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ORCIDAlbert Sledzianowski
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2020 – today
- 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) - [c8]Albert Sledzianowski, Jerzy Pawel Nowacki, Konrad Sitarz, Andrzej W. Przybyszewski:
Novel Machine Learning Pipeline for Real-Time Oculometry. ACIIDS (Companion) 2023: 498-509 - [c7]Albert Sledzianowski, Jerzy Pawel Nowacki, Konrad Sitarz, Andrzej W. Przybyszewski:
Universal Machine-Learning Processing Pattern for Computing in the Video-Oculography. ICCS (3) 2023: 200-212 - 2022
- [c6]Albert Sledzianowski, Jerzy Pawel Nowacki, Andrzej W. Przybyszewski, Krzysztof Urbanowicz:
Detecting True and Declarative Facial Emotions by Changes in Nonlinear Dynamics of Eye Movements. ACIIDS (1) 2022: 106-116 - 2021
- [c5]Albert Sledzianowski, Krzysztof Urbanowicz, Wojciech Glac, Renata Slota, Maria Wojtowicz, Monika Nowak, Andrzej W. Przybyszewski:
Face emotional responses correlate with chaotic dynamics of eye movements. KES 2021: 2881-2892 - 2020
- [j1]Andrzej W. Przybyszewski, Albert Sledzianowski:
Parkinson's disease development prediction by c-granule computing compared to different AI methods. J. Inf. Telecommun. 4(4): 425-439 (2020) - [c4]Albert Sledzianowski, Artur Szymanski, Aldona Drabik, Stanislaw Szlufik, Dariusz M. Koziorowski, Andrzej W. Przybyszewski:
Combining Results of Different Oculometric Tests Improved Prediction of Parkinson's Disease Development. ACIIDS (2) 2020: 517-526
2010 – 2019
- 2019
- [c3]Albert Sledzianowski, Artur Szymanski, Aldona Drabik, Stanislaw Szlufik, Dariusz M. Koziorowski, Andrzej W. Przybyszewski:
Measurements of Antisaccades Parameters Can Improve the Prediction of Parkinson's Disease Progression. ACIIDS (2) 2019: 602-614 - [c2]Albert Sledzianowski:
Predictions of Age and Mood Based on Changes in Saccades Parameters. ICMMI 2019: 196-205 - 2018
- [c1]Albert Sledzianowski, Artur Szymanski, Stanislaw Szlufik, Dariusz M. Koziorowski:
Rough Set Data Mining Algorithms and Pursuit Eye Movement Measurements Help to Predict Symptom Development in Parkinson's Disease. ACIIDS (2) 2018: 428-435
Coauthor Index
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