Agnieszka Wosiak

Orcid: 0000-0001-6124-1236

According to our database1, Agnieszka Wosiak authored at least 21 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
An application of raman spectroscopy in combination with machine learning to determine gastric cancer spectroscopy marker.
Comput. Methods Programs Biomed., June, 2023

Improving Automatic Recognition of Emotional States Using EEG Data Augmentation Techniques.
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.
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.
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.
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.
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.
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.
Proceedings of the Computational Science - ICCS 2021, 2021

Reversed Correlation-Based Pairwised EEG Channel Selection in Emotional State Recognition.
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.
Sensors, 2020

Automated feature selection for obstructive sleep apnea syndrome diagnosis.
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.
Proceedings of the Progress in Computer Recognition Systems, 2019

2018
Integrating Correlation-Based Feature Selection and Clustering for Improved Cardiovascular Disease Diagnosis.
Complex., 2018

Multi-label classification methods for improving comorbidities identification.
Comput. Biol. Medicine, 2018

Imputing Missing Values for Improved Statistical Inference Applied to Intrauterine Growth Restriction Problem.
Proceedings of the 2018 Federated Conference on Computer Science and Information Systems, 2018

2017
Unsupervised feature selection using reversed correlation for improved medical diagnosis.
Proceedings of the IEEE International Conference on INnovations in Intelligent SysTems and Applications, 2017

Preprocessing compensation techniques for improved classification of imbalanced medical datasets.
Proceedings of the 2017 Federated Conference on Computer Science and Information Systems, 2017

2016
Improving Children Diagnostics by Efficient Multi-label Classification Method.
Proceedings of the Information Technologies in Medicine - 5th International Conference, 2016

Supervised and Unsupervised Machine Learning for Improved Identification of Intrauterine Growth Restriction Types.
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.
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.
Proceedings of the 2014 Federated Conference on Computer Science and Information Systems, 2014


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