An important number of studies have addressed the importance of models in software engineering, mainly in the design of robust software systems. Although models have been proven t...
This paper identifies a novel feature space to address the problem of human face recognition from still images. This is based on the PCA space of the features extracted by a new m...
Robustness analysis research has shown that conventional memory-based recommender systems are very susceptible to malicious profile-injection attacks. A number of attack models h...
This research is part of a project to develop practical, effective, formalizable, automatable techniques for integration testing. Integration testing is an important part of the t...
In this paper we study the problem of constructing accurate decision tree models from data streams. Data streams are incremental tasks that require incremental, online, and any-ti...