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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(3)
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IEEE Transactions on Neural Networks and Learning Systems(1)
International Journal of Innovative Computing, Information and Control(1)
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scopus(10)
Combining feature engineering and feature selection to improve the pbkp_rediction 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:scopusConstructive neural networks to pbkp_redict 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:scopusApplication of genetic algorithms and constructive neural networks for the analysis of microarray cancer data
ArticleAbstract: Background: Extracting relevant information from microarray data is a very complex task due to the cPalabras claves:Constructive Neural Networks, feature selection, Genetic Algorithms, MicroarrayAutores:Franco L., Jerez-Aragonés J.M., José Luis Subirats, Luque-Baena R.M., Urda D.Fuentes:scopusAddressing critical issues in the development of an Oncology Information System
ArticleAbstract: Purposes: This paper presents the experience on the design and implementation of a user-centered OncPalabras claves:Biomedical Applications, electronic health record, Oncology Information System, survival analysisAutores:Alba E., Franco L., Jerez-Aragonés J.M., José Luis Subirats, Ribelles N., Urda D.Fuentes:scopusAdvanced online survival analysis tool for pbkp_redictive modelling in clinical data science
ArticleAbstract: One of the prevailing applications of machine learning is the use of pbkp_redictive modelling in cliPalabras claves:Autores:Alba E., Franco L., Jerez-Aragonés J.M., José Luis Subirats, Montes-Torres J., Ribelles N., Urda D.Fuentes:scopusEnergy-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:scopusEfficient Implementation of the Backpropagation Algorithm in FPGAs and Microcontrollers
ArticleAbstract: The well-known backpropagation learning algorithm is implemented in a field-programmable gate arrayPalabras claves:Embedded Systems, field-programmable gate array (FPGA), Hardware implementation, Microcontrollers, Supervised learningAutores:Francisco Ortega-Zamorano, Franco L., Jerez-Aragonés J.M., Luque-Baena R.M., Urda D.Fuentes:scopusHybrid (generalization-correlation) method for feature selection in high dimensional DNA microarray pbkp_rediction problems
Conference ObjectAbstract: Microarray data analysis is attracting increasing attention in computer science because of the manyPalabras claves:Constructive Neural Networks, Data Mining, DNA Microarray, feature selectionAutores:Couce Y., Franco L., Jerez-Aragonés J.M., José Luis Subirats, Urda D.Fuentes:scopusWIMP: Web server tool for missing data imputation
ArticleAbstract: The imputation of unknown or missing data is a crucial task on the analysis of biomedical datasets.Palabras claves:imputation, Machine learning, Missing data, Web ApplicationAutores:Franco L., García-Laencina P.J., Jerez-Aragonés J.M., José Luis Subirats, Sancho-Gómez J.L., Urda D.Fuentes:scopus