Skip to main content Skip to main navigation

Publikationen

Zeige Ergebnisse 1491 bis 1500 von 15134.

  1. Artur Piet; Johanna Geritz; Pascal Garcia; Mona Irsfeld; Frédéric Li; Xinyu Huang; Muhammad Tausif Irshad; Julius Welzel; Clint Hansen; Walter Maetzler; Marcin Grzegorzek; others

    Predicting executive functioning from walking features in Parkinson’s disease using machine learning

    In: Scientific Reports (Sci Rep), Vol. 14, No. 1, Pages 1-1, Nature Publishing Group UK London, 2024.

  2. Xinyu Huang; Franziska Schmelter; Annemarie Uhlig; Muhammad Tausif Irshad; Muhammad Adeel Nisar; Artur Piet; Lennart Jablonski; Oliver Witt; Torsten Schröder; Christian Sina; Marcin Grzegorzek

    Comparison of feature learning methods for non-invasive interstitial glucose prediction using wearable sensors in healthy cohorts: a pilot study

    In: Intelligent Medicine, Vol. 4, No. 4, Pages 226-238, Elsevier, 11/2024.

  3. 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.

  4. P. Holzmann; M. Maik Pfefferkorn; Jan Peters; R. Findeisen

    Learning Energy-Efficient Trajectory Planning for Robotic Manipulators using Bayesian Optimization

    In: Proceedings of the European Control Conference (ECC). European Control Conference (ECC-2024), Institute of Electrical and Electronics Engineers (IEEE), 2024.

  5. Y. Weng; S. Chun; M. Ohashi; T. Matsuda; Y. Sekimoria; J. Pajarinen; Jan Peters; T. Maki

    Autonomous Underwater Vehicle Link Alignment Control in Unknown Environments Using Reinforcement Learning

    In: Journal of Field Robotics (JFR), Vol. 41, No. 6, Pages 1724-1743, John Wiley & Sons Inc. 2024.

  6. V. Prasad; A Kshirsagar; D. Koert; R. Stock-Homburg; Jan Peters; G. Chalvatzaki

    MoVEInt: Mixture of Variational Experts for Learning Human-Robot Interactions from Demonstrations

    In: IEEE Robotics and Automation Letters (RA-L), Vol. 9, No. 7, Pages 6043-6050, IEEE, 2024.

  7. F. Al-Hafez; G. Zhao; Jan Peters; D. Tateo

    Time-Efficient Reinforcement Learning with Stochastic Stateful Policies

    In: LEARNING REPRESENTATIONS. INTERNATIONAL CONFERENCE. 12TH 2024. (ICLR 2024). International Conference on Learning Representations (ICLR), International Conference on Learning Representations (ICLR), 2024.

  8. A. Hendawy; Jan Peters; C. D'Eramo

    Multi-Task Reinforcement Learning with Mixture of Orthogonal Experts

    In: LEARNING REPRESENTATIONS. INTERNATIONAL CONFERENCE. 12TH 2024. International Conference on Learning Representations (ICLR-2024), International Conference on Learning Representations (ICLR), 2024.

  9. Y. Goeksu; A. Almeida-Correia; V. Prasad; A. Kshirsagar; D. Koert; Jan Peters; G. Chalvatzaki

    Kinematically Constrained Human-like Bimanual Robot-to-Human Handovers

    In: Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction (HRI ’24 Companion). ACM/IEEE International Conference on Human-Robot Interaction (HRI-2024), Association for Computing Machinery, 2024.

  10. F. Hahne; Prasad V.; Kshirsagar A.; Koert D.; Stock-Homburg R. M.; Jan Peters; Chalvatzaki G.

    Transition State Clustering for Interaction Segmentation and Learning

    In: Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction (HRI ’24 Companion). ACM/IEEE International Conference on Human-Robot Interaction (HRI-2024), Association for Computing Machinery, 2024.

Jahr

Mehr Optionen