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Publications

Displaying results 411 to 420 of 571.

  1. Siddhant Shete; Raúl Domínguez; Ravisankar Selvaraju; Mariela De Lucas Alvarez; Frank Kirchner

    Prediction-Based Tip Over Prevention for Planetary Exploration Rovers

    In: Spiros Pantelakis; Andreas Strohmayer; Nikolaos Michailidis (Hrsg.). 14th EASN International Conference. EASN International Conference on Innovation in Aviation and Space for opening New Horizons, Innovation in Aviation & Space towards sustainability today & tomorrow, October 8-11, Thessaloniki, Greece, Engineering Proceedings Journal (Eng. Proc. 2025), Vol. 90(1), No. 44, MDPI, Thessaloniki, Greece, 3/2025.

  2. Jan-Tilman Seipp; David Reuschenberg; Eren Özveren; Matthias Meyer; Felix Köhler; Leonhard Hennig; David Harbecke; Phuc Tran Truong

    Deep Learning-based Text Mining for Technology Monitoring in the Automotive Domain

    In: Proceedings of GTM 2024. Global TechMining Conference, September 16-17, Berlin, Germany, Global TechMining Conference, 2024.

  3. Ho Minh Duy Nguyen; Hasan Md Tusfiqur Alam; Tai Nguyen; Devansh Srivastav; Hans-Jürgen Profitlich; Ngan Le; Daniel Sonntag

    Deep Learning for Ophthalmology - The State-of-the-Art and Future Trends

    DFKI, DFKI Research Reports (RR), Vol. 01, 2024.

  4. Niharika Hegde; Shishir Muralidhara; René Schuster; Didier Stricker

    Modality-Incremental Learning with Disjoint Relevance Mapping Networks for Image-based Semantic Segmentation

    In: IEEE Winter Conference on Applications of Computer Vision. IEEE Winter Conference on Applications of Computer Vision (WACV-2025), February 28 - March 4, Tucson, AZ, USA, IEEE, 2025.

  5. Dayananda Herurkar; Federico Raue; Andreas Dengel

    Tab-Distillation: Impacts of Dataset Distillation on Tabular Data For Outlier Detection

    In: Association for Computing Machinery (ACM) (Hrsg.). Proceedings of the 5th ACM International Conference on AI in Finance. International Conference on AI in Finance (ICAIF-2024), ICAIF '24, located at ICAIF, November 14-17, Brooklyn, New York, New York, USA, Pages 804-812, Proceedings of the 5th ACM International Conference on AI in Finance (ICAIF '24), No. 9, ISBN 9798400710810, Association for Computing Machinery, New York, NY, USA, 11/2024.

  6. Nabeel Khalid; Maria Caroprese; Gillian Lovell; Daniel A Porto; Johan Trygg; Andreas Dengel; Sheraz Ahmed

    Bounding Box is all you need: Learning to Segment Cells in 2D Microscopic Images via Box Annotations

    In: 28th UK Conference on Medical Image Understanding and Analysis - MIUA. Medical Image Understanding and Analysis (MIUA-2024), Spriner Nature, 8/2024.

  7. Nabeel Khalid; Mohammadmahdi Koochali; Duway Nicolas Lesmes Leon; Maria Caroprese; Gillian Lovell; Daniel A Porto; Johan Trygg; Andreas Dengel; Sheraz Ahmed

    CellGenie: An end-to-end Pipeline for Synthetic Cellular Data Generation and Segmentation: A Use Case for Cell Segmentation in Microscopic Images

    In: 28th UK Conference on Medical Image Understanding and Analysis - MIUA. Medical Image Understanding and Analysis (MIUA-2024), Spriner Nature, 8/2024.

  8. Nabeel Khalid; Maria Caropresse; Gillian Lovell; Andreas Dengel; Sheraz Ahmed

    CellSpot: Deep Learning-Based Efficient Cell Center Detection in Microscopic Images

    In: 33rd International Conference on Artificial Neural Networks ICANN. International Conference on Artificial Neural Networks (ICANN-2024), September 17-20, Lugano, Switzerland, Springer Nature, Switzerland, 9/2024.

  9. Tristan Schneider; Matheus V. A. Pedrosa; Timo P. Gros; Verena Wolf; Kathrin Flaßkamp

    Motion Primitives as the Action Space of Deep Q-Learning for Planning in Autonomous Driving

    In: IEEE Transactions on Intelligent Transportation Systems, Vol. 25, No. 11, Pages 17852-17864, IEEE, 9/2024.

  10. Timo P. Gros; Nicola Müller; Daniel Höller; Verena Wolf

    Safe Reinforcement Learning Through Regret and State Restorations in Evaluation Stages

    In: Workshop on Reliable Data-Driven Planning and Scheduling. International Conference on Automated Planning and Scheduling (ICAPS-2024), Springer, 2024.

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