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Publikationen

Zeige Ergebnisse 1451 bis 1460 von 13834.

  1. 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.

  2. 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.

  3. 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.

  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. Felix Wiebe; Shivesh Kumar; Lasse Jenning Shala; Shubham Vyas; Mahdi Javadi; Frank Kirchner

    Open Source Dual-Purpose Acrobot and Pendubot Platform: Benchmarking Control Algorithms for Underactuated Robotics

    In: IEEE Robotics & Automation Magazine, Vol. 31, No. 2, Pages 113-124, IEEE, 6/2024.

  7. Fatos Gashi; Khalil Abuibaid; Martin Ruskowski; Achim Wagner

    Model Predictive Control Based Reference Generation for Optimal Proportional Integral Derivative Control

    In: 2024 32nd Mediterranean Conference on Control and Automation (MED). Mediterranean Conference on Control and Automation (MED), Pages 518-524, IEEE Control Systems, 2024.

  8. Ilira Troshani; Thiago Gouvea; Daniel Sonntag

    Leveraging Weakly Supervised and Multiple Instance Learning for Multi-label Classification of Passive Acoustic Monitoring Data

    In: KI 2024: Advances in Artificial Intelligence. German Conference on Artificial Intelligence (KI-2024), 47th German Conference on AI, Würzburg, Germany, September 25–27, 2023, located at 47th German Conference on AI, September 25-27, Würzburg, Germany, LNAI, Springer, 2024.

  9. Charlene Röhl; Aljoscha Burchardt; Sven Schmeier; Wolfgang Wahlster; Michael Schmidt; Julius Mackowiak; Moritz Wernecke; Michael ten Hompel; Patrick Bunk; Julian Volland

    Evalitech: Eine neue Metrik zur Vergabe von Professuren für die Technikwissenschaften

    In: Manfred Löwisch; Thomas Würtenberger; Cornelia Feldmann (Hrsg.). Ordnung der Wissenschaft (OdW), Vol. 1/2024, Pages 13-24, Ordnung der Wissenschaft, Freiburg, 2024.

  10. Francisco Mena; Diego Arenas; Andreas Dengel

    Increasing the Robustness of Model Predictions to Missing Sensors in Earth Observation

    In: Proceedings of MACLEAN: MAChine Learning for EArth ObservatioN Workshop co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2024). ECML/PKDD Workshop on Machine Learning for Earth Observation (MACLEAN-24), located at ECML/PKDD 2024, September 13, Vilnius, Lithuania, Springer, 2024.

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