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Journal Articles
- 2024
[j3]Artur Chudzik
, Albert Sledzianowski, Andrzej W. Przybyszewski:
Machine Learning and Digital Biomarkers Can Detect Early Stages of Neurodegenerative Diseases. Sensors 24(5): 1572 (2024)- 2023
- [j2]Andrzej W. Przybyszewski, Albert Sledzianowski, Artur Chudzik, Stanislaw Szlufik, Dariusz M. Koziorowski:
Machine Learning and Eye Movements Give Insights into Neurodegenerative Disease Mechanisms. Sensors 23(4): 2145 (2023) - 2020
- [j1]Andrzej W. Przybyszewski, Artur Chudzik, Stanislaw Szlufik, Piotr Habela, Dariusz M. Koziorowski:
Comparison of Different Data Mining Methods to Determine Disease Progression in Dissimilar Groups of Parkinson's Patients. Fundam. Informaticae 176(2): 167-181 (2020)
Conference and Workshop Papers
- 2024
- [c4]Artur Chudzik, Jerzy Pawel Nowacki, Andrzej W. Przybyszewski:
Recognizing Patterns of Parkinson's Disease Using Online Trail Making Test and Response Dynamics - Preliminary Study. ICPR (2) 2024: 193-207 - 2023
- [c3]Artur Chudzik, Aldona Drabik, Andrzej W. Przybyszewski:
Investigating the Impact of Parkinson's Disease on Brain Computations: An Online Study of Healthy Controls and PD Patients. ACIIDS (2) 2023: 235-246 - 2020
- [c2]Artur Chudzik, Artur Szymanski, Jerzy Pawel Nowacki, Andrzej W. Przybyszewski:
Eye-Tracking and Machine Learning Significance in Parkinson's Disease Symptoms Prediction. ACIIDS (2) 2020: 537-547 - 2019
- [c1]Artur Chudzik, Artur Szymanski, Jerzy Pawel Nowacki, Andrzej W. Przybyszewski:
DTI Helps to Predict Parkinson's Patient's Symptoms Using Data Mining Techniques. ACIIDS (2) 2019: 615-623
Coauthor Index
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