3 papers
cs.LG2020
Multiple Imputation for Biomedical Data using Monte Carlo Dropout Autoencoders
Kristian Miok, Dong Nguyen-Doan, Marko Robnik-Šikonja +1
Due to complex experimental settings, missing values are common in biomedical data. To handle this issue, many methods have been proposed, from ignoring incomplete instances to var…
stat.ML2019
Generating Data using Monte Carlo Dropout
Kristian Miok, Dong Nguyen-Doan, Daniela Zaharie +1
For many analytical problems the challenge is to handle huge amounts of available data. However, there are data science application areas where collecting information is difficult…
cs.CL2019
Prediction Uncertainty Estimation for Hate Speech Classification
Kristian Miok, Dong Nguyen-Doan, Blaž Škrlj +2
As a result of social network popularity, in recent years, hate speech phenomenon has significantly increased. Due to its harmful effect on minority groups as well as on large comm…