Artur Szymanski

18 papers Journal 8Unranked 10
YearRankTypeTitle / Venue / Authors
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 — conf
Eye-Tracking and Machine Learning Significance in Parkinson's Disease Symptoms Prediction.
ACIIDS (2)
Artur Chudzik, Artur Szymanski, Jerzy Pawel Nowacki, Andrzej W. Przybyszewski
2019 — conf
DTI Helps to Predict Parkinson's Patient's Symptoms Using Data Mining Techniques.
ACIIDS (2)
Artur Chudzik, Artur Szymanski, Jerzy Pawel Nowacki, Andrzej W. Przybyszewski
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
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
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
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 J jnl
Data mining and neural network simulations can help to improve Deep Brain Stimulation effects in Parkinson Disease.
Comput. Sci.
Artur Szymanski
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
Fuzzy Rough Sets Theory Applied to Parameters of Eye Movements Can Help to Predict Effects of Different Treatments in Parkinson's Patients.
PReMI
Anna Kubis, Artur Szymanski, Andrzej W. Przybyszewski
2014 — conf
Rough Set Rules Help to Optimize Parameters of Deep Brain Stimulation in Parkinson's Patients.
Brain Informatics and Health
Artur Szymanski, Andrzej W. Przybyszewski
2013 J jnl
Cyclic partitions of complete nonuniform hypergraphs and complete multipartite hypergraphs.
Discret. Math. Theor. Comput. Sci.
Shonda Gosselin, Artur Szymanski, Adam Pawel Wojda
2010 J jnl
Cyclic Partitions of Complete Uniform Hypergraphs.
Electron. J. Comb.
Artur Szymanski, A. Pawel Wojda
2009 J jnl
A note on
Discuss. Math. Graph Theory
Artur Szymanski, A. Pawel Wojda
2009 J jnl
A note on t-complementing permutations for graphs.
Inf. Process. Lett.
Lech Adamus, Beata Orchel, Artur Szymanski, A. Pawel Wojda, Malgorzata Zwonek
2009 J jnl
Self-complementing permutations of k-uniform hypergraphs.
Discret. Math. Theor. Comput. Sci.
Artur Szymanski, A. Pawel Wojda
2006 J jnl
Self-complementary hypergraphs and their self-complementing permutations.
Electron. Notes Discret. Math.
Artur Szymanski, A. Pawel Wojda