GÜNDÜZ, O. H. 2021. An efficient dimensionality reduction method using filter-based feature selection and variational autoencoders on Parkinson's disease classification. BIOMEDICAL SIGNAL PROCESSING AND CONTROL , vol.66 .

GÜNDÜZ, O. H., (2021). An efficient dimensionality reduction method using filter-based feature selection and variational autoencoders on Parkinson's disease classification. BIOMEDICAL SIGNAL PROCESSING AND CONTROL , vol.66.

GÜNDÜZ, HAKAN. "An efficient dimensionality reduction method using filter-based feature selection and variational autoencoders on Parkinson's disease classification," BIOMEDICAL SIGNAL PROCESSING AND CONTROL , vol.66, 2021

GÜNDÜZ, HAKAN. "An efficient dimensionality reduction method using filter-based feature selection and variational autoencoders on Parkinson's disease classification." BIOMEDICAL SIGNAL PROCESSING AND CONTROL , vol.66, 2021

GÜNDÜZ, O. H. (2021) . "An efficient dimensionality reduction method using filter-based feature selection and variational autoencoders on Parkinson's disease classification." BIOMEDICAL SIGNAL PROCESSING AND CONTROL , vol.66.

@article{article, author={HAKAN GÜNDÜZ}, title={An efficient dimensionality reduction method using filter-based feature selection and variational autoencoders on Parkinson's disease classification}, journal={BIOMEDICAL SIGNAL PROCESSING AND CONTROL}, year=2021}