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Publications

 

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Displaying results 71 to 80 of 802.
  1. Julian Wörmann; Daniel Bogdoll; Etienne Bührle; Han Chen; Evaristus Fuh Chuo; Kostadin Cvejoski; Ludger van Elst; Philip Gottschall; Stefan Griesche; Christian Hellert; Christian Hesels; Sebastian Houben; Tim Joseph; Niklas Keil; Johann Kelsch; Hendrik Königshof; Erwin Kraft; Leonie Kreuser; Kevin Krone; Tobias Latka; Denny Mattern; Stefan Matthes; Mohsin Munir; Moritz Nekolla; Adrian Paschke; Maximilian Alexander Pintz; Tianming Qiu; Faraz Qureishi; Syed Tahseen Raza Rizvi; Jörg Reichardt; Laura von Rueden; Stefan Rudolph; Alexander Sagel; Tobias Scholl; Gerhard Schunk; Hao Shen; Hendrik Stapelbroek; Vera Stehr; Gurucharan Srinivas; Anh Tuan Tran; Abhishek Vivekanandan; Ya Wang; Florian Wasserrab; Tino Werner; Christian Wirth; Stefan Zwicklbauer

    Knowledge Augmented Machine Learning with Applications in Autonomous Driving: A Survey

    arXiv, 2022.

  2. 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 …

  3. 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 (IEEE), Vol. 10, Pages 118926-118940, IEEE, 11/2022.

  4. 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.

  5. 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.

  6. Julian Ahrens; Lia Ahrens; Hans Dieter Schotten

    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, …

  7. 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 …

  8. 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). …

  9. 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 …

  10. Point2Mask: A Weakly Supervised Approach for Cell Segmentation using Point Annotation

    In: 2022 Annual Conference on Medical Image Understanding and Analysis. Medical Image Understanding and Analysis (MIUA-2022), July 25-29, Cambridge, …