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Year: 2024
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Displaying results 1 to 10 of 903.

  1. Martin Kuhn; Joscha Grüger; Christoph Matheja; Andrey Rivkin

    Data Petri Nets meet Probabilistic Programming (Extended version)

    6/2024.

  2. Alexander Winter; Toralf Kirsten; Mattis Hartwig

    Improving Patient Trajectory Forecasts in Hospitals: Using Emergency Department Data for Length of Stay Prediction and Next Hospital Unit Classification

    In: Ana Moita; Katja Bühler; Hesham Ali; Ning Deng; Ioanna Chouvarda; Federico Cabitza; Ana Fred; Hugo Gamboa (Hrsg.). Biomedical Engineering Systems and Technologies. International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC-2023), 16th International Joint Conference, BIOSTEC 2023, Lisbon, Portugal, February 16–18, 2023, Revised Selected Papers, February 16-18, Lisbon, Portugal, Pages 84-106, ISBN 978-3-031-67088-6, Springer Nature Switzerland, 7/2024.

  3. 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.

  4. Jan Gronewald; Alexander Michael Rombach; Sebastian Stephan; Peter Fettke

    Anomaly Detection in General Ledger Data: Results from a Hybrid Approach

    1st International Conference on Auditing and Artificial Intelligence, 2024.

  5. Sebastian Stephan; Josip Lovrekovic; Peter Fettke

    Addressing the Schema Representation Problem in Process Models Using Petri Nets - First Results Illustrated by the Dining Philosophers Problem

    In: Wirtschaftsinformatik 2024 Proceedings. Internationale Tagung Wirtschaftsinformatik (WI-2024), September 16-19, Würzburg, Germany, AIS Electronic Library (AISeL), 9/2024.

  6. 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.

  7. 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.

  8. 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.

  9. Bernd Finkbeiner; Felix Jahn; Julian Siber

    Counterfactual Explanations for MITL Violations

    In: Siddharth Barman; Slawomir Lasota (Hrsg.). 44th IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science (FSTTCS 2024). IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science (FSTTCS-2024), December 16-18, Pages 22:1-22:25, Leibniz International Proceedings in Informatics (LIPIcs), Vol. 323, ISBN 978-3-95977-355-3, Schloss Dagstuhl -- Leibniz-Zentrum für Informatik, Dagstuhl, Germany, 12/2024.

  10. Joshua Meyer; Alexander Rath; Ömercan Yazici; Philipp Slusallek

    MARS: Multi-sample Allocation through Russian roulette and Splitting

    In: SIGGRAPH Asia 2024 Conference Papers. ACM SiggraphAsia (SigAsia-2024), December 3-6, Tokyo, Japan, SA '24 (SA '24), ISBN 9798400711312, Association for Computing Machinery, New York, NY, USA, 12/2024.

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