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A comparison between ANN and SVM classifiers for Parkinson's disease by using a model-free computer-assisted handwriting analysis based on biometric signals.

, , , , , , , , , , and . IJCNN, page 1-8. IEEE, (2018)

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Assessment and Rating of Movement Impairment in Parkinson's Disease Using a Low-Cost Vision-Based System., , , , , , and . ICIC (3), volume 10956 of Lecture Notes in Computer Science, page 777-788. Springer, (2018)Computer Vision and EMG-Based Handwriting Analysis for Classification in Parkinson's Disease., , , , , , , and . ICIC (2), volume 10362 of Lecture Notes in Computer Science, page 493-503. Springer, (2017)A RGB-D Sensor Based Tool for Assessment and Rating of Movement Disorders., , , , , , , , , and 3 other author(s). AHFE (6), volume 590 of Advances in Intelligent Systems and Computing, page 110-118. Springer, (2017)On the Analysis of the Relationship Between Alkaline Water Usage and Muscle Fatigue Recovery., , , , , , , , and . AHFE (15), volume 1215 of Advances in Intelligent Systems and Computing, page 26-31. Springer, (2020)Biometric handwriting analysis to support Parkinson's Disease assessment and grading., , , , , , , and . BMC Medical Informatics Decis. Mak., 19-S (9): 252 (2019)A Model-Free Computer-Assisted Handwriting Analysis Exploiting Optimal Topology ANNs on Biometric Signals in Parkinson's Disease Research., , , , , , and . ICIC (2), volume 10955 of Lecture Notes in Computer Science, page 650-655. Springer, (2018)A comparison between ANN and SVM classifiers for Parkinson's disease by using a model-free computer-assisted handwriting analysis based on biometric signals., , , , , , , , , and 1 other author(s). IJCNN, page 1-8. IEEE, (2018)