On the use of cross-validation for time series predictor evaluation C Bergmeir, JM Benítez Information Sciences 191, 192-213, 2012 | 1016 | 2012 |
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 | 742 | 2014 |
Are artificial neural networks black boxes? JM Benítez, JL Castro, I Requena IEEE Transactions on neural networks 8 (5), 1156-1164, 1997 | 719 | 1997 |
Big data preprocessing: methods and prospects S García, S Ramírez-Gallego, J Luengo, JM Benítez, F Herrera Big data analytics 1, 1-22, 2016 | 681 | 2016 |
On the use of mapreduce for imbalanced big data using random forest S Del Río, V López, JM Benítez, F Herrera Information Sciences 285, 112-137, 2014 | 427 | 2014 |
Bagging exponential smoothing methods using STL decomposition and Box–Cox transformation C Bergmeir, RJ Hyndman, JM Benítez International journal of forecasting 32 (2), 303-312, 2016 | 388 | 2016 |
Neural networks in R using the Stuttgart neural network simulator: RSNNS CN Bergmeir, JM Benítez Sánchez American Statistical Association, 2012 | 388 | 2012 |
Big Data with Cloud Computing: an insight on the computing environment, MapReduce, and programming frameworks A Fernández, S del Río, V López, A Bawakid, MJ del Jesus, JM Benítez, ... Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 4 (5 …, 2014 | 344 | 2014 |
Cost-sensitive linguistic fuzzy rule based classification systems under the MapReduce framework for imbalanced big data V López, S Del Río, JM Benítez, F Herrera Fuzzy Sets and Systems 258, 5-38, 2015 | 311 | 2015 |
frbs: Fuzzy rule-based systems for classification and regression in R LS Riza, C Bergmeir, F Herrera, JM Benítez Journal of statistical software 65, 1-30, 2015 | 231 | 2015 |
Implementing algorithms of rough set theory and fuzzy rough set theory in the R package “RoughSets” LS Riza, A Janusz, C Bergmeir, C Cornelis, F Herrera, D Śle, JM Benítez Information sciences 287, 68-89, 2014 | 207 | 2014 |
A survey on fingerprint minutiae-based local matching for verification and identification: Taxonomy and experimental evaluation D Peralta, M Galar, I Triguero, D Paternain, S García, E Barrenechea, ... Information Sciences 315, 67-87, 2015 | 198 | 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 | 191 | 2016 |
ROSEFW-RF: the winner algorithm for the ECBDL’14 big data competition: an extremely imbalanced big data bioinformatics problem I Triguero, S Del Río, V López, J Bacardit, JM Benítez, F Herrera Knowledge-Based Systems 87, 69-79, 2015 | 183 | 2015 |
Fuzzy control of HVAC systems optimized by genetic algorithms R Alcalá, JM Benítez, J Casillas, O Cordón, R Pérez Applied Intelligence 18, 155-177, 2003 | 181 | 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 | 180 | 2017 |
Evolutionary feature selection for big data classification: A mapreduce approach D Peralta, S Del Río, S Ramírez-Gallego, I Triguero, JM Benitez, ... Mathematical Problems in Engineering 2015 (1), 246139, 2015 | 177 | 2015 |
Artificial neural network-based equation for estimating VO2max from the 20 m shuttle run test in adolescents JR Ruiz, J Ramirez-Lechuga, FB Ortega, J Castro-Pinero, JM Benitez, ... Artificial intelligence in medicine 44 (3), 233-245, 2008 | 170 | 2008 |
Interpretation of artificial neural networks by means of fuzzy rules JL Castro, CJ Mantas, JM Benítez IEEE Transactions on Neural Networks 13 (1), 101-116, 2002 | 158 | 2002 |
An overview of e-learning in cloud computing A Fernandez, D Peralta, F Herrera, JM Benítez Workshop on Learning Technology for Education in Cloud (LTEC'12), 35-46, 2012 | 155 | 2012 |