Jose M. Benitez

Citat de

	Toate	Din 2020
Referințe bibliografice	10985	5539
h-index	42	31
i10-index	86	66

1300

650

325

975

2000200120022003200420052006200720082009201020112012201320142015201620172018201920202021202220232024202534 32 31 37 42 41 57 55 69 84 103 120 118 171 269 451 652 826 1008 1087 1157 1228 1058 1037 954 100

Acces public

Afișați-le pe toate

72 de articole

12 articole

disponibile

indisponibile

Pe baza cerințelor privind finanțarea

Coautori

Francisco HerreraProfessor Computer Science and AI, DaSCI Research Institute, Granada University, SpainAdresă de e-mail confirmată pe decsai.ugr.es
Christoph BergmeirUniversity of GranadaAdresă de e-mail confirmată pe monash.edu
Salvador GarcíaFull Professor of Computer Science and Artificial Intelligence. University of Granada.Adresă de e-mail confirmată pe decsai.ugr.es
Isaac Triguero VelázquezDistinguished Senior Research Fellow at University of Granada, Associate Professor in Data ScienceAdresă de e-mail confirmată pe ugr.es
Daniel PeraltaAssistant Professor, Dept. of Computer Science and Artificial Intelligence, University of GranadaAdresă de e-mail confirmată pe ugr.es
Juan Luis CastroProfessor of Computer Science and Artificial Intelligence. University of GranadaAdresă de e-mail confirmată pe decsai.ugr.es
Sara del Río GarcíaSystems engineer, RHEA Group for European Space AgencyAdresă de e-mail confirmată pe sciops.esa.int
Antonio Arauzo-AzofraUniversidad de CórdobaAdresă de e-mail confirmată pe uco.es
Victoria Lopez MoralesResearch Associate, Imperial College LondonAdresă de e-mail confirmată pe imperial.ac.uk
Veronica Bolon-CanedoAssociate Professor, Universidade da Coruña, CITICAdresă de e-mail confirmată pe udc.es
Amparo Alonso-BetanzosCatedrática de Computación, CITIC (UDC)Adresă de e-mail confirmată pe udc.es
Miguel LastraProfesor Contratado Doctor de la Universidad de Granada (Associate Professor)Adresă de e-mail confirmată pe ugr.es
José Luis AznarteAssociate Professor. Artificial Intelligence Department, UNED.Adresă de e-mail confirmată pe dia.uned.es
Lala Septem RizaUniversitas Pendidikan IndonesiaAdresă de e-mail confirmată pe upi.edu
Manuel J. Parra RoyónPostdoctoral Researcher, IAA-CSIC. Department of Extragalactic AstronomyAdresă de e-mail confirmată pe decsai.ugr.es
Mikel GalarAssociate Professor of Computer Science and Artificial Intelligence, Universidad Pública de NavarraAdresă de e-mail confirmată pe unavarra.es
Francisco Javier Baldán LozanoDepartment of Computer Science, University of Jaén, Jaén, SpainAdresă de e-mail confirmată pe ujaen.es
Alberto Fernández HilarioFull Professor of Computer Science and Artificial Intelligence, University of GranadaAdresă de e-mail confirmată pe decsai.ugr.es
Humberto BustinceProfessor of Computer Science, Universidad Publica de NavarraAdresă de e-mail confirmată pe unavarra.es
Rafael AlcaláFull Professor of Computer Science and Artificial Intelligence, University of GranadaAdresă de e-mail confirmată pe decsai.ugr.es

Urmăriți

Jose M. Benitez

Full Professor, Universidad de Granada

Adresă de e-mail confirmată pe decsai.ugr.es

Big Data Cloud Computing Time Series Computational Intelligence Biometrics


Titlu Sortați după descrierea bibliografică Sortați după an Sortați după titlu	Citat de Citat de	Anul
On the use of cross-validation for time series predictor evaluation C Bergmeir, JM Benítez Information Sciences 191, 192-213, 2012	1154	2012
Big data preprocessing: methods and prospects S García, S Ramírez-Gallego, J Luengo, JM Benítez, F Herrera Big data analytics 1, 1-22, 2016	830	2016
A review of microarray datasets and applied feature selection methods V Bolón-Canedo, N Sánchez-Marono, A Alonso-Betanzos, JM Benítez, ... Information sciences 282, 111-135, 2014	778	2014
Are artificial neural networks black boxes? JM Benítez, JL Castro, I Requena IEEE Transactions on neural networks 8 (5), 1156-1164, 1997	751	1997
On the use of mapreduce for imbalanced big data using random forest S Del Río, V López, JM Benítez, F Herrera Information Sciences 285, 112-137, 2014	437	2014
Bagging exponential smoothing methods using STL decomposition and Box–Cox transformation C Bergmeir, RJ Hyndman, JM Benítez International journal of forecasting 32 (2), 303-312, 2016	433	2016
Neural networks in R using the Stuttgart neural network simulator: RSNNS C Bergmeir, JM Benítez Journal of statistical Software 46, 1-26, 2012	410	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	354	2014
Cost-sensitive linguistic fuzzy rule based classification systems under the MapReduce framework for imbalanced big data V López, S Del Río, JM Benítez, F Herrera Fuzzy Sets and Systems 258, 5-38, 2015	321	2015
frbs: Fuzzy rule-based systems for classification and regression in R LS Riza, C Bergmeir, F Herrera, JM Benítez Journal of statistical software 65, 1-30, 2015	242	2015
Implementing algorithms of rough set theory and fuzzy rough set theory in the R package “RoughSets” LS Riza, A Janusz, C Bergmeir, C Cornelis, F Herrera, D Śle, JM Benítez Information sciences 287, 68-89, 2014	212	2014
Data discretization: taxonomy and big data challenge S Ramírez‐Gallego, S García, H Mouriño‐Talín, D Martínez‐Rego, ... Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 6 (1), 5-21, 2016	203	2016
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
Fast‐mRMR: Fast minimum redundancy maximum relevance algorithm for high‐dimensional big data S Ramírez‐Gallego, I Lastra, D Martínez‐Rego, V Bolón‐Canedo, ... International Journal of Intelligent Systems 32 (2), 134-152, 2017	194	2017
ROSEFW-RF: the winner algorithm for the ECBDL’14 big data competition: an extremely imbalanced big data bioinformatics problem I Triguero, S Del Río, V López, J Bacardit, JM Benítez, F Herrera Knowledge-Based Systems 87, 69-79, 2015	191	2015
Fuzzy control of HVAC systems optimized by genetic algorithms R Alcalá, JM Benítez, J Casillas, O Cordón, R Pérez Applied Intelligence 18, 155-177, 2003	185	2003
Evolutionary feature selection for big data classification: A mapreduce approach D Peralta, S Del Río, S Ramírez-Gallego, I Triguero, JM Benitez, ... Mathematical Problems in Engineering 2015 (1), 246139, 2015	183	2015
Artificial neural network-based equation for estimating VO2max from the 20 m shuttle run test in adolescents JR Ruiz, J Ramirez-Lechuga, FB Ortega, J Castro-Pinero, JM Benitez, ... Artificial intelligence in medicine 44 (3), 233-245, 2008	180	2008
Interpretation of artificial neural networks by means of fuzzy rules JL Castro, CJ Mantas, JM Benítez IEEE Transactions on Neural Networks 13 (1), 101-116, 2002	164	2002
An overview of e-learning in cloud computing A Fernandez, D Peralta, F Herrera, JM Benítez Workshop on Learning Technology for Education in Cloud (LTEC'12), 35-46, 2012	158	2012

Sistemul nu poate realiza operația în acest moment. Încercați din nou mai târziu.

Articole 1–20

Referințe bibliografice pe an

Citate duplicat

Citate fuzionate

Adăugați coautoriCoautori

Urmăriți

Citat de

Coautori