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ORCIDJanina Pohl
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- affiliation: University of Münster, Germany
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2020 – today
- 2023
[j1]Jonathan Heins
, Jakob Bossek, Janina Pohl, Moritz Seiler, Heike Trautmann, Pascal Kerschke:
A study on the effects of normalized TSP features for automated algorithm selection. Theor. Comput. Sci. 940(Part): 123-145 (2023)- [c9]Johanna Klapproth, Saïd Unger, Janina Pohl, Svenja Boberg, Christian Grimme, Thorsten Quandt:
Immunize the Public against Disinformation Campaigns: Developing a Framework for Analyzing the Macrosocial Effects of Prebunking Interventions. HICSS 2023: 2411-2420 - [c8]Janina Susanne Pohl, Simon Markmann, Dennis Assenmacher, Christian Grimme:
Invasion@Ukraine: Providing and Describing a Twitter Streaming Dataset That Captures the Outbreak of War between Russia and Ukraine in 2022. ICWSM 2023: 1093-1101 - [c7]Britta Grimme, Janina Pohl, Hendrik Winkelmann, Lucas Stampe, Christian Grimme:
Lost in Transformation: Rediscovering LLM-Generated Campaigns in Social Media. MISDOOM 2023: 72-87 - [c6]Lucas Stampe, Janina Pohl, Christian Grimme:
Towards Multimodal Campaign Detection: Including Image Information in Stream Clustering to Detect Social Media Campaigns. MISDOOM 2023: 144-159 - 2022
- [c5]Janina Susanne Pohl, Dennis Assenmacher, Moritz Vinzent Seiler, Heike Trautmann, Christian Grimme:
Artificial Social Media Campaign Creation for Benchmarking and Challenging Detection Approaches. ICWSM Workshops 2022 - [c4]Christian Grimme, Janina Pohl, Stefano Cresci, Ralf Lüling, Mike Preuss:
New Automation for Social Bots: From Trivial Behavior to AI-Powered Communication. MISDOOM 2022: 79-99 - 2021
- [c3]Jonathan Heins, Jakob Bossek, Janina Pohl, Moritz Seiler, Heike Trautmann, Pascal Kerschke:
On the potential of normalized TSP features for automated algorithm selection. FOGA 2021: 7:1-7:15 - 2020
- [c2]Dennis Assenmacher, Lena Clever, Janina Susanne Pohl, Heike Trautmann, Christian Grimme:
A Two-Phase Framework for Detecting Manipulation Campaigns in Social Media. HCI (14) 2020: 201-214 - [c1]Moritz Seiler, Janina Pohl, Jakob Bossek, Pascal Kerschke, Heike Trautmann:
Deep Learning as a Competitive Feature-Free Approach for Automated Algorithm Selection on the Traveling Salesperson Problem. PPSN (1) 2020: 48-64 - [i1]Moritz Seiler, Janina Pohl, Jakob Bossek, Pascal Kerschke, Heike Trautmann:
Deep Learning as a Competitive Feature-Free Approach for Automated Algorithm Selection on the Traveling Salesperson Problem. CoRR abs/2006.15968 (2020)
Coauthor Index
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