José Manuel Benítez

According to our database1, José Manuel Benítez authored at least 85 papers between 1995 and 2019.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Bibliography

2019
Distributed FastShapelet Transform: a Big Data time series classification algorithm.
Inf. Sci., 2019

Delivering Data Mining Services in Cloud Computing.
Proceedings of the 2019 IEEE World Congress on Services, 2019

2018
An Information Theory-Based Feature Selection Framework for Big Data Under Apache Spark.
IEEE Trans. Systems, Man, and Cybernetics: Systems, 2018

A Forecasting Methodology for Workload Forecasting in Cloud Systems.
IEEE Trans. Cloud Computing, 2018

A distributed evolutionary multivariate discretizer for Big Data processing on Apache Spark.
Swarm and Evolutionary Computation, 2018

Self-labeling techniques for semi-supervised time series classification: an empirical study.
Knowl. Inf. Syst., 2018

On the use of convolutional neural networks for robust classification of multiple fingerprint captures.
Int. J. Intell. Syst., 2018

Linguistic OWA and two time-windows based fault identification in wide plants.
Computers & Chemical Engineering, 2018

A Proposal for the Specification of Data Mining Services in Cloud Computing.
Proceedings of the 8th International Conference on Cloud Computing and Services Science, 2018

2017
Nearest Neighbor Classification for High-Speed Big Data Streams Using Spark.
IEEE Trans. Systems, Man, and Cybernetics: Systems, 2017

SMOTE-GPU: Big Data preprocessing on commodity hardware for imbalanced classification.
Progress in AI, 2017

Distributed incremental fingerprint identification with reduced database penetration rate using a hierarchical classification based on feature fusion and selection.
Knowl.-Based Syst., 2017

Minutiae-based fingerprint matching decomposition: Methodology for big data frameworks.
Inf. Sci., 2017

Fast-mRMR: Fast Minimum Redundancy Maximum Relevance Algorithm for High-Dimensional Big Data.
Int. J. Intell. Syst., 2017

2016
Data discretization: taxonomy and big data challenge.
Wiley Interdiscip. Rev. Data Min. Knowl. Discov., 2016

Multivariate Discretization Based on Evolutionary Cut Points Selection for Classification.
IEEE Trans. Cybernetics, 2016

GPU-SME-kNN: Scalable and memory efficient kNN and lazy learning using GPUs.
Inf. Sci., 2016

On the stopping criteria for k-Nearest Neighbor in positive unlabeled time series classification problems.
Inf. Sci., 2016

DPD-DFF: A dual phase distributed scheme with double fingerprint fusion for fast and accurate identification in large databases.
Information Fusion, 2016

Open Calculator for Environmental and Social Footprints of Rail Infrastructures.
Proceedings of the 30th International Conference on Environmental Informatics, 2016

2015
ROSEFW-RF: The winner algorithm for the ECBDL'14 big data competition: An extremely imbalanced big data bioinformatics problem.
Knowl.-Based Syst., 2015

A survey of fingerprint classification Part II: Experimental analysis and ensemble proposal.
Knowl.-Based Syst., 2015

A survey of fingerprint classification Part I: Taxonomies on feature extraction methods and learning models.
Knowl.-Based Syst., 2015

A survey on fingerprint minutiae-based local matching for verification and identification: Taxonomy and experimental evaluation.
Inf. Sci., 2015

A high performance memetic algorithm for extremely high-dimensional problems.
Inf. Sci., 2015

Fast fingerprint identification using GPUs.
Inf. Sci., 2015

A MapReduce Approach to Address Big Data Classification Problems Based on the Fusion of Linguistic Fuzzy Rules.
Int. J. Comput. Intell. Syst., 2015

Cost-sensitive linguistic fuzzy rule based classification systems under the MapReduce framework for imbalanced big data.
Fuzzy Sets and Systems, 2015

Analysis of Data Preprocessing Increasing the Oversampling Ratio for Extremely Imbalanced Big Data Classification.
Proceedings of the 2015 IEEE TrustCom/BigDataSE/ISPA, 2015

A Wrapper Evolutionary Approach for Supervised Multivariate Discretization: A Case Study on Decision Trees.
Proceedings of the 9th International Conference on Computer Recognition Systems CORES 2015, 2015

2014
Big Data with Cloud Computing: an insight on the computing environment, MapReduce, and programming frameworks.
Wiley Interdiscip. Rev. Data Min. Knowl. Discov., 2014

A High Performance Fingerprint Matching System for Large Databases Based on GPU.
IEEE Trans. Information Forensics and Security, 2014

Fast fingerprint identification for large databases.
Pattern Recognition, 2014

Implementing algorithms of rough set theory and fuzzy rough set theory in the R package "RoughSets".
Inf. Sci., 2014

On the use of MapReduce for imbalanced big data using Random Forest.
Inf. Sci., 2014

A review of microarray datasets and applied feature selection methods.
Inf. Sci., 2014

Special issue: Advances in learning schemes for function approximation.
Neurocomputing, 2014

E-learning and educational data mining in cloud computing: an overview.
IJLT, 2014

Minutiae filtering to improve both efficacy and efficiency of fingerprint matching algorithms.
Eng. Appl. of AI, 2014

On the usefulness of cross-validation for directional forecast evaluation.
Computational Statistics & Data Analysis, 2014

Learning from data using the R package "FRBS".
Proceedings of the IEEE International Conference on Fuzzy Systems, 2014

On the use of MapReduce to build linguistic fuzzy rule based classification systems for big data.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2014

2013
The Links between Statistical and Fuzzy Models for Time Series Analysis and Forecasting.
Proceedings of the Time Series Analysis, Modeling and Applications, 2013

FRASel: a consensus of feature ranking methods for time series modelling.
Soft Comput., 2013

A Study on the Use of Machine Learning Methods for Incidence Prediction in High-Speed Train Tracks.
Proceedings of the Recent Trends in Applied Artificial Intelligence, 2013

2012
Time Series Modeling and Forecasting Using Memetic Algorithms for Regime-Switching Models.
IEEE Trans. Neural Netw. Learning Syst., 2012

Special issue on "New Trends in Data Mining" NTDM.
Knowl.-Based Syst., 2012

On the use of cross-validation for time series predictor evaluation.
Inf. Sci., 2012

Financial time series forecasting with a bio-inspired fuzzy model.
Expert Syst. Appl., 2012

Segmentation of cervical cell nuclei in high-resolution microscopic images: A new algorithm and a web-based software framework.
Computer Methods and Programs in Biomedicine, 2012

An Overview on the Structure and Applications for Business Intelligence and Data Mining in Cloud Computing.
Proceedings of the 7th International Conference on Knowledge Management in Organizations: Service and Cloud Computing, 2012

Optimization of Neuro-Coefficient Smooth Transition Autoregressive Models Using Differential Evolution.
Proceedings of the Hybrid Artificial Intelligent Systems - 7th International Conference, 2012

2011
Guest editorial: special issue on "Intelligent Systems, Design and Applications (ISDA'2009)".
Soft Comput., 2011

Empirical study of feature selection methods based on individual feature evaluation for classification problems.
Expert Syst. Appl., 2011

A test for the homoscedasticity of the residuals in fuzzy rule-based forecasters.
Appl. Intell., 2011

Forecaster performance evaluation with cross-validation and variants.
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011

2010
On the Use of Distributed Genetic Algorithms for the Tuning of Fuzzy Rule Based-Systems.
Proceedings of the Parallel and Distributed Computational Intelligence, 2010

Equivalences between neural-autoregressive time series models and fuzzy systems.
IEEE Trans. Neural Networks, 2010

Testing for Remaining Autocorrelation of the residuals in the Framework of Fuzzy Rule-Based Time Series Modelling.
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2010

Special Issue on Advances in Intelligent Systems.
Int. J. Hybrid Intell. Syst., 2010

Special issue on Hybrid Fuzzy Models.
Int. J. Hybrid Intell. Syst., 2010

Linearity testing for fuzzy rule-based models.
Fuzzy Sets and Systems, 2010

Segmentation of cervical cell images using mean-shift filtering and morphological operators.
Proceedings of the Medical Imaging 2010: Image Processing, 2010

Testing for Heteroskedasticity of the Residuals in Fuzzy Rule-Based Models.
Proceedings of the Trends in Applied Intelligent Systems, 2010

2009
Evolutionary parallel and gradually distributed lateral tuning of fuzzy rule-based systems.
Evolutionary Intelligence, 2009

Testing for Serial Independence of the Residuals in the Framework of Fuzzy Rule-Based Time Series Modeling.
Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009

Empirical Study of Individual Feature Evaluators and Cutting Criteria for Feature Selection in Classification.
Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009

Distributed Genetic Tuning of Fuzzy Rule-Based Systems.
Proceedings of the Joint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference, 2009

2008
Consistency measures for feature selection.
J. Intell. Inf. Syst., 2008

Artificial neural network-based equation for estimating VO2max from the 20 m shuttle run test in adolescents.
Artificial Intelligence in Medicine, 2008

Feature Selection for Time Series Forecasting: A Case Study.
Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008

Empirical Study of Feature Selection Methods in Classification.
Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008

2007
Smooth transition autoregressive models and fuzzy rule-based systems: Functional equivalence and consequences.
Fuzzy Sets and Systems, 2007

Forecasting airborne pollen concentration time series with neural and neuro-fuzzy models.
Expert Syst. Appl., 2007

2006
On the Identifiability of TSK Additive Fuzzy Rule-Based Models.
Proceedings of the Soft Methods for Integrated Uncertainty Modelling, 2006

Fuzzy Pairwise Multiclass Support Vector Machines.
Proceedings of the MICAI 2006: Advances in Artificial Intelligence, 2006

2005
Building Fuzzy Classifiers with Pairwise Multiclass Support Vector Machines.
Proceedings of the Joint 4th Conference of the European Society for Fuzzy Logic and Technology and the 11th Rencontres Francophones sur la Logique Floue et ses Applications, 2005

Neuro-Fuzzy prediction of airborne pollen concentrations.
Proceedings of the Joint 4th Conference of the European Society for Fuzzy Logic and Technology and the 11th Rencontres Francophones sur la Logique Floue et ses Applications, 2005

2003
Fuzzy Control of HVAC Systems Optimized by Genetic Algorithms.
Appl. Intell., 2003

2002
Interpretation of artificial neural networks by means of fuzzy rules.
IEEE Trans. Neural Networks, 2002

2000
Neural networks with a continuous squashing function in the output are universal approximators.
Neural Networks, 2000

1999
Una metodología de construcción de sistemas de clasificación basados en reglas difusas.
Proceedings of the EUSFLAT-ESTYLF Joint Conference, 1999

A link-pruning algorithm for neural networks.
Proceedings of the EUSFLAT-ESTYLF Joint Conference, 1999

1997
Are artificial neural networks black boxes?
IEEE Trans. Neural Networks, 1997

1995
Asynchronously Parallel Boltzmann Machines Mapped onto Distributed-Memory Multiprocessors.
Proceedings of the From Natural to Artificial Neural Computation, 1995


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