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Recognition of Affect in the Wild Using Deep Neural Networks., , , , and . CVPR Workshops, page 1972-1979. IEEE Computer Society, (2017)BTDNet: a Multi-Modal Approach for Brain Tumor Radiogenomic Classification., , , and . CoRR, (2023)Distribution Matching for Heterogeneous Multi-Task Learning: a Large-scale Face Study., , and . CoRR, (2021)AI-MIA: COVID-19 Detection and Severity Analysis Through Medical Imaging., , and . ECCV Workshops (7), volume 13807 of Lecture Notes in Computer Science, page 677-690. Springer, (2022)MixAugment & Mixup: Augmentation Methods for Facial Expression Recognition., and . CVPR Workshops, page 2366-2374. IEEE, (2022)Aff-Wild2: Extending the Aff-Wild Database for Affect Recognition., and . CoRR, (2018)On line emotion detection using retrainable deep neural networks., , and . SSCI, page 1-8. IEEE, (2016)Distribution Matching for Multi-Task Learning of Classification Tasks: A Large-Scale Study on Faces & Beyond., , and . AAAI, page 2813-2821. AAAI Press, (2024)7th ABAW Competition: Multi-Task Learning and Compound Expression Recognition., , , , , , and . CoRR, (2024)Robust Facial Reactions Generation: An Emotion-Aware Framework with Modality Compensation., , , , , , and . CoRR, (2024)