David Martinez Rego
David Martinez Rego
University of A Corunna, University College London
Verified email at dataspartan.com
Cited by
Cited by
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
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
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
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
Online machine learning
Ó Fontenla-Romero, B Guijarro-Berdiñas, D Martinez-Rego, ...
Efficiency and Scalability Methods for Computational Intellect, 27-54, 2013
A robust incremental learning method for non-stationary environments
D Martinez-Rego, B Perez-Sanchez, O Fontenla-Romero, ...
Neurocomputing 74 (11), 1800-1808, 2011
Power wind mill fault detection via one-class ν-SVM vibration signal analysis
D Martinez-Rego, O Fontenla-Romero, A Alonso-Betanzos
The 2011 International Joint Conference on Neural Networks, 511-518, 2011
Eyetracking metrics in young onset Alzheimer’s disease: a window into cognitive visual functions
IM Pavisic, NC Firth, S Parsons, DM Rego, TJ Shakespeare, KXX Yong, ...
Frontiers in neurology 8, 377, 2017
An online learning algorithm for adaptable topologies of neural networks
B Pérez-Sánchez, O Fontenla-Romero, B Guijarro-Berdiñas, ...
Expert Systems with Applications 40 (18), 7294-7304, 2013
Distributed entropy minimization discretizer for big data analysis under apache spark
S Ramirez-Gallego, S Garcia, H Mourino-Talin, D Martinez-Rego, ...
2015 IEEE Trustcom/BigDataSE/ISPA 2, 33-40, 2015
Efficiency of local models ensembles for time series prediction
D Martínez-Rego, O Fontenla-Romero, A Alonso-Betanzos
Expert Systems with Applications 38 (6), 6884-6894, 2011
Fault detection via recurrence time statistics and one-class classification
D Martínez-Rego, O Fontenla-Romero, A Alonso-Betanzos, JC Principe
Pattern Recognition Letters 84, 8-14, 2016
Combining feature selection and local modelling in the kdd cup 99 dataset
I Porto-Díaz, D Martínez-Rego, A Alonso-Betanzos, O Fontenla-Romero
International Conference on Artificial Neural Networks, 824-833, 2009
Cryptocurrency trading: a comprehensive survey
F Fang, C Ventre, M Basios, H Kong, L Kanthan, L Li, ...
arXiv preprint arXiv:2003.11352, 2020
Large scale anomaly detection in mixed numerical and categorical input spaces
C Eiras-Franco, D Martinez-Rego, B Guijarro-Berdinas, ...
Information Sciences 487, 115-127, 2019
Nonlinear single layer neural network training algorithm for incremental, nonstationary and distributed learning scenarios
D Martínez-Rego, O Fontenla-Romero, A Alonso-Betanzos
Pattern recognition 45 (12), 4536-4546, 2012
A method for time series prediction using a combination of linear models
D Martınez-Rego, O Fontenla-Romero, A Alonso-Betanzos
Advances in Computational Intelligence and Learning, 2008
A new supervised local modelling classifier based on information theory
D Martinez-Rego, O Fontenla-Romero, I Porto-Diaz, A Alonso-Betanzos
2009 International Joint Conference on Neural Networks, 2014-2020, 2009
Privacy-preserving distributed learning based on genetic algorithms and artificial neural networks
B Guijarro-Berdiñas, D Martínez-Rego, S Fernández-Lorenzo
International Work-Conference on Artificial Neural Networks, 195-202, 2009
Stream change detection via passive-aggressive classification and Bernoulli CUSUM
D Martínez-Rego, D Fernández-Francos, O Fontenla-Romero, ...
Information Sciences 305, 130-145, 2015
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