ADA-NAF: Semi-Supervised Anomaly Detection Based on the Neural Attention Forest
In this study, we present a novel model called ADA-NAF (Anomaly Detection Autoencoder with the Neural Attention Forest) for semi-supervised anomaly detection that uniquely integrates the Neural Attention Forest (NAF) architecture which has been developed to combine a random forest classifier with a...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Russian Academy of Sciences, St. Petersburg Federal Research Center
2025-01-01
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| Series: | Информатика и автоматизация |
| Subjects: | |
| Online Access: | https://ia.spcras.ru/index.php/sp/article/view/16598 |
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