Projects funded by the NCN

Neurosymbolic Architectures for Unsupervised Learning of Explanatory Models

Call: OPUS 29 , Panel: ST6

Principal investigator: prof. Krzysztof Krawiec

Politechnika Poznańska

Local Causal Explainability of Machine Learning Models: Game-Theoretic Methods for Reliable Feature Attribution

Call: PRELUDIUM 24 , Panel: ST6

Principal investigator: Mateusz Maciej Gajewski

Politechnika Poznańska

Explanation of Pre-Trained deep learning models via Prototypes

Call: PRELUDIUM 24 , Panel: ST6

Principal investigator: Piotr Borycki

Uniwersytet Jagielloński

Probabilistic Methods for Plausibility, Robustness, and Diversity in Counterfactual Explanations

Call: OPUS 28 , Panel: ST6

Principal investigator: dr hab. Maciej Mateusz Zięba

Politechnika Wrocławska

GeoSpatial AI-Driven Risk Assesment of Child Malnutrition. Unreveling the Intersectional Determinants.

Call: PRELUDIUM 23 , Panel: HS4

Principal investigator: Muhammad Usman

Uniwersytet Warszawski

Application of explainable artificial intelligence algorithms in order to improve imbalanced data methods

Call: PRELUDIUM 23 , Panel: ST6

Principal investigator: Weronika Tamara Węgier

Politechnika Wrocławska

DeMeTeR: Interpreting Diffusion Models Through Representations

Call: PRELUDIUM BIS 5 , Panel: ST6

Principal investigator: prof. Przemysław Biecek

Uniwersytet Warszawski

XAICancer: Explainable Artificial Intelligence for Cancer Imaging

Call: SONATA BIS 13 , Panel: ST6

Principal investigator: dr Neo Christopher Chung

Uniwersytet Warszawski, Wydział Matematyki, Informatyki i Mechaniki

Philosophical Analysis of the Black Box Problem: Scientific Understanding and Explainable Artificial Intelligence

Call: PRELUDIUM 22 , Panel: HS1

Principal investigator: Marcin Piotr Rabiza

Instytut Filozofii i Socjologii Polskiej Akademii Nauk, Szkoła Nauk Społecznych

Interventions against polarisation in society for Trustworthy social media: From diagnosis to therapy

Call: CHIST-ERA2021 , Panel: ST6

Principal investigator: dr hab. Katarzyna Budzyńska

Politechnika Warszawska, Wydział Administracji i Nauk Społecznych

ARES: Attack-Resistant Explanations toward Secure and trustworthy AI

Call: PRELUDIUM BIS 3 , Panel: ST6

Principal investigator: dr hab. Przemysław Biecek

Uniwersytet Warszawski

Interpretability of Deep Neural Networks for Radiomics

Call: CHIST-ERA2019 , Panel: ST6

Principal investigator: dr Neo Christopher Honghoon Chung

Uniwersytet Warszawski, Wydział Matematyki, Informatyki i Mechaniki

HOMER: Human Oriented autoMated machinE leaRning

Call: SONATA BIS 9 , Panel: ST6

Principal investigator: dr hab. Przemysław Biecek

Politechnika Warszawska, Wydział Matematyki i Nauk Informacyjnych