Projects funded by the NCN


Information on the principal investigator and host institution

Information of the project and the call

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

2022/45/N/ST6/04147

Keywords:

machine learning deep learning interpretability

Descriptors:

  • ST6_11: Machine learning, statistical data processing and applications using signal processing (e.g. speech, image, video)
  • ST6_7: Artificial intelligence, intelligent systems, multi-agent systems

Panel:

ST6 - Computer science and informatics: informatics and information systems, computer science, scientific computing, intelligent systems

Host institution :

Uniwersytet Jagielloński, Wydział Matematyki i Informatyki

woj. małopolskie

Other projects carried out by the institution 

Principal investigator (from the host institution):

Dawid Rymarczyk 

Number of co-investigators in the project: 2

Call: PRELUDIUM 21 - announced on 2022-03-28

Amount awarded: 40 253 PLN

Project start date (Y-m-d): 2023-02-17

Project end date (Y-m-d): 2024-02-16

Project duration:: 12 months (the same as in the proposal)

Project status: Project completed

Project description

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Note - project descriptions were prepared by the authors of the applications themselves and placed in the system in an unchanged form.