Applying Explainable Outlier Detection: En Empirisk og Teoretisk Undersøgelse af Anvendelse af Explainable Outlier Detection

Jonas Herskind Sejr

Research output: Thesis › Ph.D. thesis

62 Downloads (Pure)

2021
Explainable outlier detection: What, for Whom and Why?
Sejr, J. H. & Schneider-Kamp, A., 15. Dec 2021, In: Machine Learning With Applications. 6, 13 p., 100172.
Research output: Contribution to journal › Journal article › Research › peer-review

Open Access
File
102 Downloads (Pure)
Outlier detection with explanations on music streaming data: A case study with danmark music group ltd.
Sejr, J. H., Christiansen, T., Dvinge, N., Hougesen, D., Schneider-Kamp, P. & Zimek, A., 1. Mar 2021, In: Applied Sciences. 11, 5, 14 p., 2270.
Research output: Contribution to journal › Journal article › Research › peer-review

Open Access
File
64 Downloads (Pure)
Surrogate Object Detection Explainer (SODEx) with YOLOv4 and LIME
Sejr, J. H., Schneider-Kamp, P. & Ayoub, N., Aug 2021, In: Machine Learning and Knowledge Extraction. 3, 3, p. 662-671
Research output: Contribution to journal › Journal article › Research › peer-review

Open Access
File
68 Downloads (Pure)
2020
Explainable detection of zero day web attacks
Sejr, J. H., Zimek, A. & Schneider-Kamp, P., Jun 2020, Proceedings - 2020 3rd International Conference on Data Intelligence and Security, ICDIS 2020. IEEE, p. 71-78 9323006
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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