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2. Cross-Cultural and Cultural-Specific Production and Perception of Facial Expressions of Emotion in the Wild

3. EmotioNet Challenge: Recognition of facial expressions of emotion in the wild

5. Human-interpretable image features derived from densely mapped cancer pathology slides predict diverse molecular phenotypes

12. Machine learning-based identification of predictive features of the tumor micro-environment and vasculature in NSCLC patients using the IMpower150 study.

17. Morphology and Synaptic Characteristics Based Prediction of Visual Cortex Spike Properties for Different Functions

20. A Neural Basis of Facial Action Recognition in Humans.

22. Computational Models of the Production and Perception of Facial Expressions

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