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Training Affective Computer Vision Models by Crowdsourcing Soft-Target Labels., , , , , , , , , and 7 other author(s). Cogn. Comput., 13 (5): 1363-1373 (2021)Training an Emotion Detection Classifier using Frames from a Mobile Therapeutic Game for Children with Developmental Disorders., , , , , , , , , and 9 other author(s). CoRR, (2020)An Exploration of Active Learning for Affective Digital Phenotyping., , , , , , , , , and 2 other author(s). CoRR, (2022)Training and Profiling a Pediatric Emotion Recognition Classifier on Mobile Devices., , , , and . CoRR, (2021)Activity Recognition with Moving Cameras and Few Training Examples: Applications for Detection of Autism-Related Headbanging., , , , , , , , and . CHI Extended Abstracts, page 239:1-239:7. ACM, (2021)TikTokActions: A TikTok-Derived Video Dataset for Human Action Recognition., , , , , , , , and . CoRR, (2024)Using Crowdsourcing to Train Facial Emotion Machine Learning Models with Ambiguous Labels., , , , , , , , , and 1 other author(s). CoRR, (2021)TempT: Temporal consistency for Test-time adaptation., , , and . CVPR Workshops, page 5917-5923. IEEE, (2023)Computer Vision Estimation of Emotion Reaction Intensity in the Wild., , , , , , and . CoRR, (2023)Challenges and Opportunities for Machine Learning Classification of Behavior and Mental State from Images., , , , , , , , , and . CoRR, (2022)