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Communications in Computer and Information Science(2)
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Sensors (Switzerland)(1)
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Characterizing ResNet Filters to Identify Positive and Negative Findings in Breast MRI Sequences
Conference ObjectAbstract: Training of deep learning models requires large and properly labeled datasets, which make unfeasiblePalabras claves:Breast Cancer, Deep feature selection, multiple kernel learning, ResNet, Transfer learningAutores:A. E. Castro-Ospina, Díaz G.M., Hernández M.L., Marín-Castrillón D.M., Osorno-Castillo K.Fuentes:scopusAn automatic BI-RADS description of mammographic masses by fusing multiresolution features
ArticleAbstract: Correct mammography evaluation demands great expertise and rigorous interpretation of some radiograpPalabras claves:BI-RADS mammographic lexicon, Curvelet transform, Mammographic mass description, multiple kernel learning, Zernike momentsAutores:Díaz G.M., Fabián R. Narváez, Poveda C., Romero E.Fuentes:googlescopusA novel method for objective selection of information sources using multi-kernel SVM and local scaling
ArticleAbstract: Advancement on computer and sensing technologies has generated exponential growth in the data availaPalabras claves:Machine learning, Multimodality, multiple kernel learning, Source selection, SUPPORT VECTOR MACHINESAutores:A. E. Castro-Ospina, Areiza-Laverde H.J., Díaz G.M., Hernández M.L.Fuentes:scopusFeature group selection using mkl penalized with ℓ<inf>1</inf> -norm and svm as base learner
Conference ObjectAbstract: Objective feature selection is an important component in the machine learning framework, which has aPalabras claves:feature selection, Group LASSO, Multimodality, multiple kernel learning, sparsityAutores:A. E. Castro-Ospina, Areiza-Laverde H.J., Díaz G.M.Fuentes:scopus