Machine learning and deep have been used extensively to classify physical surfaces through images time-series contact data. However, these methods rely on human expertise entail the time-consuming processes of data parameter tuning. To overcome challenges, we propose an easily implemented framework that can directly handle heterogeneous sources for classification tasks. Our data-versus-data app...