Amparo Alonso-Betanzos
Amparo Alonso-Betanzos
Catedrática de Computación, CITIC (UDC)
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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
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
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
Feature selection for high-dimensional data
V Bolón-Canedo, N Sánchez-Maroño, A Alonso-Betanzos
Progress in Artificial Intelligence 5, 65-75, 2016
Ensembles for feature selection: A review and future trends
V Bolón-Canedo, A Alonso-Betanzos
Information fusion 52, 1-12, 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
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
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
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
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
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
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
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
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
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
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
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
Data classification using an ensemble of filters
V Bolón-Canedo, N Sánchez-Marono, A Alonso-Betanzos
Neurocomputing 135, 13-20, 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
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
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