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
Enrique Castillo 0000-0002-8570-0844Universidad de CantabriaVerified email at unican.es
Laura Morán-FernándezAssistant Professor, CITIC, Universidade da CoruñaVerified email at udc.es
Francisco HerreraProfessor Computer Science and AI, Granada University, SpainVerified email at decsai.ugr.es
Antonio BahamondeUniversidad de OviedoVerified email at uniovi.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
Carlos Eiras-FrancoInvestigador postdoctoral, Universidade da CoruñaVerified email at udc.es
Gary PolhillJames Hutton InstituteVerified email at hutton.ac.uk
Sergio Ramírez-GallegoPhD. ML and Computer ScienceVerified email at thalesaleniaspace.com
Elena Hernández-PereiraProfesora Titular de la Universidade da CoruñaVerified email at udc.es
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


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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	895	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	692	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	465	2007
Feature selection for high-dimensional data V Bolón-Canedo, N Sánchez-Maroño, A Alonso-Betanzos Springer International Publishing, 2015	446	2015
Ensembles for feature selection: A review and future trends V Bolón-Canedo, A Alonso-Betanzos Information Fusion 52, 1-12, 2019	391	2019
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	326	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	256	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	254	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	213	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	204	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	189	2015
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	178	2006
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	177	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	174	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	155	2017
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	120	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	109	2017
Data classification using an ensemble of filters V Bolón-Canedo, N Sánchez-Marono, A Alonso-Betanzos Neurocomputing 135, 13-20, 2014	99	2014
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	98	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	81	2019

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