As grid computation systems become larger and more complex, manually diagnosing failures in jobs becomes impractical. Recently, machine-learning techniques have been proposed to d...
More than 90% of the cost of software is due to maintenance and evolution. Understanding the evolution of large software systems is a complex problem, which requires the use of va...
Email is a key communication tool for collaborative workgroups. In this paper, we investigate how team leadership roles can be inferred from a collection of email messages exchang...
In this paper we show how model identifiability is an issue for student modeling: observed student performance corresponds to an infinite family of possible model parameter estimat...
One of the major challenges in cancer diagnosis from microarray data is to develop robust classification models which are independent of the analysis techniques used and can combi...