On the Usage of the Probability Integral Transform to Reduce the Complexity of Multi-Way Fuzzy Decision Trees in Big Data Classification Problems. - Mikel Elkano; Mikel Uriz; Humberto Bustince; Mikel Galar (BigData Congress, 2018)

A first approach towards the usage of classifiers' performance to create fuzzy measures for ensembles of classifiers: a case study on highly imbalanced datasets. - Mikel Uriz; Daniel Paternain; Humberto Bustince; Mikel Galar (FUZZ-IEEE, 2018)

A Study of Different Families of Fusion Functions for Combining Classifiers in the One-vs-One Strategy. - Mikel Uriz; Daniel Paternain; Aranzazu Jurio; Humberto Bustince; Mikel Galar (IPMU (2), 2018)

On the Influence of Admissible Orders in IVOVO. - Mikel Uriz; Daniel Paternain; Humberto Bustince; Mikel Galar (HAIS, 2019)

On the Influence of Interval Normalization in IVOVO Fuzzy Multi-class Classifier. - Mikel Uriz; Daniel Paternain; Humberto Bustince; Mikel Galar (IFSA/NAFIPS, 2019)

An Empirical Study on Supervised and Unsupervised Fuzzy Measure Construction Methods in Highly Imbalanced Classification. - Mikel Uriz; Daniel Paternain; Humberto Bustince; Mikel Galar (FUZZ-IEEE, 2020)

Unsupervised Fuzzy Measure Learning for Classifier Ensembles From Coalitions Performance. - Mikel Uriz; Daniel Paternain; Iris Dominguez-Catena; Humberto Bustince; Mikel Galar (IEEE Access, 2020)

FUZZ-EQ: A data equalizer for boosting the discrimination power of fuzzy classifiers. - Mikel Uriz; Mikel Elkano; Humberto Bustince; Mikel Galar (Appl. Soft Comput., 2020)

Discrete IV dG-Choquet integrals with respect to admissible orders. - Zdenko Takác; Mikel Uriz; Mikel Galar; Daniel Paternain; Humberto Bustince (Fuzzy Sets Syst., 2022)

A supervised fuzzy measure learning algorithm for combining classifiers. - Mikel Uriz; Daniel Paternain; Humberto Bustince; Mikel Galar (Inf. Sci., 2023)