| 2024 | ICCCI | New Presence-Dependent Binary Similarity Measures for Pairwise Label Comparisons in Multi-label Classification. | Agnieszka Wosiak, Rafal Wozniak |
| 2024 | KES | Efficacy of feature selection and Classification algorithms in cancer remission using medical imaging. | Malgorzata Krzywicka, Agnieszka Wosiak |
| 2024 | KES | New binary similarity measures for enhanced disease correlation analysis and comorbidity detection. | Agnieszka Wosiak, Klaudia Gabryelczak, Katarzyna Zykwinska |
| 2023 | KES | Sensitivity of Standard Evaluation Metrics for Disease Classification and Progression Assessment Based on Whole-Body Imaging. | Malgorzata Krzywicka, Agnieszka Wosiak |
| 2023 | KES | Improving Automatic Recognition of Emotional States Using EEG Data Augmentation Techniques. | Patrycja Szczakowska, Agnieszka Wosiak, Katarzyna Zykwinska |
| 2022 | KES | Unsupervised emotional state recognition based on clustering of EEG features. | Aleksandra Dura, Agnieszka Wosiak |
| 2021 | ICCS | Reversed Correlation-Based Pairwised EEG Channel Selection in Emotional State Recognition. | Aleksandra Dura, Agnieszka Wosiak, Bartlomiej Stasiak, Adam Wojciechowski, Jan Rogowski |
| 2021 | ICCS | EEG-Based Emotion Recognition - Evaluation Methodology Revisited. | Slawomir Opalka, Bartlomiej Stasiak, Agnieszka Wosiak, Aleksandra Dura, Adam Wojciechowski |
| 2021 | KES | EEG channel selection strategy for deep learning in emotion recognition. | Aleksandra Dura, Agnieszka Wosiak |
| 2021 | KES | Using semantic enrichment methods in expert search system for recruitment process in IT corporation. | Agnieszka Wosiak |
| 2021 | KES | Automated extraction of information from Polish resume documents in the IT recruitment process. | Agnieszka Wosiak |
| 2020 | KES | Automated feature selection for obstructive sleep apnea syndrome diagnosis. | Agnieszka Wosiak, Rafal Kowalski |
| 2018 | FedCSIS | Imputing Missing Values for Improved Statistical Inference Applied to Intrauterine Growth Restriction Problem. | Agnieszka Wosiak, Kinga Glinka, Agata Zamecznik, Katarzyna Niewiadomska-Jarosik |
| 2017 | FedCSIS | Preprocessing compensation techniques for improved classification of imbalanced medical datasets. | Agnieszka Wosiak, Sylwia Karbowiak |
| 2017 | INISTA | Unsupervised feature selection using reversed correlation for improved medical diagnosis. | Agnieszka Wosiak, Danuta Zakrzewska |
| 2016 | FedCSIS | Supervised and Unsupervised Machine Learning for Improved Identification of Intrauterine Growth Restriction Types. | Agnieszka Wosiak, Agata Zamecznik, Katarzyna Niewiadomska-Jarosik |
| 2015 | FedCSIS | On integrating clustering and statistical analysis for supporting cardiovascular disease diagnosis. | Agnieszka Wosiak, Danuta Zakrzewska |
| 2014 | FedCSIS | Feature Selection for Classification Incorporating Less Meaningful Attributes in Medical Diagnostics. | Agnieszka Wosiak, Danuta Zakrzewska |