This paper presents a supervised machine learning approach for summarizing legal documents. A commercial system for the analysis and summarization of legal documents provided us wi...
We present a method for training a similarity metric from data. The method can be used for recognition or verification applications where the number of categories is very large an...
This paper discusses two sets of automatic musical genre classification experiments. Promising research directions are then proposed based on the results of these experiments. The...
The paper presents the results of an empirical study on users' behaviors when they were asked to perform a task and its variant in a usability test. Specific focus was set on...
Abstract. This paper introduces an approximate fuzzy representation to FuzzyUCS, a Michigan-style Learning Fuzzy-Classifier System that evolves linguistic fuzzy rules, and studies ...
Albert Orriols-Puig, Jorge Casillas, Ester Bernad&...