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KEEL is a software tool to assess evolutionary algorithms for Data Mining problems of various kinds including regression, classification, unsupervised learning, etc.

 

               DiCITS Journal Publications

Number Of Publications: 23 Jump to Graph

Jump to Year: 2013 (2), 2012 (4), 2011 (3), 2010 (3), 2009 (1), 2008 (2), 2007 (2), 2004 (1), 2002 (1), 2000 (1), 1998 (1), 1997 (1), 1996 (1)

Bolita Year 2013 (2):

Bolita In Press:

Bolita[1627] Santos-Lozano A, Santín-Medeiros F, Cardon G, Torres-Luque G, Bailón R, C. Bergmeir, Ruiz JR, Lucia A, Garatachea N., The Actigraph GT3X Accelerometer: validation and determination of physical intensity cut points across age-groups.. Int J Sports Med. (2013), in press (2013).

Bolita[1561] R. García, J.M. Benítez, G.I. Sainz-Palmero, FRASel: A Consensus of feature ranking methods for time series modelling. Soft Computing, in press (2013).

Bolita Year 2012 (4):

Bolita[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. iconPdf.png

Bolita[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.

Bolita[1472] C. Bergmeir, J.M. Benítez, On the Use of Cross-validation for Time Series Predictor Evaluation. Information Sciences 191 (2012) 192-213.

Bolita[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.

Bolita Year 2011 (3):

Bolita[1437] A. Araúzo-Azofra, J.L. Aznarte M., J.M. Benítez, Empirical study of feature selection methods based on individual feature evaluation for classification problems. Expert Systems with Applications, 38:7 (2011), 8170--8177.

Bolita[1436] J.L. Aznarte M., D. Molina, A.M. Sánchez, J.M. Benítez, A test for the homoscedasticity of the residuals in fuzzy rule-based models. Applied Intelligence, 34:3 (2011), 386--393.

Bolita[1279] J.L. Aznarte M., J. Alcalá-Fdez, A. Arauzo, J.M. Benítez, Fuzzy autoregressive rules: Towards linguistic time series modeling. Econometric Reviews 30:6 (2011) 609–631, doi: 10.1080/07474938.2011.553569. iconPdf.png

Bolita Year 2010 (3):

Bolita[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. 10.1109/TNN.2010.2060209. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita Year 2009 (1):

Bolita[1079] I. Robles, R. Alcalá, J.M. Benítez, F. Herrera, Evolutionary Parallel and Gradually Distributed Lateral Tuning of Fuzzy Rule-Based Systems. Evolutionary Intelligence 2 (2009) 5-19, doi: 10.1007/s12065-009-0025-0. iconPdf.png

Bolita Year 2008 (2):

Bolita[0971] J.R. Ruiz, J. Ramirez-Lechuga, F.B. Ortega, J. Castro-Piñero, J.M. Ben�tez, 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. iconPdf.png

Bolita[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. iconPdf.png

Bolita Year 2007 (2):

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita Year 2004 (1):

Bolita[0959] J.F. Fernández-Sánchez, A. Segura, J.M. Ben�tez, C. Cruces-Blanco, A. Fernández-Gutiérrez, Fluorescence optosensor using an artificial neural network for screening of polycyclic aromatic hydrocarbons. Analytica Chimica Acta 510 (2004) 183–187, doi: 10.1016/j.aca.2004.01.012. iconPdf.png

Bolita Year 2002 (1):

Bolita[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. iconPdf.png

Bolita Year 2000 (1):

Bolita[0820] J.L. Castro, C.J. Mantas, J.M. Benítez, Neural Networks with a Continuous Increasing Squashing function in the output are Universal Approximators. Neural Networks 13:6 (2000) 561-563, doi:10.1016/S0893-6080(00)00031-9. iconPdf.png

Bolita Year 1998 (1):

Bolita[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. iconPdf.png

Bolita Year 1997 (1):

Bolita[0818] J.M. Benítez, J.L. Castro, I. Requena, Are Artificial Neural Networks Black Boxes?. IEEE Transactions on Neural Networks 8:5 (1997) 1156-1164, doi:10.1109/72.623216. iconPdf.png

Bolita Year 1996 (1):

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

 

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