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Interpretability by design using computer vision for behavioral sensing in child and adolescent psychiatry
However, coding human behavior is a time-consuming, expensive task, in which reliability can be difficult to achieve and bias is a risk.
Computational behavior recognition in child and adolescent psychiatry: A statistical and machine learning analysis plan
Features from the videos will be extracted and used to compute ratings of behavior, which will be compared to ratings of behavior produced by mental health professionals trained to use a specific behavioral coding manual.
Unsupervised Spectral Unmixing For Telluric Correction Using A Neural Network Autoencoder
The absorption of light by molecules in the atmosphere of Earth is a complication for ground-based observations of astrophysical objects.
Sampling To Improve Predictions For Underrepresented Observations In Imbalanced Data
We propose sampling to adjust for this imbalance with the goal of improving the performance of models trained on historical production data.
