1 code implementation • 20 Mar 2024 • Ignacy Stępka, Mateusz Lango, Jerzy Stefanowski
Counterfactuals are widely used to explain ML model predictions by providing alternative scenarios for obtaining the more desired predictions.
1 code implementation • 18 Dec 2023 • Jakub Raczyński, Mateusz Lango, Jerzy Stefanowski
Providing natural language explanations for recommendations is particularly useful from the perspective of a non-expert user.
no code implementations • 16 Dec 2023 • Damian Horna, Lango Mateusz, Jerzy Stefanowski
Improving the classification of multi-class imbalanced data is more difficult than its two-class counterpart.
no code implementations • 24 Feb 2023 • Riccardo Albertoni, Sara Colantonio, Piotr Skrzypczyński, Jerzy Stefanowski
Reproducibility is one of the core dimensions that concur to deliver Trustworthy Artificial Intelligence.
1 code implementation • 15 Oct 2022 • Agnieszka Lipska, Jerzy Stefanowski
This work is aimed at the experimental studying the influence of local data characteristics and drifts on the difficulties of learning various online classifiers from multi-class imbalanced data streams.
no code implementations • 10 May 2022 • Witold Andrzejewski, Jedrzej Potoniec, Maciej Drozdowski, Jerzy Stefanowski, Robert Wrembel, Paweł Stapf
In this paper, we evaluate the above methods with respect to the quality and computational costs, both in the training and in the execution.