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Publikationen

Zeige Ergebnisse 1181 bis 1190 von 14764.

  1. Ankur Bhatt; Ko Watanabe; Jayasankar Santhosh; Andreas Dengel; Shoya Ishimaru

    Estimating Self-Confidence in Video-Based Learning Using Eye-Tracking and Deep Neural Networks

    In: IEEE Access (IEEE), Vol. 12, Pages 192219-192229, IEEE, 2024.

  2. Sylke Piéch

    KI auf Führungsebene

    In: TOYS - trade & trends, Vol. 82, No. M 8415 E, Pages 8-10, Göller Verlag GmbH, Baden Baden, 9/2024.

  3. Sylke Piéch

    Besseres Teammanagement durch KI

    In: changement! - Veränderungsprozesse aktiv und erfolgreich gestalten, Vol. 74, No. 7, Pages 24-27, Handelsblatt Media Group, Hamburg, 11/2024.

  4. Sylke Piéch

    Die Auswirkungen der künstlichen Intelligenz auf die Zukunft der Arbeit

    In: S. Basel. J.; Manchen Spörri. Angewandte Psychologie für die Wirtschaft. Pages 23-26, ISBN 978-3-662-68558-7, Springer Berlin, Heidelberg, 9/2024.

  5. Gerrit Großmann; Sumantrak Mukherjee; Sebastian Vollmer

    Peculiarities of Counterfactual Point Process Generation

    In: Jianwu Wang; Sahara Ali; Yanan Xin (Hrsg.). 32nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems. ACM SIGSPATIAL International Workshop on Spatiotemporal Causal Analysis (STCausal-2024), 1st ACM SIGSPATIAL International Workshop on Spatiotemporal Causal Analysis, located at 32nd ACM SIGSPATIAL, October 29 - November 1, Atlanta, GA, USA, ISBN 979-8-4007-1154-1/24/10, Association for Computing Machinery, New York, NY, United States, 11/2024.

  6. Alberto Acebes; Serge Autexier; Marjolein Brusse-Keizer; Agni Delvinioti; Thrasyvoulos Giannakopoulos; Christiane Grünloh; Florian Hahn; Rain Jögi; Christos Kalloniatis; Konstantina Kostopoulou; Sofoklis Kyriazakos; Kostas Lamprinoudakis; Jakob Lehmann; Danae Lekka; Anke Lenferink; Federico Mazzone; Guilio Pagliari; Stefano Patarnello; Aristodemos Pnevmatikakis; Jarno Raid; Monique Tabak; Job Van Der Palen; Gesa Wimberg

    RE-SAMPLE Platform for training and use of COPD exacerbation risk prediction models

    In: European Respiratory Journal (ERJ), Vol. 64, No. suppl 68, Page 1, ERS, 11/2024.

  7. Mohammad Hossein Rimaz; Christiane Plociennik; Martin Ruskowski

    Semantic Asset Administration Shell for Circular Economy

    Mastersthesis, Deutsches Forschungszentrum für Künstliche Intelligenz GmbH (DFKI), 2024.

  8. Jibinraj Antony; Vinit Vikas Hegiste; Ali Nazeri; Hooman Tavakoli Ghinani; Snehal Walunj; Christiane Plociennik; Martin Ruskowski

    Enhancing Object Detection Performance for Small Objects Through Synthetic Data Generation and Proportional Class-Balancing Technique: A Comparative Study in Industrial Scenarios

    In: Achim Wagner; Kosmas Alexopoulos; Sotiris Makris (Hrsg.). Advances in Artificial Intelligence in Manufacturing. European Symposium on Artificial Intelligence in Manufacturing (ESAIM-2023), Cham, Pages 90-105, ISBN 978-3-031-57496-2, Springer Nature Switzerland, 2024.

  9. 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: Steve Pieper; Erik Ziegler; Tawa Idris; Bhanusupriya Somarouthu; Reuben Dorent; Gordon Harris; Ron Kikinis (Hrsg.). Machine Learning for Biomedical Imaging (MELBA), Vol. 2, No. MICCAI 2023 LNQ challenge special issue, Pages 817-833, MELBA Journal, 5/2024.

  10. Jana-Rebecca Rehse; Sander J. J. Leemans; Peter Fettke; Jan Martijn E. M. van der Werf

    On Process Discovery Experimentation: Addressing the Need for Research Methodology in Process Discovery

    In: ACM Transactions on Software Engineering and Methodology (TOSEM), Vol. 34, No. 1, Article No.: 3, Pages 1-29, Association for Computing Machinery, New York, 2024.

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