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Publications

Displaying results 131 to 140 of 661.

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. Arnab Das; Carlos Franzreb; Tim Polzehl; Sebastian Möller

    Exploring Foundation Model Fusion Effectiveness and Explainability for Stylistic Analysis of Emotional Podcast Data

    In: Advances in Information and Communication. Future of Information and Communication Conference (FICC-2025), located at FICC-2025, March 4-5, Berlin, Germany, Springer Nature, Switzerland, 2025.

  6. Elnaz Azmi; Khadijeh Alibabaei; Valentin Kozlov; Tjerk Krijger; Gabriele Accarino; Igor Ruiz Atake; Sakina-Dorothée Ayata; Amanda Calatrava; Marco Mariano De Carlo; Wout Decrop; Donatello Elia; Sandro Luigi Fiore; Marco Francescangeli; Jesús Soriano-González; Jean-Olivier Irisson; Martin Laviale; Rune Lagaisse; Antoine Lebeaud; Carolin Leluschko; Germán Moltó; Antonio Augusto Sepp Neves; Enoc Martinez; Damian Smyth; Muhammad Arabi Tayyab; Vanessa Tosello; Alvaro Lopez Garcia; Dick Schaap; Gergely Sipos

    Best practices for AI-based image analysis applications in aquatic sciences: The iMagine case study

    In: Ecological Informatics, Vol. 91, Pages 1-37, Elsevier, Amsterdam, 7/2025.

  7. Dinh Nam Pham; Eleftherios Avramidis

    The Importance of Facial Features in Vision-based Sign Language Recognition: Eyes, Mouth or Full Face?

    In: ACM International Conference on Intelligent Virtual Agents (IVA Adjunct ’25). International Workshop on Sign Language Translation and Avatar Technology (SLTAT-2025), 9th International Workshop on Sign Language Translation and Avatar Technology, located at IVA-2025, September 16, Berlin, Germany, ISBN 979-8-4007-1996-7/25/09, ACM, 9/2025.

  8. Francisco Mena; Diego Arenas; Andreas Dengel

    In the search for optimal multi-view learning models for crop classification with global remote sensing data

    In: International Journal of Applied Earth Observation and Geoinformation (JAG), Vol. 143, Pages 0-15, Elsevier, Empowering Smart and Sustainable Agriculture with , 9/2025.

  9. Alexander Michael Rombach; Peter Fettke

    Deep Learning Based Key Information Extraction from Business Documents: Systematic Literature Review

    In: ACM Computing Surveys (CSUR), Vol. 58, No. 2, Pages 1-37, Association for Computing Machinery, New York, NY, USA, 2025.

  10. David Dembinsky; Adriano Lucieri; Stanislav Frolov; Hiba Najjar; Ko Watanabe; Andreas Dengel

    Unifying VXAI: A Systematic Review and Framework for the Evaluation of Explainable AI

    In: Transactions on Machine Learning Research (TMLR), 1/2026.

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