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Publications

Displaying results 351 to 360 of 668.

  1. Michael Lutter; Boris Belousov; Shie Mannor; Dieter Fox; Animesh Garg; Jan Peters

    Continuous-Time Fitted Value Iteration for Robust Policies

    In: IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), Vol. 45, No. 5, Pages 5534-5548, IEEE, 2023.

  2. Dayananda Herurkar; Timur Sattarov; Jörn Hees; Sebastian Palacio; Federico Raue; Andreas Dengel

    Cross-Domain Transformation for Outlier Detection on Tabular Datasets

    In: IJCNN 2023 : International Joint Conference on Neural Networks. International Joint Conference on Neural Networks (IJCNN-2023), located at IJCNN, June 18-23, Gold Coast Convention and Exhibition Centre, Queensland, Australia, DFKI Research Reports (RR), IEEE Xplore, 2023.

  3. 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.

  4. 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 (IUI-2023), March 27-31, Sydney, NSW, Australia, Pages 59-63, IUI'23 Companion, Vol. Companion Proceedings of the 28th International Conference on Intelligent User Interfaces, ISBN 9798400701078, Association for Computing Machinery, New York, NY, United States, 3/2023.

  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. Mirjana Ivanovic; Serge Autexier; Miltiadis Kokkonidis; Johannes Rust

    Quality medical data management within an open AI architecture – cancer patients case

    In: Connection Science, Vol. 35, No. 1, Page 2194581, Taylor & Francis, 4/2023.

  7. Nijat Mehdiyev; Peter Fettke

    Explainable Artificial Intelligence for Process Mining: A General Overview and Application of a Novel Local Explanation Approach for Predictive Process Monitoring

    In: Witold Pedrycz; Shyi-Ming Chen (Hrsg.). Interpretable Artificial Intelligence: A Perspective of Granular Computing. Chapter 1, Pages 1-28, Vol. 937, ISBN 9783030649487, Springer, 2021.

  8. Nijat Mehdiyev; Peter Fettke

    Prescriptive process analytics with deep learning and explainable artificial intelligence

    In: Twenty-Eighth European Conference on Information Systems (ECIS2020) - A Virtual AIS Conference. European Conference on Information Systems (ECIS-2020), 28th, June 15, Marrakech, Morocco, AISeL, 6/2020.

  9. Abdul Rafey Aftab; Michael von der Beeck; Michael Feld

    You Have a Point There: Object Selection Inside an Automobile Using Gaze, Head Pose and Finger Pointing

    In: ICMI '20: Proceedings of the 2020 International Conference on Multimodal Interaction. ACM International Conference on Multimodal Interaction (ICMI-2020), October 25-29, Utrecht, Netherlands, Pages 595-603, ISBN 978-1-4503-7581-8/20/10, ACM, 9/2020.

  10. Peter Fettke; Robert Risse; Fritz Esterer

    Anwendungspotentiale von Deep Learning im Process Mining in der Steuerabteilung am Beispiel von Henkel

    In: IM+io, Vol. 4, Pages 84-89, AWSI Publishing, 12/2017.

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