Barhoumi, K., Iyer, T., Li, J., & Mo Choi, S. (2022). Overcoming Data Sparsity: A Machine Learning Approach to Track the Real-Time Impact of COVID-19 in Sub-Saharan Africa. International Monetary Fund.
Citace podle Chicago (17th ed.)Barhoumi, Karim, Tara Iyer, Jiakun Li, a Seung Mo Choi. Overcoming Data Sparsity: A Machine Learning Approach to Track the Real-Time Impact of COVID-19 in Sub-Saharan Africa. Washington, D.C.: International Monetary Fund, 2022.
Citace podle MLA (8th ed.)Barhoumi, Karim, et al. Overcoming Data Sparsity: A Machine Learning Approach to Track the Real-Time Impact of COVID-19 in Sub-Saharan Africa. International Monetary Fund, 2022.
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