120 citations
- University of Koblenz and LandauDE25 papers
- Koblenz University of Applied SciencesDE19 papers
- GESIS - Leibniz Institute for the Social SciencesDE11 papers
- Chemnitz University of TechnologyDE4 papers
- RWTH Aachen UniversityDE4 papers
- University of SouthamptonGB4 papers
- Fraunhofer Institute for Software and Systems EngineeringDE3 papers
- Graz University of TechnologyAT3 papers
- Ruhr University BochumDE3 papers
- Universität HamburgDE3 papers
- University of SheffieldGB3 papers
- University of StuttgartDE3 papers
44 papers
FairFinGAN: Fairness-aware Synthetic Financial Data Generation
Tai Le Quy, Dung Nguyen Tuan, Trung Nguyen Thanh +3
Financial datasets often suffer from bias that can lead to unfair decision-making in automated systems. In this work, we propose FairFinGAN, a WGAN-based framework designed to gene…
Automating Computational Reproducibility in Social Science: Comparing Prompt-Based and Agent-Based Approaches
Syed Mehtab Hussain Shah, Frank Hopfgartner, Arnim Bleier
Reproducing computational research is often assumed to be as simple as rerunning the original code with provided data. In practice, missing packages, fragile file paths, version co…
A Deep Latent Factor Graph Clustering with Fairness-Utility Trade-off Perspective
Siamak Ghodsi, Amjad Seyedi, Tai Le Quy +2
Fair graph clustering seeks partitions that respect network structure while maintaining proportional representation across sensitive groups, with applications spanning community de…
The QTF-Backbone: Proposal for a Nationwide Optical Fibre Backbone in Germany for Quantum Technology and Time and Frequency Metrology
Tara Cubel Liebisch, Peter Kaufmann, Harald Schnatz +166
The recent breakthroughs in the distribution of quantum information and high-precision time and frequency (T&F) signals over long-haul optical fibre networks have transformative po…
FACROC: a fairness measure for FAir Clustering through ROC curves
Tai Le Quy, Long Le Thanh, Lan Luong Thi Hong +1
Fair clustering has attracted remarkable attention from the research community. Many fairness measures for clustering have been proposed; however, they do not take into account the…
Chaos in opinion-driven disease dynamics
Thomas Götz, Tyll Krüger, Karol Niedzielewski +3
During the COVID-19 pandemic, it became evident that the effectiveness of applying intervention measures is significantly influenced by societal acceptance, which, in turn, is affe…