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Found 6 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.
Benchmarking Robustness of Deep Reinforcement Learning approaches to Online Portfolio Management
Deep Reinforcement Learning approaches to Online Portfolio Selection have grown in popularity in recent years.
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.
Quantum Semantic Correlations in Hate and Non-Hate Speeches
This paper aims to apply the notions of quantum geometry and correlation to the typification of semantic relations between couples of keywords in different documents.
