José Manuel Benítez
Orcid: 0000-0002-2346-0793Affiliations:
- University of Granada, Department of Computer Science and Artificial Intelligence
According to our database1,
José Manuel Benítez
authored at least 104 papers
between 1995 and 2024.
Collaborative distances:
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Bibliography
2024
Big Data Cogn. Comput., September, 2024
Reliable central nervous system tumor diagnosis on MRI images with Deep Neural Networks and Conformal Prediction.
Proceedings of the First Workshop on Explainable Artificial Intelligence for the Medical Domain (EXPLIMED 2024) co-located with 27th European Conference on Artificial Intelligence (ECAI 2024), 2024
2023
Expert Syst. Appl., 2023
Can persistent homology whiten Transformer-based black-box models? A case study on BERT compression.
CoRR, 2023
2022
IEEE Trans. Serv. Comput., 2022
Proceedings of the Intelligent Systems Design and Applications - 22nd International Conference on Intelligent Systems Design and Applications (ISDA 2022) Held December 12-14, 2022, 2022
2021
Inf. Sci., 2021
SCMFTS: Scalable and Distributed Complexity Measures and Features for Univariate and Multivariate Time Series in Big Data Environments.
Int. J. Comput. Intell. Syst., 2021
2020
CoRR, 2020
2019
Inf. Sci., 2019
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. Syst. Man Cybern. Syst., 2018
IEEE Trans. Cloud Comput., 2018
A distributed evolutionary multivariate discretizer for Big Data processing on Apache Spark.
Swarm Evol. Comput., 2018
Self-labeling techniques for semi-supervised time series classification: an empirical study.
Knowl. Inf. Syst., 2018
J. Comput. Civ. Eng., 2018
On the use of convolutional neural networks for robust classification of multiple fingerprint captures.
Int. J. Intell. Syst., 2018
Comput. Chem. Eng., 2018
Proceedings of the 8th International Conference on Cloud Computing and Services Science, 2018
2017
IEEE Trans. Syst. Man Cybern. Syst., 2017
SMOTE-GPU: Big Data preprocessing on commodity hardware for imbalanced classification.
Prog. Artif. Intell., 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
Fingerprint classification with a new deep neural network model: robustness for different captures of the same fingerprints.
CoRR, 2017
2016
WIREs Data Mining Knowl. Discov., 2016
Multivariate Discretization Based on Evolutionary Cut Points Selection for Classification.
IEEE Trans. Cybern., 2016
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.
Inf. Fusion, 2016
An Information Theoretic Feature Selection Framework for Big Data under Apache Spark.
CoRR, 2016
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
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 Syst., 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.
WIREs Data Mining Knowl. Discov., 2014
IEEE Trans. Inf. Forensics Secur., 2014
Implementing algorithms of rough set theory and fuzzy rough set theory in the R package "RoughSets".
Inf. Sci., 2014
Inf. Sci., 2014
Neurocomputing, 2014
Int. J. Learn. Technol., 2014
Minutiae filtering to improve both efficacy and efficiency of fingerprint matching algorithms.
Eng. Appl. Artif. Intell., 2014
Comput. Stat. Data Anal., 2014
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
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 Networks Learn. Syst., 2012
Expert Syst. Appl., 2012
Segmentation of cervical cell nuclei in high-resolution microscopic images: A new algorithm and a web-based software framework.
Comput. Methods Programs Biomed., 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
Appl. Intell., 2011
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
IEEE Trans. Neural Networks, 2010
Testing for Remaining Autocorrelation of the residuals in the Framework of Fuzzy Rule-Based Time Series Modelling.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2010
Segmentation of cervical cell images using mean-shift filtering and morphological operators.
Proceedings of the Medical Imaging 2010: Image Processing, 2010
Proceedings of the Trends in Applied Intelligent Systems, 2010
2009
Evolutionary parallel and gradually distributed lateral tuning of fuzzy rule-based systems.
Evol. Intell., 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
Proceedings of the Joint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference, 2009
2008
Artificial neural network-based equation for estimating VO<sub>2max</sub> from the 20 m shuttle run test in adolescents.
Artif. Intell. Medicine, 2008
Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008
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 Syst., 2007
Forecasting airborne pollen concentration time series with neural and neuro-fuzzy models.
Expert Syst. Appl., 2007
2006
Proceedings of the Soft Methods for Integrated Uncertainty Modelling, 2006
Proceedings of the MICAI 2006: Advances in Artificial Intelligence, 2006
2005
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
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
2002
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
Proceedings of the EUSFLAT-ESTYLF Joint Conference, 1999
1997
1995
Asynchronously Parallel Boltzmann Machines Mapped onto Distributed-Memory Multiprocessors.
Proceedings of the From Natural to Artificial Neural Computation, 1995