3 Publikationen

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  • [3]
    2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2987573
    Grimmelsmann, Nils, Mechtenberg, Malte, Vieth, Markus, Schulz, Alexander, Hammer, Barbara, and Schneider, Axel. “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”. Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies. Setúbal, Portugal: SCITEPRESS - Science and Technology Publications, 2024. 611-621.
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  • [2]
    2023 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2983250
    Vieth, Markus, Schulz, Alexander, and Hammer, Barbara. “Extending Drift Detection Methods to Identify When Exactly the Change Happened”. Advances in Computational Intelligence. 17th International Work-Conference on Artificial Neural Networks, IWANN 2023, Ponta Delgada, Portugal, June 19–21, 2023, Proceedings, Part I. Ed. Ignacio Rojas, Gonzalo Joya, and Andreu Catala. Cham: Springer Nature Switzerland, 2023. Lecture Notes in Computer Science. 92-104.
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  • [1]
    2022 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2967410
    Vieth, Markus, Grimmelsmann, Nils, Schneider, Axel, and Hammer, Barbara. “Efficient Sensor Selection for Individualized Prediction Based on Biosignals”. Intelligent Data Engineering and Automated Learning – IDEAL 2022. 23rd International Conference, IDEAL 2022, Manchester, UK, November 24–26, 2022, Proceedings. Ed. Hujun Yin, David Camacho, and Peter Tino. Cham: Springer International Publishing, 2022.Vol. 13756. Lecture Notes in Computer Science. 326-337.
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