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Displaying results 181 to 190 of 514.

  1. 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 …

  2. 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.

  3. Mattis Wolf; Diajeng Wulandari Atmojo; Christoph Tholen; Oliver Zielinski

    Improved deep learning based litter detection in aquatic environments in Indonesia using drones

    In: Proceedings of OCEANS 2023. OCEANS MTS/IEEE Conference (OCEANS-2023), June 5-8, Limerick, Ireland, Pages 1-7, ISBN 979-8-3503-3226-1, IEEE, …

  4. Naeem Iqbal; Mark Niemeyer; Jan Christoph Krause; Joachim Hertzberg

    Scalable Evaluation Pipeline of CNN-based perception for Robotic Sensor Data under different Environment Conditions

    In: 2023 European Conference on Mobile Robots. European Conference on Mobile Robots (ECMR-2023), September 4-7, Coimbra, Portugal, IEEE, 2023.

  5. Dinh Nam Pham; Vera Czehmann; Eleftherios Avramidis

    Disambiguating Signs: Deep Learning-based Gloss-level Classification for German Sign Language by Utilizing Mouth Actions

    In: Proceedings of the 31st European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. European Symposium on …

  6. Amos Smith; Jeremy Coffelt; Kai Lingemann

    A Deep Learning Framework for Semantic Segmentation of Underwater Environments

    In: OCEANS 22 Hampton Roads. OCEANS MTS/IEEE Conference (OCEANS-2022), October 17-20, Hampton Roads, VA, USA, IEEE, 10/2022.

  7. Michael Lutter; Boris Belousov; Kim Listmann; Debora Clever; Jan Peters

    HJB optimal feedback control with deep differential value functions and action constraints

    In: Leslie Pack Kaelbling; Danica Kragic; Komei Sugiura (Hrsg.). 3rd Annual Conference on Robot Learning. Conference on Robot Learning (CoRL-2019), …

  8. Michael Lutter; Debora Clever; Boris Belousov; Kim Listmann; Jan Peters

    Evaluating the Robustness of HJB Optimal Feedback Control

    In: International Symposium on Robotics. International Symposium on Robotics (ISR-2020), 52th, December 9-10, Pages 1-8, VDE, 2020.

  9. Bastian Wibranek; Yuxi Liu; Niklas Funk; Boris Belousov; Jan Peters; Oliver Tessmann

    Reinforcement learning for sequential assembly of SL-blocks-self-interlocking combinatorial design based on machine learning

    In: Vesna Stojaković; Bojan Tepavčević (Hrsg.). eCAADe 2021 - Towards a New, Configurable Architecture, Volume 1 - Proceedings. Education and Research …

  10. Boris Belousov; Bastian Wibranek; Jan Schneider; Tim Schneider; Georgia Chalvatzaki; Jan Peters; Oliver Tessmann

    Robotic architectural assembly with tactile skills: Simulation and optimization

    In: Automation in Construction, Vol. 133, Pages 1-10, Elsevier, 1/2022.

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