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Comparing Explanations from Glass-Box and Black-Box Machine-Learning Models
publication

Comparing Explanations from Glass-Box and Black-Box Machine-Learning Models

12.07.2022
Michał Kuk, Szymon Bobek and Grzegorz J. Nalepa recently presented a paper about explainable AI on the prestigious International Conference on Computational Science 2022 (ICCS 2022). Below you can find a link to the paper.
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Virtual Reality-Based Parallel Coordinates Plots Enhanced with Explainable AI and Data-Science Analytics for Decision-Making Processes
publication

Virtual Reality-Based Parallel Coordinates Plots Enhanced with Explainable AI and Data-Science Analytics for Decision-Making Processes

08.04.2022
Members of JAHCAI - Szymon Bobek and Grzegorz J. Nalepa - published a paper with group of researchers from Cambridge University.
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Anomaly Detection in Asset Degradation Process Using Variational Autoencoder and Explanations
publication

Anomaly Detection in Asset Degradation Process Using Variational Autoencoder and Explanations

08.04.2022
New publication authored by the members of JAHCAI - Szymon Bobek and Grzegorz J. Nalepa, along with Jakub Jakubowski and Przemysław Stanisz.
Read More o Anomaly Detection in Asset Degradation Process Using Variational Autoencoder and Explanations