Gunduz, H. 2021. An efficient stock market prediction model using hybrid feature reduction method based on variational autoencoders and recursive feature elimination. FINANCIAL INNOVATION , vol.7, no.1 .

Gunduz, H., (2021). An efficient stock market prediction model using hybrid feature reduction method based on variational autoencoders and recursive feature elimination. FINANCIAL INNOVATION , vol.7, no.1.

Gunduz, HAKAN. "An efficient stock market prediction model using hybrid feature reduction method based on variational autoencoders and recursive feature elimination," FINANCIAL INNOVATION , vol.7, no.1, 2021

Gunduz, HAKAN. "An efficient stock market prediction model using hybrid feature reduction method based on variational autoencoders and recursive feature elimination." FINANCIAL INNOVATION , vol.7, no.1, 2021

Gunduz, H. (2021) . "An efficient stock market prediction model using hybrid feature reduction method based on variational autoencoders and recursive feature elimination." FINANCIAL INNOVATION , vol.7, no.1.

@article{article, author={HAKAN GÜNDÜZ}, title={An efficient stock market prediction model using hybrid feature reduction method based on variational autoencoders and recursive feature elimination}, journal={FINANCIAL INNOVATION}, year=2021}