Veronica Bolon-Canedo

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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
Beatriz RemeseiroAssociate Professor, University of OviedoVerified email at uniovi.es
Laura Morán-FernándezAssistant Professor, CITIC, Universidade da CoruñaVerified email at udc.es
Jose M. BenitezFull Professor, Universidad de GranadaVerified email at decsai.ugr.es
Borja Seijo-PardoPhD Student in Computer Science, University of A CoruñaVerified email at udc.es
Francisco HerreraProfessor Computer Science and AI, DaSCI Research Institute, Granada University, SpainVerified email at decsai.ugr.es
David Martinez RegoUniversity of A Corunna, University College LondonVerified email at dataspartan.com
Bertha Guijarro-BerdiñasUniversity of A CoruñaVerified email at UDC.ES
Sergio Ramírez-GallegoPhD. ML and Computer ScienceVerified email at thalesaleniaspace.com
Jayashree Kalpathy-CramerUniversity of ColoradoVerified email at cuanschutz.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
Goreti MarreirosFull Professor, GECAD/ISEP/Polytechnic of PortoVerified email at isep.ipp.pt
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-RomeroFull Professor of Computer Science. University of A Coruña (Spain)Verified email at udc.es
Carlos Eiras-FrancoInvestigador postdoctoral, Universidade da CoruñaVerified email at udc.es
J Peter CampbellOregon Health & Science UniversityVerified email at ohsu.edu

Veronica Bolon-Canedo

Associate Professor, Universidade da Coruña, CITIC

Verified email at udc.es - Homepage

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, 483-519, 2013	1036	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	770	2014
A review of feature selection methods in medical applications B Remeseiro, V Bolon-Canedo Computers in biology and medicine 112, 103375, 2019	751	2019
Ensembles for feature selection: A review and future trends V Bolón-Canedo, A Alonso-Betanzos Information fusion 52, 1-12, 2019	534	2019
Feature selection for high-dimensional data V Bolón-Canedo, N Sánchez-Maroño, A Alonso-Betanzos Progress in Artificial Intelligence 5 (2), 65-75, 2016	519	2016
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	367	2015
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	326	2017
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	276	2011
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	232	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	210	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	203	2016
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
Feature selection in image analysis: a survey V Bolon-Canedo, B Remeseiro Artificial Intelligence Review 53 (4), 2905-2931, 2020	156	2020
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	146	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	122	2017
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	113	2016
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	109	2014
Data classification using an ensemble of filters V Bolón-Canedo, N Sánchez-Marono, A Alonso-Betanzos Neurocomputing 135, 13-20, 2014	105	2014
On developing an automatic threshold applied to feature selection ensembles B Seijo-Pardo, V Bolón-Canedo, A Alonso-Betanzos Information Fusion 45, 227-245, 2019	95	2019
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	86	2017

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