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Neurocomputing(2)
2017 CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies, CHILECON 2017 - Proceedings(1)
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ETFA 2009 - 2009 IEEE Conference on Emerging Technologies and Factory Automation(1)
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scopus(13)
A jerk threshold-based involuntary lateral movement algorithm
Conference ObjectAbstract: Algorithms for automatic fall detection are often studied in the field of ambulatory human health suPalabras claves:Autores:Cecilio Angulo Bahón, Solé G.V.Fuentes:scopusGSVM: An SVM for handling imbalanced accuracy between classes inbi-classification problems
ArticleAbstract: A new support vector machine, SVM, is introduced, called GSVM, which is specially designed for bi-clPalabras claves:classification, Cost-sensitive schemes, Imbalanced accuracy, Imbalanced databases, SUPPORT VECTOR MACHINESAutores:Cecilio Angulo Bahón, Gonzalez-Abril L., Nuñez H., Velasco F.Fuentes:scopusEvolving cooperation of simple agents for the control of an autonomous robot
Conference ObjectAbstract: A distributed and scalable architecture for the control of an autonomous robot is presented in thisPalabras claves:Agents, Autonomous robots, Distributed controller, EVOLUTION, Neural networksAutores:Cecilio Angulo Bahón, Téllez R.A.Fuentes:scopusMotion intention optimization for multirotor robust video stabilization
Conference ObjectAbstract: In this paper we present an optimization algorithm for simultaneously detecting video freeze and obtPalabras claves:Feature points, filter, Geometric transform, Motion smoothing, RANSAC, Video stabilization, WarpingAutores:Cecilio Angulo Bahón, Jorge A. Pardo, Wilbert G. AguilarFuentes:scopusHybrid architecture based on support vector machines
Conference ObjectAbstract: An hybrid SVM-symbolic architecture for classification tasks is proposed in this work. The learningPalabras claves:Autores:Cátalaandreu A., Cecilio Angulo Bahón, Nuñez H.Fuentes:scopusImproving SVM Classification on Imbalanced Datasets by Introducing a New Bias
ArticleAbstract: Support Vector Machine (SVM) learning from imbalanced datasets, as well as most learning machines, cPalabras claves:bias, Cost-sensitive strategy, Post-processing, SMOTE, Support Vector MachineAutores:Cecilio Angulo Bahón, Gonzalez-Abril L., Nuñez H.Fuentes:scopusK-SVCR. A support vector machine for multi-class classification
ArticleAbstract: The problem of multi-class classification is usually solved by a decomposing and reconstruction procPalabras claves:Multi-classification, robustness, SUPPORT VECTOR MACHINESAutores:Cecilio Angulo Bahón, Mallofre A.C., Parra-Llanas X.Fuentes:scopusUnified dual for bi-class SVM approaches
ArticleAbstract: SVM theory was originally developed on the basis of a separable binary classification problem, and oPalabras claves:Binary classification, Kernels, Large margin principle, QP-problem, SVMAutores:Cecilio Angulo Bahón, Gonzalez-Abril L., Mallofre A.C., Velasco F.Fuentes:scopusUsing a simulated annealing to enhance learning in adjustment processes
Conference ObjectAbstract: This paper introduces a new approach to enhance learning in adjustment processes by using a supportPalabras claves:Adjustment process, learning algorithms, Machine learning, Simulated Annealing, SUPPORT VECTOR MACHINESAutores:Agell N., Cecilio Angulo Bahón, Ruiz F.J., Samà A.Fuentes:scopusRule extraction based on support and prototype vectors
ArticleAbstract: The support vector machine (SVM) is a modelling technique based on the statistical learning theory (Palabras claves:Autores:Cecilio Angulo Bahón, Mallofre A.C., Nuñez H.Fuentes:scopus