5 papers
The Frustrometer: Detecting User Frustration in Data Visualization Tasks using Biomarkers and Interaction Patterns
Johannes Ellemose, Sophia Wanner, Djordje SlijepÄeviÄ +4
Visualization research has largely solved \textit{how} to help a stuck or frustrated user -- through interactive onboarding, contextual help, and active guidance. The unsolved prob…
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…
Distilling Knowledge from Large Language Models: A Concept Bottleneck Model for Hate and Counter Speech Recognition
Roberto Labadie-Tamayo, Djordje SlijepÄeviÄ, Xihui Chen +4
The rapid increase in hate speech on social media has exposed an unprecedented impact on society, making automated methods for detecting such content important. Unlike prior black-…
FHSTP@EXIST 2025 Benchmark: Sexism Detection with Transparent Speech Concept Bottleneck Models
Roberto Labadie-Tamayo, Adrian Jaques Böck, Djordje SlijepÄeviÄ +3
Sexism has become widespread on social media and in online conversation. To help address this issue, the fifth Sexism Identification in Social Networks (EXIST) challenge is initiat…
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…