José Manuel Benítez

Publication Activity (10 Years)

Years Active: 1997-2024
Publications (10 Years): 49

Top Topics

Fingerprint Classification

Fuzzy Rule Based Classification

Top Venues

Knowl. Based Syst.

Int. J. Comput. Intell. Syst.

Publications

Luis Balderas, Miguel Lastra, José Manuel Benítez
Optimizing Convolutional Neural Network Architecture. CoRR (2024)
Juan Soto, Ramón Carmenaty, Miguel Lastra, Juan M. Fernández-Luna, José Manuel Benítez
Sports center customer segmentation: a case study. CoRR (2024)
Luis Balderas, Miguel Lastra, José Manuel Benítez
Optimizing dense feed-forward neural networks. Neural Networks 171 (2024)
Luis Balderas, Miguel Lastra, José Manuel Benítez
Can persistent homology whiten Transformer-based black-box models? A case study on BERT compression. CoRR (2023)
Luis Balderas, Miguel Lastra, José Manuel Benítez
Optimizing Dense Feed-Forward Neural Networks. CoRR (2023)
Francisco Javier Baldan, José Manuel Benítez
Complexity measures and features for times series classification. Expert Syst. Appl. 213 (Part) (2023)
Manuel Parra-Royon, Francisco Javier Baldan, Ghislain Atemezing, José Manuel Benítez
Semantic of Cloud Computing services for Time Series workflows. CoRR (2022)
Manuel Parra-Royon, Ghislain Atemezing, José Manuel Benítez
Semantics of Data Mining Services in Cloud Computing. IEEE Trans. Serv. Comput. 15 (2) (2022)
Luis Balderas, Miguel Lastra, Antonio J. Láinez-Ramos-Bossini, José Manuel Benítez
COVID-ViT: COVID-19 Detection Method Based on Vision Transformers. ISDA (3) (2022)
Francisco Javier Baldan, Daniel Peralta, Yvan Saeys, José Manuel Benítez
SCMFTS: Scalable and Distributed Complexity Measures and Features for Univariate and Multivariate Time Series in Big Data Environments. Int. J. Comput. Intell. Syst. 14 (1) (2021)
Francisco Javier Baldan, José Manuel Benítez
Multivariate times series classification through an interpretable representation. Inf. Sci. 569 (2021)
Francisco Javier Baldan, José Manuel Benítez
Multivariable times series classification through an interpretable representation. CoRR (2020)
F. Aragón-Royón, Alfonso Jiménez-Vílchez, Antonio Arauzo-Azofra, José Manuel Benítez
FSinR: an exhaustive package for feature selection. CoRR (2020)
Francisco Javier Baldan, José Manuel Benítez
Complexity Measures and Features for Times Series classification. CoRR (2020)
Francisco Javier Baldan, José Manuel Benítez
Distributed FastShapelet Transform: a Big Data time series classification algorithm. Inf. Sci. 496 (2019)
Manuel Parra-Royon, José Manuel Benítez
Delivering Data Mining Services in Cloud Computing. SERVICES (2019)
Manuel Parra-Royon, José Manuel Benítez
Fuzzy Systems-as-a-Service in Cloud Computing. Int. J. Comput. Intell. Syst. 12 (2) (2019)
Manuel Parra-Royon, Ghislain Atemezing, José Manuel Benítez
Data Mining definition services in Cloud Computing with Linked Data. CoRR (2018)
Sergio Ramírez-Gallego, Salvador García, José Manuel Benítez, Francisco Herrera
A distributed evolutionary multivariate discretizer for Big Data processing on Apache Spark. Swarm Evol. Comput. 38 (2018)
Francisco Javier Baldan, Sergio Ramírez-Gallego, Christoph Bergmeir, Francisco Herrera, José Manuel Benítez
A Forecasting Methodology for Workload Forecasting in Cloud Systems. IEEE Trans. Cloud Comput. 6 (4) (2018)
Daniel Peralta, Isaac Triguero, Salvador García, Yvan Saeys, José Manuel Benítez, Francisco Herrera
On the use of convolutional neural networks for robust classification of multiple fingerprint captures. Int. J. Intell. Syst. 33 (1) (2018)
Sergio Ramírez-Gallego, Héctor Mouriño-Talín, David Martínez-Rego, Verónica Bolón-Canedo, José Manuel Benítez, Amparo Alonso-Betanzos, Francisco Herrera
An Information Theory-Based Feature Selection Framework for Big Data Under Apache Spark. IEEE Trans. Syst. Man Cybern. Syst. 48 (9) (2018)
Daniel Peralta, Christoph Bergmeir, Martin Krone, Marta Galende, Manuel Menéndez, Gregorio Ismael Sainz Palmero, Carlos Martínez Bertrand, Frank Klawonn, José Manuel Benítez
Multiobjective Optimization for Railway Maintenance Plans. J. Comput. Civ. Eng. 32 (3) (2018)
Manuel Parra-Royon, José Manuel Benítez
A Proposal for the Specification of Data Mining Services in Cloud Computing. CLOSER (2018)
Mabel González Castellanos, Christoph Bergmeir, Isaac Triguero, Yanet Rodríguez, José Manuel Benítez
Self-labeling techniques for semi-supervised time series classification: an empirical study. Knowl. Inf. Syst. 55 (2) (2018)
A. Sánchez-Fernandez, Gregorio Ismael Sainz Palmero, José Manuel Benítez, Maria J. Fuente
Linguistic OWA and two time-windows based fault identification in wide plants. Comput. Chem. Eng. 115 (2018)
Pablo David Gutiérrez, Miguel Lastra, José Manuel Benítez, Francisco Herrera
SMOTE-GPU: Big Data preprocessing on commodity hardware for imbalanced classification. Prog. Artif. Intell. 6 (4) (2017)
Sergio Ramírez-Gallego, Bartosz Krawczyk, Salvador García, Michal Wozniak, José Manuel Benítez, Francisco Herrera
Nearest Neighbor Classification for High-Speed Big Data Streams Using Spark. IEEE Trans. Syst. Man Cybern. Syst. 47 (10) (2017)
Daniel Peralta, Salvador García, José Manuel Benítez, Francisco Herrera
Minutiae-based fingerprint matching decomposition: Methodology for big data frameworks. Inf. Sci. 408 (2017)
Sergio Ramírez-Gallego, Iago Lastra, David Martínez-Rego, Verónica Bolón-Canedo, José Manuel Benítez, Francisco Herrera, Amparo Alonso-Betanzos
Fast-mRMR: Fast Minimum Redundancy Maximum Relevance Algorithm for High-Dimensional Big Data. Int. J. Intell. Syst. 32 (2) (2017)
Daniel Peralta, Isaac Triguero, Salvador García, Yvan Saeys, José Manuel Benítez, Francisco Herrera
Distributed incremental fingerprint identification with reduced database penetration rate using a hierarchical classification based on feature fusion and selection. Knowl. Based Syst. 126 (2017)
Daniel Peralta, Isaac Triguero, Salvador García, Yvan Saeys, José Manuel Benítez, Francisco Herrera
Fingerprint classification with a new deep neural network model: robustness for different captures of the same fingerprints. CoRR (2017)
Daniel Peralta, Isaac Triguero, Salvador García, Francisco Herrera, José Manuel Benítez
DPD-DFF: A dual phase distributed scheme with double fingerprint fusion for fast and accurate identification in large databases. Inf. Fusion 32 (2016)
Mabel González Castellanos, Christoph Bergmeir, Isaac Triguero, Yanet Rodríguez, José Manuel Benítez
On the stopping criteria for k-Nearest Neighbor in positive unlabeled time series classification problems. Inf. Sci. 328 (2016)
Pablo David Gutiérrez, Miguel Lastra, Jaume Bacardit, José Manuel Benítez, Francisco Herrera
GPU-SME-kNN: Scalable and memory efficient kNN and lazy learning using GPUs. Inf. Sci. 373 (2016)
Sergio Ramírez-Gallego, Salvador García, José Manuel Benítez, Francisco Herrera
Multivariate Discretization Based on Evolutionary Cut Points Selection for Classification. IEEE Trans. Cybern. 46 (3) (2016)
Sergio Ramírez-Gallego, Salvador García, Héctor Mouriño-Talín, David Martínez-Rego, Verónica Bolón-Canedo, Amparo Alonso-Betanzos, José Manuel Benítez, Francisco Herrera
Data discretization: taxonomy and big data challenge. WIREs Data Mining Knowl. Discov. 6 (1) (2016)
Sergio Ramírez-Gallego, Héctor Mouriño-Talín, David Martínez-Rego, Verónica Bolón-Canedo, José Manuel Benítez, Amparo Alonso-Betanzos, Francisco Herrera
An Information Theoretic Feature Selection Framework for Big Data under Apache Spark. CoRR (2016)
Francisco Barrientos, Gregorio I. Sainz, Alberto Moral, Manuel Parra, José Manuel Benítez, Jorge Rodríguez, Carlos Martínez Bertrand, Francisco Campo, Rubén Carnerero
Open Calculator for Environmental and Social Footprints of Rail Infrastructures. EnviroInfo (1) (2016)
Sara del Río, Victoria López, José Manuel Benítez, Francisco Herrera
A MapReduce Approach to Address Big Data Classification Problems Based on the Fusion of Linguistic Fuzzy Rules. Int. J. Comput. Intell. Syst. 8 (3) (2015)
Victoria López, Sara del Río, José Manuel Benítez, Francisco Herrera
Cost-sensitive linguistic fuzzy rule based classification systems under the MapReduce framework for imbalanced big data. Fuzzy Sets Syst. 258 (2015)
Sergio Ramírez-Gallego, Salvador García, José Manuel Benítez, Francisco Herrera
A Wrapper Evolutionary Approach for Supervised Multivariate Discretization: A Case Study on Decision Trees. CORES (2015)
Miguel Lastra, Daniel Molina, José Manuel Benítez
A high performance memetic algorithm for extremely high-dimensional problems. Inf. Sci. 293 (2015)
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
A survey of fingerprint classification Part II: Experimental analysis and ensemble proposal. Knowl. Based Syst. 81 (2015)
Miguel Lastra, Jesús Carabaño, Pablo David Gutiérrez, José Manuel Benítez, Francisco Herrera
Fast fingerprint identification using GPUs. Inf. Sci. 301 (2015)
Sara del Río, José Manuel Benítez, Francisco Herrera
Analysis of Data Preprocessing Increasing the Oversampling Ratio for Extremely Imbalanced Big Data Classification. TrustCom/BigDataSE/ISPA (2) (2015)
Isaac Triguero, Sara del Río, Victoria López, Jaume Bacardit, José Manuel Benítez, Francisco Herrera
ROSEFW-RF: The winner algorithm for the ECBDL'14 big data competition: An extremely imbalanced big data bioinformatics problem. Knowl. Based Syst. 87 (2015)
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
A survey of fingerprint classification Part I: Taxonomies on feature extraction methods and learning models. Knowl. Based Syst. 81 (2015)
Daniel Peralta, Mikel Galar, Isaac Triguero, Daniel Paternain, Salvador García, Edurne Barrenechea, José Manuel Benítez, Humberto Bustince, Francisco Herrera
A survey on fingerprint minutiae-based local matching for verification and identification: Taxonomy and experimental evaluation. Inf. Sci. 315 (2015)
Emilio Corchado, Ajith Abraham, Pedro Antonio Gutiérrez, José Manuel Benítez, Sebastián Ventura
Special issue: Advances in learning schemes for function approximation. Neurocomputing 135 (2014)
Pablo David Gutiérrez, Miguel Lastra, Francisco Herrera, José Manuel Benítez
A High Performance Fingerprint Matching System for Large Databases Based on GPU. IEEE Trans. Inf. Forensics Secur. 9 (1) (2014)
Lala Septem Riza, Andrzej Janusz, Christoph Bergmeir, Chris Cornelis, Francisco Herrera, Dominik Slezak, José Manuel Benítez
Implementing algorithms of rough set theory and fuzzy rough set theory in the R package "RoughSets". Inf. Sci. 287 (2014)
Alberto Fernández, Sara del Río, Victoria López, Abdullah Bawakid, María José del Jesus, José Manuel Benítez, Francisco Herrera
Big Data with Cloud Computing: an insight on the computing environment, MapReduce, and programming frameworks. WIREs Data Mining Knowl. Discov. 4 (5) (2014)
Sara del Río, Victoria López, José Manuel Benítez, Francisco Herrera
On the use of MapReduce for imbalanced big data using Random Forest. Inf. Sci. 285 (2014)
Daniel Peralta, Isaac Triguero, Raul Sánchez-Reillo, Francisco Herrera, José Manuel Benítez
Fast fingerprint identification for large databases. Pattern Recognit. 47 (2) (2014)
Christoph Bergmeir, Mauro Costantini, José Manuel Benítez
On the usefulness of cross-validation for directional forecast evaluation. Comput. Stat. Data Anal. 76 (2014)
Lala Septem Riza, Christoph Bergmeir, Francisco Herrera, José Manuel Benítez
Learning from data using the R package "FRBS". FUZZ-IEEE (2014)
Daniel Peralta, Mikel Galar, Isaac Triguero, Oscar Miguel-Hurtado, José Manuel Benítez, Francisco Herrera
Minutiae filtering to improve both efficacy and efficiency of fingerprint matching algorithms. Eng. Appl. Artif. Intell. 32 (2014)
Victoria López, Sara del Río, José Manuel Benítez, Francisco Herrera
On the use of MapReduce to build linguistic fuzzy rule based classification systems for big data. FUZZ-IEEE (2014)
Alberto Fernández, Daniel Peralta, José Manuel Benítez, Francisco Herrera
E-learning and educational data mining in cloud computing: an overview. Int. J. Learn. Technol. 9 (1) (2014)
Verónica Bolón-Canedo, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos, José Manuel Benítez, Francisco Herrera
A review of microarray datasets and applied feature selection methods. Inf. Sci. 282 (2014)
Christoph Bergmeir, Gregorio Ismael Sainz Palmero, Carlos Martínez Bertrand, José Manuel Benítez
A Study on the Use of Machine Learning Methods for Incidence Prediction in High-Speed Train Tracks. IEA/AIE (2013)
Rubén García Pajares, José Manuel Benítez, Gregorio Ismael Sainz Palmero
FRASel: a consensus of feature ranking methods for time series modelling. Soft Comput. 17 (8) (2013)
Alberto Fernández, Sara del Río, Francisco Herrera, José Manuel Benítez
An Overview on the Structure and Applications for Business Intelligence and Data Mining in Cloud Computing. KMO (2012)
Christoph Bergmeir, Isaac Triguero, Daniel Molina, José Luis Aznarte, José Manuel Benítez
Time Series Modeling and Forecasting Using Memetic Algorithms for Regime-Switching Models. IEEE Trans. Neural Networks Learn. Syst. 23 (11) (2012)
José Manuel Benítez, Nicolás García-Pedrajas, Francisco Herrera
Special issue on "New Trends in Data Mining" NTDM. Knowl. Based Syst. 25 (1) (2012)
Christoph Bergmeir, José Manuel Benítez
On the use of cross-validation for time series predictor evaluation. Inf. Sci. 191 (2012)
José Luis Aznarte, Jesús Alcalá-Fdez, Antonio Arauzo-Azofra, José Manuel Benítez
Financial time series forecasting with a bio-inspired fuzzy model. Expert Syst. Appl. 39 (16) (2012)
Christoph Bergmeir, Miguel García-Silvente, José Manuel Benítez
Segmentation of cervical cell nuclei in high-resolution microscopic images: A new algorithm and a web-based software framework. Comput. Methods Programs Biomed. 107 (3) (2012)
Christoph Bergmeir, Isaac Triguero, Francisco Velasco, José Manuel Benítez
Optimization of Neuro-Coefficient Smooth Transition Autoregressive Models Using Differential Evolution. HAIS (1) (2012)
Christoph Bergmeir, José Manuel Benítez
Forecaster performance evaluation with cross-validation and variants. ISDA (2011)
José Manuel Benítez, Sabrina Senatore, Ajith Abraham
Guest editorial: special issue on "Intelligent Systems, Design and Applications (ISDA'2009)". Soft Comput. 15 (10) (2011)
José Luis Aznarte, Daniel Molina, Ana M. Sánchez, José Manuel Benítez
A test for the homoscedasticity of the residuals in fuzzy rule-based forecasters. Appl. Intell. 34 (3) (2011)
Antonio Arauzo-Azofra, José Luis Aznarte, José Manuel Benítez
Empirical study of feature selection methods based on individual feature evaluation for classification problems. Expert Syst. Appl. 38 (7) (2011)
José Manuel Benítez, Salvador García, Santi Caballé, Angel A. Juan
Special issue on Hybrid Fuzzy Models. Int. J. Hybrid Intell. Syst. 7 (1) (2010)
José Luis Aznarte, Marcelo C. Medeiros, José Manuel Benítez
Linearity testing for fuzzy rule-based models. Fuzzy Sets Syst. 161 (13) (2010)
José Manuel Benítez, Vincenzo Loia, Francesco Marcelloni
Special Issue on Advances in Intelligent Systems. Int. J. Hybrid Intell. Syst. 7 (4) (2010)
José Luis Aznarte, José Manuel Benítez
Equivalences between neural-autoregressive time series models and fuzzy systems. IEEE Trans. Neural Networks 21 (9) (2010)
José Luis Aznarte, José Manuel Benítez
Testing for Heteroskedasticity of the Residuals in Fuzzy Rule-Based Models. IEA/AIE (2) (2010)
Christoph Bergmeir, Miguel García-Silvente, J. Esquivias López-Cuervo, José Manuel Benítez
Segmentation of cervical cell images using mean-shift filtering and morphological operators. Medical Imaging: Image Processing (2010)
José Luis Aznarte, Marcelo C. Medeiros, José Manuel Benítez
Testing for Remaining Autocorrelation of the residuals in the Framework of Fuzzy Rule-Based Time Series Modelling. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 18 (4) (2010)
Ignacio Robles, Rafael Alcalá, José Manuel Benítez, Francisco Herrera
Distributed Genetic Tuning of Fuzzy Rule-Based Systems. IFSA/EUSFLAT Conf. (2009)
Antonio Arauzo-Azofra, José Luis Aznarte-Mellado, José Manuel Benítez
Empirical Study of Individual Feature Evaluators and Cutting Criteria for Feature Selection in Classification. ISDA (2009)
Ignacio Robles, Rafael Alcalá, José Manuel Benítez, Francisco Herrera
Evolutionary parallel and gradually distributed lateral tuning of fuzzy rule-based systems. Evol. Intell. 2 (1-2) (2009)
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
from the 20 m shuttle run test in adolescents. Artif. Intell. Medicine 44 (3) (2008)
Antonio Arauzo-Azofra, José Manuel Benítez, Juan Luis Castro
Consistency measures for feature selection. J. Intell. Inf. Syst. 30 (3) (2008)
Antonio Arauzo-Azofra, José Manuel Benítez
Empirical Study of Feature Selection Methods in Classification. HIS (2008)
Rubén García Pajares, José Manuel Benítez, Gregorio Ismael Sainz Palmero
Feature Selection for Time Series Forecasting: A Case Study. HIS (2008)
José Luis Aznarte, José Manuel Benítez, Juan Luis Castro
Smooth transition autoregressive models and fuzzy rule-based systems: Functional equivalence and consequences. Fuzzy Sets Syst. 158 (24) (2007)
José Luis Aznarte, José Manuel Benítez
On the Identifiability of TSK Additive Fuzzy Rule-Based Models. SMPS (2006)
José Manuel Puche, José Manuel Benítez, Juan Luis Castro, Carlos Javier Mantas
Fuzzy Pairwise Multiclass Support Vector Machines. MICAI (2006)
José Manuel Benítez, Juan Luis Castro, José Manuel Puche
Building Fuzzy Classifiers with Pairwise Multiclass Support Vector Machines. EUSFLAT Conf. (2005)
José Luis Aznarte, Diego Nieto Lugilde, José Manuel Benítez, Concepción de Linares Fernández
Neuro-Fuzzy prediction of airborne pollen concentrations. EUSFLAT Conf. (2005)
Rafael Alcalá, José Manuel Benítez, Jorge Casillas, Oscar Cordón, Raúl Pérez
Fuzzy Control of HVAC Systems Optimized by Genetic Algorithms. Appl. Intell. 18 (2) (2003)
Juan Luis Castro, Carlos Javier Mantas, José Manuel Benítez
Interpretation of artificial neural networks by means of fuzzy rules. IEEE Trans. Neural Networks 13 (1) (2002)
Juan Luis Castro, Carlos Javier Mantas, José Manuel Benítez
Neural networks with a continuous squashing function in the output are universal approximators. Neural Networks 13 (6) (2000)
José Manuel Benítez, Juan Luis Castro, Carlos Javier Mantas
A link-pruning algorithm for neural networks. EUSFLAT-ESTYLF Joint Conf. (1999)
José Manuel Benítez, Juan Luis Castro, Ignacio Requena
Are artificial neural networks black boxes? IEEE Trans. Neural Networks 8 (5) (1997)