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Inna Vogel
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2020 – today
- 2024
- [c15]Shiying Fan
, Paul Moritz Ranly
Unveiling the Darkness: Analysing Organised Crime on the Wall Street Market Darknet Marketplace using PGP Public Keys. ARES 2024: 142:1-142:10 - [c14]Inna Vogel, Pauline Möhle:
Fraunhofer SIT at CheckThat! 2024: Adapter Fusion for Check-Worthiness Detection. CLEF (Working Notes) 2024: 666-671 - [c13]Inna Vogel, Pauline Möhle, Meghana Meghana, Martin Steinebach:
Adapter fusion for check-worthiness detection - combining a task adapter with a NER adapter. ROMCIR@ECIR 2024: 41-53 - [i4]Karla Schäfer, Jeong-Eun Choi, Inna Vogel, Martin Steinebach:
Unveiling the Potential of BERTopic for Multilingual Fake News Analysis - Use Case: Covid-19. CoRR abs/2407.08417 (2024) - 2023
- [c12]Raphael Antonius Frick, Inna Vogel, Jeong-Eun Choi:
Fraunhofer SIT at CheckThat!-2023: Enhancing the Detection of Multimodal and Multigenre Check-Worthiness Using Optical Character Recognition and Model Souping. CLEF (Working Notes) 2023: 337-350 - [i3]Raphael Antonius Frick, Inna Vogel:
Fraunhofer SIT at CheckThat 2023: Mixing Single-Modal Classifiers to Estimate the Check-Worthiness of Multi-Modal Tweets. CoRR abs/2307.00610 (2023) - [i2]Raphael Antonius Frick, Inna Vogel, Jeong-Eun Choi:
Fraunhofer SIT at CheckThat! 2023: Tackling Classification Uncertainty Using Model Souping on the Example of Check-Worthiness Classification. CoRR abs/2307.02377 (2023) - 2022
- [c11]Raphael Antonius Frick, Inna Vogel:
Fraunhofer SIT at CheckThat!-2022: Ensemble Similarity Estimation for Finding Previously Fact-Checked Claims. CLEF (Working Notes) 2022: 492-499 - [c10]Raphael Antonius Frick, Inna Vogel, Isabella Nunes Grieser:
Fraunhofer SIT at CheckThat!-2022: Semi-Supervised Ensemble Classification for Detecting Check-Worthy Tweets. CLEF (Working Notes) 2022: 500-510 - [c9]Inna Vogel, Tahireh Setz, Jeong-Eun Choi
Natural Language Processing (NLP) und der Datenschutz - Chancen und Risiken für den Schutz der Privatheit. GI-Jahrestagung 2022: 651-664 - 2021
- [c8]Inna Vogel, Meghana Meghana:
Profiling Hate Speech Spreaders on Twitter: SVM vs. Bi-LSTM. CLEF (Working Notes) 2021: 2193-2200 - 2020
- [c7]Inna Vogel, Meghana Meghana:
Fake News Spreader Detection on Twitter using Character N-Grams. CLEF (Working Notes) 2020 - [c6]Inna Vogel, Meghana Meghana:
Detecting Fake News Spreaders on Twitter from a Multilingual Perspective. DSAA 2020: 599-606 - [i1]Inna Vogel, Meghana Meghana:
Fake News Spreader Detection on Twitter using Character N-Grams. Notebook for PAN at CLEF 2020. CoRR abs/2009.13859 (2020)
2010 – 2019
- 2019
- [c5]Inna Vogel, Peter Jiang:
Bot and Gender Identification in Twitter using Word and Character N-Grams. CLEF (Working Notes) 2019 - [c4]Inna Vogel, Peter Jiang:
Fake News Detection with the New German Dataset "GermanFakeNC". TPDL 2019: 288-295 - [c3]Inna Vogel, Roey Regev, Martin Steinebach:
Automatisierte Analyse Radikaler Inhalte im Internet. GI-Jahrestagung 2019: 233-245 - [c2]Inna Vogel, Roey Regev:
FraunhoferSIT at GermEval 2019: Can Machines Distinguish Between Offensive Language and Hate Speech? Towards a Fine-Grained Classification. KONVENS 2019 - 2018
- [c1]Oren Halvani, Lukas Graner
Authorship Verification in the Absence of Explicit Features and Thresholds. ECIR 2018: 454-465
Coauthor Index
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last updated on 2025-01-20 23:02 CET by the dblp team
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