Andrzej W. Przybyszewski

dblp:88/2957 · DBLP profile ↗
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17ranked-venue papers in the field
8as first author
4since 2021 · last 2023
0000-0002-0156-7856ORCID · verified

Domains — venue-derived; a paper can count in several

Database Systems & Data Management · 17 (8 first)
YearPublicationVenuePosition
2023 Investigating the Impact of Parkinson's Disease on Brain Computations: An Online Study of Healthy Controls and PD Patients
Artur Chudzik, Aldona Drabik, Andrzej W. Przybyszewski
ACIIDS (2)3
2023 Granular Computing to Forecast Alzheimer's Disease Distinctive Individual Development
Andrzej W. Przybyszewski, Jerzy Pawel Nowacki, Aldona Drabik
ACIIDS (1)1
2022 Rough Set Rules (RSR) Predominantly Based on Cognitive Tests Can Predict Alzheimer's Related Dementia
Andrzej W. Przybyszewski, Kamila Bojakowska, Jerzy Pawel Nowacki, Aldona Drabik
ACIIDS (1)1
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
ACIIDS (1)3
2020 Eye-Tracking and Machine Learning Significance in Parkinson's Disease Symptoms Prediction
Artur Chudzik, Artur Szymanski, Jerzy Pawel Nowacki, Andrzej W. Przybyszewski
ACIIDS (2)4
2020 IGrC: Cognitive and Motor Changes During Symptoms Development in Parkinson's Disease Patients
Andrzej W. Przybyszewski, Jerzy Pawel Nowacki, Aldona Drabik, Stanislaw Szlufik, Dariusz M. Koziorowski
ACIIDS (2)1
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
ACIIDS (2)6
2019 DTI Helps to Predict Parkinson's Patient's Symptoms Using Data Mining Techniques
Artur Chudzik, Artur Szymanski, Jerzy Pawel Nowacki, Andrzej W. Przybyszewski
ACIIDS (2)4
2019 Granular Computing (GC) Demonstrates Interactions Between Depression and Symptoms Development in Parkinson's Disease Patients
Andrzej W. Przybyszewski, Jerzy Pawel Nowacki, Aldona Drabik, Stanislaw Szlufik, Piotr Habela, Dariusz M. Koziorowski
ACIIDS (2)1
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
ACIIDS (2)6
2018 Rules Determine Therapy-Dependent Relationship in Symptoms Development of Parkinson's Disease Patients
Andrzej W. Przybyszewski, Stanislaw Szlufik, Piotr Habela, Dariusz M. Koziorowski
ACIIDS (2)1
2017 Rules Found by Multimodal Learning in One Group of Patients Help to Determine Optimal Treatment to Other Group of Parkinson's Patients
Andrzej W. Przybyszewski, Stanislaw Szlufik, Piotr Habela, Dariusz M. Koziorowski
ACIIDS (2)1
2017 Building Classifiers for Parkinson's Disease Using New Eye Tribe Tracking Method
Artur Szymanski, Stanislaw Szlufik, Dariusz M. Koziorowski, Andrzej W. Przybyszewski
ACIIDS (2)4
2015 Expert Group Collaboration Tool for Collective Diagnosis of Parkinson Disease
Marek Kulbacki, Jerzy Pawel Nowacki, Andrzej W. Przybyszewski, Jakub Segen, Magdalena Lahor, Bartosz Jablonski, Marzena Wojciechowska
ACIIDS (2)3
2015 Machine Learning on the Video Basis of Slow Pursuit Eye Movements Can Predict Symptom Development in Parkinson's Patients
Andrzej W. Przybyszewski, Stanislaw Szlufik, Justyna Dutkiewicz, Piotr Habela, Dariusz M. Koziorowski
ACIIDS (2)1
2014 Rough Set Based Classifications of Parkinson's Patients Gaits
Andrzej W. Przybyszewski, Magdalena Boczarska-Jedynak, Stanislaw Kwiek, Konrad W. Wojciechowski
ACIIDS (2)1
2013 Discrimination of the Micro Electrode Recordings for STN Localization during DBS Surgery in Parkinson's Patients
Konrad Ciecierski, Zbigniew W. Ras, Andrzej W. Przybyszewski
FQAS3