Random Forest Missing Data Imputation Methods: Implications for Predicting At-Risk Students. - Bevan I. Smith; Charles Chimedza; Jacoba H. Bührmann (ISDA, 2019)

Global and Individual Treatment Effects Using Machine Learning Methods. - Bevan I. Smith; Charles Chimedza; Jacoba H. Bührmann (Int. J. Artif. Intell. Educ., 2020)

Individualized help for at-risk students using model-agnostic and counterfactual explanations. - Bevan I. Smith; Charles Chimedza; Jacoba H. Bührmann (Educ. Inf. Technol., 2022)