José Manuel Benítez

发表

Are artificial neural networks black boxes?

Ignacio Requena, José Manuel Benítez, Juan Luis Castro, 1997, IEEE Trans. Neural Networks.

Testing for Serial Independence of the Residuals in the Framework of Fuzzy Rule-Based Time Series Modeling

José Manuel Benítez, José Luis Aznarte-Mellado, Antonio Arauzo, 2009, 2009 Ninth International Conference on Intelligent Systems Design and Applications.

Asynchronously Parallel Boltzmann Machines Mapped onto Distributed-Memory Multiprocessors

Julio Ortega, Ignacio Requena, José Manuel Benítez, 1995, IWANN.

Building Fuzzy Classifiers with Pairwise Multiclass Support Vector Machines

José Manuel Benítez, Juan Luis Castro, José Manuel Puche, 2005, EUSFLAT Conf..

A Wrapper Evolutionary Approach for Supervised Multivariate Discretization: A Case Study on Decision Trees

Francisco Herrera, Sergio Ramírez-Gallego, José Manuel Benítez, 2015, CORES.

Guest editorial: special issue on “Intelligent Systems, Design and Applications (ISDA’2009)”

Ajith Abraham, José Manuel Benítez, Sabrina Senatore, 2011, Soft Comput..

A link-pruning algorithm for neural networks

José Manuel Benítez, Juan Luis Castro, Carlos Javier Mantas, 1999, EUSFLAT-ESTYLF Joint Conf..

A MapReduce Approach to Address Big Data Classification Problems Based on the Fusion of Linguistic Fuzzy Rules

Francisco Herrera, José Manuel Benítez, Victoria López, 2015, Int. J. Comput. Intell. Syst..

A distributed evolutionary multivariate discretizer for Big Data processing on Apache Spark

Francisco Herrera, Sergio Ramírez-Gallego, José Manuel Benítez, 2018, Swarm Evol. Comput..

On the use of MapReduce to build linguistic fuzzy rule based classification systems for big data

Francisco Herrera, José Manuel Benítez, Victoria López, 2014, 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Testing for Remaining Autocorrelation of the residuals in the Framework of Fuzzy Rule-Based Time Series Modelling

José Manuel Benítez, Marcelo C. Medeiros, José Luis Aznarte, 2010, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

Optimization of Neuro-Coefficient Smooth Transition Autoregressive Models Using Differential Evolution

José Manuel Benítez, Isaac Triguero, Christoph Bergmeir, 2012, HAIS.

Distributed FastShapelet Transform: a Big Data time series classification algorithm

José Manuel Benítez, Francisco Javier Baldan, 2019, Inf. Sci..

Learning from data using the R package "FRBS"

Francisco Herrera, Lala Septem Riza, José Manuel Benítez, 2014, 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Evolutionary Feature Selection for Big Data Classification: A MapReduce Approach

Sergio Ramírez-Gallego, Daniel Peralta, José Manuel Benítez, 2015 .

Empirical Study of Feature Selection Methods in Classification

José Manuel Benítez, Antonio Arauzo-Azofra, J. M. Benítez, 2008, 2008 Eighth International Conference on Hybrid Intelligent Systems.

Special issue on Hybrid Fuzzy Models

Angel A. Juan, Salvador García, Santi Caballé, 2010, Int. J. Hybrid Intell. Syst..

ROSEFW-RF: The winner algorithm for the ECBDL'14 big data competition: An extremely imbalanced big data bioinformatics problem

Francisco Herrera, Jaume Bacardit, José Manuel Benítez, 2015, Knowl. Based Syst..

Financial time series forecasting with a bio-inspired fuzzy model

Jesús Alcalá-Fdez, José Manuel Benítez, Antonio Arauzo-Azofra, 2012, Expert Syst. Appl..

Linguistic OWA and two time-windows based fault identification in wide plants

Maria J. Fuente, José Manuel Benítez, M. J. Fuente, 2018, Comput. Chem. Eng..

Neural Networks in R Using the Stuttgart Neural Network Simulator: RSNNS

José Manuel Benítez, Christoph Bergmeir, J. M. Benítez, 2012 .

FRASel: a consensus of feature ranking methods for time series modelling

José Manuel Benítez, Gregorio Ismael Sainz Palmero, Rubén García Pajares, 2013, Soft Comput..

Equivalences Between Neural-Autoregressive Time Series Models and Fuzzy Systems

José Manuel Benítez, José Luis Aznarte, 2010, IEEE Transactions on Neural Networks.

Interpretation of artificial neural networks by means of fuzzy rules

José Manuel Benítez, Juan Luis Castro, Carlos Javier Mantas, 2002, IEEE Trans. Neural Networks.

A test for the homoscedasticity of the residuals in fuzzy rule-based forecasters

Ana M. Sánchez, Daniel Molina, José Manuel Benítez, 2011, Applied Intelligence.

8th International Conference on Hybrid Intelligent Systems (HIS 2008), September 10-12, 2008, Barcelona, Spain

Francisco Herrera, Fatos Xhafa, Ajith Abraham, 2008, HIS.

Fast Case-Based Reasoning for Large-Scale Streaming Classification

Francisco Herrera, Bartosz Krawczyk, José Manuel Benítez, 2017 .

Forecasting airborne pollen concentration time series with neural and neuro-fuzzy models

José Manuel Benítez, José Luis Aznarte, Diego Nieto Lugilde, 2007, Expert Syst. Appl..

Big Data with Cloud Computing: an insight on the computing environment, MapReduce, and programming frameworks

María José del Jesús, Francisco Herrera, Alberto Fernández, 2014, WIREs Data Mining Knowl. Discov..

frbs: Fuzzy Rule-Based Systems for Classification and Regression in R

Lala Septem Riza, Francisco Herrera, José Manuel Benítez, 2015 .

A Study on the Use of Machine Learning Methods for Incidence Prediction in High-Speed Train Tracks

José Manuel Benítez, Christoph Bergmeir, Gregorio Ismael Sainz Palmero, 2013, IEA/AIE.

Testing for Heteroskedasticity of the Residuals in Fuzzy Rule-Based Models

José Manuel Benítez, José Luis Aznarte, 2010, IEA/AIE.

An Overview on the Structure and Applications for Business Intelligence and Data Mining in Cloud Computing

Francisco Herrera, Alberto Fernández, José Manuel Benítez, 2012, KMO.

Empirical study of feature selection methods based on individual feature evaluation for classification problems

José Manuel Benítez, Antonio Arauzo-Azofra, José Luis Aznarte, 2011, Expert Syst. Appl..

Delivering Data Mining Services in Cloud Computing

José Manuel Benítez, Manuel Parra-Royon, 2019, 2019 IEEE World Congress on Services (SERVICES).

Memetic Algorithms with Local Search Chains in R: The Rmalschains Package

Daniel Molina, José Manuel Benítez, Christoph Bergmeir, 2016 .

Multivariate Discretization Based on Evolutionary Cut Points Selection for Classification

Francisco Herrera, Sergio Ramírez-Gallego, José Manuel Benítez, 2016, IEEE Transactions on Cybernetics.

An Information Theory-Based Feature Selection Framework for Big Data Under Apache Spark

Verónica Bolón-Canedo, Amparo Alonso-Betanzos, Francisco Herrera, 2018, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

Segmentation of cervical cell images using mean-shift filtering and morphological operators

José Manuel Benítez, Miguel García-Silvente, Christoph Bergmeir, 2010, Medical Imaging.

Fast‐mRMR: Fast Minimum Redundancy Maximum Relevance Algorithm for High‐Dimensional Big Data

Verónica Bolón-Canedo, Amparo Alonso-Betanzos, Francisco Herrera, 2017, Int. J. Intell. Syst..

An Information Theoretic Feature Selection Framework for Big Data under Apache Spark pdf

Verónica Bolón-Canedo, Amparo Alonso-Betanzos, Francisco Herrera, 2016, ArXiv.

DPD-DFF: A dual phase distributed scheme with double fingerprint fusion for fast and accurate identification in large databases

Francisco Herrera, Salvador García, Daniel Peralta, 2016, Inf. Fusion.

Evolutionary parallel and gradually distributed lateral tuning of fuzzy rule-based systems

Francisco Herrera, Rafael Alcalá, José Manuel Benítez, 2009, Evol. Intell..

On the stopping criteria for k-Nearest Neighbor in positive unlabeled time series classification problems

José Manuel Benítez, Isaac Triguero, Yanet Rodríguez, 2016, Inf. Sci..

E-learning and educational data mining in cloud computing: an overview

Francisco Herrera, Alberto Fernández, Daniel Peralta, 2014, Int. J. Learn. Technol..

Big data preprocessing: methods and prospects

Francisco Herrera, Sergio Ramírez-Gallego, José Manuel Benítez, 2016 .

Self-labeling techniques for semi-supervised time series classification: an empirical study

José Manuel Benítez, Isaac Triguero, Yanet Rodríguez, 2018, Knowledge and Information Systems.

Fuzzy Pairwise Multiclass Support Vector Machines

José Manuel Benítez, Juan Luis Castro, Carlos Javier Mantas, 2006, MICAI.

Impact of IT integration on the firm's knowledge absorption and desorption

José Manuel Benítez, Jessica Braojos, Laura Ruiz, 2020, Inf. Manag..

Multicriteria Genetic Tuning for the Optimization and Control of HVAC Systems

Rafael Alcalá, Jorge Casillas, Oscar Cordón, 2003 .

On the usefulness of cross-validation for directional forecast evaluation

José Manuel Benítez, Christoph Bergmeir, Mauro Costantini, 2014, Comput. Stat. Data Anal..

Special issue: Advances in learning schemes for function approximation

Pedro Antonio Gutiérrez, Emilio Corchado, Ajith Abraham, 2014, Neurocomputing.

Fault detection based on time series modeling and multivariate statistical process control

José Manuel Benítez, M. J. Fuente, G. I. Sainz-Palmero, 2018, Chemometrics and Intelligent Laboratory Systems.

Open Calculator for Environmental and Social Footprints of Rail Infrastructures

José Manuel Benítez, Jorge Rodríguez, Gregorio I. Sainz, 2016, EnviroInfo.

A survey of fingerprint classification Part II

Francisco Herrera, Humberto Bustince, Carlos Lopez-Molina, 2015 .

Analysis of Data Preprocessing Increasing the Oversampling Ratio for Extremely Imbalanced Big Data Classification

Francisco Herrera, José Manuel Benítez, Sara del Río, 2015, 2015 IEEE Trustcom/BigDataSE/ISPA.

Fingerprint classification with a new deep neural network model: robustness for different captures of the same fingerprints pdf

Francisco Herrera, Yvan Saeys, Salvador García, 2017, ArXiv.

Proceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part III

Francisco Herrera, Colin Fyfe, Moonis Ali, 2010 .

Consistency measures for feature selection

José Manuel Benítez, Juan Luis Castro, Antonio Arauzo-Azofra, 2008, Journal of Intelligent Information Systems.

Fuzzy Control of HVAC Systems Optimized by Genetic Algorithms

Rafael Alcalá, Jorge Casillas, Oscar Cordón, 2003, Applied Intelligence.

Forecaster performance evaluation with cross-validation and variants

José Manuel Benítez, Christoph Bergmeir, J. M. Benítez, 2011, 2011 11th International Conference on Intelligent Systems Design and Applications.

Minutiae filtering to improve both efficacy and efficiency of fingerprint matching algorithms

Mikel Galar, Francisco Herrera, Daniel Peralta, 2014, Eng. Appl. Artif. Intell..

Multiobjective optimization for railway maintenance plans

Frank Klawonn, Daniel Peralta, José Manuel Benítez, 2018 .

Nearest Neighbor Classification for High-Speed Big Data Streams Using Spark

Sergio Ramírez-Gallego, Bartosz Krawczyk, José Manuel Benítez, 2017, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

Segmentation of cervical cell nuclei in high-resolution microscopic images: A new algorithm and a web-based software framework

José Manuel Benítez, Miguel García-Silvente, Christoph Bergmeir, 2012, Comput. Methods Programs Biomed..

Data Mining definition services in Cloud Computing with Linked Data pdf

José Manuel Benítez, Ghislain Atemezing, Manuel Parra-Royon, 2018, ArXiv.

Smooth transition autoregressive models and fuzzy rule-based systems: Functional equivalence and consequences

José Manuel Benítez, Juan Luis Castro, José Luis Aznarte, 2007, Fuzzy Sets Syst..

Distributed incremental fingerprint identification with reduced database penetration rate using a hierarchical classification based on feature fusion and selection

Francisco Herrera, Yvan Saeys, Salvador García, 2017, Knowl. Based Syst..

Artificial neural network-based equation for estimating VO2max from the 20 m shuttle run test in adolescents

Francisco B. Ortega, José Manuel Benítez, Antonio Arauzo-Azofra, 2008, Artif. Intell. Medicine.

On the use of cross-validation for time series predictor evaluation

José Manuel Benítez, Christoph Bergmeir, J. M. Benítez, 2012, Inf. Sci..

Cost-sensitive linguistic fuzzy rule based classification systems under the MapReduce framework for imbalanced big data

Francisco Herrera, José Manuel Benítez, Victoria López, 2015, Fuzzy Sets Syst..

A review of microarray datasets and applied feature selection methods

Verónica Bolón-Canedo, Amparo Alonso-Betanzos, José Manuel Benítez, 2014, Inf. Sci..

Implementing algorithms of rough set theory and fuzzy rough set theory in the R package "RoughSets"

Francisco Herrera, Chris Cornelis, Dominik Slezak, 2014, Inf. Sci..

The Links between Statistical and Fuzzy Models for Time Series Analysis and Forecasting

José Manuel Benítez, José Luis Aznarte, 2013, Time Series Analysis, Modeling and Applications.

Minutiae-based fingerprint matching decomposition: Methodology for big data frameworks

Francisco Herrera, Salvador García, Daniel Peralta, 2017, Inf. Sci..

Una metodología de construcción de sistemas de clasificación basados en reglas difusas

Ignacio Requena, José Manuel Benítez, José María Fernández Garrido, 1999, EUSFLAT-ESTYLF Joint Conf..

Special Issue on Advances in Intelligent Systems

Francesco Marcelloni, Vincenzo Loia, José Manuel Benítez, 2010, Int. J. Hybrid Intell. Syst..

SMOTE-GPU: Big Data preprocessing on commodity hardware for imbalanced classification

Francisco Herrera, Miguel Lastra, José Manuel Benítez, 2017, Progress in Artificial Intelligence.

On the Identifiability of TSK Additive Fuzzy Rule-Based Models

José Manuel Benítez, José Luis Aznarte, J. M. Benítez, 2006, SMPS.

A survey of fingerprint classification Part II: Experimental analysis and ensemble proposal

Humberto Bustince, Carlos Lopez-Molina, Mikel Galar, 2015, Knowl. Based Syst..

Distributed Genetic Tuning of Fuzzy Rule-Based Systems

Francisco Herrera, Rafael Alcalá, José Manuel Benítez, 2009, IFSA/EUSFLAT Conf..

Knowledge-based Minimization of Railway Infrastructures Environmental Impact

José Manuel Benítez, Manuel Parra, Gregorio Sainz, 2016 .

Neuro-Fuzzy prediction of airborne pollen concentrations

José Manuel Benítez, José Luis Aznarte, Diego Nieto Lugilde, 2005, EUSFLAT Conf..

A High Performance Fingerprint Matching System for Large Databases Based on GPU

Francisco Herrera, Miguel Lastra, José Manuel Benítez, 2014, IEEE Transactions on Information Forensics and Security.

Feature Selection [R package FSinR version 2.0.5]

José Manuel Benítez, Antonio Arauzo-Azofra, J. M. Benítez, 2020 .

A Proposal for the Specification of Data Mining Services in Cloud Computing

José Manuel Benítez, Manuel Parra-Royon, J. M. Benítez, 2018, CLOSER.

On the use of convolutional neural networks for robust classification of multiple fingerprint captures

Francisco Herrera, Yvan Saeys, Salvador García, 2017, Int. J. Intell. Syst..

Empirical Study of Individual Feature Evaluators and Cutting Criteria for Feature Selection in Classification

José Manuel Benítez, Antonio Arauzo-Azofra, José Luis Aznarte-Mellado, 2009, 2009 Ninth International Conference on Intelligent Systems Design and Applications.

On the use of MapReduce for imbalanced big data using Random Forest

Francisco Herrera, José Manuel Benítez, Victoria López, 2014, Inf. Sci..

A survey of fingerprint classification Part I: Taxonomies on feature extraction methods and learning models

Francisco Herrera, Humberto Bustince, Carlos Lopez-Molina, 2015, Knowl. Based Syst..

An Overview of E-Learning in Cloud Computing

Francisco Herrera, Daniel Peralta, José Manuel Benítez, 2012 .

Development of a Smart Framework Based on Knowledge to Support Infrastructure Maintenance Decisions in Railway Corridors

José Manuel Benítez, Manuel Menéndez, C Martínez, 2016 .

GA-P Based Search of Structures and Parameters of Dynamital Process Models

Oscar Cordón, Frank Hoffmann, José Manuel Benítez, 2003 .

Data discretization: taxonomy and big data challenge

Verónica Bolón-Canedo, Amparo Alonso-Betanzos, Francisco Herrera, 2016, WIREs Data Mining Knowl. Discov..

Feature Selection for Time Series Forecasting: A Case Study

José Manuel Benítez, Gregorio Ismael Sainz Palmero, Rubén García Pajares, 2008, 2008 Eighth International Conference on Hybrid Intelligent Systems.

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

Nicolás García-Pedrajas, José Manuel Benítez, Francisco Herrera, 2010, IEA/AIE.

Linearity testing for fuzzy rule-based models

José Manuel Benítez, Marcelo C. Medeiros, José Luis Aznarte, 2010, Fuzzy Sets Syst..

Advances in Soft Computing

Rajkumar Roy, Oscar Cordón, Frank Hoffmann, 2018, Lecture Notes in Computer Science.

On the Use of Distributed Genetic Algorithms for the Tuning of Fuzzy Rule Based-Systems

Francisco Herrera, Rafael Alcalá, José Manuel Benítez, 2010, Parallel and Distributed Computational Intelligence.

Fuzzy Systems-as-a-Service in Cloud Computing

José Manuel Benítez, Manuel Parra-Royon, 2019, Int. J. Comput. Intell. Syst..

Time Series Modeling and Forecasting Using Memetic Algorithms for Regime-Switching Models

Daniel Molina, José Manuel Benítez, Isaac Triguero, 2012, IEEE Transactions on Neural Networks and Learning Systems.

Special issue on "New Trends in Data Mining" NTDM

Francisco Herrera, Francisco Herrera, Nicolás García-Pedrajas, 2012, Knowl. Based Syst..

Fast fingerprint identification for large databases

Daniel Peralta, José Manuel Benítez, Raul Sánchez-Reillo, 2014, Pattern Recognit..

GPU-SME-kNN: Scalable and memory efficient kNN and lazy learning using GPUs

Francisco Herrera, Miguel Lastra, Jaume Bacardit, 2016, Inf. Sci..

A high performance memetic algorithm for extremely high-dimensional problems

José Manuel Benítez, Daniel Molina, J. M. Benítez, 2015, Inf. Sci..

A survey on fingerprint minutiae-based local matching for verification and identification: Taxonomy and experimental evaluation

Francisco Herrera, Humberto Bustince, Mikel Galar, 2015, Inf. Sci..

Value creation and appropriation of software vendors: A digital innovation model for cloud computing

José Manuel Benítez, Dirk Schneckenberg, Vivek K. Velamuri, 2021, Inf. Manag..

SCMFTS: Scalable and Distributed Complexity Measures and Features for Univariate and Multivariate Time Series in Big Data Environments

Yvan Saeys, Daniel Peralta, José Manuel Benítez, 2021, Int. J. Comput. Intell. Syst..

C-FOCUS: A continuous extension of FOCUS

José Manuel Benítez, Antonio Arauzo, Juan Castro, 2003 .