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Publications

Displaying results 221 to 230 of 681.

  1. Liane Vogel; Carsten Binnig

    WikiDBs: A Corpus of Relational Databases From Wikidata

    In: Rajesh Bordawekar; Cinzia Cappiello; Vasilis Efthymiou; Lisa Ehrlinger; Vijay Gadepally; Sainyam Galhotra; Sandra Geisler; Sven Groppe; Le Gruenwald; Alon Y. Halevy; Hazar Harmouch; Oktie Hassanzadeh; Ihab F. Ilyas; Ernesto Jiménez-Ruiz; Sanjay Krishnan; Tirthankar Lahiri; Guoliang Li; Jiaheng Lu; Wolfgang Mauerer; Umar Farooq Minhas; Felix Naumann; M. Tamer Özsu; El Kindi Rezig; Kavitha Srinivas; Michael Stonebraker; Satyanarayana R. Valluri; Maria-Esther Vidal; Haixun Wang; Jiannan Wang; Yingjun Wu; Xun Xue; Mohamed Zaït; Kai Zeng (Hrsg.). Joint Proceedings of Workshops at the 49th International Conference on Very Large Data Bases (VLDB 2023). International Conference on Very Large Data Bases (VLDB), August 28 - September 1, Vancouver, Canada, CEUR Workshop Proceedings, Vol. 3462, CEUR-WS.org, 2023.

  2. Noshaba Cheema; Rui Xu; Nam Hee Kim; Perttu Hämäläinen; Vladislav Goliyanik; Marc Habermann; Christian Theobalt; Philipp Slusallek

    Discovering Fatigued Movements for Virtual Character Animation

    In: Conference Papers. ACM SiggraphAsia (SigAsia-2023), December 12-15, Sydney, Australia, ISBN 979-8-4007-0315-7/23/12, ACM, 2023.

  3. Snehal Walunj; Parsha Pahlevannejad; Michael Sintek; Juan Carlos Saborio; Prerna Garg; Hooman Tavakoli Ghinani; Christiane Plociennik; Nicolas Grossmann; Ansgar Bernardi; Martin Ruskowski; Joachim Hertzberg; Andreas Dengel

    Context-Aware Robotic Assistance for Workers Using Intention Recognition and Semantic Digital Twin

    In: Dhananjay Singh; Jan-Willem van 't Klooster; Uma Shanker Tiwary (Hrsg.). Intelligent Human Computer Interaction. IADIS International Conference on Interfaces and Human Computer Interaction (IHCI-2024), May 29, Cham, Pages 92-104, ISBN 978-3-031-88705-5, Springer Nature Switzerland, 5/2025.

  4. Luis Octavio Arriaga Camargo; Rebecca Adam; Melvin Laux; Lisa Gutzeit; Marco Ragni; Jan Peters; Frank Kirchner

    Bayesian Inverse Physics for Neuro-Symbolic Robot Learning

    In: Leilani Gilpin; Eleonora Giunchiglia; Pascal Hitzler; Emile van Krieken (Hrsg.). Neurosymbolic Artificial Intelligence, Pages 1-19, IOS Press, 2025.

  5. Aliki Anagnostopoulou; Sara-Jane Bittner; Lavanya Govindaraju; Hasan Md Tusfiqur Alam; Daniel Sonntag

    Personalised and Contextualised Image Captioning: Human-in-the-Loop Design and Evaluation

    In: Mensch und Computer 2025 - Workshopband. Mensch und Computer (MuC-2025), MCI-WS04: ABIS 2025 - International Workshop on Personalization and Recommendation, August 31 - September 3, Chemnitz, Germany, Gesellschaft für Informatik e.V. 2025.

  6. Aliki Anagnostopoulou; Sara-Jane Bittner; Lavanya Govindaraju; Hasan Md Tusfiqur Alam; Daniel Sonntag

    CUTIE: A human-in-the-loop interface for the generation of personalised and contextualised image captions

    In: Mensch und Computer 2025 - Workshopband. Mensch und Computer (MuC-2025), MCI-WS04: ABIS 2025 - International Workshop on Personalization and Recommendation, August 31 - September 3, Chemnitz, Germany, Gesellschaft für Informatik e.V. 9/2025.

  7. Damun Mollahassani; Martin Becker; Andreas Emrich; Peter Fettke; Jens C. Göbel

    Generating additional Engineering Knowledge in Smart Product Value Creation Networks

    In: Dimitris Mourtzis (Hrsg.). Procedia CIRP, Vol. 136 - 35th CIRP Design 2025, Pages 630-635, Elsevier, 2025.

  8. Hannes Kath; Thiago Gouvea; Daniel Sonntag

    Speeding Up Bioacoustic Data Analysis: Fine-Tuning Deep Models with Active Learning for Efficient Wildlife Detection

    In: GoodIT '25: Proceedings of the 2025 International Conference on Information Technology for Social Good. ACM International Conference on Information Technology for Social Good (GoodIT-2025), located at GoodIT-2025, September 3-5, Antwerpen, Belgium, Association for Computing Machinery, 9/2025.

  9. Christoph Peter Balada; Aida Romano-Martinez; Vincent ten Cate; Katharina Geschke; Jonas Tesarz; Paul Claßen; Alexander K Schuster; Dativa Tibyampansha; Karl-Patrik Kresoja; Philipp S Wild; others

    Deep Learning for Cardiovascular Risk Assessment: Proxy Features from Carotid Sonography as Predictors of Arterial Damage

    In: Lecture Notes in Computer Science. Medical Image Understanding and Analysis (MIUA-2025), LNCS, Springer Nature, 2025.

  10. Maximilian Hoffmann; Lukas Malburg; Ralph Bergmann

    Augmentation of Semantic Processes for Deep Learning Applications

    In: Applied Artificial Intelligence, Vol. 39, No. 1, Pages 1-48, Taylor & Francis, 2025.

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