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Frontiers4mon
Enhanced heart sound anomaly detection via WCOS: a semi-supervised framework integrating wavelet, autoencoder and SVM - Frontiers
Keywords: heart sound detection, semi-supervised anomaly detection, sample imbalance, convolutional autoencoder, one classification support vector machine. Citation: Zeng P, Kang S, Fan F and Liu J ...
IEEE1y
Memory-Augmented Autoencoder With Adaptive Reconstruction and Sample Attribution Mining for Hyperspectral Anomaly Detection
Hyperspectral anomaly detection (HAD) aims to identify targets that are significantly different from their surrounding background, employing an unsupervised paradigm. Recently, detectors based on ...
leewayhertz1y
AI in anomaly detection: Use cases, methods, algorithms and solution - LeewayHertz
Explore the power of AI in anomaly detection, diving into the different approaches used and some real-world use cases. Learn how AI uncovers hidden patterns in data and improves detection of anomalies ...
Visual Studio Magazine4y
Autoencoder Anomaly Detection Using PyTorch - Visual Studio Magazine
Autoencoder Anomaly Detection Using PyTorch. Dr. James McCaffrey of Microsoft Research provides full code and step-by-step examples of anomaly detection, used to find items in a dataset that are ...