TAORMİNA, R. Et Al. 2016. An information theoretic approach to select alternate subsets of predictors for data-driven hydrological models. JOURNAL OF HYDROLOGY , vol.542 , 18-34.

TAORMİNA, R., GALELLİ, S., KARAKAYA, G., & Ahipasaoglu, S. D., (2016). An information theoretic approach to select alternate subsets of predictors for data-driven hydrological models. JOURNAL OF HYDROLOGY , vol.542, 18-34.

TAORMİNA, RİCCARDO Et Al. "An information theoretic approach to select alternate subsets of predictors for data-driven hydrological models," JOURNAL OF HYDROLOGY , vol.542, 18-34, 2016

TAORMİNA, RİCCARDO Et Al. "An information theoretic approach to select alternate subsets of predictors for data-driven hydrological models." JOURNAL OF HYDROLOGY , vol.542, pp.18-34, 2016

TAORMİNA, R. Et Al. (2016) . "An information theoretic approach to select alternate subsets of predictors for data-driven hydrological models." JOURNAL OF HYDROLOGY , vol.542, pp.18-34.

@article{article, author={RİCCARDO TAORMİNA Et Al. }, title={An information theoretic approach to select alternate subsets of predictors for data-driven hydrological models}, journal={JOURNAL OF HYDROLOGY}, year=2016, pages={18-34} }