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Authorship identification is the task of identifying the author of a given text from a set of suspects. The main concern of this task is to define an appropriate characterization of texts that captures the writing style of authors. Although deep learning was recently used in different natural language processing tasks, it has not been used in author identification (to the best of our knowledge). In...
Motif detection has raised as an important task in bioinformatics. Recently, the discovery of motifs that are localized relative to a certain biological area has become an important task in many applications. For example, it is used to discover regulatory sequences beside the transcription start site and the neighborhood of known transcription factor binding sites [1]. Therefore, the idea of context...
Manually creating an object category dataset requires a lot of hard work and wastes a large amount of time. Having an automatic means for collecting images that represent different objects is crucial for the scalable and practical expansion of these datasets. In this work, a methodology to automatically re-rank the images returned from a web search engine is proposed to improve the precision of the...
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