Estimating the Date of First Publication in a Large-Scale Digital Library. - David Bamman; Michelle Carney; Jon Gillick; Cody Hennesy; Vijitha Sridhar (JCDL, 2017)

Teachable Machine: Approachable Web-Based Tool for Exploring Machine Learning Classification. - Michelle Carney; Barron Webster; Irene Alvarado; Kyle Phillips; Noura Howell; Jordan Griffith; Jonas Jongejan; Amit Pitaru; Alexander Chen (CHI Extended Abstracts, 2020)

Human-Centered Approaches to Fair and Responsible AI. - Min Kyung Lee; Nina Grgic-Hlaca; Michael Carl Tschantz; Reuben Binns; Adrian Weller; Michelle Carney; Kori Inkpen (CHI Extended Abstracts, 2020)

Breakdowns and Breakthroughs: Observing Musicians' Responses to the COVID-19 Pandemic. - Carrie J. Cai; Michelle Carney; Nida Zada; Michael Terry (CHI, 2021)

Tone Transfer: In-Browser Interactive Neural Audio Synthesis. - Michelle Carney; Chong Li; Edwin Toh; Nida Zada; Ping Yu; Jesse H. Engel (IUI Workshops, 2021)

Rapsai: Accelerating Machine Learning Prototyping of Multimedia Applications through Visual Programming. - Ruofei Du; Na Li; Jing Jin; Michelle Carney; Scott Miles; Maria Kleiner; Xiuxiu Yuan; Yinda Zhang 001; Anuva Kulkarni; Xingyu Liu 002; Ahmed Sabie; Sergio Orts-Escolano; et al. (CHI, 2023)

Experiencing Rapid Prototyping of Machine Learning Based Multimedia Applications in Rapsai. - Ruofei Du; Na Li; Jing Jin; Michelle Carney; Xiuxiu Yuan; Ram Iyengar; Ping Yu; Adarsh Kowdle; Alex Olwal (CHI Extended Abstracts, 2023)

Experiencing Visual Blocks for ML: Visual Prototyping of AI Pipelines. - Ruofei Du; Na Li; Jing Jin; Michelle Carney; Xiuxiu Yuan; Kristen Wright; Mark Sherwood; Jason Mayes; Lin Chen; Jun Jiang; Jingtao Zhou; Zhongyi Zhou; et al. (UIST (Adjunct Volume), 2023)