90 citations · 108 across the 10 of their papers we have counts for
20 papers
On the Prediction Instability of Graph Neural Networks
Max Klabunde, Florian Lemmerich
Instability of trained models, i.e., the dependence of individual node predictions on random factors, can affect reproducibility, reliability, and trust in machine learning systems…
Updating Embeddings for Dynamic Knowledge Graphs
Christopher Wewer, Florian Lemmerich, Michael Cochez
Data in Knowledge Graphs often represents part of the current state of the real world. Thus, to stay up-to-date the graph data needs to be updated frequently. To utilize informatio…
Redescription Model Mining
Felix I. Stamm, Martin Becker, Markus Strohmaier +1
This paper introduces Redescription Model Mining, a novel approach to identify interpretable patterns across two datasets that share only a subset of attributes and have no common…
Surfacing Estimation Uncertainty in the Decay Parameters of Hawkes Processes with Exponential Kernels
Tiago Santos, Florian Lemmerich, Denis Helic
As a tool for capturing irregular temporal dependencies (rather than resorting to binning temporal observations to construct time series), Hawkes processes with exponential decay h…
The FairCeptron: A Framework for Measuring Human Perceptions of Algorithmic Fairness
Georg Ahnert, Ivan Smirnov, Florian Lemmerich +2
Measures of algorithmic fairness often do not account for human perceptions of fairness that can substantially vary between different sociodemographics and stakeholders. The FairCe…
Volunteer contributions to Wikipedia increased during COVID-19 mobility restrictions
Thorsten Ruprechter, Manoel Horta Ribeiro, Tiago Santos +4
Wikipedia, the largest encyclopedia ever created, is a global initiative driven by volunteer contributions. When the COVID-19 pandemic broke out and mobility restrictions ensued ac…