Paulo Ricardo da Silva Soares

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—Link prediction is a task in Social Network Analysis that consists of predicting connections that are most likely to appear considering previous observed links in a social network. The majority of works in this area only performs the task by exploring the state of the network at a specific moment to make the prediction of new links, without considering the(More)
This paper investigates the iterative racing approach, I/F-Race, for selecting parameters of SVMs. As a racing algorithm, I/F-Race eliminates candidate models as soon as there is sufficient statistical evidence of their inferiority relative to other models with respect to the objective. The results revealed that the I/F-Race algorithm was able to achieve(More)
In most cases authors are permitted to post their version of the article (e.g. in Word or Tex form) to their personal website or institutional repository. Authors requiring further information regarding Elsevier's archiving and manuscript policies are encouraged to visit: Keywords: Link prediction Temporal events Neighborhood-based measures Co-authorship(More)
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