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Publications

Displaying results 291 to 300 of 682.

  1. Arseny Skryagin; Felix Divo; Mohammad Amin Ali; Devendra Singh Dhami; Kristian Kersting

    Graph Neural Networks Need Cluster-Normalize-Activate Modules

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2412.04064, Pages 1-17, arXiv, 2024.

  2. Md Abdul Kadir; Gowthamkrishna Addluri; Daniel Sonntag

    Harmonizing Feature Attributions Across Deep Learning Architectures: Enhancing Interpretability and Consistency

    In: Dietmar Seipel; Alexander Steen. German Conference on Artificial Intelligence. Pages 90-97, Lecture Notes in Computer Science, ISBN 978-3-031-42607-0, Springer, Cham, 2023.

  3. Katharina Bendig; René Schuster; Didier Stricker

    ShapeAug: Occlusion Augmentation for Event Camera Data

    In: International Conference on Pattern Recognition Applications and Methods. International Conference on Pattern Recognition Applications and Methods (ICPRAM-2024), February 24-26, Rome, Italy, SCITEPRESS, 2024.

  4. Lotfy Abdel Khaliq; Sabine Janzen; Wolfgang Maaß

    REAVER: Real-time Earthquake Prediction with Attention-based Sliding-Window Spectrograms

    In: International Joint Conference on Artificial Intelligence 2024. International Joint Conference on Artificial Intelligence (IJCAI-2024), 33rd International Joint Conference on Artificial Intelligence, August 3-9, Jeju, Korea, Republic of, International Joint Conference on Artificial Intelligence, 8/2024.

  5. Neda Foroutan; Markus Schröder; Andreas Dengel

    CO-Fun: A German Dataset on Company Outsourcing in Fund Prospectuses for Named Entity Recognition and Relation Extraction

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2403.15322, Pages 1-10, arXiv, 3/2024.

  6. Timo Markert; Elias Hoerner; Sebastian Matich; Andreas Theissler; Martin Atzmueller

    Robotic Peg-in-Hole Insertion with Tight Clearances: A Force-based Deep Q-Learning Approach

    In: 2023 International Conference on Machine Learning and Applications (ICMLA). International Conference on Machine Learning and Applications (ICMLA), Pages 1045-1051, IEEE, 2023.

  7. Andreas Schliebitz; Heiko Tapken; Martin Atzmueller

    Preprocessing Ground-Based Hyperspectral Image Data for Improving CNN-based Classification

    In: Michael Leyer; Johannes Wichmann (Hrsg.). Lernen, Wissen, Daten, Analysen (LWDA) Conference Proceedings, Marburg, Germany, October 9-11, 2023. GI-Workshop-Tage "Lernen, Wissen, Daten, Analysen" (LWDA-2023), October 9-11, Marburg, Germany, Pages 399-413, CEUR Workshop Proceedings, Vol. 3630, CEUR-WS.org, 2023.

  8. Julia Mayer; Martin Memmel; Johannes Ruf; Dhruv Patel; Lena Hoff; Sascha Henninger

    Progressing towards Estimates of Local Emissions from Trees in Cities: A Transdisciplinary Framework Integrating Available Municipal Data, AI, and Citizen Science

    In: Antonio Fernández-Caballero; Nuno Alexandre Ribeiro Costa; António Pereira (Hrsg.). Applied Sciences, Vol. 14, No. 1, Page 396, MDPI, 2024.

  9. Hannes Kath; Thiago Gouvea; Daniel Sonntag

    A Deep Generative Model for Interactive Data Annotation through Direct Manipulation in Latent Space

    DFKI, DFKI Research Reports (RR), Vol. 2305.15337v1, 5/2023.

  10. Hannes Kath; Bengt Lüers; Thiago Gouvea; Daniel Sonntag

    A Virtual Reality Tool for Representing, Visualizing and Updating Deep Learning Models

    DFKI, DFKI Research Reports (RR), Vol. 2305.15353v1, 5/2023.

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