E-LIB Suche - Ergebnisse für: Stoehr, Niklas

1

Estimating conflict losses and reporting biases:

Radford, Benjamin J. ; Dai, Yaoyao ; Stoehr, Niklas...
Proceedings of the National Academy of Sciences. 120 (2023) 34 - p. , 2023

Link: https://doi.org/10.1073/..

2

Fear-anger contests: Governmental and populist politics of ..:

Friedrichs, Jörg ; Stoehr, Niklas ; Formisano, Giuliano
Online Social Networks and Media. 32 (2022) - p. 100240 , 2022

Link: https://doi.org/10.1016/..

3

The CoRisk-Index: a data-mining approach to identify indust..:

Stephany, Fabian ; Neuhäuser, Leonie ; Stoehr, Niklas...
Humanities and Social Sciences Communications. 9 (2022) 1 - p. , 2022

Link: https://doi.org/10.1057/..

4

The CoRisk-Index

a data-mining approach to identify industry-specific risk a...

Stephany, Fabian ; Stoehr, Niklas ; Darius, Philipp.... (2020) 41 - p. 129-146

Link: https://cepr.org/file/94..

5

Mining the Automotive Industry: A Network Analysis of Corpo..:

, In: Complex Networks XI; Springer Proceedings in Complexity,

Stoehr, Niklas ; Braesemann, Fabian ; Frommelt, Michael. - p. 297-308 , 2020

Link: https://doi.org/10.1007/..

6

From Accuracy to Versatility: Analysing Text Classification..:

, In: 2019 Sixth International Conference on Social Networks Analysis, Management and Security (SNAMS),

Stoehr, Niklas ; Sanchez, Luis ; Gannota, Daniil. - p. 369-374 , 2019

Link: https://doi.org/10.1109/..

7

Global networks in collaborative programming:

Braesemann, Fabian ; Stoehr, Niklas ; Graham, Mark
Regional Studies, Regional Science. 6 (2019) 1 - p. 371-373 , 2019

Link: https://doi.org/10.1080/..

8

Measuring Proximity Between Newspapers and Political Partie..:

Falck, Fabian ; Marstaller, Julian ; Stoehr, Niklas...
Policy & Internet. 12 (2019) 3 - p. 367-399 , 2019

Link: https://doi.org/10.1002/..

9

Generalizing Backpropagation for Gradient-Based Interpretab..:

Du, Kevin ; Hennigen, Lucas Torroba ; Stoehr, Niklas..
http://arxiv.org/abs/2307.03056. , 2023

Link: http://arxiv.org/abs/230..

10

World Models for Math Story Problems:

Opedal, Andreas ; Stoehr, Niklas ; Saparov, Abulhair.
info:eu-repo/semantics/altIdentifier/doi/10.18653/v1/2023.findings-acl.579. , 2023

Link: https://hdl.handle.net/2..

11

Extracting Victim Counts from Text:

Zhong, Mian ; Dhuliawala, Shehzaad ; Stoehr, Niklas
http://arxiv.org/abs/2302.12367. , 2023

Link: http://arxiv.org/abs/230..

12

Estimating conflict losses and reporting biases:

Radford, Benjamin J ; Dai, Yaoyao ; Stoehr, Niklas...
info:eu-repo/semantics/altIdentifier/doi/10.1073/pnas.2307372120. , 2023

Link: https://hdl.handle.net/2..

13

Unsupervised Contrast-Consistent Ranking with Language Mode..:

Stoehr, Niklas ; Cheng, Pengxiang ; Wang, Jing..
http://arxiv.org/abs/2309.06991. , 2023

Link: http://arxiv.org/abs/230..

14

ACTI at EVALITA 2023: Overview of the Conspiracy Theory Ide..:

Russo, Giuseppe ; Stoehr, Niklas ; Ribeiro, Manoel Horta
http://arxiv.org/abs/2307.06954. , 2023

Link: http://arxiv.org/abs/230..

15

World Models for Math Story Problems:

Opedal, Andreas ; Stoehr, Niklas ; Saparov, Abulhair.
http://arxiv.org/abs/2306.04347. , 2023

Link: http://arxiv.org/abs/230..