Asynchronously Parallel Boltzmann Machines Mapped onto Distributed-Memory Multiprocessors. - José Manuel Benítez Sánchez; Julio Ortega; Ignacio Requena (IWANN, 1995)

Are artificial neural networks black boxes? - José Manuel Benítez 001; Juan Luis Castro; Ignacio Requena (IEEE Trans. Neural Networks, 1997)

A link-pruning algorithm for neural networks. - José Manuel Benítez 001; Juan Luis Castro; Carlos Javier Mantas (EUSFLAT-ESTYLF Joint Conf., 1999)

Una metodología de construcción de sistemas de clasificación basados en reglas difusas. - José María Fernández Garrido; José Manuel Benítez Sánchez; Ignacio Requena (EUSFLAT-ESTYLF Joint Conf., 1999)

Neural networks with a continuous squashing function in the output are universal approximators. - Juan Luis Castro; Carlos Javier Mantas; José Manuel Benítez 001 (Neural Networks, 2000)

Interpretation of artificial neural networks by means of fuzzy rules. - Juan Luis Castro; Carlos Javier Mantas; José Manuel Benítez 001 (IEEE Trans. Neural Networks, 2002)

Fuzzy Control of HVAC Systems Optimized by Genetic Algorithms. - Rafael Alcalá; José Manuel Benítez 001; Jorge Casillas; Oscar Cordón; Raúl Pérez (Appl. Intell., 2003)

Neuro-Fuzzy prediction of airborne pollen concentrations. - José Luis Aznarte; Diego Nieto Lugilde; José Manuel Benítez 001; Concepción de Linares Fernández (EUSFLAT Conf., 2005)

Building Fuzzy Classifiers with Pairwise Multiclass Support Vector Machines. - José Manuel Benítez 001; Juan Luis Castro; José Manuel Puche (EUSFLAT Conf., 2005)

Fuzzy Pairwise Multiclass Support Vector Machines. - José Manuel Puche; José Manuel Benítez 001; Juan Luis Castro; Carlos Javier Mantas (MICAI, 2006)

On the Identifiability of TSK Additive Fuzzy Rule-Based Models. - José Luis Aznarte; José Manuel Benítez 001 (SMPS, 2006)

Forecasting airborne pollen concentration time series with neural and neuro-fuzzy models. - José Luis Aznarte; José Manuel Benítez Sánchez; Diego Nieto Lugilde; Concepción de Linares Fernández; Consuelo Díaz de la Guardia; Francisca Alba Sánchez (Expert Syst. Appl., 2007)

Smooth transition autoregressive models and fuzzy rule-based systems: Functional equivalence and consequences. - José Luis Aznarte; José Manuel Benítez 001; Juan Luis Castro (Fuzzy Sets Syst., 2007)

Empirical Study of Feature Selection Methods in Classification. - Antonio Arauzo-Azofra; José Manuel Benítez 001 (HIS, 2008)

Feature Selection for Time Series Forecasting: A Case Study. - Rubén García Pajares; José Manuel Benítez 001; Gregorio Ismael Sainz Palmero (HIS, 2008)

Artificial neural network-based equation for estimating VO2max from the 20 m shuttle run test in adolescents. - Jonatan R. Ruiz; Jorge Ramirez-Lechuga; Francisco B. Ortega; José Castro-Piñero; José Manuel Benítez 001; Antonio Arauzo-Azofra; Cristobal Sanchez; Michael Sjöström; Manuel J. Castillo; Ángel Gutiérrez; Mikel Zabala (Artif. Intell. Medicine, 2008)

Consistency measures for feature selection. - Antonio Arauzo-Azofra; José Manuel Benítez 001; Juan Luis Castro (J. Intell. Inf. Syst., 2008)

Distributed Genetic Tuning of Fuzzy Rule-Based Systems. - Ignacio Robles; Rafael Alcalá; José Manuel Benítez 001; Francisco Herrera (IFSA/EUSFLAT Conf., 2009)

Empirical Study of Individual Feature Evaluators and Cutting Criteria for Feature Selection in Classification. - Antonio Arauzo-Azofra; José Luis Aznarte-Mellado; José Manuel Benítez 001 (ISDA, 2009)

Testing for Serial Independence of the Residuals in the Framework of Fuzzy Rule-Based Time Series Modeling. - José Luis Aznarte-Mellado; Antonio Arauzo; José Manuel Benítez Sánchez (ISDA, 2009)

Evolutionary parallel and gradually distributed lateral tuning of fuzzy rule-based systems. - Ignacio Robles; Rafael Alcalá; José Manuel Benítez 001; Francisco Herrera (Evol. Intell., 2009)

Testing for Heteroskedasticity of the Residuals in Fuzzy Rule-Based Models. - José Luis Aznarte; José Manuel Benítez 001 (IEA/AIE (2), 2010)

Segmentation of cervical cell images using mean-shift filtering and morphological operators. - Christoph Bergmeir; Miguel García-Silvente; J. Esquivias López-Cuervo; José Manuel Benítez 001 (Image Processing, 2010)

Linearity testing for fuzzy rule-based models. - José Luis Aznarte; Marcelo C. Medeiros; José Manuel Benítez 001 (Fuzzy Sets Syst., 2010)

Special issue on Hybrid Fuzzy Models. - José Manuel Benítez 001; Salvador García 001; Santi Caballé; Angel A. Juan (Int. J. Hybrid Intell. Syst., 2010)

Special Issue on Advances in Intelligent Systems. - José Manuel Benítez 001; Vincenzo Loia; Francesco Marcelloni (Int. J. Hybrid Intell. Syst., 2010)

Testing for Remaining Autocorrelation of the residuals in the Framework of Fuzzy Rule-Based Time Series Modelling. - José Luis Aznarte; Marcelo C. Medeiros; José Manuel Benítez 001 (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2010)

Equivalences between neural-autoregressive time series models and fuzzy systems. - José Luis Aznarte; José Manuel Benítez 001 (IEEE Trans. Neural Networks, 2010)

On the Use of Distributed Genetic Algorithms for the Tuning of Fuzzy Rule Based-Systems. - Ignacio Robles; Rafael Alcalá; José Manuel Benítez 001; Francisco Herrera (Parallel and Distributed Computational Intelligence, 2010)

Forecaster performance evaluation with cross-validation and variants. - Christoph Bergmeir; José Manuel Benítez 001 (ISDA, 2011)

A test for the homoscedasticity of the residuals in fuzzy rule-based forecasters. - José Luis Aznarte; Daniel Molina; Ana M. Sánchez; José Manuel Benítez 001 (Appl. Intell., 2011)

Empirical study of feature selection methods based on individual feature evaluation for classification problems. - Antonio Arauzo-Azofra; José Luis Aznarte; José Manuel Benítez 001 (Expert Syst. Appl., 2011)

Guest editorial: special issue on "Intelligent Systems, Design and Applications (ISDA'2009)". - José Manuel Benítez 001; Sabrina Senatore; Ajith Abraham (Soft Comput., 2011)

Optimization of Neuro-Coefficient Smooth Transition Autoregressive Models Using Differential Evolution. - Christoph Bergmeir; Isaac Triguero; Francisco Velasco; José Manuel Benítez 001 (HAIS (1), 2012)

An Overview on the Structure and Applications for Business Intelligence and Data Mining in Cloud Computing. - Alberto Fernández 001; Sara del Río; Francisco Herrera; José Manuel Benítez 001 (KMO, 2012)

Segmentation of cervical cell nuclei in high-resolution microscopic images: A new algorithm and a web-based software framework. - Christoph Bergmeir; Miguel García-Silvente; José Manuel Benítez 001 (Comput. Methods Programs Biomed., 2012)

Financial time series forecasting with a bio-inspired fuzzy model. - José Luis Aznarte; Jesús Alcalá-Fdez; Antonio Arauzo-Azofra; José Manuel Benítez 001 (Expert Syst. Appl., 2012)

On the use of cross-validation for time series predictor evaluation. - Christoph Bergmeir; José Manuel Benítez 001 (Inf. Sci., 2012)

Special issue on "New Trends in Data Mining" NTDM. - José Manuel Benítez 001; Nicolás García-Pedrajas; Francisco Herrera (Knowl. Based Syst., 2012)

Time Series Modeling and Forecasting Using Memetic Algorithms for Regime-Switching Models. - Christoph Bergmeir; Isaac Triguero; Daniel Molina; José Luis Aznarte; José Manuel Benítez 001 (IEEE Trans. Neural Networks Learn. Syst., 2012)

A Study on the Use of Machine Learning Methods for Incidence Prediction in High-Speed Train Tracks. - Christoph Bergmeir; Gregorio Ismael Sainz Palmero; Carlos Martínez Bertrand; José Manuel Benítez 001 (IEA/AIE, 2013)

FRASel: a consensus of feature ranking methods for time series modelling. - Rubén García Pajares; José Manuel Benítez 001; Gregorio Ismael Sainz Palmero (Soft Comput., 2013)

The Links between Statistical and Fuzzy Models for Time Series Analysis and Forecasting. - José Luis Aznarte; José Manuel Benítez 001 (Time Series Analysis, Modeling and Applications, 2013)

On the use of MapReduce to build linguistic fuzzy rule based classification systems for big data. - Victoria López; Sara del Río; José Manuel Benítez 001; Francisco Herrera (FUZZ-IEEE, 2014)

Learning from data using the R package "FRBS". - Lala Septem Riza; Christoph Bergmeir; Francisco Herrera; José Manuel Benítez 001 (FUZZ-IEEE, 2014)

On the usefulness of cross-validation for directional forecast evaluation. - Christoph Bergmeir; Mauro Costantini; José Manuel Benítez 001 (Comput. Stat. Data Anal., 2014)

Minutiae filtering to improve both efficacy and efficiency of fingerprint matching algorithms. - Daniel Peralta; Mikel Galar; Isaac Triguero; Oscar Miguel-Hurtado; José Manuel Benítez 001; Francisco Herrera (Eng. Appl. Artif. Intell., 2014)

E-learning and educational data mining in cloud computing: an overview. - Alberto Fernández 001; Daniel Peralta; José Manuel Benítez 001; Francisco Herrera (Int. J. Learn. Technol., 2014)

Special issue: Advances in learning schemes for function approximation. - Emilio Corchado; Ajith Abraham; Pedro Antonio Gutiérrez; José Manuel Benítez 001; Sebastián Ventura (Neurocomputing, 2014)

A review of microarray datasets and applied feature selection methods. - Verónica Bolón-Canedo; Noelia Sánchez-Maroño; Amparo Alonso-Betanzos; José Manuel Benítez 001; Francisco Herrera (Inf. Sci., 2014)

On the use of MapReduce for imbalanced big data using Random Forest. - Sara del Río; Victoria López; José Manuel Benítez 001; Francisco Herrera (Inf. Sci., 2014)

Implementing algorithms of rough set theory and fuzzy rough set theory in the R package "RoughSets". - Lala Septem Riza; Andrzej Janusz; Christoph Bergmeir; Chris Cornelis; Francisco Herrera; Dominik Slezak; José Manuel Benítez 001 (Inf. Sci., 2014)

Fast fingerprint identification for large databases. - Daniel Peralta; Isaac Triguero; Raul Sánchez-Reillo; Francisco Herrera; José Manuel Benítez 001 (Pattern Recognit., 2014)

A High Performance Fingerprint Matching System for Large Databases Based on GPU. - Pablo David Gutiérrez; Miguel Lastra; Francisco Herrera; José Manuel Benítez 001 (IEEE Trans. Inf. Forensics Secur., 2014)

Big Data with Cloud Computing: an insight on the computing environment, MapReduce, and programming frameworks. - Alberto Fernández 001; Sara del Río; Victoria López; Abdullah Bawakid; María José del Jesus; José Manuel Benítez 001; Francisco Herrera (WIREs Data Mining Knowl. Discov., 2014)

A Wrapper Evolutionary Approach for Supervised Multivariate Discretization: A Case Study on Decision Trees. - Sergio Ramírez-Gallego; Salvador García 001; José Manuel Benítez 001; Francisco Herrera (CORES, 2015)

Analysis of Data Preprocessing Increasing the Oversampling Ratio for Extremely Imbalanced Big Data Classification. - Sara del Río; José Manuel Benítez 001; Francisco Herrera (TrustCom/BigDataSE/ISPA (2), 2015)

Cost-sensitive linguistic fuzzy rule based classification systems under the MapReduce framework for imbalanced big data. - Victoria López; Sara del Río; José Manuel Benítez 001; Francisco Herrera (Fuzzy Sets Syst., 2015)

A MapReduce Approach to Address Big Data Classification Problems Based on the Fusion of Linguistic Fuzzy Rules. - Sara del Río; Victoria López; José Manuel Benítez 001; Francisco Herrera (Int. J. Comput. Intell. Syst., 2015)

Fast fingerprint identification using GPUs. - Miguel Lastra; Jesús Carabaño; Pablo David Gutiérrez; José Manuel Benítez 001; Francisco Herrera (Inf. Sci., 2015)

A high performance memetic algorithm for extremely high-dimensional problems. - Miguel Lastra; Daniel Molina; José Manuel Benítez 001 (Inf. Sci., 2015)

A survey on fingerprint minutiae-based local matching for verification and identification: Taxonomy and experimental evaluation. - Daniel Peralta; Mikel Galar; Isaac Triguero; Daniel Paternain; Salvador García 001; Edurne Barrenechea; José Manuel Benítez 001; Humberto Bustince; Francisco Herrera (Inf. Sci., 2015)

A survey of fingerprint classification Part I: Taxonomies on feature extraction methods and learning models. - Mikel Galar; Joaquín Derrac; Daniel Peralta; Isaac Triguero; Daniel Paternain; Carlos Lopez-Molina; Salvador García 001; José Manuel Benítez 001; Miguel Pagola; Edurne Barrenechea Tartas; Humberto Bustince Sola; Francisco Herrera (Knowl. Based Syst., 2015)

A survey of fingerprint classification Part II: Experimental analysis and ensemble proposal. - Mikel Galar; Joaquín Derrac; Daniel Peralta; Isaac Triguero; Daniel Paternain; Carlos Lopez-Molina; Salvador García 001; José Manuel Benítez 001; Miguel Pagola; Edurne Barrenechea Tartas; Humberto Bustince Sola; Francisco Herrera (Knowl. Based Syst., 2015)

ROSEFW-RF: The winner algorithm for the ECBDL'14 big data competition: An extremely imbalanced big data bioinformatics problem. - Isaac Triguero; Sara del Río; Victoria López; Jaume Bacardit; José Manuel Benítez 001; Francisco Herrera (Knowl. Based Syst., 2015)

Open Calculator for Environmental and Social Footprints of Rail Infrastructures. - Francisco Barrientos; Gregorio I. Sainz; Alberto Moral; Manuel Parra; José Manuel Benítez 001; Jorge Rodríguez; Carlos Martínez Bertrand; Francisco Campo; Rubén Carnerero (EnviroInfo (1), 2016)

An Information Theoretic Feature Selection Framework for Big Data under Apache Spark. - Sergio Ramírez-Gallego; Héctor Mouriño-Talín; David Martínez-Rego; Verónica Bolón-Canedo; José Manuel Benítez 001; Amparo Alonso-Betanzos; Francisco Herrera (CoRR, 2016)

DPD-DFF: A dual phase distributed scheme with double fingerprint fusion for fast and accurate identification in large databases. - Daniel Peralta; Isaac Triguero; Salvador García 001; Francisco Herrera; José Manuel Benítez 001 (Inf. Fusion, 2016)

On the stopping criteria for k-Nearest Neighbor in positive unlabeled time series classification problems. - Mabel González Castellanos; Christoph Bergmeir; Isaac Triguero; Yanet Rodríguez; José Manuel Benítez 001 (Inf. Sci., 2016)

GPU-SME-kNN: Scalable and memory efficient kNN and lazy learning using GPUs. - Pablo David Gutiérrez; Miguel Lastra; Jaume Bacardit; José Manuel Benítez 001; Francisco Herrera (Inf. Sci., 2016)

Multivariate Discretization Based on Evolutionary Cut Points Selection for Classification. - Sergio Ramírez-Gallego; Salvador García 001; José Manuel Benítez 001; Francisco Herrera (IEEE Trans. Cybern., 2016)

Data discretization: taxonomy and big data challenge. - Sergio Ramírez-Gallego; Salvador García 001; Héctor Mouriño-Talín; David Martínez-Rego; Verónica Bolón-Canedo; Amparo Alonso-Betanzos; José Manuel Benítez 001; Francisco Herrera (WIREs Data Mining Knowl. Discov., 2016)

Fingerprint classification with a new deep neural network model: robustness for different captures of the same fingerprints. - Daniel Peralta; Isaac Triguero; Salvador García 001; Yvan Saeys; José Manuel Benítez 001; Francisco Herrera (CoRR, 2017)

Fast-mRMR: Fast Minimum Redundancy Maximum Relevance Algorithm for High-Dimensional Big Data. - Sergio Ramírez-Gallego; Iago Lastra; David Martínez-Rego; Verónica Bolón-Canedo; José Manuel Benítez 001; Francisco Herrera; Amparo Alonso-Betanzos (Int. J. Intell. Syst., 2017)

Minutiae-based fingerprint matching decomposition: Methodology for big data frameworks. - Daniel Peralta; Salvador García 001; José Manuel Benítez 001; Francisco Herrera (Inf. Sci., 2017)

Distributed incremental fingerprint identification with reduced database penetration rate using a hierarchical classification based on feature fusion and selection. - Daniel Peralta; Isaac Triguero; Salvador García 001; Yvan Saeys; José Manuel Benítez 001; Francisco Herrera (Knowl. Based Syst., 2017)

SMOTE-GPU: Big Data preprocessing on commodity hardware for imbalanced classification. - Pablo David Gutiérrez; Miguel Lastra; José Manuel Benítez 001; Francisco Herrera (Prog. Artif. Intell., 2017)

Nearest Neighbor Classification for High-Speed Big Data Streams Using Spark. - Sergio Ramírez-Gallego; Bartosz Krawczyk; Salvador García 001; Michal Wozniak 001; José Manuel Benítez 001; Francisco Herrera (IEEE Trans. Syst. Man Cybern. Syst., 2017)

A Proposal for the Specification of Data Mining Services in Cloud Computing. - Manuel Parra-Royon; José Manuel Benítez 001 (CLOSER, 2018)

Linguistic OWA and two time-windows based fault identification in wide plants. - A. Sánchez-Fernandez; Gregorio Ismael Sainz Palmero; José Manuel Benítez 001; Maria J. Fuente (Comput. Chem. Eng., 2018)

Data Mining definition services in Cloud Computing with Linked Data. - Manuel Parra-Royon; Ghislain Atemezing; José Manuel Benítez 001 (CoRR, 2018)

On the use of convolutional neural networks for robust classification of multiple fingerprint captures. - Daniel Peralta; Isaac Triguero; Salvador García 001; Yvan Saeys; José Manuel Benítez 001; Francisco Herrera (Int. J. Intell. Syst., 2018)

Multiobjective Optimization for Railway Maintenance Plans. - Daniel Peralta; Christoph Bergmeir; Martin Krone; Marta Galende; Manuel Menéndez; Gregorio Ismael Sainz Palmero; Carlos Martínez Bertrand; Frank Klawonn; José Manuel Benítez 001 (J. Comput. Civ. Eng., 2018)

Self-labeling techniques for semi-supervised time series classification: an empirical study. - Mabel González Castellanos; Christoph Bergmeir; Isaac Triguero; Yanet Rodríguez; José Manuel Benítez 001 (Knowl. Inf. Syst., 2018)

A distributed evolutionary multivariate discretizer for Big Data processing on Apache Spark. - Sergio Ramírez-Gallego; Salvador García 001; José Manuel Benítez 001; Francisco Herrera (Swarm Evol. Comput., 2018)

A Forecasting Methodology for Workload Forecasting in Cloud Systems. - Francisco Javier Baldan; Sergio Ramírez-Gallego; Christoph Bergmeir; Francisco Herrera; José Manuel Benítez 001 (IEEE Trans. Cloud Comput., 2018)

An Information Theory-Based Feature Selection Framework for Big Data Under Apache Spark. - Sergio Ramírez-Gallego; Héctor Mouriño-Talín; David Martínez-Rego; Verónica Bolón-Canedo; José Manuel Benítez 001; Amparo Alonso-Betanzos; Francisco Herrera (IEEE Trans. Syst. Man Cybern. Syst., 2018)

Delivering Data Mining Services in Cloud Computing. - Manuel Parra-Royon; José Manuel Benítez 001 (SERVICES, 2019)

Fuzzy Systems-as-a-Service in Cloud Computing. - Manuel Parra-Royon; José Manuel Benítez 001 (Int. J. Comput. Intell. Syst., 2019)

Distributed FastShapelet Transform: a Big Data time series classification algorithm. - Francisco Javier Baldan; José Manuel Benítez 001 (Inf. Sci., 2019)

FSinR: an exhaustive package for feature selection. - F. Aragón-Royón; Alfonso Jiménez-Vílchez; Antonio Arauzo-Azofra; José Manuel Benítez 001 (CoRR, 2020)

Multivariable times series classification through an interpretable representation. - Francisco Javier Baldan; José Manuel Benítez 001 (CoRR, 2020)

SCMFTS: Scalable and Distributed Complexity Measures and Features for Univariate and Multivariate Time Series in Big Data Environments. - Francisco Javier Baldan; Daniel Peralta; Yvan Saeys; José Manuel Benítez 001 (Int. J. Comput. Intell. Syst., 2021)

Multivariate times series classification through an interpretable representation. - Francisco Javier Baldan; José Manuel Benítez 001 (Inf. Sci., 2021)

COVID-ViT: COVID-19 Detection Method Based on Vision Transformers. - Luis Balderas; Miguel Lastra; Antonio J. Láinez-Ramos-Bossini; José Manuel Benítez 001 (ISDA (3), 2022)

Semantic of Cloud Computing services for Time Series workflows. - Manuel Parra-Royon; Francisco Javier Baldan; Ghislain Atemezing; José Manuel Benítez 001 (CoRR, 2022)

Semantics of Data Mining Services in Cloud Computing. - Manuel Parra-Royon; Ghislain Atemezing; José Manuel Benítez 001 (IEEE Trans. Serv. Comput., 2022)

Can persistent homology whiten Transformer-based black-box models? A case study on BERT compression. - Luis Balderas; Miguel Lastra; José Manuel Benítez 001 (CoRR, 2023)

Complexity measures and features for times series classification. - Francisco Javier Baldan; José Manuel Benítez 001 (Expert Syst. Appl., 2023)

Reliable central nervous system tumor diagnosis on MRI images with Deep Neural Networks and Conformal Prediction. - Luis Balderas; María Moreno de Castro; Miguel Lastra; José Pablo Martínez; Francisco Javier Pérez; Antonio Láinez; Antonio Arauzo-Azofra; José Manuel Benítez 001 (EXPLIMED@ECAI, 2024)

Optimizing Convolutional Neural Network Architecture. - Luis Balderas; Miguel Lastra; José Manuel Benítez 001 (CoRR, 2024)

Sports center customer segmentation: a case study. - Juan Soto 003; Ramón Carmenaty; Miguel Lastra; Juan M. Fernández-Luna; José Manuel Benítez 001 (CoRR, 2024)

Optimizing dense feed-forward neural networks. - Luis Balderas; Miguel Lastra; José Manuel Benítez 001 (Neural Networks, 2024)

An Efficient Green AI Approach to Time Series Forecasting Based on Deep Learning. - Luis Balderas; Miguel Lastra; José Manuel Benítez 001 (Big Data Cogn. Comput., 2024)