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Agnieszka Wosiak
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2020 – today
- 2024
- [c18]Agnieszka Wosiak
, Rafal Wozniak
New Presence-Dependent Binary Similarity Measures for Pairwise Label Comparisons in Multi-label Classification. ICCCI (2) 2024: 269-279 - 2023
- [j4]Zozan Guleken
An application of raman spectroscopy in combination with machine learning to determine gastric cancer spectroscopy marker. Comput. Methods Programs Biomed. 234: 107523 (2023) - [c17]Patrycja Szczakowska, Agnieszka Wosiak, Katarzyna zykwinska:
Improving Automatic Recognition of Emotional States Using EEG Data Augmentation Techniques. KES 2023: 4225-4234 - [c16]Malgorzata Krzywicka, Agnieszka Wosiak:
Sensitivity of Standard Evaluation Metrics for Disease Classification and Progression Assessment Based on Whole-Body Imaging. KES 2023: 4314-4323 - 2022
- [c15]Aleksandra Dura
Unsupervised emotional state recognition based on clustering of EEG features. KES 2022: 3093-3102 - 2021
- [c14]Slawomir Opalka
EEG-Based Emotion Recognition - Evaluation Methodology Revisited. ICCS (2) 2021: 525-539 - [c13]Aleksandra Dura
Reversed Correlation-Based Pairwised EEG Channel Selection in Emotional State Recognition. ICCS (3) 2021: 528-541 - [c12]Agnieszka Wosiak:
Using semantic enrichment methods in expert search system for recruitment process in IT corporation. KES 2021: 2422-2431 - [c11]Agnieszka Wosiak:
Automated extraction of information from Polish resume documents in the IT recruitment process. KES 2021: 2432-2439 - [c10]Aleksandra Dura
EEG channel selection strategy for deep learning in emotion recognition. KES 2021: 2789-2796 - 2020
- [j3]Agnieszka Wosiak
Hybrid Method of Automated EEG Signals' Selection Using Reversed Correlation Algorithm for Improved Classification of Emotions. Sensors 20(24): 7083 (2020) - [c9]Agnieszka Wosiak, Rafal Kowalski:
Automated feature selection for obstructive sleep apnea syndrome diagnosis. KES 2020: 1430-1439
2010 – 2019
- 2019
- [c8]Kinga Glinka, Agnieszka Wosiak
Exploiting Label Interdependencies in Multi-label Classification. CORES 2019: 57-66 - 2018
- [j2]Agnieszka Wosiak
Multi-label classification methods for improving comorbidities identification. Comput. Biol. Medicine 100: 279-288 (2018) - [j1]Agnieszka Wosiak
Integrating Correlation-Based Feature Selection and Clustering for Improved Cardiovascular Disease Diagnosis. Complex. 2018: 2520706:1-2520706:11 (2018) - [c7]Agnieszka Wosiak
Imputing Missing Values for Improved Statistical Inference Applied to Intrauterine Growth Restriction Problem. FedCSIS 2018: 129-135 - 2017
- [c6]Agnieszka Wosiak
Preprocessing compensation techniques for improved classification of imbalanced medical datasets. FedCSIS 2017: 203-211 - [c5]Agnieszka Wosiak
Unsupervised feature selection using reversed correlation for improved medical diagnosis. INISTA 2017: 18-22 - 2016
- [c4]Agnieszka Wosiak
Supervised and Unsupervised Machine Learning for Improved Identification of Intrauterine Growth Restriction Types. FedCSIS 2016: 323-329 - [c3]Kinga Glinka, Agnieszka Wosiak
Improving Children Diagnostics by Efficient Multi-label Classification Method. ITIB (1) 2016: 253-266 - 2015
- [c2]Agnieszka Wosiak
On integrating clustering and statistical analysis for supporting cardiovascular disease diagnosis. FedCSIS 2015: 303-310 - 2014
- [c1]Agnieszka Wosiak
Feature Selection for Classification Incorporating Less Meaningful Attributes in Medical Diagnostics. FedCSIS 2014: 235-240
Coauthor Index
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last updated on 2024-09-21 23:38 CEST by the dblp team
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