| 2024 | KES | Identification of outlier cases in information systems using selection of relevant intervals of attribute values. | Jaromir Sarzynski, Szymon Paja, Wieslaw Paja |
| 2024 | KES | Application of binary subnetworks to classify images potentially containing melanocytic skin lesions. | Jaroslaw Szkola, Tomasz Paja, Wieslaw Paja |
| 2023 | KES | A Preliminary Research on Automatic Identification of Melanocytic Skin Lesions from Digital Images. | Wieslaw Paja, Jaroslaw Szkola, Krzysztof Pancerz, Jaromir Sarzynski, Magdalena zychowska |
| 2023 | KES | Determining Reference Spectra for Medical Diagnosis Using Clustering Methods. | Krzysztof Pancerz, Wieslaw Paja, Pawel Jakubczyk |
| 2022 | KES | COVID-19 antibody level analysis with feature selection approach. | Wieslaw Paja, Krzysztof Pancerz, Catalin Stoean |
| 2022 | KES | Semantic segmentation of fetal heart components in second trimester echocardiography. | Catalin Stoean, Nebojsa Bacanin, Wieslaw Paja, Ruxandra Stoean, Dominic Iliescu, Ciprian Patru, Rodica Nagy |
| 2021 | KES | Identification of Relevant Medical Parameter Values in Information Systems using Fuzzy Approach. | Wieslaw Paja |
| 2020 | KES | A Constructive Induction of Feature using Random Forest Approach. | Wieslaw Paja, Maksymilian Knap |
| 2019 | KES | Tree-based generational feature selection in medical applications. | Wieslaw Paja |
| 2018 | KES | Determining Importance of Ranges of MMPI Scales Using Fuzzification and Relevant Attribute Selection. | Krzysztof Pancerz, Wieslaw Paja, Jaromir Sarzynski, Jerzy Gomula |
| 2017 | FedCSIS | Feature Selection Methods Applied to Severe Brain Damages Data. | Wieslaw Paja, Krzysztof Pancerz |
| 2016 | FedCSIS | Random Forest Feature Selection for Data Coming from Evaluation Sheets of Subjects with ASDs. | Krzysztof Pancerz, Wieslaw Paja, Jerzy Gomula |
| 2015 | FedCSIS | Medical diagnosis support and accuracy improvement by application of total scoring from feature selection approach. | Wieslaw Paja |
| 2013 | HSI | Melanoma important features selection using random forest approach. | Wieslaw Paja, Mariusz Wrzesien |