Abut, F. Et Al. 2016. Minimum-Redundancy Maximum-Relevance Feature Selection for Creating New Hybrid Models for Predicting Maximal Oxygen Uptake Using Support Vector Machines. Fourth International Symposium on Engineering, Artificial Intelligence and Applications , (Girne, Cyprus (Kktc)), 21-22.

Abut, F., AKAY, M. F., & George, J., (2016). Minimum-Redundancy Maximum-Relevance Feature Selection for Creating New Hybrid Models for Predicting Maximal Oxygen Uptake Using Support Vector Machines . Fourth International Symposium on Engineering, Artificial Intelligence and Applications (pp.21-22). Girne, Cyprus (Kktc)

Abut, Fatih, MEHMET FATİH AKAY, And James George. "Minimum-Redundancy Maximum-Relevance Feature Selection for Creating New Hybrid Models for Predicting Maximal Oxygen Uptake Using Support Vector Machines," Fourth International Symposium on Engineering, Artificial Intelligence and Applications, Girne, Cyprus (Kktc), 2016

Abut, Fatih Et Al. "Minimum-Redundancy Maximum-Relevance Feature Selection for Creating New Hybrid Models for Predicting Maximal Oxygen Uptake Using Support Vector Machines." Fourth International Symposium on Engineering, Artificial Intelligence and Applications , Girne, Cyprus (Kktc), pp.21-22, 2016

Abut, F. AKAY, M. F. And George, J. (2016) . "Minimum-Redundancy Maximum-Relevance Feature Selection for Creating New Hybrid Models for Predicting Maximal Oxygen Uptake Using Support Vector Machines." Fourth International Symposium on Engineering, Artificial Intelligence and Applications , Girne, Cyprus (Kktc), pp.21-22.

@conferencepaper{conferencepaper, author={Fatih Abut Et Al. }, title={Minimum-Redundancy Maximum-Relevance Feature Selection for Creating New Hybrid Models for Predicting Maximal Oxygen Uptake Using Support Vector Machines}, congress name={Fourth International Symposium on Engineering, Artificial Intelligence and Applications}, city={Girne}, country={Cyprus (Kktc)}, year={2016}, pages={21-22} }