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Publications

Displaying results 211 to 220 of 682.

  1. 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.

  2. 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.

  3. 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.

  4. Katharina Hengel; Achim Wagner; Martin Ruskowski

    A Dynamic Multi-objective Scheduling Approach for Gradient-Based Reinforcement Learning

    In: 18th IFAC Symposium on Information Control Problems in Manufacturing INCOM 2024. IFAC Symposium on Information Control Problems in Manufacturing (INCOM-2024), 18th IFAC Symposium on Information Control Problems in Manufacturing, August 28-30, Vienna, Austria, Elsevier, 2024.

  5. Thomas Röfer; Tim Laue; Arne Hasselbring; Fynn Böse; Lukas Malte Monnerjahn; Kelke van Lessen

    B-Human 2023 - Object and Gesture Detection

    In: Cédric Buche; Alessandra Rossi; Marco Simões; Ubbo Visser (Hrsg.). RoboCup 2023: Robot World Cup XXVI. RoboCup International Symposium (RoboCup-2023), July 10, Bordeaux, France, Pages 395-406, Lecture Notes in Artificial Intelligence (LNAI), Vol. 14140, Springer, 2024.

  6. . (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.

  7. 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 Medicine and Biology Society (EMBC-2024), Orlando, USA, 2024.

  8. Sk Aziz Ali; Mohammad Sadil Khan; Didier Stricker

    BRep Boundary and Junction Detection for CAD Reverse Engineering

    In: Proceedings of the 3rd IEEE International Conference on Computing and Machine Intelligence. IEEE International Conference on Computing and Machine Intelligence (ICMI-2024), April 13-14, Michigan, MI, USA, IEEE, 2024.

  9. Nabeel Khalid; Anwai Archit; Luca Freckmann; Sushmita Nair; Paul Hilt; Vikas Rajashekar; Marei Freitag; Carolin Teuber; Genevieve Buckley; Sebastian von Haaren; Sagnik Gupta; Andreas Dengel; Sheraz Ahmed; Constantin Pape

    Segment Anything for Microscopy

    In: Nature, Vol. 22, Pages 579-591, Nature Methods, 2/2025.

  10. Rashmi Alur Ramachandra; Jayasankar Santhosh; Andreas Dengel; Shoya Ishimaru

    Enhancing Stress Detection for Students: Exploring the Impact of Fine-Tuning and User-Specific Data Calibration in Deep Learning

    In: International Journal of Activity and Behavior Computing, Vol. 2024, Pages 1-21, J-Stage, 2024.

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