Michelle Carney

According to our database, Michelle Carney authored at least 8 papers between 2017 and 2023.

Collaborative distances:

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

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, Ping Yu, Adarsh Kowdle, Ram Iyengar, Alex Olwal

Proceedings of the Adjunct Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology, 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

Proceedings of the Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

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, Anuva Kulkarni, Xingyu Liu, Ahmed Sabie, Sergio Orts-Escolano, Abhishek Kar, Ping Yu, Ram Iyengar, Adarsh Kowdle, Alex Olwal

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

2021

Tone Transfer: In-Browser Interactive Neural Audio Synthesis.

Michelle Carney, Chong Li, Edwin Toh, Nida Zada, Ping Yu, Jesse H. Engel

Proceedings of the Joint Proceedings of the ACM IUI 2021 Workshops co-located with 26th ACM Conference on Intelligent User Interfaces (ACM IUI 2021), 2021

Breakdowns and Breakthroughs: Observing Musicians' Responses to the COVID-19 Pandemic.

Carrie J. Cai, Michelle Carney, Nida Zada, Michael Terry

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

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

Proceedings of the Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, 2020

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

Proceedings of the Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, 2020

2017

Estimating the Date of First Publication in a Large-Scale Digital Library.

David Bamman, Michelle Carney, Jon Gillick, Cody Hennesy, Vijitha Sridhar

Proceedings of the 2017 ACM/IEEE Joint Conference on Digital Libraries, 2017