Agnieszka Wosiak

26 papers B 9C 6Journal 5Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Enhancing Network Intrusion Detection through Data Dimensionality Reduction Using Classical and Deep Learning Approaches. ISD Agnieszka Wosiak, Kacper Swiader, Rafal Wozniak, Adam Niewiadomski
2025	J	`jnl`	Impact of Temporal Window Shift on EEG-Based Machine Learning Models for Cognitive Fatigue Detection. Algorithms Agnieszka Wosiak, Michal Suminski, Katarzyna Zykwinska
2024	B	`conf`	Efficacy of feature selection and Classification algorithms in cancer remission using medical imaging. KES Malgorzata Krzywicka, Agnieszka Wosiak
2024	—	`conf`	New Presence-Dependent Binary Similarity Measures for Pairwise Label Comparisons in Multi-label Classification. ICCCI (2) Agnieszka Wosiak, Rafal Wozniak
2024	B	`conf`	New binary similarity measures for enhanced disease correlation analysis and comorbidity detection. KES Agnieszka Wosiak, Klaudia Gabryelczak, Katarzyna Zykwinska
2023	J	`jnl`	An application of raman spectroscopy in combination with machine learning to determine gastric cancer spectroscopy marker. Comput. Methods Programs Biomed. 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, Joanna Depciuch
2023	B	`conf`	Improving Automatic Recognition of Emotional States Using EEG Data Augmentation Techniques. KES Patrycja Szczakowska, Agnieszka Wosiak, Katarzyna Zykwinska
2023	B	`conf`	Sensitivity of Standard Evaluation Metrics for Disease Classification and Progression Assessment Based on Whole-Body Imaging. KES Malgorzata Krzywicka, Agnieszka Wosiak
2022	B	`conf`	Unsupervised emotional state recognition based on clustering of EEG features. KES Aleksandra Dura, Agnieszka Wosiak
2021	B	`conf`	Automated extraction of information from Polish resume documents in the IT recruitment process. KES Agnieszka Wosiak
2021	B	`conf`	EEG channel selection strategy for deep learning in emotion recognition. KES Aleksandra Dura, Agnieszka Wosiak
2021	—	`conf`	EEG-Based Emotion Recognition - Evaluation Methodology Revisited. ICCS (2) Slawomir Opalka, Bartlomiej Stasiak, Agnieszka Wosiak, Aleksandra Dura, Adam Wojciechowski
2021	—	`conf`	Reversed Correlation-Based Pairwised EEG Channel Selection in Emotional State Recognition. ICCS (3) Aleksandra Dura, Agnieszka Wosiak, Bartlomiej Stasiak, Adam Wojciechowski, Jan Rogowski
2021	B	`conf`	Using semantic enrichment methods in expert search system for recruitment process in IT corporation. KES Agnieszka Wosiak
2020	B	`conf`	Automated feature selection for obstructive sleep apnea syndrome diagnosis. KES Agnieszka Wosiak, Rafal Kowalski
2020	J	`jnl`	Hybrid Method of Automated EEG Signals' Selection Using Reversed Correlation Algorithm for Improved Classification of Emotions. Sensors Agnieszka Wosiak, Aleksandra Dura
2019	—	`conf`	Exploiting Label Interdependencies in Multi-label Classification. CORES Kinga Glinka, Agnieszka Wosiak, Danuta Zakrzewska
2018	C	`conf`	Imputing Missing Values for Improved Statistical Inference Applied to Intrauterine Growth Restriction Problem. FedCSIS Agnieszka Wosiak, Kinga Glinka, Agata Zamecznik, Katarzyna Niewiadomska-Jarosik
2018	J	`jnl`	Integrating Correlation-Based Feature Selection and Clustering for Improved Cardiovascular Disease Diagnosis. Complex. Agnieszka Wosiak, Danuta Zakrzewska
2018	J	`jnl`	Multi-label classification methods for improving comorbidities identification. Comput. Biol. Medicine Agnieszka Wosiak, Kinga Glinka, Danuta Zakrzewska
2017	C	`conf`	Preprocessing compensation techniques for improved classification of imbalanced medical datasets. FedCSIS Agnieszka Wosiak, Sylwia Karbowiak
2017	C	`conf`	Unsupervised feature selection using reversed correlation for improved medical diagnosis. INISTA Agnieszka Wosiak, Danuta Zakrzewska
2016	—	`conf`	Improving Children Diagnostics by Efficient Multi-label Classification Method. ITIB (1) Kinga Glinka, Agnieszka Wosiak, Danuta Zakrzewska
2016	C	`conf`	Supervised and Unsupervised Machine Learning for Improved Identification of Intrauterine Growth Restriction Types. FedCSIS Agnieszka Wosiak, Agata Zamecznik, Katarzyna Niewiadomska-Jarosik
2015	C	`conf`	On integrating clustering and statistical analysis for supporting cardiovascular disease diagnosis. FedCSIS Agnieszka Wosiak, Danuta Zakrzewska
2014	C	`conf`	Feature Selection for Classification Incorporating Less Meaningful Attributes in Medical Diagnostics. FedCSIS Agnieszka Wosiak, Danuta Zakrzewska