Mikel Galar

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Humberto BustinceProfessor of Computer Science, Universidad Publica de NavarraZweryfikowany adres z unavarra.es
Francisco HerreraProfessor Computer Science and AI, DaSCI Research Institute, Granada University, SpainZweryfikowany adres z decsai.ugr.es
Alberto Fernández HilarioFull Professor of Computer Science and Artificial Intelligence, University of GranadaZweryfikowany adres z decsai.ugr.es
Edurne BarrenecheaAssociate professor of Computer Science, Universidad Publica de NavarraZweryfikowany adres z unavarra.es
J. SanzAssistant Professor of Computer Science and Artificial Intelligence, Universidad Pública de NavarraZweryfikowany adres z unavarra.es
Daniel PaternainDepartment of Statistics, Computer Science and MathematicsZweryfikowany adres z unavarra.es
Mikel ElkanoNeuraptic AIZweryfikowany adres z neuraptic.ai
Bartosz KrawczykAssistant Professor, Center for Imaging Science, Rochester Institute of Technology, USAZweryfikowany adres z rit.edu
Isaac Triguero VelázquezDistinguished Senior Research Fellow at University of Granada, Associate Professor in Data ScienceZweryfikowany adres z ugr.es
Carlos Lopez-MolinaUniversidad Publica de NavarraZweryfikowany adres z unavarra.es
Miguel PagolaUniversidad Pública de NavarraZweryfikowany adres z unavarra.es
Ronaldo C. PratiAssociate Professor of Computer Science, Universidade Federal do ABCZweryfikowany adres z ufabc.edu.br
Javier Fernandez FernandezUniversidad Pública de NavarraZweryfikowany adres z unavarra.es
Aranzazu JurioPhD., Universidad Publica de NavarraZweryfikowany adres z unavarra.es
Salvador GarcíaFull Professor of Computer Science and Artificial Intelligence. University of Granada.Zweryfikowany adres z decsai.ugr.es
Daniel PeraltaAssistant Professor, Dept. of Computer Science and Artificial Intelligence, University of GranadaZweryfikowany adres z ugr.es
Jose M. BenitezFull Professor, Universidad de GranadaZweryfikowany adres z decsai.ugr.es
José A. SáezDept. of Statistics and Operations Research, University of GranadaZweryfikowany adres z ugr.es
Mikel UrizUniversidad pública de NavarraZweryfikowany adres z unavarra.es
Radko MesiarSTU Bratislava, Slovakia, Faculty of Civil Engineering, Dept. Mathematics and Descriptive GeometryZweryfikowany adres z math.sk

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Mikel Galar

Associate Professor of Computer Science and Artificial Intelligence, Universidad Pública de Navarra

Zweryfikowany adres z unavarra.es - Strona główna

Artificial Intelligence Data Mining Machine Learning Classification Ensembles


Tytuł Sortuj wg cytatów Sortuj wg roku Sortuj wg tytułu	Cytowane przez Cytowane przez	Rok
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	3333	2012
Learning from imbalanced data sets A Fernández Springer, 2018	1471	2018
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	938	2011
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	481	2013
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	477	2013
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	297	2016
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	222	2013
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	203	2015
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	200	2014
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	182	2014
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	179	2014
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	142	2013
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	139	2016
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	120	2013
Cost-sensitive learning A Fernández, S García, M Galar, RC Prati, B Krawczyk, F Herrera, ... Learning from imbalanced data sets, 63-78, 2018	115	2018
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	113	2016
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	111	2015
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	110	2018
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	105	2018
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	105	2018

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