Summary of Supervised Anomaly Detection For Complex Industrial Images, by Aimira Baitieva et al.
Supervised Anomaly Detection for Complex Industrial Imagesby Aimira Baitieva, David Hurych, Victor Besnier, Olivier BernardFirst…
Summary of An Attention-based Deep Generative Model For Anomaly Detection in Industrial Control Systems, by Mayra Macas et al.
An Attention-Based Deep Generative Model for Anomaly Detection in Industrial Control Systemsby Mayra Macas, Chunming…
Summary of Braced Fourier Continuation and Regression For Anomaly Detection, by Josef Sabuda
Braced Fourier Continuation and Regression for Anomaly Detectionby Josef SabudaFirst submitted to arxiv on: 6…
Summary of Anogan For Tabular Data: a Novel Approach to Anomaly Detection, by Aditya Singh and Pavan Reddy
AnoGAN for Tabular Data: A Novel Approach to Anomaly Detectionby Aditya Singh, Pavan ReddyFirst submitted…
Summary of Generic Multi-modal Representation Learning For Network Traffic Analysis, by Luca Gioacchini et al.
Generic Multi-modal Representation Learning for Network Traffic Analysisby Luca Gioacchini, Idilio Drago, Marco Mellia, Zied…
Summary of Position: Quo Vadis, Unsupervised Time Series Anomaly Detection?, by M. Saquib Sarfraz et al.
Position: Quo Vadis, Unsupervised Time Series Anomaly Detection?by M. Saquib Sarfraz, Mei-Yen Chen, Lukas Layer,…
Summary of Systematic Review: Anomaly Detection in Connected and Autonomous Vehicles, by J. R. V. Solaas et al.
Systematic Review: Anomaly Detection in Connected and Autonomous Vehiclesby J. R. V. Solaas, N. Tuptuk,…
Summary of A Data Mining-based Dynamical Anomaly Detection Method For Integrating with An Advance Metering System, by Sarit Maitra
A Data Mining-Based Dynamical Anomaly Detection Method for Integrating with an Advance Metering Systemby Sarit…
Summary of Subgraph2vec: a Random Walk-based Algorithm For Embedding Knowledge Graphs, by Elika Bozorgi et al.
Subgraph2vec: A random walk-based algorithm for embedding knowledge graphsby Elika Bozorgi, Saber Soleimani, Sakher Khalil…
Summary of Cvtgad: Simplified Transformer with Cross-view Attention For Unsupervised Graph-level Anomaly Detection, by Jindong Li et al.
CVTGAD: Simplified Transformer with Cross-View Attention for Unsupervised Graph-level Anomaly Detectionby Jindong Li, Qianli Xing,…