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  2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2987573

  Grimmelsmann N, Mechtenberg M, Vieth M, Schulz A, Hammer B, Schneider A. 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; 2024: 611-621.

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• [2]
  

  2023 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2983250

  Vieth M, Schulz A, Hammer B. Extending Drift Detection Methods to Identify When Exactly the Change Happened. In: Rojas I, Joya G, Catala A, eds. Advances in Computational Intelligence. 17th International Work-Conference on Artificial Neural Networks, IWANN 2023, Ponta Delgada, Portugal, June 19–21, 2023, Proceedings, Part I. Lecture Notes in Computer Science. Cham: Springer Nature Switzerland; 2023: 92-104.

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• [1]
  

  2022 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2967410

  Vieth M, Grimmelsmann N, Schneider A, Hammer B. Efficient Sensor Selection for Individualized Prediction Based on Biosignals. In: Yin H, Camacho D, Tino P, eds. Intelligent Data Engineering and Automated Learning – IDEAL 2022. 23rd International Conference, IDEAL 2022, Manchester, UK, November 24–26, 2022, Proceedings. Lecture Notes in Computer Science. Vol 13756. Cham: Springer International Publishing; 2022: 326-337.

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