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Classification ensembles for multivariate functional data with application to mouse movements in web surveys
We propose new ensemble models for multivariate functional data classification as combinations of semi-metric-based weak learners.
Predicting respondent difficulty in web surveys: A machine-learning approach based on mouse movement features
We use data from a survey on respondents' employment history and demographic information, in which we experimentally manipulate the difficulty of several questions.
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