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dc.contributor | Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial |
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dc.contributor | Universitat Politècnica de Catalunya. GREC - Grup de Recerca en Enginyeria del Coneixement |
dc.contributor.author | Núñez Castro, Haydemar |
dc.contributor.author | Gonzalez Abril, Luis |
dc.contributor.author | Angulo Bahón, Cecilio |
dc.date | 2017-10-14 |
dc.identifier.citation | Núñez, H., Gonzalez-Abril, L., Angulo, C. Improving SVM classification on imbalanced datasets by introducing a new bias. "Journal of classification", 14 Octubre 2017, p. 1-17. |
dc.identifier.citation | 0176-4268 |
dc.identifier.citation | 10.1007/s00357-017-9242-x |
dc.identifier.uri | http://hdl.handle.net/2117/110122 |
dc.language.iso | eng |
dc.relation | https://link.springer.com/article/10.1007%2Fs00357-017-9242-x |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 Spain |
dc.rights | info:eu-repo/semantics/openAccess |
dc.rights | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
dc.subject | Àrees temàtiques de la UPC::Informàtica |
dc.subject | Support vector machines. |
dc.subject | Machine learning. |
dc.subject | Algorithm |
dc.subject | Bias |
dc.subject | Cost-sensitive strategy |
dc.subject | Post-processing |
dc.subject | SMOTE |
dc.subject | Support Vector Machine |
dc.subject | Algorismes |
dc.subject | Aprenentatge automàtic |
dc.title | Improving SVM classification on imbalanced datasets by introducing a new bias |
dc.type | info:eu-repo/semantics/submittedVersion |
dc.type | info:eu-repo/semantics/article |
dc.description.abstract | |
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