Kadri Medijainen

Orcid: 0000-0002-8184-711X

According to our database1, Kadri Medijainen authored at least 12 papers between 2018 and 2024.

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

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Comparison of one- two- and three-dimensional CNN models for drawing-test-based diagnostics of the Parkinson's disease.
Biomed. Signal Process. Control., January, 2024

LSTM-CNN: An efficient diagnostic network for Parkinson's disease utilizing dynamic handwriting analysis.
Comput. Methods Programs Biomed., 2024

2023
Deep Learning Based Segmentation of Luria's Alternating Series Test to Support Diagnostics of Parkinson's Disease.
Proceedings of the International Conference on Machine Learning and Applications, 2023

A Light-weight CNN Model for Efficient Parkinson's Disease Diagnostics.
Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023

2022
Tremor-related feature engineering for machine learning based Parkinson's disease diagnostics.
Biomed. Signal Process. Control., 2022

2021
Parkinson's Disease Diagnostics Based on the Analysis of Digital Sentence Writing Test.
Vietnam. J. Comput. Sci., 2021

CNN Based Analysis of the Luria's Alternating Series Test for Parkinson's Disease Diagnostics.
Proceedings of the Recent Challenges in Intelligent Information and Database Systems, 2021

2020
Sentence Writing Test for Parkinson Disease Modeling: Comparing Predictive Ability of Classifiers.
Proceedings of the Intelligent Information and Database Systems - 12th Asian Conference, 2020

2019
Determining Necessary Length of the Alternating Series Test for Parkinson's Disease Modelling.
Proceedings of the 2019 International Conference on Cyberworlds, 2019

2018
Gait Analysis Based Approach for Parkinson's Disease Modeling with Decision Tree Classifiers.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Detailed Analysis of the Luria's Alternating SeriesTests for Parkinson's Disease Diagnostics.
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

Interpretable Quantitative Description of the Digital Clock Drawing Test for Parkinson's Disease Modelling.
Proceedings of the 15th International Conference on Control, 2018


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