| 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 | 145 | 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 | 116 | 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 | 90 | 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 | 67 | 2017 |
| Online machine learning Ó Fontenla-Romero, B Guijarro-Berdiñas, D Martinez-Rego, ... Efficiency and Scalability Methods for Computational Intellect, 27-54, 2013 | 49 | 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 | 42 | 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 | 38 | 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 | 27 | 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 | 25 | 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 | 21 | 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 | 21 | 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 | 19 | 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 | 18 | 2009 |
| 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 | 16 | 2008 |
| 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 | 15 | 2012 |
| Large scale anomaly detection in mixed numerical and categorical input spaces C Eiras-Franco, D Martínez-Rego, B Guijarro-Berdiñas, ... Information Sciences 487, 115-127, 2019 | 14 | 2019 |
| 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 | 13 | 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 | 12 | 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 | 11 | 2015 |
| Algorithmic challenges in big data analytics. V Bolon-Canedo, B Remeseiro, K Sechidis, D Martinez-Rego, ... ESANN, 2017 | 9 | 2017 |
