MOCCA: Multilayer One-Class Classification for Anomaly Detection

Computer Science

• Class Classification 100%
• Anomaly Detection 100%
• Neural Network 33%
• Autoencoder 33%
• Detect Anomaly 33%
• Deep Learning Model 33%
• Training Process 16%
• Training Data 16%
• Model Analysis 16%
• Feature Space 16%
• Data Distribution 16%
• Superior Performance 16%
• Reference Point 16%
• Intermediate Representation 16%
• Deep Architecture 16%
• Deep Feature 16%
• Scientific Field 16%
• Incomplete Knowledge 16%
• Unexpected Event 16%

Keyphrases

• One-class Classification 100%