| Content-based artwork recommendation: integrating painting metadata with neural and manually-engineered visual features P Messina, V Dominguez, D Parra, C Trattner, A Soto User Modeling and User-Adapted Interaction 29 (2), 251-290, 2019 | 76 | 2019 |
| The effect of explanations and algorithmic accuracy on visual recommender systems of artistic images V Dominguez, P Messina, I Donoso-Guzmán, D Parra Proceedings of the 24th International Conference on Intelligent User …, 2019 | 60 | 2019 |
| A survey on deep learning and explainability for automatic report generation from medical images P Messina, P Pino, D Parra, A Soto, C Besa, S Uribe, M Andía, C Tejos, ... ACM Computing Surveys (CSUR) 54 (10s), 1-40, 2022 | 50 | 2022 |
| Comparing neural and attractiveness-based visual features for artwork recommendation V Dominguez, P Messina, D Parra, D Mery, C Trattner, A Soto Proceedings of the 2nd workshop on deep learning for recommender systems, 55-59, 2017 | 25 | 2017 |
| Algorithmic and HCI aspects for explaining recommendations of artistic images V Dominguez, I Donoso-Guzman, P Messina, D Parra ACM Transactions on Interactive Intelligent Systems (TiiS) 10 (4), 1-31, 2020 | 15 | 2020 |
| Exploring content-based artwork recommendation with metadata and visual features P Messina, V Dominguez, D Parra, C Trattner, A Soto arXiv preprint arXiv:1706.05786, 2017 | 13 | 2017 |
| Curatornet: Visually-aware recommendation of art images P Messina, M Cartagena, P Cerda-Mardini, F del Rio, D Parra arXiv preprint arXiv:2009.04426, 2020 | 11 | 2020 |
| Inspecting state of the art performance and NLP metrics in image-based medical report generation P Pino, D Parra, P Messina, C Besa, S Uribe arXiv preprint arXiv:2011.09257, 2020 | 10 | 2020 |
| Do Better ImageNet Models Transfer Better... for Image Recommendation? F del Rio, P Messina, V Dominguez, D Parra arXiv preprint arXiv:1807.09870, 2018 | 10 | 2018 |
| PUC Chile team at VQA-Med 2021: approaching VQA as a classification task via fine-tuning a pretrained CNN. R Schilling, P Messina, D Parra, H Löbel CLEF (Working Notes), 1346-1351, 2021 | 6 | 2021 |
| A survey on deep learning and explainability for automatic image-based medical report generation P Messina, P Pino, D Parra, A Soto, C Besa, S Uribe, C Tejos, C Prieto, ... arXiv preprint arXiv:2010.10563, 2020 | 5 | 2020 |
| Towards Explanations for Visual Recommender Systems of Artistic Images. V Dominguez, P Messina, C Trattner, D Parra IntRS@ RecSys, 69-73, 2018 | 5 | 2018 |
| Two-stage Conditional Chest X-ray Radiology Report Generation P Messina, J Cañete, D Parra, Á Soto, C Besa, J Dunstan MedNeurIPS 2022, 2022 | 1* | 2022 |
| PUC Chile team at TBT Task: Diagnosis of Tuberculosis Type using segmented CT scans. JM Quintana, D Florea, R Deane, D Parra, P Pino, P Messina, H Löbel CLEF (Working Notes), 1336-1345, 2021 | 1 | 2021 |
| Algorithmic and HCI Aspects for Explaining Recommendations of Artistic Images V Domínguez Manquenahuel, I Donoso Guzmán, P Messina, ... | | 2020 |
| DRAFT, published P MESSINA, P PINO, D PARRA, A SOTO, C BESA, S URIBE, M ANDÍA, ... | | 2020 |
| Algorithms for visual art recommendation: leveraging visual features, metadata and implicit feedback P Messina | | 2019 |
