ÖZTÜRK BİRİM, Ş. Et Al. 2024. The derived demand for advertising expenses and implications on sustainability: a comparative study using deep learning and traditional machine learning methods. Annals of Operations Research , vol.339, no.1-2 , 131-161.

ÖZTÜRK BİRİM, Ş., Kazancoglu, I., Mangla, S. K., Kahraman, A., & Kazançoğlu, Y., (2024). The derived demand for advertising expenses and implications on sustainability: a comparative study using deep learning and traditional machine learning methods. Annals of Operations Research , vol.339, no.1-2, 131-161.

ÖZTÜRK BİRİM, ŞULE Et Al. "The derived demand for advertising expenses and implications on sustainability: a comparative study using deep learning and traditional machine learning methods," Annals of Operations Research , vol.339, no.1-2, 131-161, 2024

ÖZTÜRK BİRİM, ŞULE Ö. Et Al. "The derived demand for advertising expenses and implications on sustainability: a comparative study using deep learning and traditional machine learning methods." Annals of Operations Research , vol.339, no.1-2, pp.131-161, 2024

ÖZTÜRK BİRİM, Ş. Et Al. (2024) . "The derived demand for advertising expenses and implications on sustainability: a comparative study using deep learning and traditional machine learning methods." Annals of Operations Research , vol.339, no.1-2, pp.131-161.

@article{article, author={ŞULE ÖZTÜRK BİRİM Et Al. }, title={The derived demand for advertising expenses and implications on sustainability: a comparative study using deep learning and traditional machine learning methods}, journal={Annals of Operations Research}, year=2024, pages={131-161} }