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  1. 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 …

  2. 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 …

  3. 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 …


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

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

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

    Deep Learning for Modeling an Offshore Hybrid Wind–Wave Energy System

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

  6. Volker Schaus; Tilman Andriof; Colin Borrett; Ingo Burmeister; Francisco Cabral; José Carvalho; Markus Daugs; Louise Hetherton; Florian Jung; Anthony de la Llave; Silvia Martinavarro; Keiran McNally; Maria Mirgkizoudi; Dinesh Krishna Natarajan; Marlon Nuske; Deepak Kumar Pathak; Ian Purton; Fabian Schiemenz; Zoe Tenacci; Benedikt Veith; Jan Siminski; Klaus Merz

    First results of ESA’s collision risk estimation and automated mitigation (CREAM) programme

    In: 73rd. International Astronautical Congress (IAC-2022), 20th IAA Symposium on Space Debris, September 18-22, Paris, France, IAF, 2022.

  7. AI-driven Scheduling in an IIoT Scenario

    In: 2022 Workshop on Next Generation Networks and Applications. Workshop on Next Generation Networks and Applications (NGNA-2022), November 24, …

  8. Towards Automated Process Planning and Mining

    In: Giuseppe De Giacomo; Antonella Guzzo; Marco Montali; Lior Limonad; Fabiana Fournier; Tagatha Chakraborti (Hrsg.). Process Management in the AI Era …

  9. Less is More: Proxy Datasets in NAS approaches

    In: Brian Moser; Federico Raue; Jörn Hees; Andreas Dengel (Hrsg.). The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR). …

  10. DeepMuCS: A Framework for Co-culture Microscopic Image Analysis: From Generation to Segmentation

    In: 2022 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI). IEEE-EMBS International Conference on Biomedical and Health …