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Bressane A, Spalding M, Zwirn D, Loureiro AIS, Bankole AO, Negri RG, de Brito Junior I, Formiga JKS, Medeiros LCdC, Pampuch Bortolozo LA, et al. Fuzzy Artificial Intelligence—Based Model Proposal to Forecast Student Performance and Retention Risk in Engineering Education: An Alternative for Handling with Small Data. Sustainability. 2022; 14(21):14071. https://doi.org/10.3390/su142114071

Bressane, Adriano, Marianne Spalding, Daniel Zwirn, Anna Isabel Silva Loureiro, Abayomi Oluwatobiloba Bankole, Rogério Galante Negri, Irineu de Brito Junior, Jorge Kennety Silva Formiga, Liliam César de Castro Medeiros, Luana Albertani Pampuch Bortolozo, and et al. 2022. "Fuzzy Artificial Intelligence—Based Model Proposal to Forecast Student Performance and Retention Risk in Engineering Education: An Alternative for Handling with Small Data" Sustainability 14, no. 21: 14071. https://doi.org/10.3390/su142114071

Bressane, A., Spalding, M., Zwirn, D., Loureiro, A. I. S., Bankole, A. O., Negri, R. G., de Brito Junior, I., Formiga, J. K. S., Medeiros, L. C. d. C., Pampuch Bortolozo, L. A., & Moruzzi, R. (2022). Fuzzy Artificial Intelligence—Based Model Proposal to Forecast Student Performance and Retention Risk in Engineering Education: An Alternative for Handling with Small Data. Sustainability, 14(21), 14071. https://doi.org/10.3390/su142114071