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Publikationen

Zeige Ergebnisse 1511 bis 1520 von 15123.

  1. Muhammad Muaz; Ingo Zinnikus; Mahnoor Shahid

    NILM domain adaptation: When does it work?

    In: 2024 10th International Conference on Smart Computing and Communication (ICSCC 2024). International Conference on Smart Computing and Communication (ICSCC-2024), July 25-27, Bali, Indonesia, Pages 524-528, ISBN 979-8-3503-6311-1, IEEE, 2024.

  2. Vamsi Krishna Origanti; Adrian Danzglock

    Assembly Dataset for Contact Based tasks for Learning from Demonstration

    Zenodo, 2024.

  3. Christian Alrabbaa; Stefan Borgwardt; Tom Friese; Anke Hirsch; Nina Knieriemen; Patrick Koopmann; Alisa Kovtunova; Antonio Krüger; Alexej Popovič; Ida Siahaan

    Explaining Reasoning Results for OWL Ontologies with Evee

    In: Proceedings of the 21st International Conference on Principles of Knowledge Representation and Reasoning - KR in the Wild. International Conference on Principles of Knowledge Representation and Reasoning (KR-24), November 2-8, Hanoi, Viet Nam, Pages 709-719, ISBN 978-1-956792-05-8, IJCAI Organization, 2024.

  4. Julie Gandrup; David Antony Selby; William Dixon

    Classifying self-reported rheumatoid arthritis flares using daily patient-generated data from a smartphone app: exploratory analysis applying machine learning approaches

    In: JMIR Formative Research (JMIR Form Res), Vol. 8, Page e50679, JMIR Publications, 5/2024.

  5. David Antony Selby; Kai Spriestersbach; Yuichiro Iwashita; Dennis Bappert; Archana Warrier; Sumantrak Mukherjee; Muhammad Nabeel Asim; Koichi Kise; Sebastian Vollmer

    Had enough of experts? Elicitation and evaluation of Bayesian priors from large language models

    In: NeurIPS 2024 Workshop on Bayesian Decision-making and Uncertainty. Neural Information Processing Systems (NeurIPS-2024), Workshop on Bayesian Decision-making and Uncertainty, located at NeuIPS-2024, December 14, Vancouver, BC, Canada, NeurIps Foundation, 2024.

  6. Joscha Grüger

    Process Mining for Healthcare: Discover Beyond Discovery

    PhD-Thesis, Universität Trier, 2024.

  7. Aljoscha Burchardt; Jochen Büttner; Jürgen Renn

    Zukunftsszenarien für alle

    In: Kai Gondlach; Birgit Brinkmann; Mark Brinkmann; Julia Plath. Regenerative Zukünfte und künstliche Intelligenz: Band 2: PEOPLE. Pages 271-284, ISBN 978-3-658-44852-3, Springer Fachmedien Wiesbaden, Wiesbaden, 2024.

  8. Shashank Govindaraj; Wiebke Brinkmann; Francisco Javier Colmenero; Irene Sanz Nieto; Alexandru But; Matteo De Benedetti; Leon Cedric Danter; Mercedes Alonso; Enrique Heredia; Simon Lacroix; Dominik Kleszczynski; Joseph Purnell; Kevin Picton; Nabil Aouf; Luis Lopes

    Building a Lunar Infrastructure with the Help of a Heterogeneous (Semi)Autonomous Multi-robot-Team

    In: Xiu Tian Yan; Gianfranco Visentin. Space Robotics: The State of the Art and Future Trends. Pages 395-431, ISBN 978-3-031-39214-6, Springer Nature Switzerland, Cham, 2024.

  9. Enrico Kochon; Daniel Stattkus; Simon Binz; Marian Eleks; Nils Lauinger; Philipp Fukas; Ann-Kristin Claudia Müller; Julia Knopf; Oliver Thomas

    I don't know who you are, but I know what you need: Guidelines for Federated Learning in Educational Recommender Systems

    In: Wirtschaftsinformatik 2024 Proceedings. Internationale Tagung Wirtschaftsinformatik (WI-2024), September 16-19, Würzburg, Germany, Association for Information Systems, 2024.

  10. Zhifei Li; Gerrit Großmann; Verena Wolf

    Enhancing GNNs with Architecture-Agnostic Graph Transformations: A Systematic Analysis

    In: Hocine Cherifi; Murat Donduran; Luis M. Rocha; Chantal Cherifi; Onur Varol. International Conference on Complex Networks and Their Applications. Pages 183-194, Springer Nature Switzerland, 2024.

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