Listar por autor "Álvarez-Meza, Andrés Marino"
Mostrando documentos 1-2 de 2
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A deep learning approach for image-based semantic segmentation with preserved interpretability
Aguirre Arango, Juan CarlosSemantic segmentation is pivotal in various industries, showcasing its significant impact across numerous applications. Semantic segmentation offers invaluable insights that drive advancements in fields such as autonomous ... -
Parameter selection in least squares-support vector machines regression oriented, using generalized cross-validation
Álvarez-Meza, Andrés Marino; Daza Santacoloma, Genaro; Acosta Mejia, Carlos; Castallanos Dominguez, GermanIn this work a new methodology for automatic selection of the free parameters in the Least Squares–Support Vector Machines (LS-SVM) regression oriented algorithm is proposed. We employ a multidimensional Generalized ...Universidad Nacional de Colombia Revistas electrónicas UN Dyna.