Следене
Mikel Galar
Mikel Galar
Associate Professor of Computer Science and Artificial Intelligence, Universidad Pública de Navarra
Потвърден имейл адрес: unavarra.es - Начална страница
Заглавие
Позовавания
Позовавания
Година
A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Based Approaches
M Galar, A Fernández, E Barrenechea, H Bustince, F Herrera
Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE …, 2012
32802012
Learning from imbalanced data sets
A Fernández, S García, M Galar, RC Prati, B Krawczyk, F Herrera
Springer 10 (2018), 2018
14072018
An overview of ensemble methods for binary classifiers in multi-class problems: Experimental study on one-vs-one and one-vs-all schemes
M Galar, A Fernández, E Barrenechea, H Bustince, F Herrera
Pattern Recognition 44 (8), 1761-1776, 2011
9162011
EUSBoost: Enhancing ensembles for highly imbalanced data-sets by evolutionary undersampling
M Galar, A Fernández, E Barrenechea, F Herrera
Pattern recognition 46 (12), 3460-3471, 2013
4712013
Analysing the classification of imbalanced data-sets with multiple classes: Binarization techniques and ad-hoc approaches
A Fernández, V López, M Galar, M José del Jesus, F Herrera
Knowledge-Based Systems 42, 97-110, 2013
4682013
Evolutionary undersampling boosting for imbalanced classification of breast cancer malignancy
B Krawczyk, M Galar, Ł Jeleń, F Herrera
Applied Soft Computing 38, 714-726, 2016
2932016
A new approach to interval-valued Choquet integrals and the problem of ordering in interval-valued fuzzy sets applications
H Bustince, M Galar, B Bedregal, A Kolesarova, R Mesiar
IEEE Transactions on Fuzzy Systems, 2013
2192013
A survey on fingerprint minutiae-based local matching for verification and identification: Taxonomy and experimental evaluation
D Peralta, M Galar, I Triguero, D Paternain, S García, E Barrenechea, ...
Information Sciences 315, 67-87, 2015
2022015
Medical diagnosis of cardiovascular diseases using an interval-valued fuzzy rule-based classification system
JA Sanz, M Galar, A Jurio, A Brugos, M Pagola, H Bustince
Applied Soft Computing 20, 103-111, 2014
1992014
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
1742014
Analyzing the presence of noise in multi-class problems: alleviating its influence with the one-vs-one decomposition
JA Sáez, M Galar, J Luengo, F Herrera
Knowledge and information systems 38, 179-206, 2014
1732014
Tackling the problem of classification with noisy data using multiple classifier systems: Analysis of the performance and robustness
JA Sáez, M Galar, J Luengo, F Herrera
Information Sciences 247, 1-20, 2013
1392013
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
1342016
Dynamic classifier selection for one-vs-one strategy: avoiding non-competent classifiers
M Galar, A Fernández, E Barrenechea, H Bustince, F Herrera
Pattern Recognition 46 (12), 3412-3424, 2013
1182013
Cost-sensitive learning
A Fernández, S García, M Galar, RC Prati, B Krawczyk, F Herrera, ...
Learning from imbalanced data sets, 63-78, 2018
1082018
DRCW-OVO: distance-based relative competence weighting combination for one-vs-one strategy in multi-class problems
M Galar, A Fernández, E Barrenechea, F Herrera
Pattern recognition 48 (1), 28-42, 2015
1052015
Dynamic ensemble selection for multi-class classification with one-class classifiers
B Krawczyk, M Galar, M Woźniak, H Bustince, F Herrera
Pattern Recognition 83, 34-51, 2018
1042018
INFFC: An iterative class noise filter based on the fusion of classifiers with noise sensitivity control
JA Sáez, M Galar, J Luengo, F Herrera
Information Fusion 27, 19-32, 2016
1042016
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
1032018
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
1012018
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