| 2020 | ACIIDS | Eye-Tracking and Machine Learning Significance in Parkinson's Disease Symptoms Prediction. | Artur Chudzik, Artur Szymanski, Jerzy Pawel Nowacki, Andrzej W. Przybyszewski |
| 2020 | ACIIDS | 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 |
| 2019 | ACIIDS | DTI Helps to Predict Parkinson's Patient's Symptoms Using Data Mining Techniques. | Artur Chudzik, Artur Szymanski, Jerzy Pawel Nowacki, Andrzej W. Przybyszewski |
| 2019 | ACIIDS | 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 |
| 2018 | ACIIDS | 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 |
| 2017 | ACIIDS | Building Classifiers for Parkinson's Disease Using New Eye Tribe Tracking Method. | Artur Szymanski, Stanislaw Szlufik, Dariusz M. Koziorowski, Andrzej W. Przybyszewski |