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  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. S. 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: Ignacio Rojas; Gonzalo Joya; Andreu Catala (Hrsg.): Advances in Computational Intelligence. 17th International Work-Conference on Artificial Neural Networks, IWANN 2023, Ponta Delgada, Portugal, June 19–21, 2023, Proceedings, Part I. Cham: Springer Nature Switzerland. (Lecture Notes in Computer Science, ). S. 92-104.

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  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: Hujun Yin; David Camacho; Peter Tino (Hrsg.): Intelligent Data Engineering and Automated Learning – IDEAL 2022. 23rd International Conference, IDEAL 2022, Manchester, UK, November 24–26, 2022, Proceedings. Cham: Springer International Publishing. (Lecture Notes in Computer Science, 13756). S. 326-337.

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