| NLP as an essential ingredient of effective OSINT frameworks S Noubours, A Pritzkau, U Schade 2013 Military Communications and Information Systems Conference, 1-7, 2013 | 16 | 2013 |
| Time‐Adaptive Lines for the Interactive Visualization of Unsteady Flow Data Sets N Cuntz, A Pritzkau, A Kolb Computer Graphics Forum 28 (8), 2165-2175, 2009 | 13 | 2009 |
| NLytics at CheckThat! 2021: Multi-class fake news detection of news articles and domain identification with RoBERTa-a baseline model. A Pritzkau CLEF (Working Notes), 572-581, 2021 | 12 | 2021 |
| Visualizing dimensionality reduction of systems biology data A Lehrmann, M Huber, AC Polatkan, A Pritzkau, K Nieselt Data Mining and Knowledge Discovery 27, 146-165, 2013 | 11 | 2013 |
| NLytics at CheckThat!-2022: Hierarchical multi-class fake news detection of news articles exploiting the topic structure. A Pritzkau, O Blanc, M Geierhos, U Schade CLEF (Working Notes), 629-648, 2022 | 8 | 2022 |
| CODE at CheckThat!-2022: Multi-class fake news detection of news articles with BERT. O Blanc, A Pritzkau, U Schade, M Geierhos CLEF (Working Notes), 444-455, 2022 | 7 | 2022 |
| Finding a line between trusted and untrusted information on tweets through sequence classification A Pritzkau, S Winandy, T Krumbiegel 2021 International Conference on Military Communication and Information …, 2021 | 7 | 2021 |
| On-demand creation of procedural cities M Banf, M Barth, H Schulze, J Koch, A Pritzkau, M Schmidt, A Daraban, ... Proc. Game Entertain. Technol, 2010 | 6 | 2010 |
| NLytics at CheckThat! 2021: Check-Worthiness Estimation as a Regression Problem on Transformers. A Pritzkau CLEF (Working Notes), 592-602, 2021 | 5 | 2021 |
| Vorsicht: mögliche „Fake News “–ein technischer Ansatz zur frühen Erkennung A Pritzkau, U Schade Wahrheit und Fake im postfaktisch-digitalen Zeitalter: Distinktionen in den …, 2021 | 5 | 2021 |
| NLytics at CheckThat! 2021: Detecting Previously Fact-Checked Claims by Measuring Semantic Similarity. A Pritzkau CLEF (Working Notes), 582-591, 2021 | 3 | 2021 |
| Gaming Technology in Cultural Heritage Systems. T Horz, A Pritzkau, C Rezk-Salama, S Todt, A Kolb GAMEON, 147-151, 2007 | 3 | 2007 |
| NLyticsFKIE at SemEval-2021 Task 6: Detection of persuasion techniques in texts and images A Pritzkau Proceedings of the 15th International Workshop on Semantic Evaluation …, 2021 | 2 | 2021 |
| Prebunking als Möglichkeit zur Resilienzsteigerung gegenüber Falschinformationen in Onlinemedien U Schade, F Meißner, A Pritzkau, S Verschitz | 2 | 2021 |
| Aktualisierung und Anpassung von E-Learning Content auf der Basis von XML A Pritzkau Technischer Bericht, Didaktik der Informatik und E-Learning, Universität …, 2003 | 2 | 2003 |
| Nl4ia at semeval-2023 task 3: A comparison of sequence classification and token classification to detect persuasive techniques A Pritzkau Proceedings of the 17th International Workshop on Semantic Evaluation …, 2023 | 1 | 2023 |
| Conflict monitoring S Kent, T Krumbiegel, A Pritzkau, HC Schmitz Artificial Intelligence, Machine Learning and Big Data for Hybrid Military …, 2021 | 1 | 2021 |
| Information Space Dashboard T Krumbiegel, A Pritzkau, HC Schmitz Proceedings for the First International Workshop on Social Threats in Online …, 2020 | 1 | 2020 |
| Sense-making for intelligence analysis on social media data A Pritzkau Next-Generation Analyst IV 9851, 179-186, 2016 | 1 | 2016 |
| Caution: Possible “Fake News”–A Technical Approach for Early Detection A Pritzkau, U Schade Truth and Fake in the Post-Factual Digital Age: Distinctions in the …, 2023 | | 2023 |
