Handwritten dynamics assessment through convolutional neural networks: An application to Parkinson's disease identification - researchr publication related

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Clayton R. Pereira, Danilo R. Pereira, Gustavo H. Rosa, Victor Hugo C. de Albuquerque, Silke A. T. Weber, Christian Hook, João P. Papa. Handwritten dynamics assessment through convolutional neural networks: An application to Parkinson's disease identification. Artificial Intelligence in Medicine, 87:67-77, 2018. [doi]

The following publications are possibly variants of this publication:

Convolutional Neural Networks Applied for Parkinson's Disease IdentificationClayton Roberto Pereira, Danillo Roberto Pereira, João Paulo Papa, Gustavo H. Rosa, Xin-She Yang. In Andreas Holzinger, editor, Machine Learning for Health Informatics - State-of-the-Art and Future Challenges. Volume 9605 of Lecture Notes in Computer Science, pages 377-390, Springer, 2016. [doi]

Neighbour-based bag-of-samplings for person identification through handwritten dynamics and convolutional neural networksGustavo H. de Rosa, Mateus Roder, João P. Papa. es, 39(4), 2022. [doi]

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