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  1. Kalloniatis Christos; Lambrinoudakis Costas; Mathias Musahl; Kanatas Athanasios; Gritzalis Stefanos

    Incorporating privacy by design in body sensor networks for medical applications: A privacy and data protection framework

    In: Computer Science and Information Systems Journal, Vol. 18, Pages 323-347, ComSIS Consortium, 2021.

  2. Christopher Metz; Mehran Goli; Rolf Drechsler

    Pick the Right Edge Device: Towards Power and Performance Estimation of CUDA-based CNNs on GPGPUs

    In: Proceedings of SLOHA Workshop 2021. System-level Design Methods for Deep Learning on Heterogeneous Architectures (SLOHA-2021), located at Design, …

  3. Dennis Stumpf; Stephan Krauß; Gerd Reis; Oliver Wasenmüller; Didier Stricker

    SALT: A Semi-automatic Labeling Tool for RGB-D Video Sequences

    In: Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. International …

  4. Jason Raphael Rambach; Gergana Lilligreen; Alexander Schäfer; Ramya Bankanal; Alexander Wiebel; Didier Stricker

    A Survey on Applications of Augmented, Mixed and Virtual Reality for Nature and Environment

    In: Proceedings of the 23rd HCI. International Conference on Human-Computer Interaction (HCII-2021), July 24-29, Washington, DC, USA, Springer, 2021.

  5. Feasibility Study on Virtual Process Controllers as Basis for Future Industrial Automation Systems

    In: 2021 IEEE 22nd International Conference on Industrial Technology (ICIT). IEEE International Conference on Industrial Technology (ICIT-2021), March …

  6. SynPo-Net--Accurate and Fast CNN-Based 6DoF Object Pose Estimation Using Synthetic Training

    In: SangMin Yoon (Hrsg.). Sensors - Open Access Journal (Sensors), Vol. 21(1) - Special Issue "Object Tracking and Motion Analysis", Page 300, MDPI, …

  7. Max Leimkühler; Laura Gravemeier; Tim Biester; Oliver Thomas

    Deep learning object detection as an assistance system for complex image labeling tasks

    In: Proceedings of the 54th Hawaii International Conference on System Sciences. Hawaii International Conference on System Sciences (HICSS-2021), A …

  8. Local Post-Hoc Explanations for Predictive Process Monitoring in Manufacturing

    In: ECIS 2021 - 29th European Conference on Information System. European Conference on Information Systems (ECIS-2021), 29th, June 14-16, Marrakech, …

  9. 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. …

  10. The Mesh Tools Package -- Introducing Annotated 3D Triangle Maps in ROS

    In: Karsten Berns; Maria Gini; Jun Ota (Hrsg.). Robotics and Autonomous Systems (RAS), Vol. 138, Page 103688, Elsevier, 4/2021.