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  1. Robert Belanec; Simon Ostermann; Ivan Srba; Marie Bielikova

    Task prompt vectors: Effective initialization through multi-task soft prompt transfer

    In: Machine Learning and Knowledge Discovery in Databases. Research Track and Applied Data Science Track. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD-2025), September 15-19, Porto, Portugal, Pages 77-94, Lecture Notes in Computer Science (LNAI), Vol. 16020, Springer, Berlin, Heidelberg, 10/2025.

  2. Simon Ostermann; Badr M Abdullah; Yusser Al Ghussin; Zena al-Khalili; Ömer Tarik Özyilmaz; Matias Valdenegro-Toro; Dietrich Klakow

    Saarland-Groningen at NADI 2025 Shared Task: Effective Dialectal Arabic Speech Processing under Data Constraints

    In: Proceedings of The Third Arabic Natural Language Processing Conference: Shared Tasks. Arabic Natural Language Processing Conference (ArabicNLP-2025), November 8-9, Suzhou, China, Pages 745-751, ISBN 979-8-89176-356-2, Association for Computational Linguistics, 11/2025.

  3. Malte Högemann; Laura Hein; Jan-Oliver Britsche; Oliver Thomas

    Technostress and generative AI in the workplace: a qualitative analysis of young professionals

    In: Frontiers in Artificial Intelligence, Vol. Volume 8 - 2025, No. 1728881, Pages 1-13, Frontiers Media SA, Lausanne, 2025.

  4. Malte Högemann; Jonas Betke; Oliver Thomas

    What you see is not what you get anymore: a mixed-methods approach on human perception of AI-generated images

    In: Frontiers in Artificial Intelligence, Vol. Volume 8 - 2025, No. 1707336, Pages 1-14, Frontiers Media SA, Lausanne, 2025.

  5. Tobias Mahl; Sarah Rübel; Cai Hussung; Christian Köhler

    Geschäftsmodellinnovation in digitalen Ökosystemen - Ein Use-Case aus dem Bereich des E-Learnings im Kontext der beruflichen Weiterbildung

    In: Daniel Schallmo; Jens Uwe Pätzmann; Thomas Clauß; Verena Mattes. Entrepreneurship im digitalen Zeitalter - Fallstudien, Ansätze und Tools für Ökosysteme, Geschäftsmodelle und Technologien. Chapter 7, Geschäftsmodellinnovation in digitalen Ökosystemen, Pages 179-198, Schwerpunkt Business Model Innovation, ISBN 978-3-658-46409-7, Springer Gabler, Wiesbaden, 8/2025.

  6. Caroline v. Dresky; Claus von der Burchard; Julia Andresen; Marc Steffen Seibel; Marc Rowedder; Timo Kepp; Johann Roider; Heinz Handels

    Visual acuity assessment from optical coherence tomography images using the foundation model RETFound

    In: Medical Imaging 2025: Computer-Aided Diagnosis. SPIE Medical Imaging (SPIE-2025), San Diego, United States, Vol. 13407, SPIE, 2025.

  7. Rolf Drechsler; Christina Plump; Bernhard Berger

    Explanation in Bio-inspired Computing: Towards Understanding of AI Systems

    In: Proceedings of the 1st International Conference on Artificial Intelligence for Computing, Astronomy, and Renewable Energy (AICARE). International Conference on Artificial Intelligence for Computing, Astronomy, and Renewable Energy (AICARE-2025), November 21-22, Kolkata, India, IEEE Xplore, 2025.

  8. Ruidi Qiu; Yalin Zhang; Rolf Drechsler; Tsungyi Ho; Ulf Schlichtmann; Bing Li

    ConfiBench: Automatic Testbench Generation with Confidence-Based Scenario Mask and Testbench Ensemble using LLMs for HDL Design

    In: ACM Transactions on Design Automation of Electronic Systems (TODAES), ACM, 2025.

  9. Natalia Piaseczna; Rafal Doniec; Konrad Duraj; Szymon Sieciński; Marek Jędrychowski; Ewaryst Tkacz; Marcin Grzegorzek

    Distinguishing Drivers with Smart Glasses Data and Deep Neural Network

    In: Ireneusz Czarnowski; Marek Jasiński (Hrsg.). IEEE EUROCON 2025 - 21st International Conference on Smart Technologies. IEEE International Conference on Smart Technologies (EUROCON-2025), June 4-6, Gdynia, Poland, Pages 1-6, Institute of Electrical and Electronics Engineers, 6/2025.

  10. Yuzhou Wang; Xiaojie Li; Frank Kulwa; Xiaoyan Li; Shuochen Tai; Shuaiyi Tian; Kunyang Teng; Marcin Grzegorzek; Xinyu Huang; Tao Jiang; Chen Li

    A Microscopic Image Processing Platform for Multi-class Cell Segmentation Using Deep Learning

    In: Intelligent Medicine, Vol. not yet assigned, Page not yet assigned, Elsevier, 9/2025.

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