Revisiting Strategies for Fitting Logistic Regression for Positive and Unlabeled Data. - Adam Wawrzenczyk; Jan Mielniczuk (Int. J. Appl. Math. Comput. Sci., 2022)

One-Class Classification Approach to Variational Learning from Biased Positive Unlabeled Data. - Jan Mielniczuk; Adam Wawrzenczyk (ECAI, 2023)

Outlier Detection Under False Omission Rate Control. - Adam Wawrzenczyk; Jan Mielniczuk (ICCS (3), 2023)

Augmented Prediction of a True Class for Positive Unlabeled Data Under Selection Bias. - Jan Mielniczuk; Adam Wawrzenczyk (ECAI, 2024)

Single-sample Versus Case-control Sampling Scheme for Positive Unlabeled Data: the Story of Two Scenarios. - Jan Mielniczuk; Adam Wawrzenczyk (Fundam. Informaticae, 2025)