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Found 4 papers, 0 papers with code
Pilot Study to Discover Candidate Biomarkers for Autism based on Perception and Production of Facial Expressions
Results: We identify one candidate ET biomarker (percentage gaze duration to the face while mimicking static 'disgust' expression) and 14 additional DVs of interest for future study, including 4 ET DVs, 5 DVs related to VT AU activation, and 4 DVs related to AU asymmetry in VT. Based on a power analysis, we provide sample size recommendations for future studies.
Customizable Avatars with Dynamic Facial Action Coded Expressions (CADyFACE) for Improved User Engagement
To measure subjects' AUs in response to CADyFACE, we propose a novel Beta-guided Correlation and Multi-task Expression learning neural network (BeCoME-Net) for multi-label AU detection.
Deep Adaptation of Adult-Child Facial Expressions by Fusing Landmark Features
We propose domain adaptation to concurrently align distributions of adult and child expressions in a shared latent space for robust classification of either domain.
Effect of Text Processing Steps on Twitter Sentiment Classification using Word Embedding
However, text processing steps are often performed using off-the-shelf routines and pre-built word dictionaries without optimizing for domain, application, and context.
