Alberto Fernández Hilario

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Francisco HerreraProfessor Computer Science and AI, DaSCI Research Institute, Granada University, SpainDirección de correo verificada de decsai.ugr.es
Salvador GarcíaFull Professor of Computer Science and Artificial Intelligence. University of Granada.Dirección de correo verificada de decsai.ugr.es
Mikel GalarAssociate Professor of Computer Science and Artificial Intelligence, Universidad Pública de NavarraDirección de correo verificada de unavarra.es
Humberto BustinceProfessor of Computer Science, Universidad Publica de NavarraDirección de correo verificada de unavarra.es
María José Del Jesus DíazAssociate professor of Computer Science, University of JaénDirección de correo verificada de ujaen.es
Edurne BarrenecheaAssociate professor of Computer Science, Universidad Publica de NavarraDirección de correo verificada de unavarra.es
Julián Luengo MartínAssociate Professor at University of GranadaDirección de correo verificada de decsai.ugr.es
Victoria Lopez MoralesResearch Associate, Imperial College LondonDirección de correo verificada de imperial.ac.uk
Ronaldo C. PratiAssociate Professor of Computer Science, Universidade Federal do ABCDirección de correo verificada de ufabc.edu.br
Bartosz KrawczykAssistant Professor, Center for Imaging Science, Rochester Institute of Technology, USADirección de correo verificada de rit.edu
J. SanzAssistant Professor of Computer Science and Artificial Intelligence, Universidad Pública de NavarraDirección de correo verificada de unavarra.es
Joaquin Derrac RusData ScientistDirección de correo verificada de gresearch.co.uk
Jesus Alcala-FdezFull Professor of Computer Science and Artificial Intelligence, University of GranadaDirección de correo verificada de decsai.ugr.es
Saleh AlshomraniKing Abdulaziz UniversityDirección de correo verificada de kau.edu.sa
Jose M. BenitezFull Professor, Universidad de GranadaDirección de correo verificada de decsai.ugr.es
Nitesh V Chawla, Fellow: ACM, IEEE,...Frank Freimann Professor of CSE.,Director, Lucy Family Institute for Data & Soc, Univ. of Notre DameDirección de correo verificada de nd.edu
Isaac Triguero VelázquezDistinguished Senior Research Fellow at University of Granada, Associate Professor in Data ScienceDirección de correo verificada de ugr.es
Sara del Río GarcíaSystems engineer, RHEA Group for European Space AgencyDirección de correo verificada de sciops.esa.int
Vasile PaladeProfessor of Artificial Intelligence and Data Science, Coventry UniversityDirección de correo verificada de coventry.ac.uk
Michael HackenbergUniversidad de GranadaDirección de correo verificada de ugr.es

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Alberto Fernández Hilario

Full Professor of Computer Science and Artificial Intelligence, University of Granada

Dirección de correo verificada de decsai.ugr.es - Página principal

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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	3317	2012
KEEL data-mining software tool: data set repository, integration of algorithms and experimental analysis framework J Alcalá-Fdez, A Fernández, J Luengo, J Derrac, ... Journal of Multiple-Valued Logic and Soft Computing 17 (2-3), 255-287, 2011	3008*	2011
Advanced nonparametric tests for multiple comparisons in the design of experiments in computational intelligence and data mining: Experimental analysis of power S García, A Fernández, J Luengo, F Herrera Information sciences 180 (10), 2044-2064, 2010	2305	2010
SMOTE for Learning from Imbalanced Data: Progress and Challenges, Marking the 15-year Anniversary A Fernandez, S Garcia, F Herrera, NV Chawla Journal of Artificial Intelligence Research 61, 863-905, 2018	2012	2018
An insight into classification with imbalanced data: Empirical results and current trends on using data intrinsic characteristics V López, A Fernández, S García, V Palade, F Herrera Information sciences 250, 113-141, 2013	1921	2013
Learning from imbalanced data sets A Fernández, S García, M Galar, RC Prati, B Krawczyk, F Herrera Springer 10 (2018), 2018	1445	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	927	2011
A study of statistical techniques and performance measures for genetics-based machine learning: accuracy and interpretability S García, A Fernández, J Luengo, F Herrera Soft Computing 13, 959-977, 2009	806	2009
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, 2013	479	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	474	2013
A study of the behaviour of linguistic fuzzy rule based classification systems in the framework of imbalanced data-sets A Fernández, S García, MJ del Jesus, F Herrera Fuzzy Sets and Systems 159 (18), 2378-2398, 2008	376	2008
Analysis of preprocessing vs. cost-sensitive learning for imbalanced classification. Open problems on intrinsic data characteristics V López, A Fernández, JG Moreno-Torres, F Herrera Expert Systems with Applications 39 (7), 6585-6608, 2012	375	2012
Big Data with Cloud Computing: an insight on the computing environment, MapReduce, and programming frameworks A Fernández, S del Río, V López, A Bawakid, MJ del Jesus, JM Benítez, ... Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 4 (5 …, 2014	352	2014
KEEL 3.0: an open source software for multi-stage analysis in data mining I Triguero, S González, JM Moyano, S García, J Alcalá-Fdez, J Luengo, ... International Journal of Computational Intelligence Systems 10 (1), 1238-1249, 2017	295	2017
On the combination of genetic fuzzy systems and pairwise learning for improving detection rates on intrusion detection systems S Elhag, A Fernández, A Bawakid, S Alshomrani, F Herrera Expert Systems with Applications 42 (1), 193-202, 2015	280	2015
An insight into imbalanced Big Data classification: outcomes and challenges A Fernández, S del Río, NV Chawla, F Herrera Complex & Intelligent Systems 3, 105-120, 2017	278	2017
Evolutionary fuzzy systems for explainable artificial intelligence: Why, when, what for, and where to? A Fernandez, F Herrera, O Cordon, MJ del Jesus, F Marcelloni IEEE Computational intelligence magazine 14 (1), 69-81, 2019	258	2019
Addressing data complexity for imbalanced data sets: analysis of SMOTE-based oversampling and evolutionary undersampling J Luengo, A Fernández, S García, F Herrera Soft Computing-A Fusion of Foundations, Methodologies and Applications 15 …, 2011	239	2011
Hierarchical fuzzy rule based classification systems with genetic rule selection for imbalanced data-sets A Fernández, MJ del Jesus, F Herrera International Journal of Approximate Reasoning 50 (3), 561-577, 2009	236	2009
Genetics-based machine learning for rule induction: state of the art, taxonomy, and comparative study A Fernández, S García, J Luengo, E Bernadó-Mansilla, F Herrera IEEE Transactions on Evolutionary Computation 14 (6), 913-941, 2010	217	2010

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