6 Publikationen

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  • [6]
    2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2985684
    J. Kummert, et al., “Generating Cardiovascular Data to Improve Training of Assistive Heart Devices”, 2023 IEEE Symposium Series on Computational Intelligence (SSCI), IEEE, 2023, pp.1292-1297.
    PUB | DOI
     
  • [5]
    2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2985683
    R. Feldhans, et al., “Data Augmentation for Cardiovascular Time Series Data Using WaveNet”, 2023 IEEE Symposium Series on Computational Intelligence (SSCI), IEEE, 2023, pp.836-841.
    PUB | DOI
     
  • [4]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2980429
    J. Kummert, A. Schulz, and B. Hammer, “Metric Learning with Self-Adjusting Memory for Explaining Feature Drift”, SN Computer Science, vol. 4, 2023, : 376.
    PUB | DOI
     
  • [3]
    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2952937 OA
    J. Kummert, et al., “Efficient Reject Options for Particle Filter Object Tracking in Medical Applications”, Sensors, vol. 21, 2021, : 2114.
    PUB | PDF | DOI | WoS | PubMed | Europe PMC
     
  • [2]
    2019 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2940019
    F. Lier, et al., “ToBI - Team of Bielefeld Enhancing the Robot Capabilities of the Social Standard Platform Pepper”, RoboCup 2018: Robot World Cup XXII, D. Holz, et al., eds., Lecture Notes in Computer Science, vol. 11374, Cham: Springer, 2019, pp.524-535.
    PUB | DOI
     
  • [1]
    2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2909367
    J. Kummert, et al., “Local Reject Option for Deterministic Multi-class SVM”, Artificial Neural Networks and Machine Learning - ICANN 2016 - 25th International Conference on Artificial Neural Networks, Barcelona, Spain, September 6-9, 2016, Proceedings, Part II, A. E.P. Villa, P. Masulli, and A.J. Pons Rivero, eds., Lecture Notes in Computer Science, vol. 9887, Cham: Springer Nature, 2016, pp.251--258.
    PUB | DOI
     

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