Fuzzy Rule-Based Anomaly Explanation in Micro-electromechanical Systems
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-70259-4_3
Reference9 articles.
1. Liat Antwarg et al. “Explaining anomalies detected by autoencoders using Shapley Additive Explanations”. In: Expert Systems with Applications 186 (2021), p. 115736. https://doi.org/10.1016/j.eswa.2021.115736
2. J. Botzheim et al. “Fuzzy rule extraction by bacterial memetic algorithms”. In: International Journal of Intelligent Systems 24.3 (2009), pp. 312-339. https://doi.org/10.1002/int.20338
3. Majid Dadafshar. “Accelerometer and Gyroscopes Sensors: Operation, Sensing, and Applications”. In: 2019
4. Csongor Márk Horváth et al. “Bacterial Memetic Algorithm Trained Fuzzy System-Based Model of Single Weld Bead Geometry”. In: IEEE Access 8 (2020), pp. 164864-164881. https://doi.org/10.1109/ACCESS.2020.3021950.
5. Zhong Li and Matthijs Leeuwen. “Explainable Contextual Anomaly Detection using Quantile Regression Forests”. In: (Feb. 2023). https://doi.org/10.48550/arXiv.2302.11239
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