Leveraging Explainable AI Methods Towards Identifying Classification Issues on IDS Datasets
| Autor(en): | Lanfer, Eric Sylvester, Sophia Aschenbruck, Nils Atzmueller, Martin |
Stichwörter: | Computer science; Overfitting; Classifier (UML); Random forest; Generalization; Artificial intelligence; Machine learning; Anomaly detection; Debugging; Data mining; Artificial neural network; Mathematical analysis; Mathematics; Programming language | Erscheinungsdatum: | 2023 | DOI: | https://doi.org/10.1109/lcn58197.2023.10223401 |
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geprüft am 06.06.2024
