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Publikationen

Zeige Ergebnisse 1311 bis 1320 von 14712.
  1. 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 for Social Good (GoodIT-2024), September 4-6, Bremen, Germany, Pages 22-25, ISBN 9798400710940, ACM, 2024.

  2. 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.

  3. 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.

  4. 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.

  5. 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, 11/2024.

  6. Point-Based Weakly Supervised 2.5D Cell Segmentation

    In: Michael Wand; Kristina Malinovska; Jürgen Schmidhuber; Igor V. Tetko (Hrsg.). 33rd International Conference on Artificial Neural Networks Lugano, Switzerland, September 17–20, 2024 Proceedings, Part VIII. International Conference on Artificial Neural Networks (ICANN-2024), Springer, 2024.

  7. Simon Kohaut; Benedict Flade; Devendra Singh Dhami; Julian Eggert; Kristian Kersting

    Mission Design for Unmanned Aerial Vehicles using Hybrid Probabilistic Logic Program

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2406.03454, Pages 1-8, arXiv, 2024.

  8. Dominik Hintersdorf; Lukas Struppek; Kristian Kersting; Adam Dziedzic; Franziska Boenisch

    Finding NeMo: Localizing Neurons Responsible For Memorization in Diffusion Models

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2406.02366, Pages 1-36, arXiv, 2024.

  9. Hector Kohler; Quentin Delfosse; Riad Akrour; Kristian Kersting; Philippe Preux

    Interpretable and Editable Programmatic Tree Policies for Reinforcement Learning

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2405.14956, Pages 1-27, arXiv, 2024.

  10. Simone Tedeschi; Felix Friedrich; Patrick Schramowski; Kristian Kersting; Roberto Navigli; Huu Nguyen; Bo Li

    ALERT: A Comprehensive Benchmark for Assessing Large Language Models' Safety through Red Teaming

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2404.08676, Pages 1-17, arXiv, 2024.