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_011:
  • ST6_007:

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 Damian 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): 2025-02-16

Project duration:: 24 months (the same as in the proposal)

Project status: Project completed

Project description

Download the project description in a pdf file

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

Information in the final report

  • Articles in post-conference publications (3)
  1. ProMIL: Probabilistic Multiple Instance Learning for Medical Imaging
    Authors:
    Łukasz Struski, Dawid Rymarczyk, Arkadiusz Lewicki, Robert Sabiniewicz, Jacek Tabor, Bartosz Zieliński
    Conference:
    European Conference on Artificial Intelligence [ECAI] vol. 372 (rok: 2023, tom: European Conference on Artificial Intelligence, strony: 2210 - 2217), Wydawca: iOS Press
    Data:
    konferencja 30.09-04.10.2023
    Status:
    Published
    DOI:
    10.3233/faia230518 - link to the publication
  2. ICICLE: Interpretable Class Incremental Continual Learning
    Authors:
    Dawid Rymarczyk, Joost van de Weijer , Bartłomiej Twardowski, Bartosz Zieliński
    Conference:
    IEEE International Conference on Computer Vision [ICCV](MAIN) vol. 2023 (rok: 2023, tom: International Conference on Computer Vision, strony: 1887-1898), Wydawca: IEEE
    Data:
    konferencja 02-10-2023 - 06-10-2023
    Status:
    Published
  3. ICICLE: Interpretable Class Incremental Continual Learning
    Authors:
    Dawid Rymarczyk, Joost van de Weijer , Bartłomiej Twardowski, Bartosz Zieliński
    Conference:
    IEEE International Conference on Computer Vision [ICCV](MAIN) vol. 2023 (rok: 2023, tom: International Conference on Computer Vision, strony: 1887-1898), Wydawca: IEEE
    Data:
    konferencja 02-10-2023 - 06-10-2023
    Status:
    Published