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ORCIDJosé Manuel Benítez
José Manuel Benítez Sánchez
Person information
- affiliation: University of Granada, Department of Computer Science and Artificial Intelligence
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2020 – today
- 2024
[j65]Luis Balderas
, Miguel Lastra, José Manuel Benítez:
Optimizing dense feed-forward neural networks. Neural Networks 171: 229-241 (2024)- [i11]Luis Balderas, Miguel Lastra, José Manuel Benítez:
Optimizing Convolutional Neural Network Architecture. CoRR abs/2401.01361 (2024) - [i10]Juan Soto, Ramón Carmenaty, Miguel Lastra, Juan M. Fernández-Luna, José Manuel Benítez:
Sports center customer segmentation: a case study. CoRR abs/2405.17467 (2024) - 2023
- [j64]Francisco Javier Baldan, José Manuel Benítez:
Complexity measures and features for times series classification. Expert Syst. Appl. 213(Part): 119227 (2023) - [i9]Luis Balderas, Miguel Lastra, José Manuel Benítez:
Optimizing Dense Feed-Forward Neural Networks. CoRR abs/2312.10560 (2023) - [i8]Luis Balderas, Miguel Lastra, José Manuel Benítez:
Can persistent homology whiten Transformer-based black-box models? A case study on BERT compression. CoRR abs/2312.10702 (2023) - 2022
- [j63]Manuel Parra-Royon, Ghislain Atemezing, José Manuel Benítez:
Semantics of Data Mining Services in Cloud Computing. IEEE Trans. Serv. Comput. 15(2): 945-955 (2022) - [c26]Luis Balderas, Miguel Lastra, Antonio J. Láinez-Ramos-Bossini, José Manuel Benítez:
COVID-ViT: COVID-19 Detection Method Based on Vision Transformers. ISDA (3) 2022: 81-90 - [i7]Manuel Parra-Royon, Francisco Javier Baldan, Ghislain Atemezing, José Manuel Benítez:
Semantic of Cloud Computing services for Time Series workflows. CoRR abs/2202.00609 (2022) - 2021
- [j62]Francisco Javier Baldan, Daniel Peralta, Yvan Saeys, José Manuel Benítez:
SCMFTS: Scalable and Distributed Complexity Measures and Features for Univariate and Multivariate Time Series in Big Data Environments. Int. J. Comput. Intell. Syst. 14(1): 186 (2021) - [j61]Francisco Javier Baldan, José Manuel Benítez:
Multivariate times series classification through an interpretable representation. Inf. Sci. 569: 596-614 (2021) - 2020
- [i6]F. Aragón-Royón, Alfonso Jiménez-Vílchez, Antonio Arauzo-Azofra, José Manuel Benítez:
FSinR: an exhaustive package for feature selection. CoRR abs/2002.10330 (2020) - [i5]Francisco Javier Baldan, José Manuel Benítez:
Complexity Measures and Features for Times Series classification. CoRR abs/2002.12036 (2020) - [i4]Francisco Javier Baldan, José Manuel Benítez:
Multivariable times series classification through an interpretable representation. CoRR abs/2009.03614 (2020)
2010 – 2019
- 2019
- [j60]Manuel Parra-Royon, José Manuel Benítez:
Fuzzy Systems-as-a-Service in Cloud Computing. Int. J. Comput. Intell. Syst. 12(2): 1162-1172 (2019) - [j59]Francisco Javier Baldan, José Manuel Benítez:
Distributed FastShapelet Transform: a Big Data time series classification algorithm. Inf. Sci. 496: 451-463 (2019) - [c25]Manuel Parra-Royon, José Manuel Benítez:
Delivering Data Mining Services in Cloud Computing. SERVICES 2019: 396-397 - 2018
- [j58]A. Sánchez-Fernandez, Gregorio Ismael Sainz Palmero, José Manuel Benítez, Maria J. Fuente:
Linguistic OWA and two time-windows based fault identification in wide plants. Comput. Chem. Eng. 115: 412-430 (2018) - [j57]Daniel Peralta, Isaac Triguero, Salvador García, Yvan Saeys, José Manuel Benítez, Francisco Herrera:
On the use of convolutional neural networks for robust classification of multiple fingerprint captures. Int. J. Intell. Syst. 33(1): 213-230 (2018) - [j56]Daniel Peralta, Christoph Bergmeir, Martin Krone, Marta Galende, Manuel Menéndez, Gregorio Ismael Sainz Palmero, Carlos Martínez Bertrand, Frank Klawonn, José Manuel Benítez:
Multiobjective Optimization for Railway Maintenance Plans. J. Comput. Civ. Eng. 32(3) (2018) - [j55]Mabel González Castellanos, Christoph Bergmeir, Isaac Triguero, Yanet Rodríguez, José Manuel Benítez:
Self-labeling techniques for semi-supervised time series classification: an empirical study. Knowl. Inf. Syst. 55(2): 493-528 (2018) - [j54]Sergio Ramírez-Gallego, Salvador García, José Manuel Benítez, Francisco Herrera:
A distributed evolutionary multivariate discretizer for Big Data processing on Apache Spark. Swarm Evol. Comput. 38: 240-250 (2018) - [j53]Francisco Javier Baldan, Sergio Ramírez-Gallego, Christoph Bergmeir, Francisco Herrera, José Manuel Benítez:
A Forecasting Methodology for Workload Forecasting in Cloud Systems. IEEE Trans. Cloud Comput. 6(4): 929-941 (2018) - [j52]Sergio Ramírez-Gallego, Héctor Mouriño-Talín, David Martínez-Rego, Verónica Bolón-Canedo, José Manuel Benítez, Amparo Alonso-Betanzos, Francisco Herrera:
An Information Theory-Based Feature Selection Framework for Big Data Under Apache Spark. IEEE Trans. Syst. Man Cybern. Syst. 48(9): 1441-1453 (2018) - [c24]Manuel Parra-Royon, José Manuel Benítez:
A Proposal for the Specification of Data Mining Services in Cloud Computing. CLOSER 2018: 541-548 - [i3]Manuel Parra-Royon, Ghislain Atemezing, José Manuel Benítez:
Data Mining definition services in Cloud Computing with Linked Data. CoRR abs/1806.06826 (2018) - 2017
- [j51]Sergio Ramírez-Gallego, Iago Lastra, David Martínez-Rego, Verónica Bolón-Canedo, José Manuel Benítez, Francisco Herrera, Amparo Alonso-Betanzos:
Fast-mRMR: Fast Minimum Redundancy Maximum Relevance Algorithm for High-Dimensional Big Data. Int. J. Intell. Syst. 32(2): 134-152 (2017) - [j50]Daniel Peralta, Salvador García, José Manuel Benítez, Francisco Herrera:
Minutiae-based fingerprint matching decomposition: Methodology for big data frameworks. Inf. Sci. 408: 198-212 (2017) - [j49]Daniel Peralta, Isaac Triguero, Salvador García, Yvan Saeys, José Manuel Benítez, Francisco Herrera:
Distributed incremental fingerprint identification with reduced database penetration rate using a hierarchical classification based on feature fusion and selection. Knowl. Based Syst. 126: 91-103 (2017) - [j48]Pablo David Gutiérrez, Miguel Lastra, José Manuel Benítez, Francisco Herrera:
SMOTE-GPU: Big Data preprocessing on commodity hardware for imbalanced classification. Prog. Artif. Intell. 6(4): 347-354 (2017) - [j47]Sergio Ramírez-Gallego, Bartosz Krawczyk, Salvador García, Michal Wozniak, José Manuel Benítez, Francisco Herrera:
Nearest Neighbor Classification for High-Speed Big Data Streams Using Spark. IEEE Trans. Syst. Man Cybern. Syst. 47(10): 2727-2739 (2017) - [i2]Daniel Peralta, Isaac Triguero, Salvador García, Yvan Saeys, José Manuel Benítez, Francisco Herrera:
Fingerprint classification with a new deep neural network model: robustness for different captures of the same fingerprints. CoRR abs/1703.07270 (2017) - 2016
- [j46]Daniel Peralta, Isaac Triguero, Salvador García, Francisco Herrera, José Manuel Benítez:
DPD-DFF: A dual phase distributed scheme with double fingerprint fusion for fast and accurate identification in large databases. Inf. Fusion 32: 40-51 (2016) - [j45]Mabel González Castellanos, Christoph Bergmeir, Isaac Triguero, Yanet Rodríguez, José Manuel Benítez:
On the stopping criteria for k-Nearest Neighbor in positive unlabeled time series classification problems. Inf. Sci. 328: 42-59 (2016) - [j44]Pablo David Gutiérrez, Miguel Lastra, Jaume Bacardit, José Manuel Benítez, Francisco Herrera:
GPU-SME-kNN: Scalable and memory efficient kNN and lazy learning using GPUs. Inf. Sci. 373: 165-182 (2016) - [j43]Sergio Ramírez-Gallego, Salvador García, José Manuel Benítez, Francisco Herrera:
Multivariate Discretization Based on Evolutionary Cut Points Selection for Classification. IEEE Trans. Cybern. 46(3): 595-608 (2016) - [j42]Sergio Ramírez-Gallego, Salvador García, Héctor Mouriño-Talín, David Martínez-Rego, Verónica Bolón-Canedo, Amparo Alonso-Betanzos, José Manuel Benítez, Francisco Herrera:
Data discretization: taxonomy and big data challenge. WIREs Data Mining Knowl. Discov. 6(1): 5-21 (2016) - [c23]Francisco Barrientos, Gregorio I. Sainz, Alberto Moral, Manuel Parra, José Manuel Benítez, Jorge Rodríguez, Carlos Martínez Bertrand, Francisco Campo, Rubén Carnerero:
Open Calculator for Environmental and Social Footprints of Rail Infrastructures. EnviroInfo (1) 2016: 237-249 - [i1]Sergio Ramírez-Gallego, Héctor Mouriño-Talín, David Martínez-Rego, Verónica Bolón-Canedo, José Manuel Benítez, Amparo Alonso-Betanzos, Francisco Herrera:
An Information Theoretic Feature Selection Framework for Big Data under Apache Spark. CoRR abs/1610.04154 (2016) - 2015
- [j41]Victoria López, Sara del Río, José Manuel Benítez, Francisco Herrera:
Cost-sensitive linguistic fuzzy rule based classification systems under the MapReduce framework for imbalanced big data. Fuzzy Sets Syst. 258: 5-38 (2015) - [j40]Sara del Río, Victoria López, José Manuel Benítez, Francisco Herrera:
A MapReduce Approach to Address Big Data Classification Problems Based on the Fusion of Linguistic Fuzzy Rules. Int. J. Comput. Intell. Syst. 8(3): 422-437 (2015) - [j39]Miguel Lastra, Daniel Molina, José Manuel Benítez:
A high performance memetic algorithm for extremely high-dimensional problems. Inf. Sci. 293: 35-58 (2015) - [j38]Miguel Lastra, Jesús Carabaño, Pablo David Gutiérrez, José Manuel Benítez, Francisco Herrera:
Fast fingerprint identification using GPUs. Inf. Sci. 301: 195-214 (2015) - [j37]Daniel Peralta, Mikel Galar, Isaac Triguero, Daniel Paternain, Salvador García, Edurne Barrenechea, José Manuel Benítez, Humberto Bustince, Francisco Herrera:
A survey on fingerprint minutiae-based local matching for verification and identification: Taxonomy and experimental evaluation. Inf. Sci. 315: 67-87 (2015) - [j36]Mikel Galar, Joaquín Derrac, Daniel Peralta, Isaac Triguero, Daniel Paternain, Carlos Lopez-Molina, Salvador García, José Manuel Benítez, Miguel Pagola, Edurne Barrenechea Tartas, Humberto Bustince Sola, Francisco Herrera:
A survey of fingerprint classification Part I: Taxonomies on feature extraction methods and learning models. Knowl. Based Syst. 81: 76-97 (2015) - [j35]Mikel Galar, Joaquín Derrac, Daniel Peralta, Isaac Triguero, Daniel Paternain, Carlos Lopez-Molina, Salvador García, José Manuel Benítez, Miguel Pagola, Edurne Barrenechea Tartas, Humberto Bustince Sola, Francisco Herrera:
A survey of fingerprint classification Part II: Experimental analysis and ensemble proposal. Knowl. Based Syst. 81: 98-116 (2015) - [j34]Isaac Triguero, Sara del Río, Victoria López, Jaume Bacardit, José Manuel Benítez, Francisco Herrera:
ROSEFW-RF: The winner algorithm for the ECBDL'14 big data competition: An extremely imbalanced big data bioinformatics problem. Knowl. Based Syst. 87: 69-79 (2015) - [c22]Sergio Ramírez-Gallego, Salvador García, José Manuel Benítez, Francisco Herrera:
A Wrapper Evolutionary Approach for Supervised Multivariate Discretization: A Case Study on Decision Trees. CORES 2015: 47-58 - [c21]Sara del Río, José Manuel Benítez, Francisco Herrera:
Analysis of Data Preprocessing Increasing the Oversampling Ratio for Extremely Imbalanced Big Data Classification. TrustCom/BigDataSE/ISPA (2) 2015: 180-185 - 2014
- [j33]Christoph Bergmeir, Mauro Costantini, José Manuel Benítez:
On the usefulness of cross-validation for directional forecast evaluation. Comput. Stat. Data Anal. 76: 132-143 (2014) - [j32]Daniel Peralta, Mikel Galar, Isaac Triguero, Oscar Miguel-Hurtado, José Manuel Benítez, Francisco Herrera:
Minutiae filtering to improve both efficacy and efficiency of fingerprint matching algorithms. Eng. Appl. Artif. Intell. 32: 37-53 (2014) - [j31]Alberto Fernández, Daniel Peralta, José Manuel Benítez, Francisco Herrera:
E-learning and educational data mining in cloud computing: an overview. Int. J. Learn. Technol. 9(1): 25-52 (2014) - [j30]Emilio Corchado, Ajith Abraham, Pedro Antonio Gutiérrez, José Manuel Benítez, Sebastián Ventura:
Special issue: Advances in learning schemes for function approximation. Neurocomputing 135: 1-2 (2014) - [j29]Verónica Bolón-Canedo, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos, José Manuel Benítez, Francisco Herrera:
A review of microarray datasets and applied feature selection methods. Inf. Sci. 282: 111-135 (2014) - [j28]Sara del Río, Victoria López, José Manuel Benítez, Francisco Herrera:
On the use of MapReduce for imbalanced big data using Random Forest. Inf. Sci. 285: 112-137 (2014) - [j27]Lala Septem Riza, Andrzej Janusz, Christoph Bergmeir, Chris Cornelis, Francisco Herrera, Dominik Slezak, José Manuel Benítez:
Implementing algorithms of rough set theory and fuzzy rough set theory in the R package "RoughSets". Inf. Sci. 287: 68-89 (2014) - [j26]Daniel Peralta, Isaac Triguero, Raul Sánchez-Reillo, Francisco Herrera, José Manuel Benítez:
Fast fingerprint identification for large databases. Pattern Recognit. 47(2): 588-602 (2014) - [j25]Pablo David Gutiérrez, Miguel Lastra, Francisco Herrera, José Manuel Benítez:
A High Performance Fingerprint Matching System for Large Databases Based on GPU. IEEE Trans. Inf. Forensics Secur. 9(1): 62-71 (2014) - [j24]Alberto Fernández, Sara del Río, Victoria López, Abdullah Bawakid, María José del Jesus, José Manuel Benítez, Francisco Herrera:
Big Data with Cloud Computing: an insight on the computing environment, MapReduce, and programming frameworks. WIREs Data Mining Knowl. Discov. 4(5): 380-409 (2014) - [c20]Victoria López, Sara del Río, José Manuel Benítez, Francisco Herrera:
On the use of MapReduce to build linguistic fuzzy rule based classification systems for big data. FUZZ-IEEE 2014: 1905-1912 - [c19]Lala Septem Riza, Christoph Bergmeir, Francisco Herrera, José Manuel Benítez:
Learning from data using the R package "FRBS". FUZZ-IEEE 2014: 2149-2155 - 2013
- [j23]Rubén García Pajares, José Manuel Benítez, Gregorio Ismael Sainz Palmero:
FRASel: a consensus of feature ranking methods for time series modelling. Soft Comput. 17(8): 1489-1510 (2013) - [c18]Christoph Bergmeir, Gregorio Ismael Sainz Palmero, Carlos Martínez Bertrand, José Manuel Benítez:
A Study on the Use of Machine Learning Methods for Incidence Prediction in High-Speed Train Tracks. IEA/AIE 2013: 674-683 - [p2]José Luis Aznarte, José Manuel Benítez:
The Links between Statistical and Fuzzy Models for Time Series Analysis and Forecasting. Time Series Analysis, Modeling and Applications 2013: 1-30 - 2012
- [j22]Christoph Bergmeir, Miguel García-Silvente, José Manuel Benítez:
Segmentation of cervical cell nuclei in high-resolution microscopic images: A new algorithm and a web-based software framework. Comput. Methods Programs Biomed. 107(3): 497-512 (2012) - [j21]José Luis Aznarte, Jesús Alcalá-Fdez, Antonio Arauzo-Azofra, José Manuel Benítez:
Financial time series forecasting with a bio-inspired fuzzy model. Expert Syst. Appl. 39(16): 12302-12309 (2012) - [j20]Christoph Bergmeir, José Manuel Benítez:
On the use of cross-validation for time series predictor evaluation. Inf. Sci. 191: 192-213 (2012) - [j19]José Manuel Benítez, Nicolás García-Pedrajas, Francisco Herrera:
Special issue on "New Trends in Data Mining" NTDM. Knowl. Based Syst. 25(1): 1-2 (2012) - [j18]Christoph Bergmeir, Isaac Triguero, Daniel Molina, José Luis Aznarte, José Manuel Benítez:
Time Series Modeling and Forecasting Using Memetic Algorithms for Regime-Switching Models. IEEE Trans. Neural Networks Learn. Syst. 23(11): 1841-1847 (2012) - [c17]Christoph Bergmeir, Isaac Triguero, Francisco Velasco, José Manuel Benítez:
Optimization of Neuro-Coefficient Smooth Transition Autoregressive Models Using Differential Evolution. HAIS (1) 2012: 464-473 - [c16]Alberto Fernández, Sara del Río, Francisco Herrera, José Manuel Benítez:
An Overview on the Structure and Applications for Business Intelligence and Data Mining in Cloud Computing. KMO 2012: 559-570 - 2011
- [j17]José Luis Aznarte, Daniel Molina, Ana M. Sánchez, José Manuel Benítez:
A test for the homoscedasticity of the residuals in fuzzy rule-based forecasters. Appl. Intell. 34(3): 386-393 (2011) - [j16]Antonio Arauzo-Azofra, José Luis Aznarte, José Manuel Benítez:
Empirical study of feature selection methods based on individual feature evaluation for classification problems. Expert Syst. Appl. 38(7): 8170-8177 (2011) - [j15]José Manuel Benítez, Sabrina Senatore, Ajith Abraham:
Guest editorial: special issue on "Intelligent Systems, Design and Applications (ISDA'2009)". Soft Comput. 15(10): 1879-1880 (2011) - [c15]Christoph Bergmeir, José Manuel Benítez:
Forecaster performance evaluation with cross-validation and variants. ISDA 2011: 849-854 - [e5]Sebastián Ventura, Ajith Abraham, Krzysztof J. Cios, Cristóbal Romero, Francesco Marcelloni, José Manuel Benítez, Eva Lucrecia Gibaja Galindo:
11th International Conference on Intelligent Systems Design and Applications, ISDA 2011, Córdoba, Spain, November 22-24, 2011. IEEE 2011, ISBN 978-1-4577-1676-8 [contents] - 2010
- [j14]José Luis Aznarte, Marcelo C. Medeiros, José Manuel Benítez:
Linearity testing for fuzzy rule-based models. Fuzzy Sets Syst. 161(13): 1836-1851 (2010) - [j13]José Manuel Benítez, Salvador García, Santi Caballé, Angel A. Juan:
Special issue on Hybrid Fuzzy Models. Int. J. Hybrid Intell. Syst. 7(1): 1 (2010) - [j12]José Manuel Benítez, Vincenzo Loia, Francesco Marcelloni:
Special Issue on Advances in Intelligent Systems. Int. J. Hybrid Intell. Syst. 7(4): 237 (2010) - [j11]José Luis Aznarte, Marcelo C. Medeiros, José Manuel Benítez:
Testing for Remaining Autocorrelation of the residuals in the Framework of Fuzzy Rule-Based Time Series Modelling. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 18(4): 371-387 (2010) - [j10]José Luis Aznarte, José Manuel Benítez:
Equivalences between neural-autoregressive time series models and fuzzy systems. IEEE Trans. Neural Networks 21(9): 1434-1444 (2010) - [c14]José Luis Aznarte, José Manuel Benítez:
Testing for Heteroskedasticity of the Residuals in Fuzzy Rule-Based Models. IEA/AIE (2) 2010: 239-246 - [c13]Christoph Bergmeir, Miguel García-Silvente, J. Esquivias López-Cuervo, José Manuel Benítez:
Segmentation of cervical cell images using mean-shift filtering and morphological operators. Medical Imaging: Image Processing 2010: 76234C - [p1]Ignacio Robles, Rafael Alcalá, José Manuel Benítez, Francisco Herrera:
On the Use of Distributed Genetic Algorithms for the Tuning of Fuzzy Rule Based-Systems. Parallel and Distributed Computational Intelligence 2010: 235-261 - [e4]Nicolás García-Pedrajas, Francisco Herrera, Colin Fyfe, José Manuel Benítez, Moonis Ali:
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. Lecture Notes in Computer Science 6096, Springer 2010, ISBN 978-3-642-13021-2 [contents] - [e3]Nicolás García-Pedrajas, Francisco Herrera, Colin Fyfe, José Manuel Benítez, Moonis Ali:
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 II. Lecture Notes in Computer Science 6097, Springer 2010, ISBN 978-3-642-13024-3 [contents] - [e2]Nicolás García-Pedrajas, Francisco Herrera, Colin Fyfe, José Manuel Benítez, Moonis Ali:
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 III. Lecture Notes in Computer Science 6098, Springer 2010, ISBN 978-3-642-13032-8 [contents]
2000 – 2009
- 2009
- [j9]Ignacio Robles, Rafael Alcalá, José Manuel Benítez, Francisco Herrera:
Evolutionary parallel and gradually distributed lateral tuning of fuzzy rule-based systems. Evol. Intell. 2(1-2): 5-19 (2009) - [c12]Ignacio Robles, Rafael Alcalá, José Manuel Benítez, Francisco Herrera:
Distributed Genetic Tuning of Fuzzy Rule-Based Systems. IFSA/EUSFLAT Conf. 2009: 1740-1744 - [c11]Antonio Arauzo-Azofra, José Luis Aznarte-Mellado, José Manuel Benítez:
Empirical Study of Individual Feature Evaluators and Cutting Criteria for Feature Selection in Classification. ISDA 2009: 541-546 - [c10]José Luis Aznarte-Mellado, Antonio Arauzo, José Manuel Benítez Sánchez:
Testing for Serial Independence of the Residuals in the Framework of Fuzzy Rule-Based Time Series Modeling. ISDA 2009: 1383-1387 - 2008
- [j8]Jonatan R. Ruiz, Jorge Ramirez-Lechuga, Francisco B. Ortega, José Castro-Piñero, José Manuel Benítez, Antonio Arauzo-Azofra, Cristobal Sanchez, Michael Sjöström, Manuel J. Castillo, Ángel Gutiérrez, Mikel Zabala:
Artificial neural network-based equation for estimating VO2max from the 20 m shuttle run test in adolescents. Artif. Intell. Medicine 44(3): 233-245 (2008) - [j7]Antonio Arauzo-Azofra, José Manuel Benítez, Juan Luis Castro:
Consistency measures for feature selection. J. Intell. Inf. Syst. 30(3): 273-292 (2008) - [c9]Rubén García Pajares, José Manuel Benítez, Gregorio Ismael Sainz Palmero:
Feature Selection for Time Series Forecasting: A Case Study. HIS 2008: 555-560 - [c8]Antonio Arauzo-Azofra, José Manuel Benítez:
Empirical Study of Feature Selection Methods in Classification. HIS 2008: 584-589 - [e1]Fatos Xhafa, Francisco Herrera, Ajith Abraham, Mario Köppen, José Manuel Benítez:
8th International Conference on Hybrid Intelligent Systems (HIS 2008), September 10-12, 2008, Barcelona, Spain. IEEE Computer Society 2008, ISBN 978-0-7695-3326-1 [contents] - 2007
- [j6]José Luis Aznarte, José Manuel Benítez Sánchez, Diego Nieto Lugilde, Concepción de Linares Fernández, Consuelo Díaz de la Guardia, Francisca Alba Sánchez:
Forecasting airborne pollen concentration time series with neural and neuro-fuzzy models. Expert Syst. Appl. 32(4): 1218-1225 (2007) - [j5]José Luis Aznarte, José Manuel Benítez, Juan Luis Castro:
Smooth transition autoregressive models and fuzzy rule-based systems: Functional equivalence and consequences. Fuzzy Sets Syst. 158(24): 2734-2745 (2007) - 2006
- [c7]José Manuel Puche, José Manuel Benítez, Juan Luis Castro, Carlos Javier Mantas:
Fuzzy Pairwise Multiclass Support Vector Machines. MICAI 2006: 562-571 - [c6]José Luis Aznarte, José Manuel Benítez:
On the Identifiability of TSK Additive Fuzzy Rule-Based Models. SMPS 2006: 79-86 - 2005
- [c5]José Luis Aznarte, Diego Nieto Lugilde, José Manuel Benítez, Concepción de Linares Fernández:
Neuro-Fuzzy prediction of airborne pollen concentrations. EUSFLAT Conf. 2005: 1325-1330 - [c4]José Manuel Benítez, Juan Luis Castro, José Manuel Puche:
Building Fuzzy Classifiers with Pairwise Multiclass Support Vector Machines. EUSFLAT Conf. 2005: 1331-1336 - 2003
- [j4]Rafael Alcalá, José Manuel Benítez, Jorge Casillas, Oscar Cordón, Raúl Pérez:
Fuzzy Control of HVAC Systems Optimized by Genetic Algorithms. Appl. Intell. 18(2): 155-177 (2003) - 2002
- [j3]Juan Luis Castro, Carlos Javier Mantas, José Manuel Benítez:
Interpretation of artificial neural networks by means of fuzzy rules. IEEE Trans. Neural Networks 13(1): 101-116 (2002) - 2000
- [j2]Juan Luis Castro, Carlos Javier Mantas, José Manuel Benítez:
Neural networks with a continuous squashing function in the output are universal approximators. Neural Networks 13(6): 561-563 (2000)
1990 – 1999
- 1999
- [c3]José María Fernández Garrido, José Manuel Benítez Sánchez, Ignacio Requena:
Una metodología de construcción de sistemas de clasificación basados en reglas difusas. EUSFLAT-ESTYLF Joint Conf. 1999: 183-186 - [c2]José Manuel Benítez, Juan Luis Castro, Carlos Javier Mantas:
A link-pruning algorithm for neural networks. EUSFLAT-ESTYLF Joint Conf. 1999: 473-476 - 1997
- [j1]José Manuel Benítez, Juan Luis Castro, Ignacio Requena:
Are artificial neural networks black boxes? IEEE Trans. Neural Networks 8(5): 1156-1164 (1997) - 1995
- [c1]José Manuel Benítez Sánchez, Julio Ortega, Ignacio Requena:
Asynchronously Parallel Boltzmann Machines Mapped onto Distributed-Memory Multiprocessors. IWANN 1995: 744-751
Coauthor Index
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