Background: A key challenge in metabonomics is to uncover quantitative associations between multidimensional spectroscopic data and biochemical measures used for disease risk asse...
It is difficult to apply machine learning to new domains because often we lack labeled problem instances. In this paper, we provide a solution to this problem that leverages domai...
This paper presents an autonomous algorithm for discovering exception rules from data sets. An exception rule, which is defined as a deviational pattern to a well-known fact, exhi...
Documents formatted in eXtensible Markup Language (XML) are available in collections of various document types. In this paper, we present an approach for the summarisation of XML d...
Massih-Reza Amini, Anastasios Tombros, Nicolas Usu...
This paper describes a discussion-bot that provides answers to students’ discussion board questions in an unobtrusive and humanlike way. Using information retrieval and natural ...
Donghui Feng, Erin Shaw, Jihie Kim, Eduard H. Hovy