61 citations
- Universität KoblenzDE20 papers
- University of BonnDE5 papers
- Chemnitz University of TechnologyDE4 papers
- GESIS - Leibniz Institute for the Social SciencesDE4 papers
- Fraunhofer Institute for Applied Information TechnologyDE2 papers
- Graz University of TechnologyAT2 papers
- Hanoi University of Science and TechnologyVN2 papers
- RWTH Aachen UniversityDE2 papers
- Technical University of MunichDE2 papers
- Technische Universität IlmenauDE2 papers
- University of Koblenz and LandauDE2 papers
- University of RostockDE2 papers
36 papers
Product units in gated recurrent units improve nuclear-mass prediction
Ziyuan Li, Paulo S. A. Freitas, John W. Clark +1
The prediction of masses of atomic nuclei using machine learning can complement theoretical models and advance the exploration of poorly known domains of the nuclear chart. We prop…
Modeling Nonlinear Feature Interactions with Product-Unit Residual Networks
Ziyuan Li, Uwe Jaekel, Babette Dellen
Understanding nonlinear feature interactions is crucial in science and engineering, yet standard multilayer perceptrons (MLPs) often capture such interactions only implicitly, lead…
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…
Enhancing Situational Awareness in ISAC Networks via Drone Swarms: A Real-World Channel Sounding Data Set
Julia Beuster, Carsten Andrich, Sebastian Giehl +6
With the upcoming capabilities of integrated sensing and communication (ISAC) and the incorporation of user equipment (UE) like unmanned aerial vehicles (UAVs) in 6G mobile network…