My contributions.
As principal investigator
- Preludium: Improving interpretability properties of prototypical parts-based deep neural networks. National Science Center, Poland 2023 - 2024 2022/45/N/ST6/04147
- POB DigiWorld minigrant: Deep Neural Networks in the context of human cognitive system. Jagiellonian University, Poland 2021 - 2022
As coinvestigator
- First Team FENG: Interpretable and interactive multimodal search in the drug discovery process Foundation for Polish Science, Poland principal investigator: prof. Bartosz Zieliński, 2024 - 2028 FENG.02.02-IP.05-0040/23
- Opus: Deep Meta Learning National Science Center, Poland principal investigator: prof. Jacek Tabor, 2024 - 2027 2023/49/B/ST6/01137
- Opus: Interpretable and sustainable artificial intelligence with intuitive explanations National Science Center, Poland principal investigator: prof. Bartosz Zieliński, 2023 - 2026 2022/47/B/ST6/03397
- Team-Net: Bio-inspired artificial neural networks Foundation for Polish Science, Poland principal investigator: prof. Jacek Tabor, 2020 - 2023 POIR.04.04.00-00-14DE/18-00
- Opus: Deep Self-Organizing Neural Graphs National Science Center, Poland principal investigator: prof. Jacek Tabor, 2022 - 2025 2021/41/B/ST6/01370
- POB DigiWorld minigrant: Innovative microbiological diagnostics using machine learning Jagiellonian University, Poland principal investigator: dr Bartosz Zieliński, 2021
- Fast track: Opracowanie platformy badań fenotypowych, opartej na technologii high-content screening, z analizą za pomocą algorytmów sztucznej inteligencji w celu odkrywania nowych leków w chorobach neurozapalnych i zwłóknieniowych National Center for Research and Development, Poland company: Selvita, 2019 - 2022 POIR.01.01.01-00-0878/19
- Fast track: X-rAI: Przeglądarka diagnostyczna dla radiologii z komputerowym wspomaganiem wykorzystującym Sztuczną Inteligencję National Center for Research and Development, Poland company: AGH University of Science and Technology, 2021 - 2023 POIR.01.01.01-00-1666/20