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Publications

Displaying results 721 to 730 of 14517.

  1. Manuel Amadeus Heid; Michael Pfeifer; Detlev Richter; Dimitri Harder; William Motsch; Nigora Gafur; Henning Gösling; Alexander David; Oliver Thomas; Martin Ruskowski; others

    Sichere und effiziente Produktion durch Agentensysteme: Vernetzte Agenten kombinieren Planung und Sicherheit

    In: atp magazin, Vol. 64, No. 11-12, Pages 60-67, atp magazin, 2022.

  2. Katharina Justmann; Ludwig Leurs; Martin Ruskowski

    Mapping of OPC UA FX to the Asset Administration Shell and Capability, Skill and Service Model

    In: 2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation (ETFA). IEEE International Conference on Emerging Technologies and Factory Automation (ETFA-2024), Pages 1-4, IEEE, 2024.

  3. Tatjana Legler; Vinit Vikas Hegiste; Ahmed Anwar; Martin Ruskowski

    Addressing Heterogeneity in Federated Learning: Challenges and Solutions for a Shared Production Environment

    2024.

  4. Jonas Weigand; Gerben I. Beintema; Jonas Ulmen; Daniel Görges; Roland Tóth; Maarten Schoukens; Martin Ruskowski

    State Derivative Normalization for Continuous-Time Deep Neural Networks

    In: IFAC-PapersOnLine, Vol. 58, No. 15, Pages 253-258, ELSEVIER, 2024.

  5. Szymon Siecinski; Rafal Jan Doniec; Marcin Grzegorzek

    Linear classification of healthy people and patients with valvular heart diseases based on heart rate variability indices derived from electrocardiograms

    In: Jens Haueisen (Hrsg.). Current Directions in Biomedical Engineering (CDBME), Vol. 10, No. 4, Pages 587-590, De Gruyter, 2024.

  6. Chen Li; Yu-Dong Yao; Jiangwei Yan; Marcin Grzegorzek

    Artificial intelligence in forensic microbiology, volume II

    Pages 1-2, Vol. 15, Frontiers Media SA, 2024.

  7. Zhixiang Wang; Huiqiao Gao; Xinghao Wang; Marcin Grzegorzek; Jinfeng Li; Hengzi Sun; Yidi Ma; Xuefang Zhang; Zhen Zhang; Andre Dekker; Alberto Traverso; Zhenyu Zhang; Linxue Qian; Meizhu Xiao; Ying Feng

    A multi-Task Learning based applicable AI model simultaneously predicts stage, histology, grade and LNM for cervical cancer before surgery

    In: BMC Women's Health, Vol. 24, No. 425 (2024), Springer, 2024.

  8. Alexandros Paraschos; Christian Daniel; Jan Peters; Gerhard Neumann

    Probabilistic Movement Primitives

    In: Christopher J. C. Burges; Léon Bottou; Zoubin Ghahramani; Kilian Q. Weinberger (Hrsg.). Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Neural Information Processing Systems (NeurIPS-2013), December 5-8, Lake Tahoe, Nevada, USA, Pages 2616-2624, Curran Associates, Inc. 2013.

  9. Christian Daniel; Malte Viering; Jan Metz; Oliver Kroemer; Jan Peters

    Active Reward Learning

    In: Dieter Fox; Lydia E. Kavraki; Hanna Kurniawati (Hrsg.). Robotics: Science and Systems X. Robotics: Science and Systems (RSS-2014), July 12-16, Berkeley, California, USA, RSS Foundation, 2014.

  10. Abbas Abdolmaleki; Nima Shafii; Luís Paulo Reis; Nuno Lau; Jan Peters; Gerhard Neumann

    Omnidirectional Walking with a Compliant Inverted Pendulum Model

    In: Ana L.C. Bazzan; Karim Pichara (Hrsg.). Advances in Artificial Intelligence - IBERAMIA 2014 - 14th Ibero-American Conference on AI, Proceedings. Ibero-American Conference on Artificial Intelligence (IBERAMIA-2014), November 24-27, Santiago de Chile, Chile, Pages 481-493, Lecture Notes in Computer Science (LNAI), Vol. 8864, Springer, 11/2014.

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