Cathy Hou

According to our database, Cathy Hou authored at least 7 papers between 2020 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

An Exploration of Active Learning for Affective Digital Phenotyping.

Peter Washington, Cezmi Mutlu, Aaron Kline, Cathy Hou, Kaitlyn Dunlap, Jack Kent, Arman Husic, Nate Tyler Stockham, Brianna Sierra Chrisman, Kelley M. Paskov, Jae-Yoon Jung, Dennis P. Wall

CoRR, 2022

Classifying Autism from Crowdsourced Semi-Structured Speech Recordings: A Machine Learning Approach.

Nathan A. Chi, Peter Washington, Aaron Kline, Arman Husic, Cathy Hou, Chloe He, Kaitlyn Dunlap, Dennis P. Wall

CoRR, 2022

2021

Using Crowdsourcing to Train Facial Emotion Machine Learning Models with Ambiguous Labels.

Peter Washington, Onur Cezmi Mutlu, Émilie Leblanc, Aaron Kline, Cathy Hou, Brianna Sierra Chrisman, Nate Tyler Stockham, Kelley M. Paskov, Catalin Voss, Nick Haber, Dennis P. Wall

CoRR, 2021

Training Affective Computer Vision Models by Crowdsourcing Soft-Target Labels.

Peter Washington, Haik Kalantarian, Jack Kent, Arman Husic, Aaron Kline, Émilie Leblanc, Cathy Hou, Cezmi Mutlu, Kaitlyn Dunlap, Yordan Penev, Nate Tyler Stockham, Brianna Sierra Chrisman, Kelley Marie Paskov, Jae-Yoon Jung, Catalin Voss, Nick Haber, Dennis P. Wall

Cogn. Comput., 2021

A Mobile Game Platform for Improving Social Communication in Children with Autism: A Feasibility Study.

Yordan Penev, Kaitlyn Dunlap, Arman Husic, Cathy Hou, Peter Washington, Émilie Leblanc, Aaron Kline, John Kent, Anthony Ng-Thow-Hing, Bennett Liu, Christopher Harjadi, Meagan Tsou, Manisha Desai, Dennis P. Wall

Appl. Clin. Inform., 2021

Activity Recognition with Moving Cameras and Few Training Examples: Applications for Detection of Autism-Related Headbanging.

Peter Washington, Aaron Kline, Onur Cezmi Mutlu, Émilie Leblanc, Cathy Hou, Nate Tyler Stockham, Kelley M. Paskov, Brianna Sierra Chrisman, Dennis P. Wall

Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

2020

Training an Emotion Detection Classifier using Frames from a Mobile Therapeutic Game for Children with Developmental Disorders.

Peter Washington, Haik Kalantarian, Jack Kent, Arman Husic, Aaron Kline, Émilie Leblanc, Cathy Hou, Cezmi Mutlu, Kaitlyn Dunlap, Yordan Penev, Maya Varma, Nate Tyler Stockham, Brianna Sierra Chrisman, Kelley M. Paskov, Min Woo Sun, Jae-Yoon Jung, Catalin Voss, Nick Haber, Dennis P. Wall

CoRR, 2020