BEKTAŞ, J. Et Al. 2017. Classification of Real Imbalanced Cardiovascular Data Using Feature Selection and Sampling Methods: A Case Study with Neural Networks and Logistic Regression. INTERNATIONAL JOURNAL ON ARTIFICIAL INTELLIGENCE TOOLS , vol.26, no.6 .

BEKTAŞ, J., İBRİKÇİ, T., & ÖZCAN, İ. T., (2017). Classification of Real Imbalanced Cardiovascular Data Using Feature Selection and Sampling Methods: A Case Study with Neural Networks and Logistic Regression. INTERNATIONAL JOURNAL ON ARTIFICIAL INTELLIGENCE TOOLS , vol.26, no.6.

BEKTAŞ, JALE, TURGAY İBRİKÇİ, And İSMAİL TÜRKAY ÖZCAN. "Classification of Real Imbalanced Cardiovascular Data Using Feature Selection and Sampling Methods: A Case Study with Neural Networks and Logistic Regression," INTERNATIONAL JOURNAL ON ARTIFICIAL INTELLIGENCE TOOLS , vol.26, no.6, 2017

BEKTAŞ, JALE Et Al. "Classification of Real Imbalanced Cardiovascular Data Using Feature Selection and Sampling Methods: A Case Study with Neural Networks and Logistic Regression." INTERNATIONAL JOURNAL ON ARTIFICIAL INTELLIGENCE TOOLS , vol.26, no.6, 2017

BEKTAŞ, J. İBRİKÇİ, T. And ÖZCAN, İ. T. (2017) . "Classification of Real Imbalanced Cardiovascular Data Using Feature Selection and Sampling Methods: A Case Study with Neural Networks and Logistic Regression." INTERNATIONAL JOURNAL ON ARTIFICIAL INTELLIGENCE TOOLS , vol.26, no.6.

@article{article, author={JALE BEKTAŞ Et Al. }, title={Classification of Real Imbalanced Cardiovascular Data Using Feature Selection and Sampling Methods: A Case Study with Neural Networks and Logistic Regression}, journal={INTERNATIONAL JOURNAL ON ARTIFICIAL INTELLIGENCE TOOLS}, year=2017}