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Publications

Displaying results 131 to 140 of 15061.

  1. Vinit Vikas Hegiste; Snehal Walunj; Jibinraj Antony; Tatjana Legler; Martin Ruskowski

    Enhancing Object Detection with Hybrid dataset in Manufacturing Environments: Comparing Federated Learning to Conventional Techniques

    In: 2024 1st International Conference on Innovative Engineering Sciences and Technological Research (ICIESTR). International Conference on Innovative Engineering Sciences and Technological Research (ICIESTR-2024), May 14-15, Muscat, Oman, Pages 1-6, ISBN 979-8-3503-4863-7, IEEE, 2024.

  2. Gregor Duwe; Dominique Mercier; Verena Kauth; Kerstin Moench; Markus Junker; Juan Pablo Vesga; Werner Seiz; Juergen Scheele; Andreas Dengel; Axel Haferkamp; Thomas Höfner

    First preliminary results of artificial intelligence generated treatment recommendations for urothelial cancer based on multidisciplinary cancer conferences from the KITTU project

    In: Annals of Oncology, Vol. 35, No. S2, Pages 1161-1161, ESMO, 9/2024.

  3. Gregor Duwe; Verena Kauth; Kerstin Moench; Dominique Mercier; Markus Junker; Juergen Scheele; Werner Seiz; Oliver Pfante; Juan Pablo Vesga Simmins; Natasja De Bruin; Axel Haferkamp; Andreas Dengel; Thomas Höfner

    KITTU: Artificial intelligence supports multidisciplinary cancer conferences – first steps towards revolutionizing clinical decision making in oncology

    In: Reinhard Büttner (Hrsg.). Oncology Research and Treatment, Vol. 47, No. Supl. 1 - 36. Deutscher Krebskongress - Fortschritt gemeinsam gestalten, Pages 20-20, Karger Publishers, 2/2024.

  4. Oliver Zielinski; Christiane Plociennik; Sebastian Vollmer

    Mit KI an der Stellschraube Nachhaltigkeit drehen

    In: Nachhaltige Industrie, Vol. 3, No. 1, Pages 10-15, Springer Fachmedien Wiesbaden Wiesbaden, 2022.

  5. Ho Minh Duy Nguyen; An T. Le; Trung Q. Nguyen; Nghiem T. Diep; Tai Nguyen; Duy Duong-Tran; Jan Peters; Li Shen; Mathias Niepert; Daniel Sonntag

    Dude: Dual Distribution-Aware Context Prompt Learning For Large Vision-Language Model

    In: The 16th Asian Conference on Machine Learning. Asian Conference on Machine Learning (ACML-2024), December 5-8, Proceedings of Machine Learning Research, 2025.

  6. Hoai-Chau Tran; Ho Minh Duy Nguyen; Duy M. Nguyen; TrungTin Nguyen; Ngan Le; Pengtao Xie; Daniel Sonntag; James Zou; Binh T. Nguyen; Mathias Niepert

    Accelerating Transformers with Spectrum-Preserving Token Merging

    In: The Thirty-Eighth Annual Conference on Neural Information Processing Systems. Neural Information Processing Systems (NeurIPS-2024), December 10-15, Canada, JMLR.org, 2024.

  7. Max Bramer; Frederic Theodor Stahl (Hrsg.)

    44th SGAI International Conference on Artificial Intelligence, AI 2024, Cambridge, UK, December 17–19, 2024, Proceedings, Part I

    SGAI International Conference on Artificial Intelligence (AI-2024), December 17-19, Cambridge, LNAI (LNAI), Vol. 15446, Springer Nature Switzerland, Cham, 11/2024.

  8. Daniel Sonntag

    Computational Sustainability and Technology (CST)

    Deutsches Forschungszentrum für Künstliche Intelligenz GmbH, Technical Note, 2025.

  9. Sheikh Faisal Rashid; Pascal Hürten; Insa Reichow; Lutz Goertz

    Learning Resources Metadata: Opportunities and Challenges in the German “Innovationswettbewerb INVITE” Program

    In: International Conference on Dublin Core and Metadata Applications. International Conference on Dublin Core and Metadata Applications (DCMI-2024), October 20-23, Toronto, Canada, DCMI, 2024.

  10. Philipp Richard; Satyam Uttamkumar Dudhagara; Leonhard Kunz; Christiane Plociennik; Martin Ruskowski

    Autonomous mobile robot search strategy for automated compressed air leakage detection

    In: Maike Klein; Daniel Krupka; Cornelia Winter; Martin Gergeleit; Ludger Martin (Hrsg.). INFORMATIK 2024. Pages 1099-1111, ISBN 978-3-88579-746-3, Gesellschaft für Informatik e.V. Bonn, 2024.

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