Výsledky vyhledávání - vector quantified variational autoencoder~

Investigation of process history and underlying phenomena associated with the synthesis of plutonium oxides using Vector Quantizing Variational Autoencoder Autor Hainje, Connor M., Nizinski, Cody A., Jackson, Shane W., Clark, Richard A., Heller, Forrest D., Schwerdt, Ian J., Buck, Edgar C., Meier, David E., Hagen, Alexander R.

“…) have shown success in analyzing process parameters of uranium oxides. Among other candidates, a neural network called Vector Quantized Variational Autoencoder (VQ-VAE…”
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Development of a deep learning-based error detection system without error dose maps in the patient-specific quality assurance of volumetric modulated arc therapy Autor Kimura, Yuto, Kadoya, Noriyuki, Oku, Yohei, Jingu, Keiichi

“… As a deep learning model, the variational autoencoder (VAE) was adopted. The anomaly of test data was quantified by calculating Mahalanobis distance based on the feature…”
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Hybrid Deep-Ensemble Network with VAE-Based Augmentation for Imbalanced Tabular Data Classification Autor Lee, Sang-Jeong, Bae, You-Suk

“…–Bidirectional Long Short-Term Memory (BiLSTM) encoder; variational autoencoder (VAE)-based minority augmentation…”
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Quantitative evaluation model of variable diagnosis for chest X-ray images using deep learning Autor Nakagawa, Shota, Ono, Naoaki, Hakamata, Yukichika, Ishii, Takashi, Saito, Akira, Yanagimoto, Shintaro, Kanaya, Shigehiko

“…The purpose of this study is to demonstrate the use of a deep learning model in quantitatively evaluating clinical findings typically subject to uncertain…”
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