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1. Augmentation of positive and unlabeled data using generative adversarial networks Aleš Papič, 2025, doctoral dissertation Keywords: machine learning, deep learning, generative adversarial networks, data augmentation, positive and unlabeled learning, binary classification |
2. Bias-reduced estimators of conditional odds ratios in matched case-control studies with unmatched confounding Rok Blagus, 2023, original scientific article Keywords: statistics, linear models, bias, bias correction, Cox proportional hazards model, data augmentation, logistic regression model, relative risk estimation |
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