KARAKAYA, G. Et Al. 2015. A minimum redundancy maximum relevance input variable selection approach to identify equally informative subsets for hydrological models. World Environmental and Water Resources Congress .

KARAKAYA, G., GALELLİ, S., & AHİPAŞAOĞLU, S. D., (2015). A minimum redundancy maximum relevance input variable selection approach to identify equally informative subsets for hydrological models . World Environmental and Water Resources Congress

KARAKAYA, GÜLŞAH, Stefano GALELLİ, And Selin Damla AHİPAŞAOĞLU. "A minimum redundancy maximum relevance input variable selection approach to identify equally informative subsets for hydrological models," World Environmental and Water Resources Congress, 2015

KARAKAYA, GÜLŞAH Et Al. "A minimum redundancy maximum relevance input variable selection approach to identify equally informative subsets for hydrological models." World Environmental and Water Resources Congress , 2015

KARAKAYA, G. GALELLİ, S. And AHİPAŞAOĞLU, S. D. (2015) . "A minimum redundancy maximum relevance input variable selection approach to identify equally informative subsets for hydrological models." World Environmental and Water Resources Congress .

@conferencepaper{conferencepaper, author={GÜLŞAH KARAKAYA Et Al. }, title={A minimum redundancy maximum relevance input variable selection approach to identify equally informative subsets for hydrological models}, congress name={World Environmental and Water Resources Congress}, city={}, country={}, year={2015}}