Feature Selection for Classification Incorporating Less Meaningful Attributes in Medical Diagnostics. - Agnieszka Wosiak; Danuta Zakrzewska (FedCSIS, 2014)

On integrating clustering and statistical analysis for supporting cardiovascular disease diagnosis. - Agnieszka Wosiak; Danuta Zakrzewska (FedCSIS, 2015)

Supervised and Unsupervised Machine Learning for Improved Identification of Intrauterine Growth Restriction Types. - Agnieszka Wosiak; Agata Zamecznik; Katarzyna Niewiadomska-Jarosik (FedCSIS, 2016)

Improving Children Diagnostics by Efficient Multi-label Classification Method. - Kinga Glinka; Agnieszka Wosiak; Danuta Zakrzewska (ITIB (1), 2016)

Preprocessing compensation techniques for improved classification of imbalanced medical datasets. - Agnieszka Wosiak; Sylwia Karbowiak (FedCSIS, 2017)

Unsupervised feature selection using reversed correlation for improved medical diagnosis. - Agnieszka Wosiak; Danuta Zakrzewska (INISTA, 2017)

Imputing Missing Values for Improved Statistical Inference Applied to Intrauterine Growth Restriction Problem. - Agnieszka Wosiak; Kinga Glinka; Agata Zamecznik; Katarzyna Niewiadomska-Jarosik (FedCSIS, 2018)

Multi-label classification methods for improving comorbidities identification. - Agnieszka Wosiak; Kinga Glinka; Danuta Zakrzewska (Comput. Biol. Medicine, 2018)

Integrating Correlation-Based Feature Selection and Clustering for Improved Cardiovascular Disease Diagnosis. - Agnieszka Wosiak; Danuta Zakrzewska (Complex., 2018)

Exploiting Label Interdependencies in Multi-label Classification. - Kinga Glinka; Agnieszka Wosiak; Danuta Zakrzewska (CORES, 2019)

Automated feature selection for obstructive sleep apnea syndrome diagnosis. - Agnieszka Wosiak; Rafal Kowalski (KES, 2020)

Hybrid Method of Automated EEG Signals' Selection Using Reversed Correlation Algorithm for Improved Classification of Emotions. - Agnieszka Wosiak; Aleksandra Dura (Sensors, 2020)

Reversed Correlation-Based Pairwised EEG Channel Selection in Emotional State Recognition. - Aleksandra Dura; Agnieszka Wosiak; Bartlomiej Stasiak; Adam Wojciechowski; Jan Rogowski (ICCS (3), 2021)

EEG-Based Emotion Recognition - Evaluation Methodology Revisited. - Slawomir Opalka; Bartlomiej Stasiak; Agnieszka Wosiak; Aleksandra Dura; Adam Wojciechowski (ICCS (2), 2021)

EEG channel selection strategy for deep learning in emotion recognition. - Aleksandra Dura; Agnieszka Wosiak (KES, 2021)

Using semantic enrichment methods in expert search system for recruitment process in IT corporation. - Agnieszka Wosiak (KES, 2021)

Automated extraction of information from Polish resume documents in the IT recruitment process. - Agnieszka Wosiak (KES, 2021)

Unsupervised emotional state recognition based on clustering of EEG features. - Aleksandra Dura; Agnieszka Wosiak (KES, 2022)

Sensitivity of Standard Evaluation Metrics for Disease Classification and Progression Assessment Based on Whole-Body Imaging. - Malgorzata Krzywicka; Agnieszka Wosiak (KES, 2023)

Improving Automatic Recognition of Emotional States Using EEG Data Augmentation Techniques. - Patrycja Szczakowska; Agnieszka Wosiak; Katarzyna zykwinska (KES, 2023)

An application of raman spectroscopy in combination with machine learning to determine gastric cancer spectroscopy marker. - Zozan Guleken; Pawel Jakubczyk; Wieslaw Paja; Krzysztof Pancerz; Agnieszka Wosiak; Ilhan Yaylim; Güldal Inal Gültekin; Nevzat Tarhan; Mehmet Tolgahan Hakan; Dilara Sönmez; Devrim Saribal; Soykan Arikan; et al. (Comput. Methods Programs Biomed., 2023)

New Presence-Dependent Binary Similarity Measures for Pairwise Label Comparisons in Multi-label Classification. - Agnieszka Wosiak; Rafal Wozniak (ICCCI (2), 2024)

Efficacy of feature selection and Classification algorithms in cancer remission using medical imaging. - Malgorzata Krzywicka; Agnieszka Wosiak (KES, 2024)

New binary similarity measures for enhanced disease correlation analysis and comorbidity detection. - Agnieszka Wosiak; Klaudia Gabryelczak; Katarzyna zykwinska (KES, 2024)