Albert Sledzianowski

According to our database, Albert Sledzianowski authored at least 10 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Machine Learning and Digital Biomarkers Can Detect Early Stages of Neurodegenerative Diseases.

Artur Chudzik, Albert Sledzianowski, Andrzej W. Przybyszewski

Sensors, March, 2024

2023

Machine Learning and Eye Movements Give Insights into Neurodegenerative Disease Mechanisms.

Andrzej W. Przybyszewski, Albert Sledzianowski, Artur Chudzik, Stanislaw Szlufik, Dariusz M. Koziorowski

Sensors, February, 2023

Universal Machine-Learning Processing Pattern for Computing in the Video-Oculography.

Albert Sledzianowski, Jerzy Pawel Nowacki, Konrad Sitarz, Andrzej W. Przybyszewski

Proceedings of the Computational Science - ICCS 2023, 2023

2022

Detecting True and Declarative Facial Emotions by Changes in Nonlinear Dynamics of Eye Movements.

Albert Sledzianowski, Jerzy Pawel Nowacki, Andrzej W. Przybyszewski, Krzysztof Urbanowicz

Proceedings of the Intelligent Information and Database Systems - 14th Asian Conference, 2022

2021

Face emotional responses correlate with chaotic dynamics of eye movements.

Albert Sledzianowski, Krzysztof Urbanowicz, Wojciech Glac, Renata Slota, Maria Wojtowicz, Monika Nowak, Andrzej W. Przybyszewski

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 25th International Conference KES-2021, 2021

2020

Parkinson's disease development prediction by c-granule computing compared to different AI methods.

Andrzej W. Przybyszewski, Albert Sledzianowski

J. Inf. Telecommun., 2020

Combining Results of Different Oculometric Tests Improved Prediction of Parkinson's Disease Development.

Albert Sledzianowski, Artur Szymanski, Aldona Drabik, Stanislaw Szlufik, Dariusz M. Koziorowski, Andrzej W. Przybyszewski

Proceedings of the Intelligent Information and Database Systems - 12th Asian Conference, 2020

2019

Predictions of Age and Mood Based on Changes in Saccades Parameters.

Albert Sledzianowski

Proceedings of the Man-Machine Interactions 6, 2019

Measurements of Antisaccades Parameters Can Improve the Prediction of Parkinson's Disease Progression.

Albert Sledzianowski, Artur Szymanski, Aldona Drabik, Stanislaw Szlufik, Dariusz M. Koziorowski, Andrzej W. Przybyszewski

Proceedings of the Intelligent Information and Database Systems - 11th Asian Conference, 2019

2018

Rough Set Data Mining Algorithms and Pursuit Eye Movement Measurements Help to Predict Symptom Development in Parkinson's Disease.

Albert Sledzianowski, Artur Szymanski, Stanislaw Szlufik, Dariusz M. Koziorowski

Proceedings of the Intelligent Information and Database Systems - 10th Asian Conference, 2018