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Anastasia Spiliopoulou et al.
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David M. Blei et al.
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Adriano F. Siqueira et al.
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Biagio Ciuffo et al.
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Qiao Ge et al.
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Yannis Pantazis et al.
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D. Ngoduy et al.
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Michal Komorowski et al.
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Zhu Jiang et al.
INFORMATION SCIENCES (2009)
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