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A note on the bias in SVMs for multiclassification
ArticleAbstract: During the usual SVM biclassification learning process, the bias is chosen a posteriori as the valuePalabras claves:bias, Multiclassification, support vector machine (SVM)Autores:Cecilio Angulo Bahón, Gonzalez-Abril L., Ortega J.A., Velasco F.Fuentes:scopusA post-processing strategy for SVM learning from unbalanced data
Conference ObjectAbstract: Standard learning algorithms may perform poorly when learning from unbalanced datasets. Based on thePalabras claves:Autores:Cecilio Angulo Bahón, Gonzalez-Abril L., Nuñez H.Fuentes:scopusA study on output normalization in multiclass SVMs
ArticleAbstract: The use of binary support vector machines (SVMs) in multi-classification is addressed in this paper.Palabras claves:1-v-r SVM, Convex hull, kernel methods, MulticlassificationAutores:Cecilio Angulo Bahón, Gonzalez-Abril L., Ortega J.A., Velasco F.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:scopusMulti-classification by using tri-class SVM
ArticleAbstract: The standard form for dealing with multi-class classification problems when bi-classifiers are usedPalabras claves:Bi-classifier, Multi-classification, Ordinal regression, Support Vector MachineAutores:Cecilio Angulo Bahón, Gonzalez-Abril L., Ortega J.A., Ruiz F.J.Fuentes:scopusHandling binary classification problems with a priority class by using Support Vector Machines
ArticleAbstract: A post-processing technique for Support Vector Machine (SVM) algorithms for binary classification prPalabras claves:Cost-sensitive SVM, pattern recognition, Post-processing strategies, SUPPORT VECTOR MACHINESAutores:Cecilio Angulo Bahón, Gonzalez-Abril L., Leal Y., 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:scopusIntroducing a 'difficulty factor' for dataset bi-classification using SVM
Conference ObjectAbstract: This paper analyses the difficulty associated to the task of binary classification when a Support VePalabras claves:classification, Complexity, Glass dataset, Lagrange multipliers, SVMAutores:Cecilio Angulo Bahón, Gonzalez-Abril L.Fuentes:scopusStatistical Validation of Synthetic Data for Lung Cancer Patients Generated by Using Generative Adversarial Networks
ArticleAbstract: The development of healthcare patient digital twins in combination with machine learning technologiePalabras claves:Generative Adversarial Network, lung cancer, personalized medicine, validation toolsAutores:Cecilio Angulo Bahón, Gonzalez-Abril L., Lopez-Guerra J.L., Ortega J.A.Fuentes:scopusSupport vector machines for interval discriminant analysis
ArticleAbstract: The use of data represented by intervals can be caused by imprecision in the input information, incoPalabras claves:classification, Convex optimization, interval analysis, Kernel machinesAutores:Anguita D., Cecilio Angulo Bahón, Gonzalez-Abril L., Ortega J.A.Fuentes:scopus