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Publications

 

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Displaying results 341 to 350 of 514.

  1. . (Hrsg.)

    DeiSAM: Segment Anything with Deictic Prompting

    AAAI Workshop on Neuro-Symbolic Learning and Reasoning in the Era of Large Language Models, located at AAAI, 2024.

  2. Johannes Rust; Christian Mandel; Kathrin Stich; Serge Autexier

    Predicting Hemodynamic and Pulmonary Decompensation with Deep Neural Networks: Performance and Explainability

    In: 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. International Conference of the IEEE Engineering in …

  3. 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 …

  4. 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.

  5. 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), …

  6. Jeremy Paul Coffelt; Amos Smith; Niklas Conen; Peter Kampmann

    Segmentation of Multibeam Echosounder Bathymetry and Backscatter

    In: OCEANS 2024 Singapore. OCEANS MTS/IEEE Conference (OCEANS-2024), April 14-18, Singapore, Singapore, IEEE, 2024.

  7. Francisco Mena; Diego Arenas; Andreas Dengel

    In the Search for Optimal Multi-view Learning Models for Crop Classification with Global Remote Sensing Data

    In: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), Pages 0-`0, IEEE GRSS, 2024.

  8. Pervaiz Iqbal Khan; Adread Dengel; Sheraz Ahmed

    Medi-CAT: Contrastive Adversarial Training for Medical Image Classification

    In: Proceedings of ICAART 2024. International Conference on Agents and Artificial Intelligence (ICAART-2024), February 24-26, Rome, Italy, SCITEPRESS, …

  9. Md Abdul Kadir; Hasan Md Tusfiqur Alam; Pascale Maul; Hans-Jürgen Profitlich; Moritz Wolf; Daniel Sonntag

    Modular Deep Active Learning Framework for Image Annotation: A Technical Report for the Ophthalmo-AI Project

    3/2024.

  10. 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. …

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