134 citations · 343 across the 10 of their papers we have counts for
6 papers · 1 filter
Measuring Depression Symptom Severity from Spoken Language and 3D Facial Expressions
Albert Haque, Michelle Guo, Adam S Miner +1
With more than 300 million people depressed worldwide, depression is a global problem. Due to access barriers such as social stigma, cost, and treatment availability, 60% of mental…
Faster CryptoNets: Leveraging Sparsity for Real-World Encrypted Inference
Edward Chou, Josh Beal, Daniel Levy +3
Homomorphic encryption enables arbitrary computation over data while it remains encrypted. This privacy-preserving feature is attractive for machine learning, but requires signific…
A Fully Private Pipeline for Deep Learning on Electronic Health Records
Edward Chou, Thao Nguyen, Josh Beal +2
We introduce an end-to-end private deep learning framework, applied to the task of predicting 30-day readmission from electronic health records. By using differential privacy durin…
Privacy-Preserving Action Recognition for Smart Hospitals using Low-Resolution Depth Images
Edward Chou, Matthew Tan, Cherry Zou +4
Computer-vision hospital systems can greatly assist healthcare workers and improve medical facility treatment, but often face patient resistance due to the perceived intrusiveness…
Automatic Documentation of ICD Codes with Far-Field Speech Recognition
Albert Haque, Corinna Fukushima
Documentation errors increase healthcare costs and cause unnecessary patient deaths. As the standard language for diagnoses and billing, ICD codes serve as the foundation for medic…
Conditional End-to-End Audio Transforms
Albert Haque, Michelle Guo, Prateek Verma
We present an end-to-end method for transforming audio from one style to another. For the case of speech, by conditioning on speaker identities, we can train a single model to tran…