An SVM-based solution for fault detection in wind turbines P Santos, LF Villa, A Reñones, A Bustillo, J Maudes Sensors 15 (3), 5627-5648, 2015 | 218 | 2015 |
Boosting recombined weak classifiers JJ Rodríguez, J Maudes Pattern Recognition Letters 29 (8), 1049-1059, 2008 | 77 | 2008 |
Random feature weights for decision tree ensemble construction J Maudes, JJ Rodríguez, C García-Osorio, N García-Pedrajas Information Fusion 13 (1), 20-30, 2012 | 75 | 2012 |
Identifying maximum imbalance in datasets for fault diagnosis of gearboxes P Santos, J Maudes, A Bustillo Journal of Intelligent Manufacturing 29, 333-351, 2018 | 74 | 2018 |
Database of novel magnetic materials for high-performance permanent magnet development P Nieves, S Arapan, J Maudes-Raedo, R Marticorena-Sánchez, ... Computational materials science 168, 188-202, 2019 | 45 | 2019 |
Supervised subspace projections for constructing ensembles of classifiers N García-Pedrajas, J Maudes-Raedo, C García-Osorio, ... Information Sciences 193, 1-21, 2012 | 42 | 2012 |
Forests of nested dichotomies JJ Rodríguez, C García-Osorio, J Maudes Pattern Recognition Letters 31 (2), 125-132, 2010 | 40 | 2010 |
Disturbing neighbors diversity for decision forests J Maudes, JJ Rodríguez, C García-Osorio Applications of supervised and unsupervised ensemble methods, 113-133, 2009 | 35 | 2009 |
Emerging topics in mining software repositories: Machine learning in software repositories and datasets D Güemes-Peña, C López-Nozal, R Marticorena-Sánchez, ... Progress in Artificial Intelligence 7, 237-247, 2018 | 26 | 2018 |
Label prediction on issue tracking systems using text mining JM Alonso-Abad, C López-Nozal, JM Maudes-Raedo, ... Progress in Artificial Intelligence 8 (3), 325-342, 2019 | 24 | 2019 |
Wind turbines fault diagnosis using ensemble classifiers P Santos, LF Villa, A Reñones, A Bustillo, J Maudes Advances in Data Mining. Applications and Theoretical Aspects: 12th …, 2012 | 22 | 2012 |
Random projections for linear SVM ensembles J Maudes, JJ Rodríguez, C García-Osorio, C Pardo Applied Intelligence 34, 347-359, 2011 | 21 | 2011 |
Random Forest ensemble prediction of stent dimensions in microfabrication processes J Maudes, A Bustillo, AJ Guerra, J Ciurana The International Journal of Advanced Manufacturing Technology 91, 879-893, 2017 | 19 | 2017 |
License plate number recognition-new heuristics and a comparative study of classifiers C Garcia-Osorio, JF Díez-Pastor, JJ Rodríguez, J Maudes International Conference on Informatics in Control, Automation and Robotics …, 2008 | 18 | 2008 |
Design of e-activities for the learning of code refactoring tasks C López, JM Alonso, R Marticorena, JM Maudes 2014 International Symposium on Computers in Education (SIIE), 35-40, 2014 | 14 | 2014 |
License Plate Number Recognition New heuristics and a comparative study of classifiers C Osorio, JF Diez_Paster, JJ Rodrigues, J Maudes International Conference on Informatics in Control, Robotics and Automation …, 2008 | 13 | 2008 |
Cascading for nominal data J Maudes, JJ Rodríguez, C García-Osorio Multiple Classifier Systems: 7th International Workshop, MCS 2007, Prague …, 2007 | 10 | 2007 |
Using ensembles for accurate modelling of manufacturing processes in an IoT data-acquisition solution JL Garrido-Labrador, D Puente-Gabarri, JM Ramírez-Sanz, ... Applied Sciences 10 (13), 4606, 2020 | 9 | 2020 |
Modelling laser milling of microcavities for the manufacturing of DES with ensembles P Santos, D Teixidor, J Maudes, J Ciurana Journal of Applied Mathematics 2014, 2014 | 9 | 2014 |
An experimental study on ensembles of functional trees JJ Rodríguez, C García-Osorio, J Maudes, JF Díez-Pastor Multiple Classifier Systems: 9th International Workshop, MCS 2010, Cairo …, 2010 | 8 | 2010 |