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Content-based artwork recommendation: integrating painting metadata with neural and manually-engineered visual features.

, , , , and . User Model. User-Adapt. Interact., 29 (2): 251-290 (2019)

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CuratorNet: Visually-aware Recommendation of Art Images., , , , and . ComplexRec-ImpactRS@RecSys, volume 2697 of CEUR Workshop Proceedings, CEUR-WS.org, (2020)PUC Chile team at VQA-Med 2021: approaching VQA as a classification task via fine-tuning a pretrained CNN., , , and . CLEF (Working Notes), volume 2936 of CEUR Workshop Proceedings, page 1346-1351. CEUR-WS.org, (2021)Comparing Neural and Attractiveness-based Visual Features for Artwork Recommendation., , , , , and . DLRS@RecSys, page 55-59. ACM, (2017)Content-based artwork recommendation: integrating painting metadata with neural and manually-engineered visual features., , , , and . User Model. User-Adapt. Interact., 29 (2): 251-290 (2019)A Survey on Deep Learning and Explainability for Automatic Image-based Medical Report Generation., , , , , , , , , and . CoRR, (2020)Inspecting state of the art performance and NLP metrics in image-based medical report generation., , , , and . CoRR, (2020)The effect of explanations and algorithmic accuracy on visual recommender systems of artistic images, , , and . Proceedings of the 24th International Conference on Intelligent User Interfaces, page 408-416. ACM, (March 2019)Algorithmic and HCI Aspects for Explaining Recommendations of Artistic Images., , , and . ACM Trans. Interact. Intell. Syst., 10 (4): 30:1-30:31 (2020)Do Better ImageNet Models Transfer Better... for Image Recommendation ?, , , and . CoRR, (2018)The effect of explanations and algorithmic accuracy on visual recommender systems of artistic images., , , and . IUI, page 408-416. ACM, (2019)