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Jahr: 2022
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  1. Parisa Shayan; Martin Atzmueller; Menno van Zaanen

    Assessing the Influence of Time on Features for the Prediction of User Dropout

    In: Proc. IEEE International Conference on Tools with Artificial Intelligence. International Conference on Tools with Artificial Intelligence (AAAI …

  2. Parisa Shayan; Menno van Zaanen; Martin Atzmueller

    Predicting User Dropouts from their Online Learning Behavior

    In: Proc. International Conference on Discovery Science. International Conference on Discovery Science, <undefined>, Springer, 2022.

  3. Stefan Bloemheuvel; Jurgen van den Hoogen; Dario Jozinovic; Alberto Michelini; Martin Atzmueller

    Graph neural networks for multivariate time series regression with application to seismic data

    In: International Journal of Data Science and Analytics, Pages 1-16, Springer, 8/2022.

  4. Timo Markert; Sebastian Matich; Daniel Neykov; Markus Muenig; Andreas Theissler; Martin Atzmueller

    Visual Detection of Tiny and Transparent Objects for Autonomous Robotic Pick-and-Place Operations

    In: Proc. IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2022). IEEE International Conference on Emerging …

  5. Timo Markert; Sebastian Matich; Elias Hoerner; Jonas Pfannes; Andreas Theissler; Martin Atzmueller

    Comparing Human Haptic Perception and Robotic Force/Torque Sensing in a Simulated Surgical Palpation Task

    In: Proc. of the 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022). IEEE/RSJ International Conference on …

  6. Martin Atzmueller; Rushed Kanawati

    Explainability in Cyber-Security using Complex Network Analysis: A Brief Methodological Overview

    In: Proceedings of 2022 European Interdisciplinary Cybersecurity Conference EICC 2022. European Interdisciplinary Cybersecurity Conference …

  7. Dan Hudson; Travis J. Wiltshire; Martin Atzmueller

    Visualization Methods for Exploratory Subgroup Discovery on Time Series Data

    In: Bio-inspired Systems and Applications: from Robotics to Ambient Intelligence. Workshop on Affective Computing and Context Awareness in Ambient …

  8. Kai Krämer; Ludger van Elst; Asier Arteaga

    Traveling Salesman Problem: A Case Study of a Scheduling Problem in a Steelmaking Plant

    In: Ludger van Elst; Tulay Caglayan Ozlu; Kurosh Madani (Hrsg.). Proceedings of the 3rd International Conference on Innovative Intelligent Industrial …

  9. Josip Josifovski; Mohammadhossein Malmir; Noah Klarmann; Bare Luka Zagar; Nicolás Navarro-Guerrero; Alois Knoll

    Analysis of Randomization Effects on Sim2Real Transfer in Reinforcement Learning for Robotic Manipulation Tasks

    In: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE/RSJ International Conference on Intelligent Robots and Systems …

  10. SHU-RONG YAN; MANWEN TIAN; KHALID A. ALATTAS; ARDASHIR MOHAMADZADEH; MOHAMMAD SABZALIAN; Amirhosein Mosavi

    An Experimental Machine Learning Approach for Mid-Term Energy Demand Forecasting

    In: IEEE Access, Vol. 10, Pages 118926-118940, IEEE, 11/2022.

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