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Mikel Galar
Mikel Galar
Associate Professor of Computer Science and Artificial Intelligence, Universidad Pública de Navarra
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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
30402012
Learning from imbalanced data sets
A Fernández, S García, M Galar, RC Prati, B Krawczyk, F Herrera
Springer 10 (2018), 2018
11762018
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
8502011
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
4432013
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
4402013
Evolutionary undersampling boosting for imbalanced classification of breast cancer malignancy
B Krawczyk, M Galar, ¨© Jeleń, F Herrera
Applied Soft Computing 38, 714-726, 2016
2702016
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
2132013
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
1942015
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
1842014
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
1672014
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
1612014
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
1322013
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
1232016
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
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
1032015
Ordering-based pruning for improving the performance of ensembles of classifiers in the framework of imbalanced datasets
M Galar, A Fernández, E Barrenechea, H Bustince, F Herrera
Information Sciences 354, 178-196, 2016
992016
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
962018
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
962016
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
A survey of fingerprint classification Part I: Taxonomies on feature extraction methods and learning models
M Galar, J Derrac, D Peralta, I Triguero, D Paternain, C Lopez-Molina, ...
Knowledge-based systems 81, 76-97, 2015
912015
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