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Papers published in Journals (J.M. Benítez)

Number of Results: 57

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In Press (3)


2018 (3)


2017 (4)


2016 (6)


2015 (9)


2014 (9)


2013 (1)

  • [1561] R. García, J.M. Benítez, G.I. Sainz-Palmero. FRASel: A Consensus of feature ranking methods for time series modelling. Soft Computing, Volume 17, Issue 8, pp 1489-1510.


2012 (5)

  • [1438] C. Bergmeir, J.M. Benítez. Neural Networks in R Using the Stuttgart Neural Network Simulator: RSNNS. Journal of Statistical Software 46(7) (2012) 1-26.
  • [1464] C. Bergmeir, M. García-Silvente, J.M. 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) (2012) 497-512.
  • [1472] C. Bergmeir, J.M. Benítez. On the Use of Cross-validation for Time Series Predictor Evaluation. Information Sciences 191 (2012) 192-213.
  • [1506] J.L. Aznarte M., J. Alcalá-Fdez, A. Arauzo, J.M. Benítez. Financial Time Series Forecasting with a Bio-inspired Fuzzy Model. Expert Systems with Applications 39:16 (2012) 12302–12309. doi: 10.1016/j.eswa.2012.02.135 PDF Icon
  • [1550] C. Bergmeir, I. Triguero, D. Molina, J.L. Aznarte M., J.M. Benítez. Time Series Modeling and Forecasting Using Memetic Algorithms for Regime-switching Models. IEEE Transactions on Neural Networks and Learning Systems (2012), volume 23, issue 11, pages 1841-1847. doi: 10.1109/TNNLS.2012.2216898 PDF Icon


2011 (3)


2010 (3)

  • [1193] J.L. Aznarte M., M.C. Medeiros, J.M. Benítez. Linearity testing against a fuzzy rule-based model. Fuzzy Sets and Systems Volume 161, Issue 13, 1 July 2010, Pages 1836-1851. doi: 10.1016/j.fss.2010.01.00 PDF Icon
  • [1288] J.L. Aznarte M., Marcelo C. Medeiros, J.M. 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), pp. 371-387. doi: 10.1142/S021848851000660X PDF Icon
  • [1289] J.L. Aznarte M., J.M. Benítez. Equivalences between neural-autoregressive time series models and fuzzy systems. IEEE Transactions on Neural Networks, Vol. 21, No. 9 (2010), 1434-1445. doi: 10.1109/TNN.2010.2060209 PDF Icon


2009 (1)


2008 (2)

  • [0824] A. Araúzo, J.M. Benítez, J.L. Castro. Consistency measures for feature selection. Journal of Intelligent Information Systems 30:3 (2008) 273-292. doi: 10.1007/s10844-007-0037-0 PDF Icon
  • [0971] J.R. Ruiz, J. Ramirez-Lechuga, F.B. Ortega, J.Castro-Piñero, J.M. Benítez, A. Arauzo-Azofra, C. Sanchez, M. Sjöström, M.J. Castillo, A. Gutierrez, M. Zabala. Artificial neural network-based equation for estimating VO2max from the 20 m shuttle run test in adolescents. Artificial Intelligence in Medicine 44:3 (2008) 233-245. doi: 10.1016/j.artmed.2008.06.004 PDF Icon


2007 (2)

  • [0823] J.L. Aznarte, D. Nieto Lugilde, J.M. Benítez, F. Alba Sánchez, C. de Linares Fernández. Forecasting airborne pollen concentration time series with neural and neuro-fuzzy models. Expert Systems with Applications 32 (2007) 1218-1225. doi: 10.1016/j.eswa.2006.02.011 PDF Icon
  • [0822] J.L. Aznarte, J.M. Benítez, J.L. Castro. Smooth Transition Autoregressive Models and Fuzzy Rule-based Systems: Functional Equivalence and Consequences. Fuzzy Sets and Systems 158 (2007) 2734-2745. doi: 10.1016/j.fss.2007.03.021 PDF Icon


2003 (1)


2002 (1)

  • [0821] J.L. Castro, C.J. Mantas, J.M. Benítez. Interpretation of Artificial Neural Networks by means of Fuzzy Rules. IEEE Transactions on Neural Networks 13:1 (2002) 101-116. doi: 10.1109/72.977279 PDF Icon


2000 (1)


1998 (1)

  • [0819] J.M. Benítez, A. Blanco, M. Delgado, I. Requena. New Aspects on Extraction of Fuzzy Rules using Neural Networks. Mathware & Soft Computing 5 (1998) 333-343. PDF Icon


1997 (1)


1996 (1)

  • [0817] J.M. Benítez, A. Blanco, M. Delgado, I. Requena. Neural Methods for Obtaining Fuzzy Rules. Mathware & Soft Computing 3 (1996) 371-382. PDF Icon