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Publications

Displaying results 281 to 290 of 572.

  1. Sankalp Sinha; Khurram Azeem Hashmi; Alain Pagani; Marcus Liwicki; Didier Stricker; Muhammad Zeshan Afzal

    Rethinking Learnable Proposals for Graphical Object Detection in Scanned Document Images

    In: Applied Sciences, Vol. 12, No. 20, Pages 1-22, MDPI, Switzerland, 10/2022.

  2. Viktor Eisenstadt; Jessica Bielski; Burak Mete; Christoph Langenhan; Klaus-Dieter Althoff; Andreas Dengel

    Autocompletion of Floor Plans for the Early Design Phase in Architecture: Foundations, Existing Methods, and Research Outlook

    In: POST-CARBON - Proceedings of the 27th CAADRIA Conference. International Conference of the Association for Computer-Aided Architectural Design Research in Asia (CAADRIA-2022), Pages 323-332, CUMINCAD, 2022.

  3. Benjamin Paaßen; Irena Koprinska; Kalina Yacef

    Recursive tree grammar autoencoders

    In: Peggy Cellier; Krzysztof Dembczynski; Albrecht Zimmermann; Emilie Devijver (Hrsg.). Machine Learning, Vol. Special Issue of the ECML PKDD 2022 Journal Track, Pages 1-31, Springer, 2022.

  4. Maximilian Hoffmann; Ralph Bergmann

    Improving Automated Hyperparameter Optimization with Case-Based Reasoning

    In: Mark T. Keane; Nirmalie Wiratunga (Hrsg.). Case-Based Reasoning Research and Development. International Conference on Case-Based Reasoning (ICCBR), Springer, Cham, 2022.

  5. Alexander Dettmann; Malte Langosz; Jonas Eisenmenger; Marc Otto; Sebastian Kasperski; Malte Wirkus; Nayari Lessa

    Ground Interaction Models for Increased Autonomy of Planetary Exploration Systems

    In: 13th EASN International Conference on Innovation in Aviation & Space for opening New Horizons (13th EASN 2023). EASN International Conference on Innovation in Aviation and Space for opening New Horizons, September 5-8, Salerno, Italy, Journal of Physics: Conference Series (JPCS), Vol. 2716, IOP Publishing Ltd, 3/2024.

  6. 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.

  7. 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.

  8. 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.

  9. Jayasankar Santhosh; Akshay Palimar Pai; Shoya Ishimaru

    Toward an Interactive Reading Experience: Deep Learning Insights and Visual Narratives of Engagement and Emotion

    In: IEEE Access (IEEE), Vol. Volume : 12, Pages 6001-6016, IEEE, 2024.

  10. Tom Vincent Slawik; Bilal Wehbe; Leif Christensen

    Deep Reinforcement Learning for Path-Following Control of an Autonomous Surface Vehicle using Domain Randomization

    In: 15th IFAC Conference on Control Applications in Marine Systems, Robotics and Vehicles, 2024. IFAC Conference on Control Applications in Marine Systems, Robotics, and Vehicles (CAMS-2024), September 3-5, Blacksburg, Virginia, USA, n.n. 9/2024.

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