55 citations · 113 across the 18 of their papers we have counts for
4 papers · 1 filter
An Exploration of Active Learning for Affective Digital Phenotyping
Peter Washington, Cezmi Mutlu, Aaron Kline +9
Some of the most severe bottlenecks preventing widespread development of machine learning models for human behavior include a dearth of labeled training data and difficulty of acqu…
MLPro: A System for Hosting Crowdsourced Machine Learning Challenges for Open-Ended Research Problems
Peter Washington, Aayush Nandkeolyar, Sam Yang
The task of developing a machine learning (ML) model for a particular problem is inherently open-ended, and there is an unbounded set of possible solutions. Steps of the ML develop…
Challenges and Opportunities for Machine Learning Classification of Behavior and Mental State from Images
Peter Washington, Cezmi Onur Mutlu, Aaron Kline +7
Computer Vision (CV) classifiers which distinguish and detect nonverbal social human behavior and mental state can aid digital diagnostics and therapeutics for psychiatry and the b…
Classifying Autism from Crowdsourced Semi-Structured Speech Recordings: A Machine Learning Approach
Nathan A. Chi, Peter Washington, Aaron Kline +5
Autism spectrum disorder (ASD) is a neurodevelopmental disorder which results in altered behavior, social development, and communication patterns. In past years, autism prevalence…