Michelle P. Lin

According to our database, Michelle P. Lin authored at least 6 papers between 2022 and 2025.

Collaborative distances:

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

2025

Bias Analysis in Unconditional Image Generative Models.

Xiaofeng Zhang, Michelle P. Lin, Simon Lacoste-Julien, Aaron C. Courville, Yash Goyal

CoRR, June, 2025

Do it faster with PICOS: Generative AI-Assisted systematic review screening.

Sai Krishna Vallamchetla, Omar Abdelkader, Ali Elnaggar, Doaa Ramadan, Md Manjurul Islam Shourav, Irbaz B. Riaz, Michelle P. Lin

J. Biomed. Informatics, 2025

2024

Alberta Wells Dataset: Pinpointing Oil and Gas Wells from Satellite Imagery.

Pratinav Seth, Michelle P. Lin, Brefo Yaw Dwamena, Jade Boutot, Mary Kang, David Rolnick

CoRR, 2024

2023

How Viable are Energy Savings in Smart Homes? A Call to Embrace Rebound Effects in Sustainable HCI.

Christina Bremer, Harshit Gujral, Michelle P. Lin, Lily Hinkers, Christoph Becker, Vlad C. Coroama

ACM J. Comput. Sustain. Soc., 2023

Harms from Increasingly Agentic Algorithmic Systems.

Alan Chan, Rebecca Salganik, Alva Markelius, Chris Pang, Nitarshan Rajkumar, Dmitrii Krasheninnikov, Lauro Langosco, Zhonghao He, Yawen Duan, Micah Carroll, Michelle P. Lin, Alex Mayhew, Katherine M. Collins, Maryam Molamohammadi, John Burden, Wanru Zhao, Shalaleh Rismani, Konstantinos Voudouris, Umang Bhatt, Adrian Weller, David Krueger, Tegan Maharaj

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

2022

Data-Centric Green AI An Exploratory Empirical Study.

Roberto Verdecchia, Luís Cruz, June Sallou, Michelle P. Lin, James Wickenden, Estelle Hotellier

Proceedings of the International Conference on ICT for Sustainability, 2022