Jeong-Eun Choi

13 papers A 1B 2Misc 1Journal 2Unranked 7
YearRankTypeTitle / Venue / Authors
2025 — conf
Audio Deepfake Detection Under Post-Processing Attack.
EUSIPCO
Karla Schäfer, Jeong-Eun Choi, Martin Steinebach
2025 B conf
Disinformation Analysis on Telegram: A Metadata-Centered, Privacy-Aware Dataset.
IEEE Big Data
Jeong-Eun Choi, Karla Schäfer, York Yannikos, Martin Steinebach
2025 Misc conf
The Sound of Language: A Bilingual Analysis of Voice Conversion and Text-to-Speech Synthesis.
ICASSP
Jeong-Eun Choi, Karla Schäfer, Martin Steinebach
2025 B conf
Towards Interpretable Suicide Risk Prediction: A Hybrid Approach with Feature Extraction and Sequential Binary Classification.
IEEE Big Data
Jeong-Eun Choi, Shiying Fan
2024 — conf
Comparative Analysis of Voice Conversion in German.
ICPR (22)
Karla Schäfer, Jeong-Eun Choi, Martin Steinebach
2024 — conf
Explore the World of Audio Deepfakes: A Guide to Detection Techniques for Non-Experts.
MAD@ICMR
Karla Schäfer, Jeong-Eun Choi, Sascha Zmudzinski
2024 — conf
Introduction to Audio Deepfake Generation: Academic Insights for Non-Experts.
MAD@ICMR
Jeong-Eun Choi, Karla Schäfer, Sascha Zmudzinski
2024 A conf
Scientific Appearance in Telegram.
ICWSM
Jeong-Eun Choi, Karla Schäfer, York Yannikos
2024 J jnl
Unveiling the Potential of BERTopic for Multilingual Fake News Analysis - Use Case: Covid-19.
CoRR
Karla Schäfer, Jeong-Eun Choi, Inna Vogel, Martin Steinebach
2023 J jnl
Fraunhofer SIT at CheckThat! 2023: Tackling Classification Uncertainty Using Model Souping on the Example of Check-Worthiness Classification.
CoRR
Raphael Antonius Frick, Inna Vogel, Jeong-Eun Choi
2023 — conf
Fraunhofer SIT at CheckThat!-2023: Enhancing the Detection of Multimodal and Multigenre Check-Worthiness Using Optical Character Recognition and Model Souping.
CLEF (Working Notes)
Raphael Antonius Frick, Inna Vogel, Jeong-Eun Choi
2023 — conf
Transparency in Messengers: A Metadata Analysis Based on the Example of Telegram.
HT
Karla Schäfer, Jeong-Eun Choi
2022 — conf
Natural Language Processing (NLP) und der Datenschutz - Chancen und Risiken für den Schutz der Privatheit.
GI-Jahrestagung
Inna Vogel, Tahireh Setz, Jeong-Eun Choi, Martin Steinebach