Bravo, L., Hagh, A., Joseph, R., Kambe, H., Vaessen, J., & Xiang, Y. [ca. 2023]. Machine Learning in Evaluative Synthesis : Lessons from Private Sector Evaluation in the World Bank Group. In IEG Independent Evaluations and Annual Reviews [Cd]. Washington, D.C: The World Bank. https://doi.org/10.1596/40054
ISO-690 (author-date, English)BRAVO, Leonardo, HAGH, Ariya, JOSEPH, Roshin, KAMBE, Hiroaki, VAESSEN, Jos und XIANG, Yuan, 2023. Machine Learning in Evaluative Synthesis : Lessons from Private Sector Evaluation in the World Bank Group. Washington, D.C: The World Bank.
Modern Language Association 9th editionBravo, L., A. Hagh, R. Joseph, H. Kambe, J. Vaessen, und Y. Xiang. „Machine Learning in Evaluative Synthesis : Lessons from Private Sector Evaluation in the World Bank Group“. IEG Independent Evaluations and Annual Reviews, cd, The World Bank, 2023, https://doi.org/10.1596/40054.
Mohr Siebeck - Recht (Deutsch - Österreich)Bravo, Leonardo/Hagh, Ariya/Joseph, Roshin/Kambe, Hiroaki/Vaessen, Jos/Xiang, Yuan: Machine Learning in Evaluative Synthesis : Lessons from Private Sector Evaluation in the World Bank Group, Washington, D.C 2023.
Emerald - HarvardBravo, L., Hagh, A., Joseph, R., Kambe, H., Vaessen, J. und Xiang, Y. (2023), Machine Learning in Evaluative Synthesis : Lessons from Private Sector Evaluation in the World Bank Group, IEG Independent Evaluations and Annual Reviews, Bd. , The World Bank, Washington, D.C, verfügbar unter:https://doi.org/10.1596/40054.