Çinaroğlu, S. 2022. Learning from unbalanced catastrophic out-of-pocket health expenditure dataset: Blending SMOTE-boosting with ensemble models. Journal of Experimental & Theoretical Artificial Intelligence , vol.1, no.1 , 1-18.

Çinaroğlu, S., (2022). Learning from unbalanced catastrophic out-of-pocket health expenditure dataset: Blending SMOTE-boosting with ensemble models. Journal of Experimental & Theoretical Artificial Intelligence , vol.1, no.1, 1-18.

Çinaroğlu, SONGÜL. " Learning from unbalanced catastrophic out-of-pocket health expenditure dataset: Blending SMOTE-boosting with ensemble models," Journal of Experimental & Theoretical Artificial Intelligence , vol.1, no.1, 1-18, 2022

Çinaroğlu, SONGÜL. " Learning from unbalanced catastrophic out-of-pocket health expenditure dataset: Blending SMOTE-boosting with ensemble models." Journal of Experimental & Theoretical Artificial Intelligence , vol.1, no.1, pp.1-18, 2022

Çinaroğlu, S. (2022) . " Learning from unbalanced catastrophic out-of-pocket health expenditure dataset: Blending SMOTE-boosting with ensemble models." Journal of Experimental & Theoretical Artificial Intelligence , vol.1, no.1, pp.1-18.

@article{article, author={SONGÜL ÇINAROĞLU}, title={ Learning from unbalanced catastrophic out-of-pocket health expenditure dataset: Blending SMOTE-boosting with ensemble models}, journal={ Journal of Experimental & Theoretical Artificial Intelligence}, year=2022, pages={1-18} }