The probabilistic network technology is a knowledgebased technique which focuses on reasoning under uncertainty. Because of its well defined semantics and solid theoretical founda...
Organizations often need to release microdata without revealing sensitive information. To this scope, data are anonymized and, to assess the quality of the process, various privac...
Research in the fields of software quality and maintainability requires the analysis of large quantities of data, which often originate from open source software projects. Pre-pro...
Software quality prediction can be cast as a concept learning problem. In this paper, we discuss the full cycle of an application of Machine Learning to software quality predictio...
This paper argues that effective management of patient image data can enhance patient care. It examines the workflow and information flows involved in the search for image based d...