Auflistung Nach Schlagwort "Generative adversarial networks"
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EndoVAE: Generating Endoscopic Images with a Variational Autoencoder
(2022)The generalization performance of deep learning models is closely associated with the number and diversity of data available upon training. While in many applications there is a large number of data available in public, ... -
Wasserstein Generative Adversarial Network to Address the Imbalanced Data Problem in Real-Time Crash Risk Prediction
(2022)Real-time crash risk prediction models aim to identify pre-crash conditions as part of active traffic safety management. However, traditional models which were mainly developed through matched case-control sampling have ...