Projects funded by the NCN


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3 projects found matching your search criteria :

  1. Improving interpretability properties of prototypical parts-based deep neural networks.

    Call: PRELUDIUM 21 , Panel: ST6

    Principal investigator: Dawid Rymarczyk

    Uniwersytet Jagielloński, Wydział Matematyki i Informatyki

  2. Interpretability of Deep Neural Networks for Radiomics

    Call: CHIST-ERA2019 , Panel: ST6

    Principal investigator: dr Neo Christopher Chung

    Uniwersytet Warszawski

  3. Can an artificial neural network teach us quantum physics?

    Call: PRELUDIUM 17 , Panel: ST2

    Principal investigator: Anna Dawid-Łękowska

    Uniwersytet Warszawski, Wydział Fizyki