3 papers
cs.CV2026
Explanatory Interactive Machine Learning for Bias Mitigation in Visual Gender Classification
Nathanya Satriani, Djordje SlijepÄeviÄ, Markus Schedl +1
Explanatory interactive learning (XIL) enables users to guide model training in machine learning (ML) by providing feedback on the model's explanations, thereby helping it to focus…
cs.AI2025
Machine Learning in Biomechanics: Key Applications and Limitations in Walking, Running, and Sports Movements
Carlo Dindorf, Fabian Horst, Djordje SlijepÄeviÄ +5
This chapter provides an overview of recent and promising Machine Learning applications, i.e. pose estimation, feature estimation, event detection, data exploration & clustering, a…
cs.LG2024
Exploring the Plausibility of Hate and Counter Speech Detectors with Explainable AI
Adrian Jaques Böck, Djordje SlijepÄeviÄ, Matthias Zeppelzauer
In this paper we investigate the explainability of transformer models and their plausibility for hate speech and counter speech detection. We compare representatives of four differ…