3 papers
cs.SI2026
Quantifying correlations between information overload and fake news during COVID-19 pandemic: a Reddit study with BERT model approach
Jan Rawa, Julian Sienkiewicz
Information overload (IOL) is a well-known and devastating phenomenon that alters the performance of carrying out all types of tasks. It has been shown that in the media space, IOL…
cs.SI2025
Accumulated Local Effects and Graph Neural Networks for link prediction
Paulina Kaczyńska, Julian Sienkiewicz, Dominik Ślęzak
We investigate how Accumulated Local Effects (ALE), a model-agnostic explanation method, can be adapted to visualize the influence of node feature values in link prediction tasks u…
cs.DL2025
PreprintToPaper dataset: connecting bioRxiv preprints with journal publications
Fidan Badalova, Julian Sienkiewicz, Philipp Mayr
The PreprintToPaper dataset connects bioRxiv preprints with their corresponding journal publications, enabling large-scale analysis of the preprint-to-publication process. It compr…