Líneas de investigación

  • Time series analysis and prediction

José Manuel Benítez Sánchez

Category

Doctor

Contact

J.M.Benitez@U8JZaAUobdecsai.ugr.es

Organismo

UGR

Líneas de investigación

  • Time series analysis and prediction

Researcher Profile

Total From 2015:
Citas Total: 5963 From 2015: 4691
Índice H Total: 38 From 2015: 35
Índice i10 Total: 72 From 2015: 61

Papers (172)

Title Authors Year
FSinR: an exhaustive package for feature selection F Aragón-Royón, A Jiménez-Vílchez, A Arauzo-Azofra, JM Benítez. 2020
Complexity Measures and Features for Times Series classification FJ Baldán, JM Benítez. 2020
Impact of IT integration on the firm’s knowledge absorption and desorption J Braojos, J Benitez, J Llorens, L Ruiz. 2020
Can kinematic and kinetic differences between planned and unplanned volleyball block jump-landings be associated with injury risk factors? E Mercado-Palomino, J Richards, A Molina-Molina, JM Benítez, AU Espa. 2020
Tribute to Professor Edgar H. Sibley and His Contributions to the IS Discipline P Palvia, J Benitez, TP Liang, PYK Chau. 2020
How to perform and report an impactful analysis using partial least squares: Guidelines for confirmatory and explanatory IS research J Benitez, J Henseler, A Castillo, F Schuberth. 2020
How do agribusinesses thrive through complexity? The pivotal role of e-commerce capability and business agility J Lin, L Li, XR Luo, J Benitez. 2020
Multivariable times series classification through an interpretable representation FJ Baldán, JM Benítez. 2020
Ability to Predict Side-Out Performance by the Setter’s Action Range with First Tempo Availability in Top European Male and Female Teams A Millán-Sánchez, MJ Parra-Royón, JM Benítez, A Ureña Espa. 2020
Distributed FastShapelet Transform: a Big Data time series classification algorithm FJ Baldán, JM Benítez. 2019
Package ‘Rmalschains’ C Bergmeir, JM Benítez, D Molina, R Davies, D Eddelbuettel, N Hansen. 2019
Delivering data mining services in Cloud Computing M Parra-Royón, JM Benítez. 2019
Overall quality optimization for DQM stage in High Energy Physics experiments MJ Parra-Royón, N Benekos, JM Benítez. 2019
Fuzzy Systems-as-a-Service in Cloud Computing M Parra-Royon, JM Benítez. 2019
How corporate social responsibility activities influence employer reputation: The role of social media capability J Benitez, L Ruiz, A Castillo, J Llorens. 2019
Information and Operational Decision Sciences: The Interplay of Information Technology and Operational Decision Sciences J Benitez, X Luo, G Vastag. 2019
Clinical Characteristics, Associated Malignancies and Management of Primary Sclerosing Cholangitis in Inflammatory Bowel Disease Patients: A Multicentre Retrospective Cohort Study I Guerra, L Bujanda, J Castro, O Merino, J Tosca, B Camps, A Gutiérrez, .... 2019
On the use of convolutional neural networks for robust classification of multiple fingerprint captures D Peralta, I Triguero, S García, Y Saeys, JM Benitez, F Herrera. 2018
A distributed evolutionary multivariate discretizer for big data processing on apache spark S Ramírez-Gallego, S García, JM Benítez, F Herrera. 2018
Multiobjective optimization for railway maintenance plans D Peralta, C Bergmeir, M Krone, M Galende, M Menéndez, .... 2018
Fault detection based on time series modeling and multivariate statistical process control A Sánchez-Fernández, FJ Baldán, GI Sainz-Palmero, JM Benítez, .... 2018
Linguistic OWA and two time-windows based fault identification in wide plants A Sánchez-Fernández, GI Sainz-Palmero, JM Benítez, MJ Fuente. 2018
Self-labeling techniques for semi-supervised time series classification: an empirical study M González, C Bergmeir, I Triguero, Y Rodríguez, JM Benítez. 2018
Semantics of Data Mining Services in Cloud Computing M Parra-Royon, G Atemezing, JM Benítez. 2018
Data Mining definition services in Cloud Computing with Linked Data. M Parra-Royon, G Atemezing, JM Benítez. 2018
Un procedimiento efectivo para descomponer y modelar series temporales en agricultura F Aragón, FJ Baldán, M Parra, JM Benıtez. 2018
A Proposal for the Specification of Data Mining Services in Cloud Computing. M Parra-Royon, JM Benítez. 2018
Data mining definition services in cloud computing with linked data M Parra-Royon, G Atemezing, JM Benítez. 2018
Clinical characteristics, associated malignancies and management of primary sclerosing colangitis in inflammatory bowel disease patients: A Spanish nationwide study based on … I Guerra, L Bujanda, J Castro, O Merino, J Tosca, B Camps, A Gutierrez, .... 2018
Fast‐mRMR: Fast Minimum Redundancy Maximum Relevance Algorithm for High‐Dimensional Big Data S Ramírez‐Gallego, I Lastra, D Martínez‐Rego, V Bolón‐Canedo, .... 2017
An information theory-based feature selection framework for big data under apache spark S Ramírez-Gallego, H Mouriño-Talín, D Martínez-Rego, V Bolón-Canedo, .... 2017
Nearest neighbor classification for high-speed big data streams using spark S Ramírez-Gallego, B Krawczyk, S García, M Woźniak, JM Benítez, .... 2017
Minutiae-based fingerprint matching decomposition: methodology for big data frameworks D Peralta, S García, JM Benitez, F Herrera. 2017
Distributed incremental fingerprint identification with reduced database penetration rate using a hierarchical classification based on feature fusion and selection D Peralta, I Triguero, S García, Y Saeys, JM Benitez, F Herrera. 2017
SMOTE-GPU: Big data preprocessing on commodity hardware for imbalanced classification PD Gutiérrez, M Lastra, JM Benítez, F Herrera. 2017
Robust classification of different fingerprint copies with deep neural networks for database penetration rate reduction D Peralta, I Triguero, S García, Y Saeys, JM Benitez, F Herrera. 2017
Fast case-based reasoning for large-scale streaming classification S Ramfrez-Gallego, B Krawczyk, S Garcia, M Wozniak, JM Benítez, .... 2017
Open Calculator for Environmental and Social Footprints of Rail Infrastructures F Barrientos, G Sainz, A Moral, M Parra, JM Benítez, J Rodríguez, .... 2017
GPU Processing for Biometric Big Data Based Identification. Why and what for? M Lastra, PD Gutiérrez, JM Benítez, F Herrera. 2017
Fingerprint classification with a new deep neural network model: robustness for different captures of the same fingerprints. D Peralta, I Triguero, S García, Y Saeys, JM Benítez, F Herrera. 2017
Big data preprocessing: methods and prospects S García, S Ramírez-Gallego, J Luengo, JM Benítez, F Herrera. 2016
Data discretization: taxonomy and big data challenge S Ramírez‐Gallego, S García, H Mouriño‐Talín, D Martínez‐Rego, .... 2016
Bagging exponential smoothing methods using STL decomposition and Box–Cox transformation C Bergmeir, RJ Hyndman, JM Benítez. 2016
GPU-SME-kNN: Scalable and memory efficient kNN and lazy learning using GPUs PD Gutiérrez, M Lastra, J Bacardit, JM Benítez, F Herrera. 2016
On the stopping criteria for k-Nearest Neighbor in positive unlabeled time series classification problems M González, C Bergmeir, I Triguero, Y Rodríguez, JM Benítez. 2016
DPD-DFF: A dual phase distributed scheme with double fingerprint fusion for fast and accurate identification in large databases D Peralta, I Triguero, S García, F Herrera, JM Benitez. 2016
Relationship between middle hitter and setter’s position and its influence on the attack zone in elite men’s volleyball MIS Peiró, M Parra, J León, L Fradua, JM Benítez, A Ureña. 2016
A forecasting methodology for workload forecasting in cloud systems FJ Baldán, S Ramírez-Gallego, C Bergmeir, F Herrera, JM Benítez. 2016
Memetic algorithms with local search chains in R: The Rmalschains package CN Bergmeir, D Molina Cabrera, JM Benítez Sánchez. 2016
Development of a smart framework based on knowledge to support infrastructure maintenance decisions in railway corridors M Menéndez, C Martínez, G Sanz, JM Benitez. 2016
An information theoretic feature selection framework for big data under apache spark S Ramírez-Gallego, H Mouriño-Talín, D Martínez-Rego, V Bolón-Canedo, .... 2016
Knowledge-based minimization of railway infrastructures environmental impact F Barrientos, A Moral, J Rodríguez, C Martínez, F Campo, R Carnerero, .... 2016
A Wrapper Evolutionary Approach for Supervised Multivariate Discretization: A Case Study on Decision Trees S Ramírez-Gallego, S García, JM Benítez, F Herrera. 2016
Report of the Inaugural Meeting of the TFOS i 2 ¼ initiating innovation Series: Targeting the Unmet Need for Dry Eye Treatment C WENDY, C BELMONTE, JM BENITEZ, MD CASTILLO, J ANTHONY, .... 2016
HYBRID COMPUTATIONAL INTELLIGENCE A Fernández, R Alcalá, JM Benítez, F Herrera. 2015
Cost-sensitive linguistic fuzzy rule based classification systems under the MapReduce framework for imbalanced big data V López, S Del Río, JM Benítez, F Herrera. 2015
frbs: Fuzzy rule-based systems for classification and regression in R LS Riza, CN Bergmeir, F Herrera, JM Benítez Sánchez. 2015
A survey on fingerprint minutiae-based local matching for verification and identification: Taxonomy and experimental evaluation D Peralta, M Galar, I Triguero, D Paternain, S García, E Barrenechea, .... 2015
ROSEFW-RF: the winner algorithm for the ECBDL’14 big data competition: an extremely imbalanced big data bioinformatics problem I Triguero, S del Río, V López, J Bacardit, JM Benítez, F Herrera. 2015
A mapreduce approach to address big data classification problems based on the fusion of linguistic fuzzy rules S del Rio, V Lopez, JM Benítez, F Herrera. 2015
Evolutionary feature selection for big data classification: A mapreduce approach D Peralta, S del Río, S Ramírez-Gallego, I Triguero, JM Benitez, F Herrera. 2015
A survey of fingerprint classification Part I: Taxonomies on feature extraction methods and learning models M Galar, J Derrac, D Peralta, I Triguero, D Paternain, C Lopez-Molina, .... 2015
A survey of fingerprint classification Part II: Experimental analysis and ensemble proposal M Galar, J Derrac, D Peralta, I Triguero, D Paternain, C Lopez-Molina, .... 2015
Multivariate discretization based on evolutionary cut points selection for classification S Ramírez-Gallego, S García, JM Benítez, F Herrera. 2015
A high performance memetic algorithm for extremely high-dimensional problems M Lastra, D Molina, JM Benítez. 2015
Fast fingerprint identification using GPUs M Lastra, J Carabaño, PD Gutiérrez, JM Benítez, F Herrera. 2015
Distributed entropy minimization discretizer for big data analysis under apache spark S Ramírez-Gallego, S García, H Mouriño-Talín, D Martínez-Rego, .... 2015
Analysis of data preprocessing increasing the oversampling ratio for extremely imbalanced big data classification S del Río, JM Benítez, F Herrera. 2015
Package ‘RoughSets’ LS Riza, A Janusz, D Slezak, C Cornelis, F Herrera, JM Benitez, .... 2015
Package ‘RSNNS’ C Bergmeir, JM Benítez. 2015
Supplementary material for “DPD-DFF: A Dual Phase Distributed Scheme with Double Fingerprint Fusion for Fast and Accurate Identification in Large Databases” D Peralta, I Triguero, S García, F Herrera, JM Benitez. 2015
Research Article Evolutionary Feature Selection for Big Data Classification: A MapReduce Approach D Peralta, S del Río, S Ramírez-Gallego, I Triguero, JM Benitez, F Herrera. 2015
Big Data with Cloud Computing: an insight on the computing environment, MapReduce, and programming frameworks A Fernández, S del Río, V López, A Bawakid, MJ del Jesus, JM Benítez, .... 2014
A review of microarray datasets and applied feature selection methods V Bolón-Canedo, N Sánchez-Marono, A Alonso-Betanzos, JM Benítez, .... 2014
On the use of MapReduce for imbalanced big data using Random Forest S Del Río, V López, JM Benítez, F Herrera. 2014
Implementing algorithms of rough set theory and fuzzy rough set theory in the R package “roughsets” LS Riza, A Janusz, C Bergmeir, C Cornelis, F Herrera, D Śle, JM Benítez. 2014
Fast fingerprint identification for large databases D Peralta, I Triguero, R Sanchez-Reillo, F Herrera, JM Benítez. 2014
E-learning and educational data mining in cloud computing: an overview A Fernández, D Peralta, JM Benítez, F Herrera. 2014
Minutiae filtering to improve both efficacy and efficiency of fingerprint matching algorithms D Peralta, M Galar, I Triguero, O Miguel-Hurtado, JM Benitez, F Herrera. 2014
On the usefulness of cross-validation for directional forecast evaluation C Bergmeir, M Costantini, JM Benítez. 2014
Learning from data using the R package" FRBS" LS Riza, C Bergmeir, F Herrera, JM Benitez. 2014
On the use of MapReduce to build linguistic fuzzy rule based classification systems for big data V López, S del Rio, JM Benitez, F Herrera. 2014
Package ‘frbs’ LS Riza, C Bergmeir, F Herrera, JM Benitez. 2014
Constructing fuzzy rule-based systems with the R package “frbs” LS Riza, C Bergmeir, F Herrera, JM Benítez. 2014
3. A study on the Scalability of FRBCSs for Imbalanced Datasets in the Big Data Scenario V López, S del Rıo, JM Benıtez, F Herrera, CSLFR Based. 2014
Advances in learning schemes for function approximation E Corchado Rodríguez, AP Abraham, PA Gutiérrez, JM Benítez, .... 2014
A high performance fingerprint matching system for large databases based on GPU PD Gutierrez, M Lastra, F Herrera, JM Benitez. 2013
An overview on the structure and applications for business intelligence and data mining in cloud computing A Fernández, S del Río, F Herrera, JM Benítez. 2013
A study on the use of machine learning methods for incidence prediction in high-speed train tracks C Bergmeir, G Sáinz, CM Bertrand, JM Benítez. 2013
FRASel: a consensus of feature ranking methods for time series modelling R García-Pajares, JM Benítez, GI Sainz-Palmero. 2013
The links between statistical and fuzzy models for time series analysis and forecasting JL Aznarte, JM Benítez. 2013
Rsiopred: An R package for forecasting by exponential smoothing with model selection by a fuzzy multicriteria approach C Bergmeir, JM Benítez, J Bermúdez, JV Segura, E Vercher. 2013
Financial time series forecasting with a bio-inspired fuzzy model JL Aznarte, J Alcalá-Fdez, A Arauzo-Azofra, JM Benítez. 2012
Neural networks in R using the Stuttgart neural network simulator: RSNNS CN Bergmeir, JM Benítez Sánchez. 2012
On the use of cross-validation for time series predictor evaluation C Bergmeir, JM Benítez. 2012
Segmentation of cervical cell nuclei in high-resolution microscopic images: a new algorithm and a web-based software framework C Bergmeir, MG Silvente, JM Benítez. 2012
An overview of e-learning in cloud computing A Fernandez, D Peralta, F Herrera, JM Benítez. 2012
Time series modeling and forecasting using memetic algorithms for regime-switching models C Bergmeir, I Triguero, D Molina, JL Aznarte, JM Benitez. 2012
Special issue on “new trends in data mining” NTDM JM Benítez, N García-Pedrajas, F Herrera. 2012
Optimization and Control of HVAC Systems R Alcalá, JM Benítez, J Casillas, JL Castro, O Cordón, A González, .... 2012
and Forecasting JL Aznarte, JM Benitez. 2012
Optimization of neuro-coefficient smooth transition autoregressive models using differential evolution C Bergmeir, I Triguero, F Velasco, JM Benítez. 2012
El diagnóstico en citología: Extracción de rasgos y cuantificación de los mismos. Ensayo sobre citología tiroidea J ESQUIVIAS, J ALONSO, JM BENITEZ, MDEP ROYON, F JIMENEZ, .... 2012
Special issue on" New Trends in Data Mining" NTDM JM Benítez, N García-Pedrajas, F Herrera. 2012
Fuzzy Autoregressive Rules: Towards Linguistic Time Series Modeling JL Aznarte, J Alcala-Fdez, A Arauzo, JM Benítez. 2011
Empirical study of feature selection methods based on individual feature evaluation for classification problems A Arauzo-Azofra, JL Aznarte, JM Benítez. 2011
Forecaster performance evaluation with cross-validation and variants C Bergmeir, JM Benitez. 2011
A test for the homoscedasticity of the residuals in fuzzy rule-based forecasters JL Aznarte, D Molina, AM Sánchez, JM Benítez. 2011
Trends in Applied Intelligent Systems: 23rd International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2010, Cordoba … N García-Pedrajas, F Herrera, C Fyfe, JMB Sánchez, M Ali. 2011
Guest editorial: special issue on “Intelligent Systems, Design and Applications (ISDA’2009)” JM Benítez, S Senatore, A Abraham. 2011
On the Use of Distributed Genetic Algorithms for the Tuning of Fuzzy Rule Based-Systems I Robles, R Alcalá, J Benítez, F Herrera. 2010
Equivalences between neural-autoregressive time series models and fuzzy systems JL Aznarte, JM Benítez. 2010
Segmentation of cervical cell images using mean-shift filtering and morphological operators C Bergmeir, MG Silvente, JE López-Cuervo, JM Benítez. 2010
Linearity testing for fuzzy rule-based models JL Aznarte, MC Medeiros, JM Benítez. 2010
Testing for remaining autocorrelation of the residuals in the framework of fuzzy rule-based time series modelling JL Aznarte, MC Medeiros, JM Benitez. 2010
Trends in applied intelligent system N Garcaia-Pedrajas. 2010
Testing for heteroskedasticity of the residuals in fuzzy rule-based models JM Benítez. 2010
Special issue on Hybrid Fuzzy Models JM Benítez, S García, S Caballé, ÁA Juan. 2010
Special Issue on Advances in Intelligent Systems JM Benítez, V Loia, F Marcelloni. 2010
Evolutionary parallel and gradually distributed lateral tuning of fuzzy rule-based systems I Robles, R Alcalá, JM Benítez, F Herrera. 2009
Distributed Genetic Tuning of Fuzzy Rule-Based Systems. I Robles, R Alcalá, JM Benítez, F Herrera. 2009
Empirical study of individual feature evaluators and cutting criteria for feature selection in classification A Arauzo-Azofra, JM Benítez. 2009
Testing for serial independence of the residuals in the framework of Fuzzy rule-based time series modeling A Arauzo, JMB Sánchez. 2009
Artificial neural network-based equation for estimating VO2max from the 20 m shuttle run test in adolescents JR Ruiz, J Ramirez-Lechuga, FB Ortega, J Castro-Pinero, JM Benitez, .... 2008
Consistency measures for feature selection A Arauzo-Azofra, JM Benitez, JL Castro. 2008
Feature selection for time series forecasting: a case study RG Pajares, JM Benítez, GS Palmero. 2008
Empirical study of feature selection methods in classification A Araúzo-Azofra, JM Benítez. 2008
Eighth International Conference on Hybrid Intelligent Systems F Xhafa, F Herrera, A Abraham, M Köppen, JM Bénitez. 2008
Use of Artificial Neural Network-based Equation for estimating VO2max in adolescents: 1376: Board# 115 May 28 11: 00 AM-12: 30 PM J Ramírez-Lechuga, JR Ruiz, FB Ortega, JM Benitez, A Arauzo-Azofra, .... 2008
Artificial neural JR Ruiz, J Ramirez-Lechuga, FB Ortega, J Castro-Pinero, JM Benitez, .... 2008
Metodología multidisciplinar para el análisis de la salud, calidad de vida y predicción de la dependencia de personas adultas y mayores desde la perspectiva de la motricidad PÁL Román, VM Soto, M Delgado, P Tercedor, AB Fernández, E Castro, .... 2008
Forecasting airborne pollen concentration time series with neural and neuro-fuzzy models JMB Sánchez, DN Lugilde, C de Linares Fernández, CD de la Guardia, .... 2007
Smooth transition autoregressive models and fuzzy rule-based systems: Functional equivalence and consequences JM Benítez, JL Castro. 2007
On the identifiability of TSK additive fuzzy rule-based models JM Benítez. 2006
Fuzzy pairwise multiclass support vector machines JM Puche, JM Benítez, JL Castro, CJ Mantas. 2006
Building Fuzzy Classifiers with Pairwise Multiclass Support Vector Machines JM Benıtez, JL Castro, JM Puche. 2005
SAETA: Una herramienta informática para el aprendizaje y la enseñanza de Teoría de Algoritmos AB Jiménez, JM Benítez, JMF Luna, JM García, M García, M Gómez, .... 2005
A feature set measure based on relief A Arauzo-Azofra, JM Benitez, JL Castro. 2004
Fluorescence optosensor using an artificial neural network for screening of polycyclic aromatic hydrocarbons JF Fernández-Sánchez, AS Carretero, JM Benıtez-Sánchez, .... 2004
Fuzzy control of HVAC systems optimized by genetic algorithms R Alcalá, JM Benítez, J Casillas, O Cordón, R Pérez. 2003
Multicriteria Genetic Tuning for the Optimization and Control of HVAC Systems R Alcala, JM Benitez, J Castillas, JL Castro, O Cordon, A Gonzales, .... 2003
C-focus: A continuous extension of focus A Arauzo, JM Benitez, JL Castro. 2003
Interpretation of artificial neural networks by means of fuzzy rules JL Castro, CJ Mantas, JM Benítez. 2002
A neuro-fuzzy approach for feature selection JM Benitez, JL Castro, CJ Mantas, F Rojas. 2001
Neural networks with a continuous squashing function in the output are universal approximators JL Castro, CJ Mantas, JM Benıtez. 2000
New aspects on extraction of fuzzy rules using neural networks. JM Benítez, A Blanco, M Delgado, I Requena. 1998
New aspects on extraction of fuzzy rules using neural networks JM Benítez Sánchez, A Blanco Morón, M Delgado Calvo-Flores, .... 1998
Are artificial neural networks black boxes? JM Benítez, JL Castro, I Requena. 1997
A DISTRIBUTED FUZZY RULE EXTRACTION METHOD JM BENÍTEZ, JL CASTRO, I REQUENA. 1997
Neural methods for obtaining fuzzy rules JM Benítez Sánchez, A Blanco Morón, M Delgado Calvo-Flores, .... 1996
Translation of artificial neural networks into fuzzy additive systems JM Benıtez, JL Castro, I Requena. 1996
An empirical procedure to obtain fuzzy rules using neural networkss JM Benitez. 1995
Asynchonously parallel Boltzmann Machines mapped onto distributed-memory multiprocessors JM Benitez, J Ortega, I Requena. 1995

Descargando datos de la publicación

Scroll Up