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Jahr: 2023
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  1. Daniel Reti; Karina Elzer; Hans Dieter Schotten

    SCANTRAP: Protecting Content Management Systems from Vulnerability Scanners with Cyber Deception and Obfuscation

    In: Proceedings of the 9th International Conference on Information Systems Security and Privacy - ICISSP. International Conference on Information …

  2. Dikshant Gupta; Matthias Klusch

    Hybrid Deep Reinforcement Learning and Planning for Safe and Comfortable Automated Driving

    In: Intelligent Vehicles. IEEE Intelligent Vehicles Symposium (IV-2023), IEEE, 2023.

  3. Md Abdul Kadir; Abdulrahman Mohamed Selim; Michael Barz; Daniel Sonntag

    A User Interface for Explaining Machine Learning Model Explanations

    In: Companion Proceedings of the 28th International Conference on Intelligent User Interfaces. International Conference on Intelligent User Interfaces …

  4. Joscha Grüger; Tobias Geyer; Martin Kuhn; Stephan Alexander Braun; Ralph Bergmann

    Declarative Guideline Conformance Checking of Clinical Treatments: A Case Study

    In: Cristina Cabanillas; Niels Frederik Garmann-Johnsen; Agnes Koschmider (Hrsg.). Business Process Management Workshops. Business Process Management …

  5. Dominique Mercier; Andreas Dengel; Sheraz Ahmed

    From Private to Public: Benchmarking GANs in the Context of Private Time Series Classification

    In: Applied Intelligence (APIN), Vol. July 2024, Pages 1-15, Springer Nature, 7/2023.

  6. Joscha Grüger; Tobias Geyer; David Jilg; Ralph Bergmann

    SAMPLE: A semantic approach for multi-perspective event log generation

    In: Marco Montali; Arik Senderovich; Matthias Weidlich (Hrsg.). Process Mining Workshops. International Conference on Process Mining (ICPM-2022), …

  7. Jihao Andreas Lin; Joe Watson; Pascal Klink; Jan Peters

    Function-Space Regularization for Deep Bayesian Classification

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2307.06055, Pages 0-10, arXiv, 2023.

  8. Johanna Bethge; Maik Pfefferkorn; Alexander Rose; Jan Peters; Rolf Findeisen

    Model Predictive Control with Gaussian-Process-Supported Dynamical Constraints for Autonomous Vehicles

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2303.04725, Pages 0-10, arXiv, 2023.

  9. An T. Le; Kay Hansel; Jan Peters; Georgia Chalvatzaki

    Hierarchical Policy Blending As Optimal Transport

    In: Nikolai Matni; Manfred Morari; George J. Pappas (Hrsg.). Proceedings of The 5th Annual Learning for Dynamics and Control Conference. Learning for …

  10. Daniel Palenicek; Michael Lutter; Joao Carvalho; Jan Peters

    Diminishing Return of Value Expansion Methods in Model-Based Reinforcement Learning

    In: The Eleventh International Conference on Learning Representations. International Conference on Learning Representations (ICLR-2023), …

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