Alberto Fernández Hilario 个人学术档案

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Francisco HerreraProfessor Computer Science and AI, DaSCI Research Institute, Granada University, Spain在 decsai.ugr.es 的电子邮件经过验证
Salvador GarcíaFull Professor of Computer Science and Artificial Intelligence. University of Granada.在 decsai.ugr.es 的电子邮件经过验证
Mikel GalarAssociate Professor of Computer Science and Artificial Intelligence, Universidad Pública de Navarra在 unavarra.es 的电子邮件经过验证
Humberto BustinceProfessor of Computer Science, Universidad Publica de Navarra在 unavarra.es 的电子邮件经过验证
María José Del Jesus DíazAssociate professor of Computer Science, University of Jaén在 ujaen.es 的电子邮件经过验证
Edurne BarrenecheaAssociate professor of Computer Science, Universidad Publica de Navarra在 unavarra.es 的电子邮件经过验证
Julián Luengo MartínAssociate Professor at University of Granada在 decsai.ugr.es 的电子邮件经过验证
Victoria Lopez MoralesResearch Associate, Imperial College London在 imperial.ac.uk 的电子邮件经过验证
Ronaldo C. PratiAssociate Professor of Computer Science, Universidade Federal do ABC在 ufabc.edu.br 的电子邮件经过验证
Bartosz KrawczykAssistant Professor, Center for Imaging Science, Rochester Institute of Technology, USA在 rit.edu 的电子邮件经过验证
J. SanzAssistant Professor of Computer Science and Artificial Intelligence, Universidad Pública de Navarra在 unavarra.es 的电子邮件经过验证
Joaquin Derrac RusData Scientist在 gresearch.co.uk 的电子邮件经过验证
Jesus Alcala-FdezFull Professor of Computer Science and Artificial Intelligence, University of Granada在 decsai.ugr.es 的电子邮件经过验证
Saleh AlshomraniKing Abdulaziz University在 kau.edu.sa 的电子邮件经过验证
Jose M. BenitezFull Professor, Universidad de Granada在 decsai.ugr.es 的电子邮件经过验证
Nitesh V Chawla, Fellow: ACM, IEEE,...Frank Freimann Professor of CSE.,Director, Lucy Family Institute for Data & Soc, Univ. of Notre Dame在 nd.edu 的电子邮件经过验证
Isaac Triguero VelázquezDistinguished Senior Research Fellow at University of Granada, Associate Professor in Data Science在 nottingham.ac.uk 的电子邮件经过验证
Sara del Río GarcíaSystems engineer, RHEA Group for European Space Agency在 sciops.esa.int 的电子邮件经过验证
Vasile PaladeProfessor of Artificial Intelligence and Data Science, Coventry University在 coventry.ac.uk 的电子邮件经过验证
Pedro Henriques AbreuAssociate Professor, Department of Informatics Engineering, University of Coimbra在 dei.uc.pt 的电子邮件经过验证

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Alberto Fernández Hilario

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

在 decsai.ugr.es 的电子邮件经过验证 - 首页

Trustworthy AI XAI Machine Learning Data Science


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
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	3174	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	2886*	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	2233	2010
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	1841	2013
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	1763	2018
Learning from imbalanced data sets A Fernández, S García, M Galar, RC Prati, B Krawczyk, F Herrera Springer 10 (2018), 2018	1310	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	881	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	788	2009
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	459	2013
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	458	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	367	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	365	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	346	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	284	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	271	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	259	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	240	2019
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	232	2009
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	225	2011
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	212	2010

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