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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| Principais autores: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Russian Academy of Sciences, St. Petersburg Federal Research Center
2025-01-01
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| coleção: | Информатика и автоматизация |
| Assuntos: | |
| Acesso em linha: | https://ia.spcras.ru/index.php/sp/article/view/16598 |
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