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Multimodality and Deep Learning when Predicting Media Interestingness., , and . MediaEval, volume 1984 of CEUR Workshop Proceedings, CEUR-WS.org, (2017)A Robust Interactive Facial Animation Editing System., , , and . MIG, page 25:1-25:10. ACM, (2019)Collecting, Analyzing and Predicting Socially-Driven Image Interestingness., , and . EUSIPCO, page 1-5. IEEE, (2019)Data-driven longitudinal characterization of neonatal health and morbidity, , , , , , , , , and 23 other author(s). Science Translational Medicine, 15 (683): eadc9854 (2023)Intuitive Facial Animation Editing Based On A Generative RNN Framework., , and . Comput. Graph. Forum, 39 (8): 241-251 (2020)Leveraging Neural Networks for 3D Facial Animation Editing. (L'Utilisation des Méthodes d'Apprentissage Profond au service de l'Édition d'Animation Faciale 3D).. CentraleSupélec, Châtenay-Malabry, France, (2021)Real-Time Cleaning and Refinement of Facial Animation Signals., , and . ICGSP, page 70-75. ACM, (2020)Deep representation learning identifies associations between physical activity and sleep patterns during pregnancy and prematurity., , , , , , , , , and 11 other author(s). npj Digit. Medicine, (2023)Multiomic signals associated with maternal epidemiological factors contributing to preterm birth in low- and middle-income countries, , , , , , , , , and 47 other author(s). Science Advances, 9 (21): eade7692 (2023)Whole genome deconvolution unveils Alzheimer’s resilient epigenetic signature, , , , , , , , , and 9 other author(s). Nature Communications, 14 (1): 4947 (2023)