Anomaly-based error and intrusion detection in tabular data: No DNN outperforms tree-based classifiers

Research article (Future Generation Computer Systems, 2024) · cited 28× · AI/ML
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Anomaly-based error and intrusion detection in tabular data: No DNN outperforms tree-based classifiers

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Anomaly-based error and intrusion detection in tabular data: No DNN outperforms tree-based classifiers is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Anomaly-based error and intrusion detection in tabular data: No DNN outperforms tree-based classifiers. Retrieved May 24, 2026, from https://4ort.xyz/entity/anomaly-based-error-and-intrusion-detection-in-tabular-data-no-dnn-outperforms-tree-based-classifiers
MLA “Anomaly-based error and intrusion detection in tabular data: No DNN outperforms tree-based classifiers.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/anomaly-based-error-and-intrusion-detection-in-tabular-data-no-dnn-outperforms-tree-based-classifiers.
BibTeX @misc{4ortxyz_anomaly-based-error-and-intrusion-detection-in-tabular-data-no-dnn-outperforms-tree-based-classifiers_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Anomaly-based error and intrusion detection in tabular data: No DNN outperforms tree-based classifiers}}, year = {2026}, url = {https://4ort.xyz/entity/anomaly-based-error-and-intrusion-detection-in-tabular-data-no-dnn-outperforms-tree-based-classifiers}, note = {Accessed: 2026-05-24}}
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