A random forest context-aware model beats a single decision tree at predicting mobile call responses, but the evaluation is only weakly controlled.
On the need for attention-aware systems: Measuring effects of interrup- tion on task performance, error rate, and affective state
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E-MIIM: An Ensemble Learning based Context-Aware Mobile Telephony Model for Intelligent Interruption Management
A random forest context-aware model beats a single decision tree at predicting mobile call responses, but the evaluation is only weakly controlled.