An efficient dimensionality reduction method using filter-based feature selection and variational autoencoders on Parkinson's disease classification

Research article (Biomedical Signal Processing and Control, 2021) · cited 116× · AI/ML
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An efficient dimensionality reduction method using filter-based feature selection and variational autoencoders on Parkinson's disease classification

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An efficient dimensionality reduction method using filter-based feature selection and variational autoencoders on Parkinson's disease classification is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). An efficient dimensionality reduction method using filter-based feature selection and variational autoencoders on Parkinson's disease classification. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-efficient-dimensionality-reduction-method-using-filter-based-feature-selection-and-variational-autoencoders-on-parkin
MLA “An efficient dimensionality reduction method using filter-based feature selection and variational autoencoders on Parkinson's disease classification.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-efficient-dimensionality-reduction-method-using-filter-based-feature-selection-and-variational-autoencoders-on-parkin.
BibTeX @misc{4ortxyz_an-efficient-dimensionality-reduction-method-using-filter-based-feature-selection-and-variational-autoencoders-on-parkin_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An efficient dimensionality reduction method using filter-based feature selection and variational autoencoders on Parkinson's disease classification}}, year = {2026}, url = {https://4ort.xyz/entity/an-efficient-dimensionality-reduction-method-using-filter-based-feature-selection-and-variational-autoencoders-on-parkin}, note = {Accessed: 2026-05-24}}
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