3 projects found matching your search criteria :
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
Interpretability of Deep Neural Networks for Radiomics
Call: CHIST-ERA2019 , Panel: ST6
Principal investigator: dr Neo Christopher Chung
Uniwersytet Warszawski
Can an artificial neural network teach us quantum physics?
Call: PRELUDIUM 17 , Panel: ST2
Principal investigator: Anna Dawid-Łękowska
Uniwersytet Warszawski, Wydział Fizyki