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Publikationen

Zeige Ergebnisse 1091 bis 1100 von 14763.

  1. Jonas Seng; Fabian Kalter; Zhongjie Yu; Fabrizio Ventola; Kristian Kersting

    Bi-Level One-Shot Architecture Search for Probabilistic Time Series Forecasting

    In: Katharina Eggensperger; Roman Garnett; Joaquin Vanschoren; Marius Lindauer; Jacob R. Gardner (Hrsg.). International Conference on Automated Machine Learning, 9-12 September 2024, Sorbonne Université, Paris, France. International Conference on Machine Learning (ICML), Pages 10/1-20, Proceedings of Machine Learning Research, Vol. 256, PMLR, 2024.

  2. Hikaru Shindo; Manuel Brack; Gopika Sudhakaran; Devendra Singh Dhami; Patrick Schramowski; Kristian Kersting

    DeiSAM: Segment Anything with Deictic Prompting

    In: Proceedings of the 38th Conference on Neural Information Processing Systems. Neural Information Processing Systems (NeurIPS-2024), Advances in Neural Information Processing Systems, 2024.

  3. Dominik Hintersdorf; Lukas Struppek; Daniel Neider; Kristian Kersting

    Defending Our Privacy with Backdoors

    In: ECAI 2024. European Conference on Artificial Intelligence (ECAI-2024), 27th European Conference on Artificial Intelligence, October 19-24, Santiago de Compostela, Spain, Vol. 392, ISBN 978-1-64368-548-9, IOS Press, 10/2024.

  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. 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.

  6. 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.

  7. 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.

  8. 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.

  9. Tobias Christian Nauen; Sebastian Palacio; Andreas Dengel

    TaylorShift: Shifting the Complexity of Self-Attention from Squared to Linear (and Back) using Taylor-Softmax

    In: Apostolos Antonacopoulos; Subhasis Chaudhuri; Rama Chellappa; Cheng-Lin Liu; Saumik Bhattacharya; Umapada Pal (Hrsg.). Pattern Recognition. International Conference on Pattern Recognition (ICPR-2024), December 1-5, Kolkata, India, India, Pages 1-16, ISBN 978-3-031-78172-8, Springer Nature Switzerland, Switzerland, 12/2024.

  10. Joscha Grüger

    Process Mining for Healthcare: Discover Beyond Discovery

    PhD-Thesis, Universität Trier, 2024.

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