Dariusz M. Koziorowski

20 papers B 1Journal 5Unranked 13
YearRankTypeTitle / Venue / Authors
2023 J jnl
Machine Learning and Eye Movements Give Insights into Neurodegenerative Disease Mechanisms.
Sensors
Andrzej W. Przybyszewski, Albert Sledzianowski, Artur Chudzik, Stanislaw Szlufik, Dariusz M. Koziorowski
2021 B conf
Concept of Parkinson Leading to Understanding Mechanisms of the Disease.
ICCCI
Andrzej W. Przybyszewski, Jerzy Pawel Nowacki, Aldona Drabik, Stanislaw Szlufik, Dariusz M. Koziorowski
2020 J jnl
A Multimodal Approach to the Quantification of Kinetic Tremor in Parkinson's Disease.
Sensors
Mateusz Szumilas, Krzysztof Lewenstein, Elzbieta Slubowska, Stanislaw Szlufik, Dariusz M. Koziorowski
2020 — conf
Combining Results of Different Oculometric Tests Improved Prediction of Parkinson's Disease Development.
ACIIDS (2)
Albert Sledzianowski, Artur Szymanski, Aldona Drabik, Stanislaw Szlufik, Dariusz M. Koziorowski, Andrzej W. Przybyszewski
2020 J jnl
Comparison of Different Data Mining Methods to Determine Disease Progression in Dissimilar Groups of Parkinson's Patients.
Fundam. Informaticae
Andrzej W. Przybyszewski, Artur Chudzik, Stanislaw Szlufik, Piotr Habela, Dariusz M. Koziorowski
2020 — conf
IGrC: Cognitive and Motor Changes During Symptoms Development in Parkinson's Disease Patients.
ACIIDS (2)
Andrzej W. Przybyszewski, Jerzy Pawel Nowacki, Aldona Drabik, Stanislaw Szlufik, Dariusz M. Koziorowski
2019 — conf
Granular Computing (GC) Demonstrates Interactions Between Depression and Symptoms Development in Parkinson's Disease Patients.
ACIIDS (2)
Andrzej W. Przybyszewski, Jerzy Pawel Nowacki, Aldona Drabik, Stanislaw Szlufik, Piotr Habela, Dariusz M. Koziorowski
2019 — conf
Measurements of Antisaccades Parameters Can Improve the Prediction of Parkinson's Disease Progression.
ACIIDS (2)
Albert Sledzianowski, Artur Szymanski, Aldona Drabik, Stanislaw Szlufik, Dariusz M. Koziorowski, Andrzej W. Przybyszewski
2019 — ch.
Multimodal Learning Determines Rules of Disease Development in Longitudinal Course with Parkinson's Patients.
Intelligent Methods and Big Data in Industrial Applications
Andrzej W. Przybyszewski, Stanislaw Szlufik, Piotr Habela, Dariusz M. Koziorowski
2018 — conf
Rough Set Data Mining Algorithms and Pursuit Eye Movement Measurements Help to Predict Symptom Development in Parkinson's Disease.
ACIIDS (2)
Albert Sledzianowski, Artur Szymanski, Stanislaw Szlufik, Dariusz M. Koziorowski
2018 — conf
Rules Determine Therapy-Dependent Relationship in Symptoms Development of Parkinson's Disease Patients.
ACIIDS (2)
Andrzej W. Przybyszewski, Stanislaw Szlufik, Piotr Habela, Dariusz M. Koziorowski
2017 — conf
Building Classifiers for Parkinson's Disease Using New Eye Tribe Tracking Method.
ACIIDS (2)
Artur Szymanski, Stanislaw Szlufik, Dariusz M. Koziorowski, Andrzej W. Przybyszewski
2017 — conf
Rough Set Rules Determine Disease Progressions in Different Groups of Parkinson's Patients.
PReMI
Andrzej W. Przybyszewski, Stanislaw Szlufik, Piotr Habela, Dariusz M. Koziorowski
2017 — conf
Rules Found by Multimodal Learning in One Group of Patients Help to Determine Optimal Treatment to Other Group of Parkinson's Patients.
ACIIDS (2)
Andrzej W. Przybyszewski, Stanislaw Szlufik, Piotr Habela, Dariusz M. Koziorowski
2017 J jnl
Webcam-based system for video-oculography.
IET Comput. Vis.
Jacek Naruniec, Michal Wieczorek, Stanislaw Szlufik, Dariusz M. Koziorowski, Michal Tomaszewski, Marek Kowalski, Andrzej W. Przybyszewski
2016 — conf
Building Intelligent Classifiers for Doctor-Independent Parkinson's Disease Treatments.
ITIB (1)
Artur Szymanski, Stanislaw Szlufik, Dariusz M. Koziorowski, Piotr Habela, Andrzej W. Przybyszewski
2016 J jnl
Multimodal Learning and Intelligent Prediction of Symptom Development in Individual Parkinson's Patients.
Sensors
Andrzej W. Przybyszewski, Mark A. Kon, Stanislaw Szlufik, Artur Szymanski, Piotr Habela, Dariusz M. Koziorowski
2015 — conf
Data mining using SPECT can predict neurological symptom development in Parkinson's patients.
CYBCONF
Artur Szymanski, Stanislaw Szlufik, Justyna Dutkiewicz, Dariusz M. Koziorowski, Marek Cacko, Michal Nieniecki, Andrzej W. Przybyszewski
2015 — conf
Machine Learning on the Video Basis of Slow Pursuit Eye Movements Can Predict Symptom Development in Parkinson's Patients.
ACIIDS (2)
Andrzej W. Przybyszewski, Stanislaw Szlufik, Justyna Dutkiewicz, Piotr Habela, Dariusz M. Koziorowski
2014 — conf
Data Mining and Machine Learning on the Basis from Reflexive Eye Movements Can Predict Symptom Development in Individual Parkinson's Patients.
MICAI (2)
Andrzej W. Przybyszewski, Mark A. Kon, Stanislaw Szlufik, Justyna Dutkiewicz, Piotr Habela, Dariusz M. Koziorowski