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Found 5 papers, 3 papers with code
Making Parametric Anomaly Detection on Tabular Data Non-Parametric Again
Deep learning for tabular data has garnered increasing attention in recent years, yet employing deep models for structured data remains challenging.
Comparative Evaluation of Anomaly Detection Methods for Fraud Detection in Online Credit Card Payments
This observation challenges the potential benefits of ensemble methods to combine supervised, and AD approaches to enhance performance.
Beyond Individual Input for Deep Anomaly Detection on Tabular Data
To the best of our knowledge, this is the first work to successfully combine feature-feature and sample-sample dependencies for anomaly detection on tabular datasets.
TracInAD: Measuring Influence for Anomaly Detection
As with many other tasks, neural networks prove very effective for anomaly detection purposes.
Learning Long-Term Style-Preserving Blind Video Temporal Consistency
When trying to independently apply image-trained algorithms to successive frames in videos, noxious flickering tends to appear.
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