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cs.AI2026
A Systematic Evaluation Protocol of Graph-Derived Signals for Tabular Machine Learning
Mario Heidrich, Jeffrey Heidemann, Rüdiger Buchkremer +1
While graph-derived signals are widely used in tabular learning, existing studies typically rely on limited experimental setups and average performance comparisons, leaving the sta…
cs.AI2025
Unraveling Media Perspectives: A Comprehensive Methodology Combining Large Language Models, Topic Modeling, Sentiment Analysis, and Ontology Learning to Analyse Media Bias
Orlando Jähde, Thorsten Weber, Rüdiger Buchkremer
Biased news reporting poses a significant threat to informed decision-making and the functioning of democracies. This study introduces a novel methodology for scalable, minimally b…