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It is widely accepted that addictive drug use is related to abnormal functional organization in the user's brain. The present study aimed to identify this type of abnormality within the brain networks implicated in addiction by resting-state functional connectivity measured with functional magnetic resonance imaging (fMRI). With fMRI data acquired during(More)
One of the key factors that affects automated tutoring systems in making instructional decisions is the quality of the student model built in the system. A student model is a model that can solve problems in various ways as human students. A good student model that matches with student behavior patterns often provides useful information on learning task(More)
a r t i c l e i n f o Keywords: Text mining Sentiment analysis Cluster analysis Online sports forums Dynamic interacting network analysis Hotspot detection Machine learning Support vector machine Text sentiment analysis, also referred to as emotional polarity computation, has become a flourishing frontier in the text mining community. This paper studies(More)
With recent increased expectations for quality, and the growth of agile processes and test driven development, developers are expected to do more and more effective unit testing. Yet, our knowledge of when to use the various unit level test criteria is incomplete. The paper presents results from a comparison of four unit level software testing criteria.(More)
MOTIVATION The next-generation high-throughput sequencing technologies, especially from Illumina, have been widely used in re-sequencing and de novo assembly studies. However, there is no existing software that can simulate Illumina reads with real error and quality distributions and coverage bias yet, which is very useful in relevant software development(More)
Online social networks, which have been expanding at a blistering speed recently, have emerged as a popular communication infrastructure for Internet users. Meanwhile, malware that specifically target these online social networks are also on the rise. In this work, we aim to investigate the characteristics of malware propagation in online social networks.(More)
Bipartite ranking aims to learn a real-valued ranking function that orders positive instances before negative instances. Recent efforts of bipartite ranking are focused on optimizing ranking accuracy at the top of the ranked list. Most existing approaches are either to optimize task specific metrics or to extend the ranking loss by emphasizing more on the(More)