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Bibliometrics applied to the study of machine learning models for the prediction of artistic styles in paintings has revealed significant practical implications for the scientific community and art professionals. In quadrant 2 of the Cartesian plane of the current bibliometrics on the use of machine learning models to predict artistic styles in paintings, emerging concepts…