Interpretable Classifiers in Precision Medicine: Feature Selection and Multi-class Categorization - researchr publication authors

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Lyn-Rouven Schirra, Florian Schmid, Hans A. Kestler, Ludwig Lausser. Interpretable Classifiers in Precision Medicine: Feature Selection and Multi-class Categorization. In Friedhelm Schwenker, Hazem M. Abbas, Neamat El Gayar, Edmondo Trentin, editors, Artificial Neural Networks in Pattern Recognition - 7th IAPR TC3 Workshop, ANNPR 2016, Ulm, Germany, September 28-30, 2016, Proceedings. Volume 9896 of Lecture Notes in Computer Science, pages 105-116, Springer, 2016. [doi]

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