A crucial issue for Machine Learning and Data Mining is Feature Selection, selecting the relevant features in order to focus the learning search. A relaxed setting for Feature Sele...
We explore how recent data-mining-based tools developed in domains such as biomedicine or text-mining for extracting interesting knowledge from sequence data could be applied to pe...
Gilbert Ritschard, Alexis Gabadinho, Nicolas S. M&...
This paper investigates the suitability of contemporary DSL tools in the context of enterprise software development. The main focus is on integration issues between the DSL tool, ...
We analyze the information credibility of news propagated through Twitter, a popular microblogging service. Previous research has shown that most of the messages posted on Twitter...
Automatic recognition of human affective states is still a largely unexplored and challenging topic. Even more issues arise when dealing with variable quality of the inputs or aim...