Albert Sledzianowski

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 11

Top Topics

Chaotic Dynamics

Neurodegenerative Diseases

Mining Algorithm

Top Venues

Publications

Artur Chudzik, Albert Sledzianowski, Andrzej W. Przybyszewski
Machine Learning and Digital Biomarkers Can Detect Early Stages of Neurodegenerative Diseases. Sensors 24 (5) (2024)
Albert Sledzianowski, Jerzy Pawel Nowacki, Konrad Sitarz, Andrzej W. Przybyszewski
Universal Machine-Learning Processing Pattern for Computing in the Video-Oculography. ICCS (3) (2023)
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) (2023)
Albert Sledzianowski, Jerzy Pawel Nowacki, Konrad Sitarz, Andrzej W. Przybyszewski
Novel Machine Learning Pipeline for Real-Time Oculometry. ACIIDS (Companion) (2023)
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)
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)
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)
Andrzej W. Przybyszewski, Albert Sledzianowski
Parkinson's disease development prediction by c-granule computing compared to different AI methods. J. Inf. Telecommun. 4 (4) (2020)
Albert Sledzianowski
Predictions of Age and Mood Based on Changes in Saccades Parameters. ICMMI (2019)
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)
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)