| 2025 | ECAI | A Generalized Approach to Label Shift: The Conditional Probability Shift Model. | Pawel Teisseyre, Jan Mielniczuk |
| 2024 | ECAI | Augmented Prediction of a True Class for Positive Unlabeled Data Under Selection Bias. | Jan Mielniczuk, Adam Wawrzenczyk |
| 2024 | ECAI | Verifying the Selected Completely at Random Assumption in Positive-Unlabeled Learning. | Pawel Teisseyre, Konrad Furmanczyk, Jan Mielniczuk |
| 2023 | ECAI | Double Logistic Regression Approach to Biased Positive-Unlabeled Data. | Konrad Furmanczyk, Jan Mielniczuk, Wojciech Rejchel, Pawel Teisseyre |
| 2023 | ECAI | One-Class Classification Approach to Variational Learning from Biased Positive Unlabeled Data. | Jan Mielniczuk, Adam Wawrzenczyk |
| 2023 | FedCSIS | Enhancing naive classifier for positive unlabeled data based on logistic regression approach. | Mateusz Platek, Jan Mielniczuk |
| 2023 | ICCS | Outlier Detection Under False Omission Rate Control. | Adam Wawrzenczyk, Jan Mielniczuk |
| 2021 | ICCS | Detection of Conditional Dependence Between Multiple Variables Using Multiinformation. | Jan Mielniczuk, Pawel Teisseyre |
| 2021 | MDAI | Multiple Testing of Conditional Independence Hypotheses Using Information-Theoretic Approach. | Malgorzata Lazecka, Jan Mielniczuk |
| 2020 | ICCS | Distributions of a General Reduced-Order Dependence Measure and Conditional Independence Testing. | Mariusz Kubkowski, Malgorzata Lazecka, Jan Mielniczuk |
| 2020 | ICCS | Testing the Significance of Interactions in Genetic Studies Using Interaction Information and Resampling Technique. | Pawel Teisseyre, Jan Mielniczuk, Michal J. Dabrowski |
| 2020 | ICCS | Different Strategies of Fitting Logistic Regression for Positive and Unlabelled Data. | Pawel Teisseyre, Jan Mielniczuk, Malgorzata Lazecka |