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Year: 2024
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Displaying results 51 to 60 of 406.

  1. Desiree Heim; Christian Jilek; Adrian Ulges; Andreas Dengel

    Using Large Language Models to Generate Authentic Multi-agent Knowledge Work Datasets

    In: INFORMATIK Proceedings 2024. GI-Informatiktage (Informatik-2024), INFORMATIK Festival 2024, September 24-26, Wiesbaden, Germany, Gesellschaft für …

  2. Jilin He; Ekaterina Borisova; Georg Rehm

    Towards a Novel Classification of Table Types in Scholarly Publications

    In: Georg Rehm; Sonja Schimmler; Stefan Dietze; Frank Krüger (Hrsg.). Proceedings of the Workshop on Natural Scientific Language Processing and …

  3. Sönke Knoch; Dirk Schöttke; Andreas Bayha

    Der Schlüssel zur erfolgreichen Digitalisierung - Entwicklung und Nutzen Digitaler Zwillinge in der Industrie 4.0

    In: Industry 4.0 Science, Vol. 40, No. 4, Pages 42-49, GITO, Berlin, 8/2024.

  4. Wolfgang Maaß; Cicy Agnes; Amin Harig

    Plan Generation from Unstructured Documents Through Transformer-Based Extraction of Knowledge Graphs

    In: Thirty-Second European Conference on Information Systems (ECIS 2024). European Conference on Information Systems (ECIS-2024), June 13-19, Paphos, …

  5. Hannes Kath; Thiago Gouvea; Daniel Sonntag

    Active and Transfer Learning for Efficient Identification of Species in Multi-Label Bioacoustic Datasets

    In: Proceedings of the 2024 International Conference on Information Technology for Social Good. ACM International Conference on Information Technology …

  6. Supreeth Mysore Venkatesh; Antonio Macaluso; Marlon Nuske; Matthias Klusch; Andreas Dengel

    Quantum Annealing-Based Algorithm for Efficient Coalition Formation Among LEO Satellites

    In: ArXiv e-prints (arxiv), Vol. arXiv:2408.06007, Pages 1-6, arXiv, 8/2024.

  7. Supreeth Mysore Venkatesh; Antonio Macaluso; Marlon Nuske; Matthias Klusch; Andreas Dengel

    Qubit-efficient Variational Quantum Algorithms for Image Segmentation

    In: ArXiv e-prints (arxiv), Vol. arXiv:2405.14405, Pages 1-7, arXiv, 2024.

  8. Sofija Engelson; Jan Ehrhardt; Timo Kepp; Joshua Niemeijer; Heinz Handels

    LNQ Challenge 2023: Learning Mediastinal Lymph Node Segmentation with a Probabilistic Lymph Node Atlas

    In: ArXiv e-prints (arxiv), Vol. arXiv:2406.03984, Pages 1-17, arXiv, 6/2024.

  9. Sabine Janzen; Prajvi Saxena; Cicy Agnes; Wolfgang Maaß

    Adaptive AI Systems in Knee Rehabilitation: Integrating Artificial Mental Models for Personalized Patient Support

    In: 13. Jahreskongress der Deutschen Kniegesellschaft. Jahreskongress der Deutschen Kniegesellschaft (DKG-2024), November 8-9, Hamburg, Germany, DKG, …

  10. Hannes Kath; Patricia P. Serafini; Ivan B. Campos; Thiago Gouvea; Daniel Sonntag

    Leveraging transfer learning and active learning for data annotation in passive acoustic monitoring of wildlife

    In: Ecological Informatics, Vol. 82, Pages 1-9, Elsevier, 2024.

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