| 2025 | ACIIDS | Concept Drift Scoring and Visualization. | Tomasz Orczyk, Benjamin Mensah Dadzie |
| 2025 | ACIIDS | Evaluation of the Effectiveness of Ranking Methods in Detecting Feature Drift in Artificial and Real Data. | Krzysztof Wrobel, Piotr Porwik, Tomasz Orczyk |
| 2024 | KES | Open-source Python repository for data drift analysis. | Krzysztof Wrobel, Piotr Porwik, Tomasz Orczyk |
| 2024 | KES | Adaptive classifier ensemble for multibiometric Verification. | Rafal Doroz, Tomasz Orczyk, Krzysztof Wrobel, Piotr Porwik |
| 2023 | KES | A new concept drift detection method based on the ranking of features in a data stream. | Krzysztof Wrobel, Piotr Porwik, Tomasz Orczyk, Benjamin Mensah Dadzie |
| 2023 | KES | A preliminary study on the dispersed classification system for recognizing safety of drivers' maneuvers. | Tomasz Orczyk, Piotr Porwik, Rafal Doroz |
| 2022 | ACIIDS | A Stable Method for Detecting Driver Maneuvers Using a Rule Classifier. | Piotr Porwik, Tomasz Orczyk, Rafal Doroz |
| 2022 | ACIIDS | Features of Hand-Drawn Spirals for Recognition of Parkinson's Disease. | Krzysztof Wrobel, Rafal Doroz, Piotr Porwik, Tomasz Orczyk, Agnieszka Betkowska Cavalcante, Monika Grajzer |
| 2021 | ICCS | Missing Value Imputation Method Using Separate Features Nearest Neighbors Algorithm. | Tomasz Orczyk, Rafal Doroz, Piotr Porwik |
| 2021 | IJCNN | Classifier learning from difficult data on the example of missing features. | Piotr Porwik, Tomasz Orczyk, Rafal Doroz |
| 2015 | ACIIDS | Fusion of Granular Computing and k -NN Classifiers for Medical Data Support System. | Marcin Bernas, Tomasz Orczyk, Piotr Porwik |
| 2015 | ICCCI | Investigation of the Impact of Missing Value Imputation Methods on the k-NN Classification Accuracy. | Tomasz Orczyk, Piotr Porwik |
| 2013 | ACIIDS | Adaptive Splitting and Selection Method for Noninvasive Recognition of Liver Fibrosis Stage. | Bartosz Krawczyk, Michal Wozniak, Tomasz Orczyk, Piotr Porwik |