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Evaluating feature relevance XAI in network intrusion detection

J. Tritscher, M. Wolf, A. Hotho, и D. Schlör. The World Conference on eXplainable Artificial Intelligence (xAI 2023) - to appear, (2023)

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Generative Inpainting for Shapley-Value-Based Anomaly ExplanationJ. Tritscher, P. Lissmann, M. Wolf, A. Krause, A. Hotho, и D. Schlör. The World Conference on eXplainable Artificial Intelligence (xAI 2024) - to appear, (апреля 2024)Evaluation von State of the Art Syntaxparsern auf deutschen Romanen des 16. bis 20. JahrhundertsJ. Tritscher. (2016)Towards Explainable Occupational Fraud Detection.J. Tritscher, D. Schlör, F. Gwinner, A. Krause, и A. Hotho. PKDD/ECML Workshops (2), том 1753 из Communications in Computer and Information Science, стр. 79-96. Springer, (2022)Towards Explainable Occupational Fraud DetectionJ. Tritscher, D. Schlör, F. Gwinner, A. Krause, и A. Hotho. Machine Learning and Principles and Practice of Knowledge Discovery in Databases. ECML PKDD 2022. Communications in Computer and Information Science, 1753, стр. 79--96. Cham, Springer Nature Switzerland, (2023)Sentiment-Klassifizierung von Chatnachrichten twitch.tvJ. Tritscher. (2019)A financial game with opportunities for fraudJ. Tritscher, A. Krause, D. Schlör, F. Gwinner, S. Von Mammen, и A. Hotho. 2021 IEEE Conference on Games (CoG), стр. 1-5. (2021)