Motivated to address the inconsistency between the essential i.i.d. assumption in machine learning theory and the data heterogeneity in real-world applications, we propose a novel calibrated ensemble ...

Supervised machine learning is often used to detect phishing websites. However, the scarcity of phishing data for training purposes limits the classifier's performance. Further, machine learning ...

To investigate the intrinsic role of EPS in fouling, a predictive membrane fouling model was developed using a supervised learning algorithm trained on experimental EPS data sets. After hyperparameter ...