Variably Scaled Kernels Improve Classification of Hormonally-Treated Patient-Derived Xenografts - researchr publication authors

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Francesco Marchetti, Fabio De Martino, Marie Shamseddin, Stefano De Marchi, Cathrin Brisken. Variably Scaled Kernels Improve Classification of Hormonally-Treated Patient-Derived Xenografts. In 2020 IEEE Conference on Evolving and Adaptive Intelligent Systems, EAIS 2020, Bari, Italy, May 27-29, 2020. pages 1-6, IEEE, 2020. [doi]

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