A weightless regression system for predicting multi-modal empathy

This work takes into account the benefits of machine learning in order to estimate the valence of emotions on the OMG Empathy dataset, considering the information obtained from face expressions and dialogue of interlocutors. RegressionWiSARD and ClusRegressionWiSARD n-tuple regressors and its ensembles were employed to this end. The best performance achieved among all the combinations of weightless neural models considered (evaluated using the CCC metric) was 0.25 in validation set of the Personalized Track.