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Publications

Displaying results 381 to 390 of 682.

  1. Sebastián Gómez-González; Sergey Prokudin; Bernhard Schölkopf; Jan Peters

    Real Time Trajectory Prediction Using Deep Conditional Generative Models

    In: IEEE Robotics and Automation Letters (RA-L), Vol. 5, No. 2, Pages 970-976, IEEE, 2020.

  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 (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.

  4. 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.

  5. Key-Sun Choi; Luis Espinosa Anke; Thierry Declerck; Dagmar Gromann; Jin-Dong Kim; Axel-Cyrille Ngonga Ngomo; Muhammad Saleem; Ricardo Usbeck (Hrsg.)

    Joint Proceedings of ISWC 2018 Workshops SemDeep-4 and NLIWOD-4

    Workshop on Semantic Deep Learning (SemDeep-2018), located at 17th International Semantic Web Conference, October 8, Monterey, USA, Vol. 2241, ISBN 1613-0073, CEURS, 10/2018.

  6. Johannes Lahann; Martin Scheid; Peter Fettke

    Towards Optimal Free Trade Agreement Utilization through Deep Learning Techniques

    In: Tung Bui; Ralph Sprague (Hrsg.). Proceedings of the 53rd Annual Hawaii International Conference on System Sciences. Hawaii International Conference on System Sciences (HICSS-2020), January 7-10, Maui, HI, USA, ISBN 978-0-9981331-3-3, IEEE Computer Society, 2020.

  7. Dagmar Gromann; Luis Espinosa-Anke; Thierry Declerck; Jose Camacho-Collados; Mohammad Taher Pilehvar (Hrsg.)

    Proceedings of the 5th Workshop on Semantic Deep Learning

    Workshop on Semantic Deep Learning (SemDeep-2019), located at 28th International Joint Conference on Artificial Intelligence, August 10-16, Macao, China, ISBN 978-1-950737-19-2, Association for Computational Linguistics (ACL), Stroudsburg, PA 18360, USA, 8/2019.

  8. Yongzhi Su; Jason Raphael Rambach; Nareg Minaskan Karabid; Paul Lesur; Alain Pagani; Didier Stricker

    Deep Multi-State Object Pose Estimation for Augmented Reality Assembly

    In: Proceedings of the 18th IEEE ISMAR. IEEE International Symposium on Mixed and Augmented Reality (ISMAR-2019), October 14-18, Beijing, China, IEEE, 2019.

  9. Patrick Helber; Benjamin Bischke; Jörn Hees; Andreas Dengel

    Multi-Scale Machine Learning for the Classification of Building Property Values

    In: Data Fusion: The AI Era. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), July 28 - August 2, Yokohama, Japan, IEEE, 2019.

  10. Benjamin Bischke; Patrick Helber; Jörn Hees; Andreas Dengel

    Location-Specific Embedding Learning for the Semantic Segmentation of Building Footprints on a global scale

    In: Global-Environment Observation and Disaster Mitigation. IEEE International Geoscience and Remote Sensing Symposium (IGARSS-2019), July 28 - August 2, Yokohama, Japan, IEEE, 2019.

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