Amparo Alonso-Betanzos

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Veronica Bolon-CanedoAssociate Professor, Universidade da Coruña, CITICVerified email at udc.es
Noelia Sánchez-MaroñoAssociate Professor of Computer Science. University of A CoruñaVerified email at udc.es
Oscar Fontenla-RomeroFull Professor of Computer Science. University of A Coruña (Spain)Verified email at udc.es
Bertha Guijarro-BerdiñasUniversity of A CoruñaVerified email at UDC.ES
Vicente Moret-BonilloFull Professor. Department of Computer Science, UDC. Spain.Verified email at udc.es
Laura Morán-FernándezAssistant Professor, CITIC, Universidade da CoruñaVerified email at udc.es
Enrique Castillo 0000-0002-8570-0844Universidad de CantabriaVerified email at unican.es
Antonio BahamondeUniversidad de OviedoVerified email at uniovi.es
Jose M. BenitezFull Professor, Universidad de GranadaVerified email at decsai.ugr.es
Carlos Eiras-FrancoInvestigador postdoctoral, Universidade da CoruñaVerified email at udc.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
Gary PolhillJames Hutton InstituteVerified email at hutton.ac.uk
Elena Hernández-PereiraProfesora Titular de la Universidade da CoruñaVerified email at udc.es
Sergio Ramírez-GallegoPhD. ML and Computer ScienceVerified email at thalesaleniaspace.com
Tony CraigResearcher, The James Hutton InstituteVerified email at hutton.ac.uk
Oscar LuacesArtificial Intelligence Center (University of Oviedo)Verified email at uniovi.es
Jorge DíezORCID:0000-0002-1314-2441 , Artificial Intelligence Center, University of Oviedo at GijónVerified email at uniovi.es
Diego Peteiro-BarralResearch assistant, University of A CoruñaVerified email at udc.es
jose principeprofessor of ECE, U. of FloridaVerified email at cnel.ufl.edu

Amparo Alonso-Betanzos

Catedrática de Computación, CITIC (UDC)

Verified email at udc.es

Inteligencia Artificial Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	1023	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	766	2014
Filter methods for feature selection–a comparative study N Sánchez-Maroño, A Alonso-Betanzos, M Tombilla-Sanromán International Conference on Intelligent Data Engineering and Automated …, 2007	565	2007
Ensembles for feature selection: A review and future trends V Bolón-Canedo, A Alonso-Betanzos Information fusion 52, 1-12, 2019	519	2019
Feature selection for high-dimensional data V Bolón-Canedo, N Sánchez-Maroño, A Alonso-Betanzos Progress in Artificial Intelligence 5, 65-75, 2016	511	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	360	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	316	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	273	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
Automatic bearing fault diagnosis based on one-class ν-SVM D Fernández-Francos, D Martínez-Rego, O Fontenla-Romero, ... Computers & Industrial Engineering 64 (1), 357-365, 2013	225	2013
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	207	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	198	2016
An intelligent system for forest fire risk prediction and fire fighting management in Galicia A Alonso-Betanzos, O Fontenla-Romero, B Guijarro-Berdiñas, ... Expert systems with applications 25 (4), 545-554, 2003	191	2003
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	190	2017
A Very Fast Learning Method for Neural Networks Based on Sensitivity Analysis. E Castillo, B Guijarro-Berdinas, O Fontenla-Romero, A Alonso-Betanzos, ... Journal of Machine Learning Research 7 (7), 2006	181	2006
A new method for sleep apnea classification using wavelets and feedforward neural networks O Fontenla-Romero, B Guijarro-Berdinas, A Alonso-Betanzos, ... Artificial Intelligence in Medicine 34 (1), 65-76, 2005	131	2005
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	121	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	107	2014
Data classification using an ensemble of filters V Bolón-Canedo, N Sánchez-Marono, A Alonso-Betanzos Neurocomputing 135, 13-20, 2014	104	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	94	2019

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