Niklas Stoehr
Niklas Stoehr
Institute for Machine Learning, ETH Zurich
Verified email at inf.ethz.ch - Homepage
Title
Cited by
Cited by
Year
The CoRisk-Index: A data-mining approach to identify industry-specific risk assessments related to COVID-19 in real-time
F Stephany, N Stoehr, P Darius, L Neuhäuser, O Teutloff, F Braesemann
arXiv:2003.12432, 2020
21*2020
Global Networks in Collaborative Programming
F Braesemann, N Stoehr, M Graham
Taylor and Francis, 2019
62019
Disentangling Interpretable Generative Parameters of Random and Real-World Graphs
N Stoehr, M Brockschmidt, J Stuehmer, E Yilmaz
33rd Conference on Neural Information Processing Systems (NeurIPS 2019 …, 2019
32019
Measuring Proximity Between Newspapers and Political Parties: The Sentiment Political Compass
F Falck, J Marstaller, N Stoehr, S Maucher, J Ren, A Thalhammer, ...
Policy & Internet 12 (3), 367-399, 2020
22020
Mining the Automotive Industry: A Network Analysis of Corporate Positioning and Technological Trends
N Stoehr, F Braesemann, M Frommelt, S Zhou
Springer Nature (CompleNet 2020), 2020
22020
From Accuracy to Versatility: Analysing Text Classification Models Regarding Transfer Learning
N Stoehr, L Sanchez, D Gannota, F Falck
2019 Sixth International Conference on Social Networks Analysis, Management …, 2019
2019
Heatflip: Temporal-Spatial Sampling for Progressive Heat Maps on Social Media Data
N Stoehr, J Meyer, V Markl, Q Bai, T Kim, DY Chen, C Li
2018 IEEE International Conference on Big Data (Big Data), 3723-3732, 2018
2018
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