Dariusz M. Koziorowski

According to our database, Dariusz M. Koziorowski authored at least 20 papers between 2014 and 2023.

Collaborative distances:

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

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

2021

Concept of Parkinson Leading to Understanding Mechanisms of the Disease.

Andrzej W. Przybyszewski, Jerzy Pawel Nowacki, Aldona Drabik, Stanislaw Szlufik, Dariusz M. Koziorowski

Proceedings of the Computational Collective Intelligence - 13th International Conference, 2021

2020

A Multimodal Approach to the Quantification of Kinetic Tremor in Parkinson's Disease.

Mateusz Szumilas, Krzysztof Lewenstein, Elzbieta Slubowska, Stanislaw Szlufik, Dariusz M. Koziorowski

Sensors, 2020

Comparison of Different Data Mining Methods to Determine Disease Progression in Dissimilar Groups of Parkinson's Patients.

Andrzej W. Przybyszewski, Artur Chudzik, Stanislaw Szlufik, Piotr Habela, Dariusz M. Koziorowski

Fundam. Informaticae, 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

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

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

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

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

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

Multimodal Learning Determines Rules of Disease Development in Longitudinal Course with Parkinson's Patients.

Andrzej W. Przybyszewski, Stanislaw Szlufik, Piotr Habela, Dariusz M. Koziorowski

Proceedings of the Intelligent Methods and Big Data in Industrial Applications., 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

Rules Determine Therapy-Dependent Relationship in Symptoms Development of Parkinson's Disease Patients.

Andrzej W. Przybyszewski, Stanislaw Szlufik, Piotr Habela, Dariusz M. Koziorowski

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

2017

Webcam-based system for video-oculography.

Jacek Naruniec, Michal Wieczorek, Stanislaw Szlufik, Dariusz M. Koziorowski, Michal Tomaszewski, Marek Kowalski, Andrzej W. Przybyszewski

IET Comput. Vis., 2017

Rough Set Rules Determine Disease Progressions in Different Groups of Parkinson's Patients.

Andrzej W. Przybyszewski, Stanislaw Szlufik, Piotr Habela, Dariusz M. Koziorowski

Proceedings of the Pattern Recognition and Machine Intelligence, 2017

Building Classifiers for Parkinson's Disease Using New Eye Tribe Tracking Method.

Artur Szymanski, Stanislaw Szlufik, Dariusz M. Koziorowski, Andrzej W. Przybyszewski

Proceedings of the Intelligent Information and Database Systems - 9th Asian Conference, 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

Proceedings of the Intelligent Information and Database Systems - 9th Asian Conference, 2017

2016

Multimodal Learning and Intelligent Prediction of Symptom Development in Individual Parkinson's Patients.

Andrzej W. Przybyszewski, Mark A. Kon, Stanislaw Szlufik, Artur Szymanski, Piotr Habela, Dariusz M. Koziorowski

Sensors, 2016

Building Intelligent Classifiers for Doctor-Independent Parkinson's Disease Treatments.

Artur Szymanski, Stanislaw Szlufik, Dariusz M. Koziorowski, Piotr Habela, Andrzej W. Przybyszewski

Proceedings of the Information Technologies in Medicine - 5th International Conference, 2016

2015

Data mining using SPECT can predict neurological symptom development in Parkinson's patients.

Artur Szymanski, Stanislaw Szlufik, Justyna Dutkiewicz, Dariusz M. Koziorowski, Marek Cacko, Michal Nieniecki, Andrzej W. Przybyszewski

Proceedings of the 2nd IEEE International Conference on Cybernetics, 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

Proceedings of the Intelligent Information and Database Systems - 7th Asian Conference, 2015

2014

Data Mining and Machine Learning on the Basis from Reflexive Eye Movements Can Predict Symptom Development in Individual Parkinson's Patients.

Andrzej W. Przybyszewski, Mark A. Kon, Stanislaw Szlufik, Justyna Dutkiewicz, Piotr Habela, Dariusz M. Koziorowski

Proceedings of the Nature-Inspired Computation and Machine Learning, 2014