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Found 3 papers, 1 papers with code
Generating Data using Monte Carlo Dropout
In many such cases, generators of synthetic data with the same statistical and predictive properties as the actual data allow efficient simulations and development of tools and applications.
Prediction Uncertainty Estimation for Hate Speech Classification
As a result of social network popularity, in recent years, hate speech phenomenon has significantly increased.
Multiple Imputation for Biomedical Data using Monte Carlo Dropout Autoencoders
Due to complex experimental settings, missing values are common in biomedical data.
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