1 citations · 1 across the 2 of their papers we have counts for
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.DL2026★ 1 cited
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…
cs.SI2025
Accumulated Local Effects and Graph Neural Networks for link prediction
Paulina KaczyÅska, Julian Sienkiewicz, Dominik ÅlÄzak
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…