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- W2164760003 abstract "In this work we present a methodology to select syntactic attributes for authorship attribution. The approach takes into account a multi-objective genetic algorithm and a Support Vector Machine classifier and it operates in a wrapper mode. Through a series of comprehensive experiments on a database composed of 3000 short articles written in Portuguese we show that the proposed methodology is able to provide a concise subset of attributes, which increases the recognition rate in about 15 percentage points." @default.
- W2164760003 created "2016-06-24" @default.
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- W2164760003 date "2011-07-01" @default.
- W2164760003 modified "2023-09-26" @default.
- W2164760003 title "Selecting syntactic attributes for authorship attribution" @default.
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- W2164760003 doi "https://doi.org/10.1109/ijcnn.2011.6033217" @default.
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