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1 Ergebnisse
1
Enhancing Machine Learning Model Interpretability in Intrus..:
, In:
2024 6th International Conference on Pattern Analysis and Intelligent Systems (PAIS)
,
Khediri, Abderrazak
;
Slimi, Hamda
;
Yahiaoui, Ayoub
... - p. 1-6 , 2024
Link:
https://doi.org/10.1109/PAIS62114.2024.10541168
RT T1 <cTitle>2024 6th International Conference on Pattern Analysis and Intelligent Systems (PAIS)</cTitle>: T1 <Title>Enhancing Machine Learning Model Interpretability in Intrusion Detection Systems through SHAP Explanations and LLM-Generated Descriptions</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10541168&Exemplar=1&LAN=DE A1 Khediri, Abderrazak A1 Slimi, Hamda A1 Yahiaoui, Ayoub A1 Derdour, Makhlouf A1 Bendjenna, Hakim A1 Ghenai, Charaf Eddine YR 2024 K1 Analytical models K1 Additives K1 Intrusion detection K1 Machine learning K1 Predictive models K1 Feature extraction K1 Threat assessment K1 Anomaly detection K1 SHAP Values K1 Explainable AI K1 Large Language Model SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/PAIS62114.2024.10541168 DO https://doi.org/10.1109/PAIS62114.2024.10541168 SF ELIB - SuUB Bremen
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