Agnieszka Wosiak

Publication Activity (10 Years)

Years Active: 2014-2023
Publications (10 Years): 20

Top Topics

Emotional State

Classification Method

Disease Diagnosis

Top Venues

Publications

Patrycja Szczakowska, Agnieszka Wosiak, Katarzyna zykwinska
Improving Automatic Recognition of Emotional States Using EEG Data Augmentation Techniques. KES (2023)
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
An application of raman spectroscopy in combination with machine learning to determine gastric cancer spectroscopy marker. Comput. Methods Programs Biomed. 234 (2023)
Malgorzata Krzywicka, Agnieszka Wosiak
Sensitivity of Standard Evaluation Metrics for Disease Classification and Progression Assessment Based on Whole-Body Imaging. KES (2023)
Aleksandra Dura, Agnieszka Wosiak
Unsupervised emotional state recognition based on clustering of EEG features. KES (2022)
Aleksandra Dura, Agnieszka Wosiak
EEG channel selection strategy for deep learning in emotion recognition. KES (2021)
Aleksandra Dura, Agnieszka Wosiak, Bartlomiej Stasiak, Adam Wojciechowski, Jan Rogowski
Reversed Correlation-Based Pairwised EEG Channel Selection in Emotional State Recognition. ICCS (3) (2021)
Agnieszka Wosiak
Automated extraction of information from Polish resume documents in the IT recruitment process. KES (2021)
Slawomir Opalka, Bartlomiej Stasiak, Agnieszka Wosiak, Aleksandra Dura, Adam Wojciechowski
EEG-Based Emotion Recognition - Evaluation Methodology Revisited. ICCS (2) (2021)
Agnieszka Wosiak
Using semantic enrichment methods in expert search system for recruitment process in IT corporation. KES (2021)
Agnieszka Wosiak, Aleksandra Dura
Hybrid Method of Automated EEG Signals' Selection Using Reversed Correlation Algorithm for Improved Classification of Emotions. Sensors 20 (24) (2020)
Agnieszka Wosiak, Rafal Kowalski
Automated feature selection for obstructive sleep apnea syndrome diagnosis. KES (2020)
Kinga Glinka, Agnieszka Wosiak, Danuta Zakrzewska
Exploiting Label Interdependencies in Multi-label Classification. CORES (2019)
Agnieszka Wosiak, Danuta Zakrzewska
Integrating Correlation-Based Feature Selection and Clustering for Improved Cardiovascular Disease Diagnosis. Complex. 2018 (2018)
Agnieszka Wosiak, Kinga Glinka, Agata Zamecznik, Katarzyna Niewiadomska-Jarosik
Imputing Missing Values for Improved Statistical Inference Applied to Intrauterine Growth Restriction Problem. FedCSIS (2018)
Agnieszka Wosiak, Kinga Glinka, Danuta Zakrzewska
Multi-label classification methods for improving comorbidities identification. Comput. Biol. Medicine 100 (2018)
Agnieszka Wosiak, Sylwia Karbowiak
Preprocessing compensation techniques for improved classification of imbalanced medical datasets. FedCSIS (2017)
Agnieszka Wosiak, Danuta Zakrzewska
Unsupervised feature selection using reversed correlation for improved medical diagnosis. INISTA (2017)
Kinga Glinka, Agnieszka Wosiak, Danuta Zakrzewska
Improving Children Diagnostics by Efficient Multi-label Classification Method. ITIB (1) (2016)
Agnieszka Wosiak, Agata Zamecznik, Katarzyna Niewiadomska-Jarosik
Supervised and Unsupervised Machine Learning for Improved Identification of Intrauterine Growth Restriction Types. FedCSIS (2016)
Agnieszka Wosiak, Danuta Zakrzewska
On integrating clustering and statistical analysis for supporting cardiovascular disease diagnosis. FedCSIS (2015)
Agnieszka Wosiak, Danuta Zakrzewska
Feature Selection for Classification Incorporating Less Meaningful Attributes in Medical Diagnostics. FedCSIS (2014)