research
∙
04/05/2022
An Exploration of Active Learning for Affective Digital Phenotyping
Some of the most severe bottlenecks preventing widespread development of...
share
research
∙
01/26/2022
Challenges and Opportunities for Machine Learning Classification of Behavior and Mental State from Images
Computer Vision (CV) classifiers which distinguish and detect nonverbal ...
research
∙
01/04/2022
Classifying Autism from Crowdsourced Semi-Structured Speech Recordings: A Machine Learning Approach
Autism spectrum disorder (ASD) is a neurodevelopmental disorder which re...
research
∙
08/22/2021
Training and Profiling a Pediatric Emotion Recognition Classifier on Mobile Devices
Implementing automated emotion recognition on mobile devices could provi...
research
∙
01/10/2021
Activity Recognition with Moving Cameras and Few Training Examples: Applications for Detection of Autism-Related Headbanging
Activity recognition computer vision algorithms can be used to detect th...
research
∙
01/10/2021
Using Crowdsourcing to Train Facial Emotion Machine Learning Models with Ambiguous Labels
Current emotion detection classifiers predict discrete emotions. However...
research
∙
12/16/2020
Training an Emotion Detection Classifier using Frames from a Mobile Therapeutic Game for Children with Developmental Disorders
Automated emotion classification could aid those who struggle to recogni...
research
∙
04/19/2020