José Manuel Benítez

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. Computer Methods and Programs in Biomedicine 107(3): 497-512 (2012)

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)

Christoph Bergmeir, José Manuel Benítez: On the use of cross-validation for time series predictor evaluation. Inf. Sci. 191: 192-213 (2012)

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)

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 Netw. Learning Syst. 23(11): 1841-1847 (2012)

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

A. Fernández, S. del Río, F. Herrera, José Manuel Benítez: An Overview on the Structure and Applications for Business Intelligence and Data Mining in Cloud Computing. KMO 2012: 559-570

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)

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)

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)

Christoph Bergmeir, José Manuel Benítez: Forecaster performance evaluation with cross-validation and variants. ISDA 2011: 849-854

Sebastián Ventura, Ajith Abraham, Krzysztof J. Cios, Cristóbal Romero, Francesco Marcelloni, José Manuel Benítez, Eva Lucrecia Gibaja Galindo (Eds.): 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

José Luis Aznarte, Marcelo C. Medeiros, José Manuel Benítez: Linearity testing for fuzzy rule-based models. Fuzzy Sets and Systems 161(13): 1836-1851 (2010)

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)

José Manuel Benítez, Vincenzo Loia, Francesco Marcelloni: Special Issue on Advances in Intelligent Systems. Int. J. Hybrid Intell. Syst. 7(4): 237 (2010)

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. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 18(4): 371-387 (2010)

José Luis Aznarte, José Manuel Benítez: Equivalences between neural-autoregressive time series models and fuzzy systems. IEEE Transactions on Neural Networks 21(9): 1434-1444 (2010)

José Luis Aznarte, José Manuel Benítez: Testing for Heteroskedasticity of the Residuals in Fuzzy Rule-Based Models. IEA/AIE (2) 2010: 239-246

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

Nicolás García-Pedrajas, Francisco Herrera, Colin Fyfe, José Manuel Benítez, Moonis Ali (Eds.): 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

Nicolás García-Pedrajas, Francisco Herrera, Colin Fyfe, José Manuel Benítez, Moonis Ali (Eds.): 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

Nicolás García-Pedrajas, Francisco Herrera, Colin Fyfe, José Manuel Benítez, Moonis Ali (Eds.): 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

Ignacio Robles, Rafael Alcalá, José Manuel Benítez, Francisco Herrera: Evolutionary parallel and gradually distributed lateral tuning of fuzzy rule-based systems. Evolutionary Intelligence 2(1-2): 5-19 (2009)

Ignacio Robles, Rafael Alcalá, José Manuel Benítez, Francisco Herrera: Distributed Genetic Tuning of Fuzzy Rule-Based Systems. IFSA/EUSFLAT Conf. 2009: 1740-1744

Antonio Arauzo-Azofra, Jose L. Aznarte M., José Manuel Benítez: Empirical Study of Individual Feature Evaluators and Cutting Criteria for Feature Selection in Classification. ISDA 2009: 541-546

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 VO_2max from the 20 m shuttle run test in adolescents. Artificial Intelligence in Medicine 44(3): 233-245 (2008)

Antonio Arauzo-Azofra, José Manuel Benítez, Juan Luis Castro: Consistency measures for feature selection. J. Intell. Inf. Syst. 30(3): 273-292 (2008)

Rubén García Pajares, José Manuel Benítez, Gregorio Ismael Sainz Palmero: Feature Selection for Time Series Forecasting: A Case Study. HIS 2008: 555-560

Antonio Arauzo-Azofra, José Manuel Benítez: Empirical Study of Feature Selection Methods in Classification. HIS 2008: 584-589

Fatos Xhafa, Francisco Herrera, Ajith Abraham, Mario Köppen, José Manuel Benítez (Eds.): 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

José Luis Aznarte, José Manuel Benítez, Juan Luis Castro: Smooth transition autoregressive models and fuzzy rule-based systems: Functional equivalence and consequences. Fuzzy Sets and Systems 158(24): 2734-2745 (2007)

José Manuel Puche, José Manuel Benítez, Juan Luis Castro, Carlos Javier Mantas: Fuzzy Pairwise Multiclass Support Vector Machines. MICAI 2006: 562-571

José Luis Aznarte, José Manuel Benítez: On the Identifiability of TSK Additive Fuzzy Rule-Based Models. SMPS 2006: 79-86

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

José Manuel Benítez, Juan Luis Castro, José Manuel Puche: Building Fuzzy Classifiers with Pairwise Multiclass Support Vector Machines. EUSFLAT Conf. 2005: 1331-1336

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)

Juan Luis Castro, Carlos Javier Mantas, José Manuel Benítez: Interpretation of artificial neural networks by means of fuzzy rules. IEEE Transactions on Neural Networks 13(1): 101-116 (2002)

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)

José Manuel Benítez, Juan Luis Castro, Carlos Javier Mantas: A link-pruning algorithm for neural networks. EUSFLAT-ESTYLF Joint Conf. 1999: 473-476

José Manuel Benítez, Juan Luis Castro, Ignacio Requena: Are artificial neural networks black boxes? IEEE Trans. Neural Netw. Learning Syst. 8(5): 1156-1164 (1997)