Agnieszka Wosiak

According to our database, Agnieszka Wosiak authored at least 24 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

New binary similarity measures for enhanced disease correlation analysis and comorbidity detection.

Agnieszka Wosiak, Klaudia Gabryelczak, Katarzyna zykwinska

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 28th International Conference KES-2024, 2024

Efficacy of feature selection and Classification algorithms in cancer remission using medical imaging.

Malgorzata Krzywicka, Agnieszka Wosiak

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 28th International Conference KES-2024, 2024

New Presence-Dependent Binary Similarity Measures for Pairwise Label Comparisons in Multi-label Classification.

Agnieszka Wosiak, Rafal Wozniak

Proceedings of the Computational Collective Intelligence - 16th International Conference, 2024

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, Joanna Depciuch

Comput. Methods Programs Biomed., June, 2023

Improving Automatic Recognition of Emotional States Using EEG Data Augmentation Techniques.

Patrycja Szczakowska, Agnieszka Wosiak, Katarzyna zykwinska

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 27th International Conference KES-2023, 2023

Sensitivity of Standard Evaluation Metrics for Disease Classification and Progression Assessment Based on Whole-Body Imaging.

Malgorzata Krzywicka, Agnieszka Wosiak

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 27th International Conference KES-2023, 2023

2022

Unsupervised emotional state recognition based on clustering of EEG features.

Aleksandra Dura, Agnieszka Wosiak

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 26th International Conference KES-2022, 2022

2021

Automated extraction of information from Polish resume documents in the IT recruitment process.

Agnieszka Wosiak

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 25th International Conference KES-2021, 2021

Using semantic enrichment methods in expert search system for recruitment process in IT corporation.

Agnieszka Wosiak

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 25th International Conference KES-2021, 2021

EEG channel selection strategy for deep learning in emotion recognition.

Aleksandra Dura, Agnieszka Wosiak

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 25th International Conference KES-2021, 2021

EEG-Based Emotion Recognition - Evaluation Methodology Revisited.

Slawomir Opalka, Bartlomiej Stasiak, Agnieszka Wosiak, Aleksandra Dura, Adam Wojciechowski

Proceedings of the Computational Science - ICCS 2021, 2021

Reversed Correlation-Based Pairwised EEG Channel Selection in Emotional State Recognition.

Aleksandra Dura, Agnieszka Wosiak, Bartlomiej Stasiak, Adam Wojciechowski, Jan Rogowski

Proceedings of the Computational Science - ICCS 2021, 2021

2020

Hybrid Method of Automated EEG Signals' Selection Using Reversed Correlation Algorithm for Improved Classification of Emotions.

Agnieszka Wosiak, Aleksandra Dura

Sensors, 2020

Automated feature selection for obstructive sleep apnea syndrome diagnosis.

Agnieszka Wosiak, Rafal Kowalski

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 24th International Conference KES-2020, 2020

2019

Exploiting Label Interdependencies in Multi-label Classification.

Kinga Glinka, Agnieszka Wosiak, Danuta Zakrzewska

Proceedings of the Progress in Computer Recognition Systems, 2019

2018

Integrating Correlation-Based Feature Selection and Clustering for Improved Cardiovascular Disease Diagnosis.

Agnieszka Wosiak, Danuta Zakrzewska

Complex., 2018

Multi-label classification methods for improving comorbidities identification.

Agnieszka Wosiak, Kinga Glinka, Danuta Zakrzewska

Comput. Biol. Medicine, 2018

Imputing Missing Values for Improved Statistical Inference Applied to Intrauterine Growth Restriction Problem.

Agnieszka Wosiak, Kinga Glinka, Agata Zamecznik, Katarzyna Niewiadomska-Jarosik

Proceedings of the 2018 Federated Conference on Computer Science and Information Systems, 2018

2017

Unsupervised feature selection using reversed correlation for improved medical diagnosis.

Agnieszka Wosiak, Danuta Zakrzewska

Proceedings of the IEEE International Conference on INnovations in Intelligent SysTems and Applications, 2017

Preprocessing compensation techniques for improved classification of imbalanced medical datasets.

Agnieszka Wosiak, Sylwia Karbowiak

Proceedings of the 2017 Federated Conference on Computer Science and Information Systems, 2017

2016

Improving Children Diagnostics by Efficient Multi-label Classification Method.

Kinga Glinka, Agnieszka Wosiak, Danuta Zakrzewska

Proceedings of the Information Technologies in Medicine - 5th International Conference, 2016

Supervised and Unsupervised Machine Learning for Improved Identification of Intrauterine Growth Restriction Types.

Agnieszka Wosiak, Agata Zamecznik, Katarzyna Niewiadomska-Jarosik

Proceedings of the 2016 Federated Conference on Computer Science and Information Systems, 2016

2015

On integrating clustering and statistical analysis for supporting cardiovascular disease diagnosis.

Agnieszka Wosiak, Danuta Zakrzewska

Proceedings of the 2015 Federated Conference on Computer Science and Information Systems, 2015

2014

Feature Selection for Classification Incorporating Less Meaningful Attributes in Medical Diagnostics.

Agnieszka Wosiak, Danuta Zakrzewska

Proceedings of the 2014 Federated Conference on Computer Science and Information Systems, 2014