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Browsing by Author Valls, José M.

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Issue DateTitleAuthor(s)Type
2003A better selection of patterns in lazy learning radial basis neural networksIsasi, Pedro; Valls, José M.; Galván, Inés M.conferenceObject; bookPart
2005A first attempt at constructing genetic programming expressions for EEG classificationEstébanez, César; Aler, Ricardo; Valls, José M.; Galván, Inés M.bookPart; conferenceObject
2009An experimental study on fitness distributions of tree shapes in GP with one-point crossoverEstébanez, César; Aler, Ricardo; Valls, José M.; Alonso, Pablo J.conferenceObject; bookPart
24-May-2012Applying evolution strategies to preprocessing EEG signals for brain–computer interfacesAler, Ricardo; Galván, Inés M.; Valls, José M.article
Apr-2001A selective learning method to improve the generalization of multilayer feedforward neural networks.Galván, Inés M.; Isasi, Pedro; Aler, Ricardo; Valls, José M.article
Sep-2005Correcting and improving imitation models of humans for Robosoccer agentsAler, Ricardo; García, Oscar; Valls, José M.bookPart; conferenceObject
2001Deferring the learning for better generalization in radial basis neural networksValls, José M.; Isasi, Pedro; Galván, Inés M.conferenceObject; bookPart
Jan-2007Evolving generalized euclidean distances for training RBNNValls, José M.; Aler, Ricardo; Fernández, Óscararticle
15-Feb-2012Evolving linear transformations with a rotation-angles/scaling representationEcheverría, Alejandro; Valls, José M.; Aler, Ricardoarticle
Jul-2010Evolving spatial and frequency selection filters for brain-computer interfacesAler, Ricardo; Galván, Inés M.; Valls, José M.bookPart; conferenceObject
Jul-2005Genetic programming based data projections for classification tasksEstébanez, César; Aler, Ricardo; Valls, José M.article; conferenceObject
2008GPPE: a method to generate ad-hoc feature extractors for prediction in financial domainsEstébanez, César; Valls, José M.; Aler, Ricardoarticle
Feb-2003How the selection of training patterns can improve the generalization capability in Radial Basis Neural NetworksValls, José M.; Galván, Inés M.; Isasi, Pedroarticle; conferenceObject; bookPart
14-Jan-2009Improving classification for brain computer interfaces using transitions and a moving windowAler, Ricardo; Galván, Inés M.; Valls, José M.bookPart; conferenceObject
May-2011A lazy learning approach for building classification modelsGalván, Inés M.; Valls, José M.; García, Miguel; Isasi, Pedroarticle
Nov-2004Lazy learning in radial basis neural networks: A way of achieving more accurate modelsValls, José M.; Galván, Inés M.; Isasi, Pedroarticle
2006Lazy training of radial basis neural networksValls, José M.; Galván, Inés M.; Isasi, PedroconferenceObject; bookPart
May-2008Learning radial basis neural networks in a lazy way: A comparative studyValls, José M.; Galván, Inés M.; Isasi, Pedroarticle
2007LRBNN: a Lazy Radial Basis Neural modelValls, José M.; Galván, Inés M.; Isasi, Pedroarticle
2010Optimization Algorithms for Large-Scale Real-World Instances of the Frequency Assignment ProblemLuna, Francisco; Estébanez, César; León, Coromoto; Chaves-González, José M.; Nebro, Antonio J.; Aler, Ricardo; Segura, Carlos; Vega-Rodríguez, Miguel A.; Alba, Enrique; Valls, José M.; Miranda, Gara; Gómez-Pulido, Juan A.article
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