Miguel Araújo

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My research is focused on mining patterns and anomalies in static or temporal graphs with applications to social network analysis and fraud discovery. In my work I apply a variety of standard data mining and machine learning techniques, but particularly matrix and tensor decompositions or other clustering methods on high-dimensional data. work is focused on(More)
The prevalence and intensity of avian haemosporian infections (genera Haemoproteus and Plasmodium) were investigated using molecular techniques and microscopy in nine passerine species at three Portuguese reed beds along a small latitudinal gradient. The effect of age, sex, season, site and year in the infection prevalence was evaluated for some of these(More)
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