Projects funded by the NCN


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7 projects found matching your search criteria :

  1. 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

  2. Explainability methods for machine learning models in static and evolving data

    Call: OPUS 26 , Panel: ST6

    Principal investigator: prof. Jerzy Maciej Stefanowski

    Politechnika Poznańska, Wydział Informatyki i Telekomunikacji

  3. 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

  4. Algorithms and measures for fair and explainable decision systems

    Call: SONATA 18 , Panel: ST6

    Principal investigator: dr hab. Dariusz Brzeziński

    Politechnika Poznańska, Wydział Informatyki i Telekomunikacji

  5. The Understandability Requirement of Machine Learning Systems Used in the Application of Law

    Call: PRELUDIUM 21 , Panel: HS5

    Principal investigator: Andrzej Porębski

    Uniwersytet Jagielloński, Wydział Prawa i Administracji

  6. Social Explainable Artificial Intelligence

    Call: CHIST-ERA2019 , Panel: ST6

    Principal investigator: prof. Stanisław Józef Matwin

    Instytut Podstaw Informatyki PAN

  7. Detecting and overcoming bias in data with explainable artificial intelligence

    Call: PRELUDIUM 18 , Panel: ST6

    Principal investigator: dr Agnieszka Mikołajczyk-Bareła

    Politechnika Gdańska