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IEEE SSCI 2014 - 2014 IEEE Symposium Series on Computational Intelligence - IES 2014: 2014 IEEE Symposium on Intelligent Embedded Systems, Proceedings(1)
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scopus(19)
Committee 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 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: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: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 predictive modelling in clinical data science
ArticleAbstract: One of the prevailing applications of machine learning is the use of predictive modelling in clinicaPalabras claves:Autores:Alba E., Franco L., Jerez-Aragonés J.M., José Luis Subirats, Montes-Torres J., Ribelles N., 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:scopusEarly breast cancer prognosis prediction and rule extraction using a new constructive neural network algorithm
Conference ObjectAbstract: Breast cancer relapse prediction is an important step in the complex decision-making process of deciPalabras claves:Autores:Alba E., Franco L., Jerez-Aragonés J.M., José Luis Subirats, Molina I.Fuentes:scopusHigh precision FPGA implementation of neural network activation functions
Conference ObjectAbstract: The efficient implementation of artificial neural networks in FPGA boards requires tackling severalPalabras claves:Autores:Francisco Ortega-Zamorano, Franco L., Jerez-Aragonés J.M., Juárez G.E., Perez J.O.Fuentes:scopusExtension of the generalization complexity measure to real valued input data sets
Conference ObjectAbstract: This paper studies the extension of the Generalization Complexity (GC) measure to real valued inputPalabras claves:Architecture size, CAIM, Discretization algorithms, neural network, Real-valued functionAutores:Franco L., Gómez I., Jerez-Aragonés J.M., José Luis SubiratsFuentes:scopusFPGA Hardware Acceleration of Monte Carlo Simulations for the Ising Model
ArticleAbstract: A two-dimensional Ising model with nearest-neighbors ferromagnetic interactions is implemented in aPalabras claves:Hardware implementation, Ising model, LFSR random number generator, Monte Carlo simulationsAutores:Cannas S.A., Francisco Ortega-Zamorano, Franco L., Jerez-Aragonés J.M., Montemurro M.A.Fuentes:scopus