3 Publikationen

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  • [3]
    2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2987573
    Grimmelsmann N, Mechtenberg M, Vieth M, Schulz A, Hammer B, Schneider A (2024)
    Predicting the Level of Co-Activation of One Muscle Head from the Other Muscle Head of the Biceps Brachii Muscle by Linear Regression and Shallow Feedforward Neural Networks.
    In: Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies. Setúbal, Portugal: SCITEPRESS - Science and Technology Publications: 611-621.
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  • [2]
    2023 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2983250
    Vieth M, Schulz A, Hammer B (2023)
    Extending Drift Detection Methods to Identify When Exactly the Change Happened.
    In: Advances in Computational Intelligence. 17th International Work-Conference on Artificial Neural Networks, IWANN 2023, Ponta Delgada, Portugal, June 19–21, 2023, Proceedings, Part I. Rojas I, Joya G, Catala A (Eds); Lecture Notes in Computer Science, Cham: Springer Nature Switzerland: 92-104.
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  • [1]
    2022 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2967410
    Vieth M, Grimmelsmann N, Schneider A, Hammer B (2022)
    Efficient Sensor Selection for Individualized Prediction Based on Biosignals.
    In: Intelligent Data Engineering and Automated Learning – IDEAL 2022. 23rd International Conference, IDEAL 2022, Manchester, UK, November 24–26, 2022, Proceedings. Yin H, Camacho D, Tino P (Eds); Lecture Notes in Computer Science, 13756. Cham: Springer International Publishing: 326-337.
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