Skip to main content Skip to main navigation

Publikationen

Zeige Ergebnisse 1341 bis 1350 von 11344.

  1. Hannes Kath; Thiago Gouvea; Daniel Sonntag

    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. Nghia Duong-Trung; Xia Wang; Milos Kravcik

    BloomLLM: Large Language Models Based Question Generation Combining Supervised Fine-Tuning and Bloom’s Taxonomy

    In: Rafael Ferreira Mello; Nikol Rummel; Ioana Jivet; Gerti Pishtari; José A. Ruipérez Valiente (Hrsg.). Technology Enhanced Learning for Inclusive and Equitable Quality Education. European Conference on Technology Enhanced Learning (EC-TEL-2024), 19th European Conference on Technology Enhanced Learning, September 16-20, Krems, Austria, Pages 93-98, Lecture Notes in Computer Science (LNCS), Vol. 15160, ISBN 978-3-031-72311-7, Springer, Cham, 9/2024.

  4. Fabian Schmeisser; Andreas Dengel; Sheraz Ahmed

    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.

  5. 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.

  6. 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.

  7. Quentin Delfosse; Jannis Blüml; Bjarne Gregori; Kristian Kersting

    HackAtari: Atari Learning Environments for Robust and Continual Reinforcement Learning

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2406.03997, Pages 1-32, arXiv, 2024.

  8. 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.

  9. 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.

  10. 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.

Jahr

Mehr Optionen