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sets. It does not need any metadata and solely relies on the provided RDF dataset. Our evaluation shows that . can be used to identify the topics of hundreds of thousands of RDF datasets. Also, our experiment results suggest that humans agree with the topics that . assigns to RDF datasets. Our code

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Carlos B. Duarte,Enrico Tongiorgiation for stable training. The results show that the proposed model could perform not only facial emotion translation but also artistic face style translation including portrait, anime and emaki. Our model training also shows diminished computational cost compared to the existing models when dealing with difficult appearance translations.

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Hai Hong Nguyens working in the field of health economics wanting to simplify and standardise their workflow, for example in the preparation of dossiers in support of marketing authorisation, or academic and scientific publications..978-3-319-55716-8978-3-319-55718-2Series ISSN 2197-5736 Series E-ISSN 2197-5744

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