Explaining Anomalies Detected by Autoencoders Using SHAP

Computer Science

• Autoencoder 100%
• Shapley Additive Explanation 100%
• Detected Anomaly 100%
• Anomaly Detection 66%
• Detection Algorithm 66%
• Deep Learning 33%
• Supervised Learning 33%
• False Positive Rate 33%
• Outlier Detection 33%
• Manual Validation 33%

Keyphrases

• Autoencoder 100%
• Shapley Additive Explanations 100%
• False Positive Rate 33%
• Deep Learning Algorithm 33%
• Game Theory 33%
• Anomaly Detection 33%
• Outlier Detection 33%
• Unsupervised Model 33%
• Anomaly Detection System 33%
• Supervised Learning Model 33%
• Manual Validation 33%
• Results Validation 33%