José Manuel Benítez

107 papers B 4C 8Journal 76Unranked 14
YearRankTypeTitle / Venue / Authors
2024 J jnl
An Efficient Green AI Approach to Time Series Forecasting Based on Deep Learning.
Big Data Cogn. Comput.
Luis Balderas, Miguel Lastra, José Manuel Benítez
2024 J jnl
Optimizing Convolutional Neural Network Architecture.
CoRR
Luis Balderas, Miguel Lastra, José Manuel Benítez
2024 J jnl
Optimizing dense feed-forward neural networks.
Neural Networks
Luis Balderas, Miguel Lastra, José Manuel Benítez
2024 — conf
Reliable central nervous system tumor diagnosis on MRI images with Deep Neural Networks and Conformal Prediction.
EXPLIMED@ECAI
Luis Balderas, María Moreno de Castro, Miguel Lastra, José Pablo Martínez, Francisco Javier Pérez, Antonio Láinez, Antonio Arauzo-Azofra, José Manuel Benítez
2024 J jnl
Sports center customer segmentation: a case study.
CoRR
Juan Soto, Ramón Carmenaty, Miguel Lastra, Juan M. Fernández-Luna, José Manuel Benítez
2023 J jnl
Can persistent homology whiten Transformer-based black-box models? A case study on BERT compression.
CoRR
Luis Balderas, Miguel Lastra, José Manuel Benítez
2023 J jnl
Complexity measures and features for times series classification.
Expert Syst. Appl.
Francisco J. Baldán, José Manuel Benítez
2023 J jnl
Optimizing Dense Feed-Forward Neural Networks.
CoRR
Luis Balderas, Miguel Lastra, José Manuel Benítez
2022 — conf
COVID-ViT: COVID-19 Detection Method Based on Vision Transformers.
ISDA (3)
Luis Balderas, Miguel Lastra, Antonio J. Láinez-Ramos-Bossini, José Manuel Benítez
2022 J jnl
Semantic of Cloud Computing services for Time Series workflows.
CoRR
Manuel Parra-Royon, Francisco J. Baldán, Ghislain Atemezing, José Manuel Benítez
2022 J jnl
Semantics of Data Mining Services in Cloud Computing.
IEEE Trans. Serv. Comput.
Manuel Parra-Royon, Ghislain Atemezing, José Manuel Benítez
2021 J jnl
Multivariate times series classification through an interpretable representation.
Inf. Sci.
Francisco J. Baldán, José Manuel Benítez
2021 J jnl
SCMFTS: Scalable and Distributed Complexity Measures and Features for Univariate and Multivariate Time Series in Big Data Environments.
Int. J. Comput. Intell. Syst.
Francisco J. Baldán, Daniel Peralta, Yvan Saeys, José Manuel Benítez
2020 J jnl
Complexity Measures and Features for Times Series classification.
CoRR
Francisco J. Baldán, José Manuel Benítez
2020 J jnl
FSinR: an exhaustive package for feature selection.
CoRR
F. Aragón-Royón, Alfonso Jiménez-Vílchez, Antonio Arauzo-Azofra, José Manuel Benítez
2020 J jnl
Multivariable times series classification through an interpretable representation.
CoRR
Francisco J. Baldán, José Manuel Benítez
2019 B conf
Delivering Data Mining Services in Cloud Computing.
SERVICES
Manuel Parra-Royon, José Manuel Benítez
2019 J jnl
Distributed FastShapelet Transform: a Big Data time series classification algorithm.
Inf. Sci.
Francisco J. Baldán, José Manuel Benítez
2019 J jnl
Fuzzy Systems-as-a-Service in Cloud Computing.
Int. J. Comput. Intell. Syst.
Manuel Parra-Royon, José Manuel Benítez
2018 J jnl
A Forecasting Methodology for Workload Forecasting in Cloud Systems.
IEEE Trans. Cloud Comput.
Francisco J. Baldán, Sergio Ramírez-Gallego, Christoph Bergmeir, Francisco Herrera, José Manuel Benítez
2018 C conf
A Proposal for the Specification of Data Mining Services in Cloud Computing.
CLOSER
Manuel Parra-Royon, José Manuel Benítez
2018 J jnl
A distributed evolutionary multivariate discretizer for Big Data processing on Apache Spark.
Swarm Evol. Comput.
Sergio Ramírez-Gallego, Salvador García, José Manuel Benítez, Francisco Herrera
2018 J jnl
An Information Theory-Based Feature Selection Framework for Big Data Under Apache Spark.
IEEE Trans. Syst. Man Cybern. Syst.
Sergio Ramírez-Gallego, Héctor Mouriño-Talín, David Martínez-Rego, Verónica Bolón-Canedo, José Manuel Benítez, Amparo Alonso-Betanzos, Francisco Herrera
2018 J jnl
Data Mining definition services in Cloud Computing with Linked Data.
CoRR
Manuel Parra-Royon, Ghislain Atemezing, José Manuel Benítez
2018 J jnl
Linguistic OWA and two time-windows based fault identification in wide plants.
Comput. Chem. Eng.
A. Sánchez-Fernandez, Gregorio Ismael Sainz Palmero, José Manuel Benítez, Maria J. Fuente
2018 J jnl
Multiobjective Optimization for Railway Maintenance Plans.
J. Comput. Civ. Eng.
Daniel Peralta, Christoph Bergmeir, Martin Krone, Marta Galende, Manuel Menéndez, Gregorio Ismael Sainz Palmero, Carlos Martínez Bertrand, Frank Klawonn, José Manuel Benítez
2018 J jnl
On the use of convolutional neural networks for robust classification of multiple fingerprint captures.
Int. J. Intell. Syst.
Daniel Peralta, Isaac Triguero, Salvador García, Yvan Saeys, José Manuel Benítez, Francisco Herrera
2018 J jnl
Self-labeling techniques for semi-supervised time series classification: an empirical study.
Knowl. Inf. Syst.
Mabel González Castellanos, Christoph Bergmeir, Isaac Triguero, Yanet Rodríguez, José Manuel Benítez
2017 J jnl
Distributed incremental fingerprint identification with reduced database penetration rate using a hierarchical classification based on feature fusion and selection.
Knowl. Based Syst.
Daniel Peralta, Isaac Triguero, Salvador García, Yvan Saeys, José Manuel Benítez, Francisco Herrera
2017 J jnl
Fast-mRMR: Fast Minimum Redundancy Maximum Relevance Algorithm for High-Dimensional Big Data.
Int. J. Intell. Syst.
Sergio Ramírez-Gallego, Iago Lastra, David Martínez-Rego, Verónica Bolón-Canedo, José Manuel Benítez, Francisco Herrera, Amparo Alonso-Betanzos
2017 J jnl
Fingerprint classification with a new deep neural network model: robustness for different captures of the same fingerprints.
CoRR
Daniel Peralta, Isaac Triguero, Salvador García, Yvan Saeys, José Manuel Benítez, Francisco Herrera
2017 J jnl
Minutiae-based fingerprint matching decomposition: Methodology for big data frameworks.
Inf. Sci.
Daniel Peralta, Salvador García, José Manuel Benítez, Francisco Herrera
2017 J jnl
Nearest Neighbor Classification for High-Speed Big Data Streams Using Spark.
IEEE Trans. Syst. Man Cybern. Syst.
Sergio Ramírez-Gallego, Bartosz Krawczyk, Salvador García, Michal Wozniak, José Manuel Benítez, Francisco Herrera
2017 J jnl
SMOTE-GPU: Big Data preprocessing on commodity hardware for imbalanced classification.
Prog. Artif. Intell.
Pablo David Gutiérrez, Miguel Lastra, José Manuel Benítez, Francisco Herrera
2016 J jnl
An Information Theoretic Feature Selection Framework for Big Data under Apache Spark.
CoRR
Sergio Ramírez-Gallego, Héctor Mouriño-Talín, David Martínez-Rego, Verónica Bolón-Canedo, José Manuel Benítez, Amparo Alonso-Betanzos, Francisco Herrera
2016 J jnl
DPD-DFF: A dual phase distributed scheme with double fingerprint fusion for fast and accurate identification in large databases.
Inf. Fusion
Daniel Peralta, Isaac Triguero, Salvador García, Francisco Herrera, José Manuel Benítez
2016 J jnl
Data discretization: taxonomy and big data challenge.
WIREs Data Mining Knowl. Discov.
Sergio Ramírez-Gallego, Salvador García, Héctor Mouriño-Talín, David Martínez-Rego, Verónica Bolón-Canedo, Amparo Alonso-Betanzos, José Manuel Benítez, Francisco Herrera
2016 J jnl
GPU-SME-kNN: Scalable and memory efficient kNN and lazy learning using GPUs.
Inf. Sci.
Pablo David Gutiérrez, Miguel Lastra, Jaume Bacardit, José Manuel Benítez, Francisco Herrera
2016 J jnl
Multivariate Discretization Based on Evolutionary Cut Points Selection for Classification.
IEEE Trans. Cybern.
Sergio Ramírez-Gallego, Salvador García, José Manuel Benítez, Francisco Herrera
2016 J jnl
On the stopping criteria for k-Nearest Neighbor in positive unlabeled time series classification problems.
Inf. Sci.
Mabel González Castellanos, Christoph Bergmeir, Isaac Triguero, Yanet Rodríguez, José Manuel Benítez
2016 — conf
Open Calculator for Environmental and Social Footprints of Rail Infrastructures.
EnviroInfo (1)
Francisco Barrientos, Gregorio I. Sainz, Alberto Moral, Manuel Parra, José Manuel Benítez, Jorge Rodríguez, Carlos Martínez Bertrand, Francisco Campo, Rubén Carnerero
2015 J jnl
A MapReduce Approach to Address Big Data Classification Problems Based on the Fusion of Linguistic Fuzzy Rules.
Int. J. Comput. Intell. Syst.
Sara del Río, Victoria López, José Manuel Benítez, Francisco Herrera
2015 — conf
A Wrapper Evolutionary Approach for Supervised Multivariate Discretization: A Case Study on Decision Trees.
CORES
Sergio Ramírez-Gallego, Salvador García, José Manuel Benítez, Francisco Herrera
2015 J jnl
A high performance memetic algorithm for extremely high-dimensional problems.
Inf. Sci.
Miguel Lastra, Daniel Molina, José Manuel Benítez
2015 J jnl
A survey of fingerprint classification Part I: Taxonomies on feature extraction methods and learning models.
Knowl. Based Syst.
Mikel Galar, Joaquín Derrac, Daniel Peralta, Isaac Triguero, Daniel Paternain, Carlos Lopez-Molina, Salvador García, José Manuel Benítez, Miguel Pagola, Edurne Barrenechea Tartas, Humberto Bustince Sola, Francisco Herrera
2015 J jnl
A survey of fingerprint classification Part II: Experimental analysis and ensemble proposal.
Knowl. Based Syst.
Mikel Galar, Joaquín Derrac, Daniel Peralta, Isaac Triguero, Daniel Paternain, Carlos Lopez-Molina, Salvador García, José Manuel Benítez, Miguel Pagola, Edurne Barrenechea Tartas, Humberto Bustince Sola, Francisco Herrera
2015 J jnl
A survey on fingerprint minutiae-based local matching for verification and identification: Taxonomy and experimental evaluation.
Inf. Sci.
Daniel Peralta, Mikel Galar, Isaac Triguero, Daniel Paternain, Salvador García, Edurne Barrenechea, José Manuel Benítez, Humberto Bustince, Francisco Herrera
2015 — conf
Analysis of Data Preprocessing Increasing the Oversampling Ratio for Extremely Imbalanced Big Data Classification.
TrustCom/BigDataSE/ISPA (2)
Sara del Río, José Manuel Benítez, Francisco Herrera
2015 J jnl
Cost-sensitive linguistic fuzzy rule based classification systems under the MapReduce framework for imbalanced big data.
Fuzzy Sets Syst.
Victoria López, Sara del Río, José Manuel Benítez, Francisco Herrera
2015 J jnl
Fast fingerprint identification using GPUs.
Inf. Sci.
Miguel Lastra, Jesús Carabaño, Pablo David Gutiérrez, José Manuel Benítez, Francisco Herrera
2015 J jnl
ROSEFW-RF: The winner algorithm for the ECBDL'14 big data competition: An extremely imbalanced big data bioinformatics problem.
Knowl. Based Syst.
Isaac Triguero, Sara del Río, Victoria López, Jaume Bacardit, José Manuel Benítez, Francisco Herrera
2014 J jnl
A High Performance Fingerprint Matching System for Large Databases Based on GPU.
IEEE Trans. Inf. Forensics Secur.
Pablo David Gutiérrez, Miguel Lastra, Francisco Herrera, José Manuel Benítez
2014 J jnl
A review of microarray datasets and applied feature selection methods.
Inf. Sci.
Verónica Bolón-Canedo, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos, José Manuel Benítez, Francisco Herrera
2014 J jnl
Big Data with Cloud Computing: an insight on the computing environment, MapReduce, and programming frameworks.
WIREs Data Mining Knowl. Discov.
Alberto Fernández, Sara del Río, Victoria López, Abdullah Bawakid, María José del Jesus, José Manuel Benítez, Francisco Herrera
2014 J jnl
E-learning and educational data mining in cloud computing: an overview.
Int. J. Learn. Technol.
Alberto Fernández, Daniel Peralta, José Manuel Benítez, Francisco Herrera
2014 J jnl
Fast fingerprint identification for large databases.
Pattern Recognit.
Daniel Peralta, Isaac Triguero, Raul Sánchez-Reillo, Francisco Herrera, José Manuel Benítez
2014 J jnl
Implementing algorithms of rough set theory and fuzzy rough set theory in the R package "RoughSets".
Inf. Sci.
Lala Septem Riza, Andrzej Janusz, Christoph Bergmeir, Chris Cornelis, Francisco Herrera, Dominik Slezak, José Manuel Benítez
2014 B conf
Learning from data using the R package "FRBS".
FUZZ-IEEE
Lala Septem Riza, Christoph Bergmeir, Francisco Herrera, José Manuel Benítez
2014 J jnl
Minutiae filtering to improve both efficacy and efficiency of fingerprint matching algorithms.
Eng. Appl. Artif. Intell.
Daniel Peralta, Mikel Galar, Isaac Triguero, Oscar Miguel-Hurtado, José Manuel Benítez, Francisco Herrera
2014 J jnl
On the use of MapReduce for imbalanced big data using Random Forest.
Inf. Sci.
Sara del Río, Victoria López, José Manuel Benítez, Francisco Herrera
2014 B conf
On the use of MapReduce to build linguistic fuzzy rule based classification systems for big data.
FUZZ-IEEE
Victoria López, Sara del Río, José Manuel Benítez, Francisco Herrera
2014 J jnl
On the usefulness of cross-validation for directional forecast evaluation.
Comput. Stat. Data Anal.
Christoph Bergmeir, Mauro Costantini, José Manuel Benítez
2014 J jnl
Special issue: Advances in learning schemes for function approximation.
Neurocomputing
Emilio Corchado, Ajith Abraham, Pedro Antonio Gutiérrez, José Manuel Benítez, Sebastián Ventura
2013 C conf
A Study on the Use of Machine Learning Methods for Incidence Prediction in High-Speed Train Tracks.
IEA/AIE
Christoph Bergmeir, Gregorio Ismael Sainz Palmero, Carlos Martínez Bertrand, José Manuel Benítez
2013 J jnl
FRASel: a consensus of feature ranking methods for time series modelling.
Soft Comput.
Rubén García Pajares, José Manuel Benítez, Gregorio Ismael Sainz Palmero
2013 — ch.
The Links between Statistical and Fuzzy Models for Time Series Analysis and Forecasting.
Time Series Analysis, Modeling and Applications
José Luis Aznarte, José Manuel Benítez
2012 — conf
An Overview on the Structure and Applications for Business Intelligence and Data Mining in Cloud Computing.
KMO
Alberto Fernández, Sara del Río, Francisco Herrera, José Manuel Benítez
2012 J jnl
Financial time series forecasting with a bio-inspired fuzzy model.
Expert Syst. Appl.
José Luis Aznarte, Jesús Alcalá-Fdez, Antonio Arauzo-Azofra, José Manuel Benítez
2012 J jnl
On the use of cross-validation for time series predictor evaluation.
Inf. Sci.
Christoph Bergmeir, José Manuel Benítez
2012 — conf
Optimization of Neuro-Coefficient Smooth Transition Autoregressive Models Using Differential Evolution.
HAIS (1)
Christoph Bergmeir, Isaac Triguero, Francisco Velasco, José Manuel Benítez
2012 J jnl
Segmentation of cervical cell nuclei in high-resolution microscopic images: A new algorithm and a web-based software framework.
Comput. Methods Programs Biomed.
Christoph Bergmeir, Miguel García-Silvente, José Manuel Benítez
2012 J jnl
Special issue on "New Trends in Data Mining" NTDM.
Knowl. Based Syst.
José Manuel Benítez, Nicolás García-Pedrajas, Francisco Herrera
2012 J jnl
Time Series Modeling and Forecasting Using Memetic Algorithms for Regime-Switching Models.
IEEE Trans. Neural Networks Learn. Syst.
Christoph Bergmeir, Isaac Triguero, Daniel Molina, José Luis Aznarte, José Manuel Benítez
2011 C ed.
11th International Conference on Intelligent Systems Design and Applications, ISDA 2011, Córdoba, Spain, November 22-24, 2011
ISDA
Sebastián Ventura, Ajith Abraham, Krzysztof J. Cios, Cristóbal Romero, Francesco Marcelloni, José Manuel Benítez, Eva Lucrecia Gibaja Galindo
2011 J jnl
A test for the homoscedasticity of the residuals in fuzzy rule-based forecasters.
Appl. Intell.
José Luis Aznarte, Daniel Molina, Ana M. Sánchez, José Manuel Benítez
2011 J jnl
Empirical study of feature selection methods based on individual feature evaluation for classification problems.
Expert Syst. Appl.
Antonio Arauzo-Azofra, José Luis Aznarte, José Manuel Benítez
2011 C conf
Forecaster performance evaluation with cross-validation and variants.
ISDA
Christoph Bergmeir, José Manuel Benítez
2011 J jnl
Guest editorial: special issue on "Intelligent Systems, Design and Applications (ISDA'2009)".
Soft Comput.
José Manuel Benítez, Sabrina Senatore, Ajith Abraham
2010 J jnl
Equivalences between neural-autoregressive time series models and fuzzy systems.
IEEE Trans. Neural Networks
José Luis Aznarte, José Manuel Benítez
2010 J jnl
Linearity testing for fuzzy rule-based models.
Fuzzy Sets Syst.
José Luis Aznarte, Marcelo C. Medeiros, José Manuel Benítez
2010 — ch.
On the Use of Distributed Genetic Algorithms for the Tuning of Fuzzy Rule Based-Systems.
Parallel and Distributed Computational Intelligence
Ignacio Robles, Rafael Alcalá, José Manuel Benítez, Francisco Herrera
2010 B conf
Segmentation of cervical cell images using mean-shift filtering and morphological operators.
Image Processing
Christoph Bergmeir, Miguel García-Silvente, J. Esquivias López-Cuervo, José Manuel Benítez
2010 J jnl
Special Issue on Advances in Intelligent Systems.
Int. J. Hybrid Intell. Syst.
José Manuel Benítez, Vincenzo Loia, Francesco Marcelloni
2010 J jnl
Special issue on Hybrid Fuzzy Models.
Int. J. Hybrid Intell. Syst.
José Manuel Benítez, Salvador García, Santi Caballé, Angel A. Juan
2010 — conf
Testing for Heteroskedasticity of the Residuals in Fuzzy Rule-Based Models.
IEA/AIE (2)
José Luis Aznarte, José Manuel Benítez
2010 J jnl
Testing for Remaining Autocorrelation of the residuals in the Framework of Fuzzy Rule-Based Time Series Modelling.
Int. J. Uncertain. Fuzziness Knowl. Based Syst.
José Luis Aznarte, Marcelo C. Medeiros, José Manuel Benítez
2010 — ed.
Trends in Applied Intelligent Systems - 23rd International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2010, Cordoba, Spain, June 1-4, 2010, Proceedings, Part I
IEA/AIE (1)
Nicolás García-Pedrajas, Francisco Herrera, Colin Fyfe, José Manuel Benítez, Moonis Ali
2010 — ed.
Trends in Applied Intelligent Systems - 23rd International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2010, Cordoba, Spain, June 1-4, 2010, Proceedings, Part II
IEA/AIE (2)
Nicolás García-Pedrajas, Francisco Herrera, Colin Fyfe, José Manuel Benítez, Moonis Ali
2010 — ed.
Trends in Applied Intelligent Systems - 23rd International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2010, Cordoba, Spain, June 1-4, 2010, Proceedings, Part III
IEA/AIE (3)
Nicolás García-Pedrajas, Francisco Herrera, Colin Fyfe, José Manuel Benítez, Moonis Ali
2009 — conf
Distributed Genetic Tuning of Fuzzy Rule-Based Systems.
IFSA/EUSFLAT Conf.
Ignacio Robles, Rafael Alcalá, José Manuel Benítez, Francisco Herrera
2009 C conf
Empirical Study of Individual Feature Evaluators and Cutting Criteria for Feature Selection in Classification.
ISDA
Antonio Arauzo-Azofra, José Luis Aznarte-Mellado, José Manuel Benítez
2009 J jnl
Evolutionary parallel and gradually distributed lateral tuning of fuzzy rule-based systems.
Evol. Intell.
Ignacio Robles, Rafael Alcalá, José Manuel Benítez, Francisco Herrera
2008 C ed.
8th International Conference on Hybrid Intelligent Systems (HIS 2008), September 10-12, 2008, Barcelona, Spain
HIS
Fatos Xhafa, Francisco Herrera, Ajith Abraham, Mario Köppen, José Manuel Benítez
2008 J jnl
Artificial neural network-based equation for estimating VO
Artif. Intell. Medicine
Jonatan R. Ruiz, Jorge Ramirez-Lechuga, Francisco B. Ortega, José Castro-Piñero, José Manuel Benítez, Antonio Arauzo-Azofra, Cristobal Sanchez, Michael Sjöström, Manuel J. Castillo, Ángel Gutiérrez, Mikel Zabala
2008 J jnl
Consistency measures for feature selection.
J. Intell. Inf. Syst.
Antonio Arauzo-Azofra, José Manuel Benítez, Juan Luis Castro
2008 C conf
Empirical Study of Feature Selection Methods in Classification.
HIS
Antonio Arauzo-Azofra, José Manuel Benítez
2008 C conf
Feature Selection for Time Series Forecasting: A Case Study.
HIS
Rubén García Pajares, José Manuel Benítez, Gregorio Ismael Sainz Palmero
2007 J jnl
Smooth transition autoregressive models and fuzzy rule-based systems: Functional equivalence and consequences.
Fuzzy Sets Syst.
José Luis Aznarte, José Manuel Benítez, Juan Luis Castro
2006 — conf
Fuzzy Pairwise Multiclass Support Vector Machines.
MICAI
José Manuel Puche, José Manuel Benítez, Juan Luis Castro, Carlos Javier Mantas
2006 — conf
On the Identifiability of TSK Additive Fuzzy Rule-Based Models.
SMPS
José Luis Aznarte, José Manuel Benítez
2005 — conf
Building Fuzzy Classifiers with Pairwise Multiclass Support Vector Machines.
EUSFLAT Conf.
José Manuel Benítez, Juan Luis Castro, José Manuel Puche
2005 — conf
Neuro-Fuzzy prediction of airborne pollen concentrations.
EUSFLAT Conf.
José Luis Aznarte, Diego Nieto Lugilde, José Manuel Benítez, Concepción de Linares Fernández
2003 J jnl
Fuzzy Control of HVAC Systems Optimized by Genetic Algorithms.
Appl. Intell.
Rafael Alcalá, José Manuel Benítez, Jorge Casillas, Oscar Cordón, Raúl Pérez
2002 J jnl
Interpretation of artificial neural networks by means of fuzzy rules.
IEEE Trans. Neural Networks
Juan Luis Castro, Carlos Javier Mantas, José Manuel Benítez
2000 J jnl
Neural networks with a continuous squashing function in the output are universal approximators.
Neural Networks
Juan Luis Castro, Carlos Javier Mantas, José Manuel Benítez
1999 — conf
A link-pruning algorithm for neural networks.
EUSFLAT-ESTYLF Joint Conf.
José Manuel Benítez, Juan Luis Castro, Carlos Javier Mantas
1997 J jnl
Are artificial neural networks black boxes?
IEEE Trans. Neural Networks
José Manuel Benítez, Juan Luis Castro, Ignacio Requena