Veronica Bolon Canedo

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	All	Since 2016
Citations	3407	2962
h-index	26	25
i10-index	50	47

780

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Co-authors

Amparo Alonso-BetanzosCatedrática de Computación, CITIC (UDC)Verified email at udc.es
Noelia Sánchez-MaroñoAssociate Professor of Computer Science. University of A CoruñaVerified email at udc.es
Jose M. BenitezFull Professor, Universidad de GranadaVerified email at decsai.ugr.es
Laura Morán-FernándezAssistant Lecturer, CITIC, Universidade da CoruñaVerified email at udc.es
Francisco HerreraProfessor Computer Science and AI, Granada Univ.; Senior Associate Researcher in DL&ML at Sherpa.aiVerified email at decsai.ugr.es
Borja Seijo-PardoPhD Student in Computer Science, University of A CoruñaVerified email at udc.es
Beatriz RemeseiroAssistant Professor, University of OviedoVerified email at uniovi.es
David Martinez RegoUniversity of A Corunna, University College LondonVerified email at dataspartan.com
Sergio Ramírez-GallegoPhD. Student Computer Science, University of GranadaVerified email at decsai.ugr.es
Jayashree Kalpathy-CramerMGH/Harvard Medical SchoolVerified email at mgh.harvard.edu
Michael F. ChiangDirector, National Eye Institute, National Institutes of HealthVerified email at nih.gov
Esra Ataer-CansizogluFacebookVerified email at fb.com
Deniz ErdogmusProfessor of ECE, Northeastern UniversityVerified email at ece.neu.edu
Diego Peteiro-BarralResearch assistant, University of A CoruñaVerified email at udc.es
Bertha Guijarro-BerdiñasUniversity of A CoruñaVerified email at UDC.ES
R.V. Paul Chan, MD, MSc, MBAProfessor of Ophthalmology and Visual Sciences, Illinois Eye and Ear Infirmary, University ofVerified email at uic.edu
Oscar Fontenla-RomeroAssociate Professor of Computer Science. University of A Coruña (Spain)Verified email at udc.es
Manuel González PenedoUDC, CITIC Research CenterVerified email at udc.es
J Peter CampbellOregon Health & Science UniversityVerified email at ohsu.edu
Alican BozkurtDepartment of Electrical and Computer Engineering, Northeastern UniversityVerified email at ece.neu.edu

Veronica Bolon Canedo

Assistant Professor, Universidade da Coruña, CITIC

Verified email at udc.es

Feature Selection Artificial Intelligence Machine Learning


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A review of feature selection methods on synthetic data V Bolón-Canedo, N Sánchez-Maroño, A Alonso-Betanzos Knowledge and information systems 34 (3), 483-519, 2013	517	2013
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	445	2014
Recent advances and emerging challenges of feature selection in the context of big data V Bolón-Canedo, N Sánchez-Maroño, A Alonso-Betanzos Knowledge-Based Systems 86, 33-45, 2015	209	2015
Feature selection and classification in multiple class datasets: An application to KDD Cup 99 dataset V Bolon-Canedo, N Sanchez-Marono, A Alonso-Betanzos Expert Systems with Applications 38 (5), 5947-5957, 2011	187	2011
Artificial Intelligence: Foundations, Theory, and Algorithms Feature Selection for High-Dimensional Data AB Verónica Bolón, M Amparo, CN Sánchez Springer, 2017	152*	2017
An ensemble of filters and classifiers for microarray data classification V Bolón-Canedo, N Sánchez-Maroño, A Alonso-Betanzos Pattern Recognition 45 (1), 531-539, 2012	146	2012
Distributed feature selection: An application to microarray data classification V Bolón-Canedo, N Sánchez-Maroño, A Alonso-Betanzos Applied soft computing 30, 136-150, 2015	111	2015
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	105	2016
Ensemble feature selection: homogeneous and heterogeneous approaches B Seijo-Pardo, I Porto-Díaz, V Bolón-Canedo, A Alonso-Betanzos Knowledge-Based Systems 118, 124-139, 2017	91	2017
Ensembles for feature selection: A review and future trends V Bolón-Canedo, A Alonso-Betanzos Information Fusion 52, 1-12, 2019	82	2019
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	77	2017
Data classification using an ensemble of filters V Bolón-Canedo, N Sánchez-Marono, A Alonso-Betanzos Neurocomputing 135, 13-20, 2014	77	2014
Feature selection for high-dimensional data V Bolón-Canedo, N Sánchez-Maroño, A Alonso-Betanzos Progress in Artificial Intelligence 5 (2), 65-75, 2016	68	2016
Computer-based image analysis for plus disease diagnosis in retinopathy of prematurity: performance of the “i-ROP” system and image features associated with expert diagnosis E Ataer-Cansizoglu, V Bolon-Canedo, JP Campbell, A Bozkurt, ... Translational vision science & technology 4 (6), 5-5, 2015	68	2015
An information theory-based feature selection framework for big data under apache spark S Ramírez-Gallego, H Mouriño-Talín, D Martínez-Rego, V Bolón-Canedo, ... IEEE Transactions on Systems, Man, and Cybernetics: Systems 48 (9), 1441-1453, 2017	65	2017
A framework for cost-based feature selection V Bolón-Canedo, I Porto-Díaz, N Sánchez-Maroño, A Alonso-Betanzos Pattern Recognition 47 (7), 2481-2489, 2014	65	2014
Expert diagnosis of plus disease in retinopathy of prematurity from computer-based image analysis JP Campbell, E Ataer-Cansizoglu, V Bolon-Canedo, A Bozkurt, ... JAMA ophthalmology 134 (6), 651-657, 2016	60	2016
Centralized vs. distributed feature selection methods based on data complexity measures L Morán-Fernández, V Bolón-Canedo, A Alonso-Betanzos Knowledge-Based Systems 117, 27-45, 2017	42	2017
A combination of discretization and filter methods for improving classification performance in KDD Cup 99 dataset V Bolon-Canedo, N Sanchez-Marono, A Alonso-Betanzos 2009 International Joint Conference on Neural Networks, 359-366, 2009	40	2009
A review of feature selection methods in medical applications B Remeseiro, V Bolon-Canedo Computers in biology and medicine 112, 103375, 2019	35	2019

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