Comparisons of automated machine learning (AutoML) in predicting whistleblowing of academic dishonesty with demographic and theory of planned behavior

Rahman, Rahayu Abdul; Masrom, Suraya; Mohamad, Masurah; Sari, Eka Nurmala; Saragih, Fitriani; Rahman, Abdullah Sani Abd

doi:10.1016/j.mex.2023.102364

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Comparisons of automated machine learning (AutoML) in predicting whistleblowing of academic dishonesty with demographic and theory of planned behavior

Cited by 3 publications

References 30 publications

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Using AutoML and generative AI to predict the type of wildfire propagation in Canadian conifer forests

The Idealized Machine Learning Pipeline (IMLP) for Advancing Reproducibility in Machine Learning

Data Reconstruction for the Faulty Sensor in Chiller Based on Automatic Machine Learning Frameworks

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