We present a method for explaining predictions for individual instances. The presented approach is general and can be used with all classification models that output probabilities...
Abstract. Taking inspiration from approximate ranking, this paper investigates the use of rank-based Support Vector Machine as surrogate model within CMA-ES, enforcing the invarian...
Most sentiment analysis approaches use as baseline a support vector machines (SVM) classifier with binary unigram weights. In this paper, we explore whether more sophisticated fea...
Abstract. In this study we propose a methodology to investigate possible prosody and voice quality correlates of social signals, and test-run it on annotated naturalistic recording...
Author identification models fall into two major categories according to the way they handle the training texts: profile-based models produce one representation per author while in...