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"Variably Scaled Kernels Improve Classification of Hormonally-Treated ..."

Francesco Marchetti et al. (2020)

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DOI: 10.1109/EAIS48028.2020.9122767

access: closed

type: Conference or Workshop Paper

metadata version: 2022-10-02

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  dblp key:
  - conf/eais/MarchettiMSMB20
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  - https://dblp.org/rec/conf/eais/MarchettiMSMB20
Francesco Marchetti, Fabio De Martino, Marie Shamseddin, Stefano De Marchi, Cathrin Brisken:
Variably Scaled Kernels Improve Classification of Hormonally-Treated Patient-Derived Xenografts. EAIS 2020: 1-6

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