overlap Functions and Decomposition Strategies.
IEEE Trans. Fuzzy Systems, 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
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