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Publications

 

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Displaying results 331 to 340 of 514.
  1. Nijat Mehdiyev; Joerg Evermann; Peter Fettke

    A Multi-Stage Deep Learning Approach for Business Process Event Prediction

    In: 19th IEEE Conference on Business Informatics. IEEE Conference on Business Informatics (CBI-17), located at IEEE Conference on Business …

  2. Joerg Evermann; Jana-Rebecca Rehse; Peter Fettke

    XES Tensorflow – Process Prediction using the Tensorflow Deep-Learning Framework

    In: X. Franch; J. Ralyté; R. Matulevičius; C. Salinesi; R. Wieringa (Hrsg.). CAiSE 2017 Forum and Doctoral Consortium Papers. Forum at the CAiSE …

  3. The Multimedia Satellite Task at MediaEval 2017

    In: Working Notes Proceedings of the MediaEval 2017. MediaEval Benchmark, Workshop, September 13-16, Dublin, Ireland, 2017.

  4. A Dynamic Multi-objective Scheduling Approach for Gradient-Based Reinforcement Learning

    In: 18th IFAC Symposium on Information Control Problems in Manufacturing INCOM 2024. IFAC Symposium on Information Control Problems in Manufacturing …

  5. Segment Anything for Microscopy

    In: Nature, Vol. None, Pages 1-30, Nature Methods, 8/2024.

  6. Enhancing Stress Detection for Students: Exploring the Impact of Fine-Tuning and User-Specific Data Calibration in Deep Learning

    In: International Journal of Activity and Behavior Computing, Vol. 2024, Pages 1-21, J-Stage, 2024.

  7. Deep Reinforcement Learning for Path-Following Control of an Autonomous Surface Vehicle using Domain Randomization

    In: 15th IFAC Conference on Control Applications in Marine Systems, Robotics and Vehicles, 2024. IFAC Conference on Control Applications in Marine …

  8. Thomas Röfer; Tim Laue; Arne Hasselbring; Fynn Böse; Lukas Malte Monnerjahn; Kelke van Lessen

    B-Human 2023 - Object and Gesture Detection

    In: Cédric Buche; Alessandra Rossi; Marco Simões; Ubbo Visser (Hrsg.). RoboCup 2023: Robot World Cup XXVI. RoboCup International Symposium …