Skip to main content Skip to main navigation

Publications

 

Due to maintenance work, it is currently not possible to search for publications by author.

Search narrowed by:

Year: 2022
Remove all filters
Displaying results 31 to 40 of 798.

  1. 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.

  2. 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.

  3. 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 …

  4. 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 …

  5. 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 …

  6. 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 …

  7. 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 …

  8. 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 …

  9. 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.

  10. Mahsa Manshadi; Milad Mousavi; M. Soltani; Amirhosein Mosavi; Levente Kovacs

    Deep Learning for Modeling an Offshore Hybrid Wind&#8211;Wave Energy System

    In: Energies, Vol. 15, No. 24, Pages 9484-9494, MDPI, 12/2022.

Year