Pedram Daee

User Modelling for Avoiding Overfitting in Interactive Knowledge Elicitation for Prediction

In human-in-the-loop machine learning, the user provides information beyond that in the training data. Many algorithms and user interfaces have been designed to optimize and facilitate this human-machine interaction; however, fewer studies have addressed the potential defects the designs can cause. Effective interact…