Article Versions Notes

Janko V, Slapničar G, Dovgan E, Reščič N, Kolenik T, Gjoreski M, Smerkol M, Gams M, Luštrek M. Machine Learning for Analyzing Non-Countermeasure Factors Affecting Early Spread of COVID-19. International Journal of Environmental Research and Public Health. 2021; 18(13):6750. https://doi.org/10.3390/ijerph18136750

Janko, Vito, Gašper Slapničar, Erik Dovgan, Nina Reščič, Tine Kolenik, Martin Gjoreski, Maj Smerkol, Matjaž Gams, and Mitja Luštrek. 2021. "Machine Learning for Analyzing Non-Countermeasure Factors Affecting Early Spread of COVID-19" International Journal of Environmental Research and Public Health 18, no. 13: 6750. https://doi.org/10.3390/ijerph18136750

Janko, V., Slapničar, G., Dovgan, E., Reščič, N., Kolenik, T., Gjoreski, M., Smerkol, M., Gams, M., & Luštrek, M. (2021). Machine Learning for Analyzing Non-Countermeasure Factors Affecting Early Spread of COVID-19. International Journal of Environmental Research and Public Health, 18(13), 6750. https://doi.org/10.3390/ijerph18136750