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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(5)
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Energy-efficient reprogramming in WSN using constructive neural networks
ArticleAbstract: In this paper, we propose the use of neural network based technologies to carry out the dynamic reprPalabras claves:Constructive Neural Networks, Dynamic reprogramming, Feedforward neural networks, Wireless Sensor NetworksAutores:Aragonés J.M.J., Carmona E.C., Franco L., José Luis Subirats, Torres L.M.L., Urda D.Fuentes:scopusC-Mantec: A novel constructive neural network algorithm incorporating competition between neurons
ArticleAbstract: C-Mantec is a novel neural network constructive algorithm that combines competition between neuronsPalabras claves:Active learning, Constructive neural network, Feed-forward network, generalization, Incremental learning, OverfittingAutores:Franco L., Jerez-Aragonés J.M., José Luis SubiratsFuentes:scopusConstructive neural networks to predict breast cancer outcome by using gene expression profiles
Conference ObjectAbstract: Gene expression profiling strategies have attracted considerable interest from biologist due to thePalabras claves:artificial neural networks, Breast Cancer, Constructive Neural Networks, Gene expression profiles, Pbkp_redictive modellingAutores:Franco L., Jerez-Aragonés J.M., José Luis Subirats, Urda D.Fuentes:scopusA new constructive approach for creating all linearly separable (threshold) functions
Conference ObjectAbstract: A new constructive approach for creating all linearly separable functions is introduced. Balanced anPalabras claves:Autores:Anthony M., Franco L., Jerez-Aragonés J.M., José Luis SubiratsFuentes:scopusA new decomposition algorithm for threshold synthesis and generalization of Boolean functions
ArticleAbstract: A new algorithm for obtaining efficient architectures composed of threshold gates that implement arbPalabras claves:Circuit complexity, generalization, Linear separability, Logic synthesis, Threshold networksAutores:Franco L., Jerez-Aragonés J.M., José Luis SubiratsFuentes:scopusCombining feature engineering and feature selection to improve the prediction of methionine oxidation sites in proteins
ArticleAbstract: Methionine is a proteinogenic amino acid that can be post-translationally modified. It is now well ePalabras claves:Methionine oxidation, Pbkp_redictive computational model, post-translational modification, Protein pbkp_redictionAutores:Aledo J., Cantón F., José Luis Subirats, Urda D., Veredas F.Fuentes:scopusCommittee c-mantec: A probabilistic constructive neural network
Conference ObjectAbstract: C-Mantec is a recently introduced constructive algorithm that generates compact neural architecturesPalabras claves:Committee networks, Constructive Neural Networks, Supervised classificationAutores:Francisco Ortega-Zamorano, Franco L., Jerez-Aragonés J.M., José Luis Subirats, Luque-Baena R.M., Urda D.Fuentes:scopusActive learning using a constructive neural network algorithm
Conference ObjectAbstract: Constructive neural network algorithms suffer severely from overfitting noisy datasets as, in generaPalabras claves:Autores:Franco L., Jerez-Aragonés J.M., José Luis Subirats, Molina I.Fuentes:scopusMaxSet: An algorithm for finding a good approximation for the largest linearly separable set
Conference ObjectAbstract: Finding the largest linearly separable set of examples for a given Boolean function is a NP-hard proPalabras claves:Autores:Franco L., Jerez-Aragonés J.M., José Luis SubiratsFuentes:scopusOptimal synthesis of Boolean functions by threshold functions
Conference ObjectAbstract: We introduce a new method foi1 obtaining optimal architectures that implement arbitrary Boolean funcPalabras claves:Autores:Franco L., Gómez I., Jerez-Aragonés J.M., José Luis SubiratsFuentes:scopus