KI2025: IML presents Research on Efficient Bioacoustic Analysis

At the KI2025 Conference in Potsdam, Hannes Kath from the Chair of Applied Artificial Intelligence at the University of Oldenburg and the Interactive Machine Learning department presented the research paper “Intermediate-Task Transfer Learning for Bioacoustic Data”. KI2025 is one of the premier European conferences on artificial intelligence bringing together researchers, Read more

Comprehensive Evaluation of
Feature Attribution Methods in Explainable AI via Input Perturbation

Explainable AI (XAI) has demonstrated its potential in deciphering discriminatory features in machine learning (ML) decision-making processes. Specifically, XAI’s feature attribution methods shed light on individual decisions made by ML models. However, despite their visual appeal, these attributions can be unfaithful. To ensure the faithfulness of feature attributions, it is Read more