Dariusz M. Koziorowski

Orcid: 0000-0001-8920-8024

According to our database1, Dariusz M. Koziorowski authored at least 20 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Machine Learning and Eye Movements Give Insights into Neurodegenerative Disease Mechanisms.
Sensors, February, 2023

2021
Concept of Parkinson Leading to Understanding Mechanisms of the Disease.
Proceedings of the Computational Collective Intelligence - 13th International Conference, 2021

2020
A Multimodal Approach to the Quantification of Kinetic Tremor in Parkinson's Disease.
Sensors, 2020

Comparison of Different Data Mining Methods to Determine Disease Progression in Dissimilar Groups of Parkinson's Patients.
Fundam. Informaticae, 2020

Combining Results of Different Oculometric Tests Improved Prediction of Parkinson's Disease Development.
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.
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.
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.
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.
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.
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.
Proceedings of the Intelligent Information and Database Systems - 10th Asian Conference, 2018

2017
Webcam-based system for video-oculography.
IET Comput. Vis., 2017

Rough Set Rules Determine Disease Progressions in Different Groups of Parkinson's Patients.
Proceedings of the Pattern Recognition and Machine Intelligence, 2017

Building Classifiers for Parkinson's Disease Using New Eye Tribe Tracking Method.
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.
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.
Sensors, 2016

Building Intelligent Classifiers for Doctor-Independent Parkinson's Disease Treatments.
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.
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.
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.
Proceedings of the Nature-Inspired Computation and Machine Learning, 2014


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