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Application of an interpretable classification model on Early Folding Residues during protein folding.

, , , , , and . BioData Min., 12 (1): 1:1-1:16 (2019)

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Lateral enhancement in adaptive metric learning for functional data., , , and . Neurocomputing, (2014)Precision-Recall-Optimization in Learning Vector Quantization Classifiers for Improved Medical Classification Systems., , , , and . CIDM, page 71-77. IEEE, (2014)Learning matrix quantization and relevance learning based on Schatten-p-norms., , , , and . Neurocomputing, (2016)Investigating the Influence of CPU Load, Memory Usage and Environmental Conditions on the Jittering of Android Devices., , , , , , and . ICNCC, page 102-106. ACM, (2018)Investigation of Activation Functions for Generalized Learning Vector Quantization., , , , and . WSOM+, volume 976 of Advances in Intelligent Systems and Computing, page 179-188. Springer, (2019)Mathematical Characterization of Sophisticated Variants for Relevance Learning in Learning Matrix Quantization Based on Schatten-p-norms., , , , and . ICAISC (1), volume 9119 of Lecture Notes in Computer Science, page 403-414. Springer, (2015)Similarities, Dissimilarities and Types of Inner Products for Data Analysis in the Context of Machine Learning - A Mathematical Characterization., , , and . ICAISC (2), volume 9693 of Lecture Notes in Computer Science, page 125-133. Springer, (2016)Complex Variants of GLVQ Based on Wirtinger's Calculus., , , , and . WSOM, volume 428 of Advances in Intelligent Systems and Computing, page 293-303. Springer, (2016)Kernelized vector quantization in gradient-descent learning., , and . Neurocomputing, (2015)Self-Adjusting Reject Options in Prototype Based Classification., , , , , , and . WSOM, volume 428 of Advances in Intelligent Systems and Computing, page 269-279. Springer, (2016)