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  1. 1
    Experimental investigation of the predictive capabilities of data driven modeling techniques in hydrology - Part 1: Concepts and methodology

    Experimental investigation of the predictive capabilities of data driven modeling techniques in hydrology - Part 1: Concepts and methodology by A. Elshorbagy, G. Corzo, S. Srinivasulu, D. P. Solomatine

    Published 2010-10-01
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  2. 2
    Experimental investigation of the predictive capabilities of data driven modeling techniques in hydrology - Part 2: Application

    Experimental investigation of the predictive capabilities of data driven modeling techniques in hydrology - Part 2: Application by A. Elshorbagy, G. Corzo, S. Srinivasulu, D. P. Solomatine

    Published 2010-10-01
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    Article
  3. 3
    Epidemiología y patogenicidad de Blastocystis hominis

    Epidemiología y patogenicidad de Blastocystis hominis by G Chourio-Lozano, I Díaz, M Casas, M Sánchez, L Torres, M Luna, G Corzo

    Published 1999-05-01
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  4. 4
    Multivariate regression trees as an “explainable machine learning” approach to explore relationships between hydroclimatic characteristics and agricultural and hydrological drought severity: case of study Cesar River basin

    Multivariate regression trees as an “explainable machine learning” approach to explore relationships between hydroclimatic characteristics and agricultural and hydrological drought... by A. Paez-Trujilo, A. Paez-Trujilo, A. Paez-Trujilo, J. Cañon, B. Hernandez, G. Corzo, D. Solomatine, D. Solomatine, D. Solomatine

    Published 2023-12-01
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