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Publications

Displaying results 111 to 120 of 571.

  1. Nijat Mehdiyev; Maxim Majlatow; Peter Fettke

    Augmenting post-hoc explanations for predictive process monitoring with uncertainty quantification via conformalized Monte Carlo dropout

    In: Data & Knowledge Engineering (DKE), Vol. 156 (March 2025), Pages 1-29, Elsevier B.V. 12/2024.

  2. Igor Vozniak; Pavel Astreika; Philipp Müller; Nils Lipp; Christian Müller; Philipp Slusallek

    HD-VoxelFlex: Flexible High-Definition Voxel Grid Representation

    In: VISIGRAPP (4): VISAPP. International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP-2024), SCITEPRESS, 2024.

  3. 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.

  4. 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.

  5. Harihara Bharathy Swaminathan; Aron Sommer; Uri Iurgel; Andreas Becker; Martin Atzmueller

    Improving Deep Learning Change Detection in Automotive Radar Maps by Data Augmentation

    In: Proceedings of the International Conference Radar. International Conference Radar (RADAR-2024), October 21-25, Rennes, France, Pages 56-61, IEEE, 2024.

  6. Alexander Michael Rombach; Johannes Lahann; Tim Niesen; Peter Fettke

    Utilizing Deep Learning for Field-Level Information Extraction from German Real Estate Tax Notices

    In: Journal of Emerging Technologies in Accounting (JETA), Vol. 22, Pages 1-18, American Accounting Association, 12/2024.

  7. Payal Varshney; Adriano Lucieri; Christoph Peter Balada; Andreas Dengel; Sheraz Ahmed

    Pattern Recognition, 27th International Conference, ICPR 2024 Kolkata, India, December 1-5, 2024 Proceedings, Part XII

    In: Apostolos Antonacopoulos; Subhasis Chaudhuri; Rama Chellappa; Cheng-Lin Liu; Saumik Bhattacharya; Umapada Pal (Hrsg.). Pattern Recognition 27th International Conference, ICPR 2024 Kolkata, India, December 1–5, 2024 Proceedings, Part XII. International Conference on Pattern Recognition (ICPR-2024), located at 27th International Conference, ICPR 2024, December 1-5, Kolkata, India, DFKI Research Reports (RR), ISBN 978-3-031-78198-8, Springer Nature Link, Cham, 12/2024.

  8. 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.

  9. Xiaoqi Li; Haoyuan Chen; Chen Li; Md Mamunur Rahaman; Xintong Li; Jian Wu; Xiaoyan Li; Hongzan Sun; Marcin Grzegorzek

    What can machine vision do for lymphatic histopathology image analysis: A comprehensive review

    In: ArXiv e-prints (arxiv), Vol. 2201.08550, arXiv, 2022.

  10. Francisco Mena; Diego Arenas; Marlon Nuske; Andreas Dengel

    Common Practices and Taxonomy in Deep Multi-view Fusion for Remote Sensing Applications

    In: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), Vol. 17, Pages 4797-4818, IEEE GRSS, IEEE, 2/2024.

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