Julienne LaChance

According to our database, Julienne LaChance authored at least 9 papers between 2020 and 2025.

Collaborative distances:

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

2025

A case for data valuation transparency via DValCards.

Keziah Naggita, Julienne LaChance

CoRR, June, 2025

Fair human-centric image dataset for ethical AI benchmarking.

Alice Xiang, Jerone T. A. Andrews, Rebecca Bourke, William Thong, Julienne LaChance, Tiffany Georgievski, Apostolos Modas, Aida Rahmattalabbi, Yunhao Ba, Shruti Nagpal, Orestis Papakyriakopoulos, Dora Zhao, Jinru Xue, Victoria Matthews, Linxia Gong, Austin Hoag, Mircea Cimpoi, Swami Sankaranarayanan, Wiebke Hutiri, Morgan Klaus Scheuerman, Albert S. Abedi, Peter Stone, Peter R. Wurman, Hiroaki Kitano, Michael Spranger

Nat., 2025

2023

Flickr Africa: Examining Geo-Diversity in Large-Scale, Human-Centric Visual Data.

Keziah Naggita, Julienne LaChance, Alice Xiang

Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 2023

2022

Learning the rules of collective cell migration using deep attention networks.

Julienne LaChance, Kevin Suh, Jens Clausen, Daniel J. Cohen

PLoS Comput. Biol., 2022

2021

Machine learning and statistical analysis of the collective behaviors of large tissues

Julienne LaChance

PhD thesis, 2021

Machine Learning for Mechanical Ventilation Control (Extended Abstract).

Daniel Suo, Cyril Zhang, Paula Gradu, Udaya Ghai, Xinyi Chen, Edgar Minasyan, Naman Agarwal, Karan Singh, Julienne LaChance, Tom Zajdel, Manuel Schottdorf, Daniel J. Cohen, Elad Hazan

CoRR, 2021

Machine Learning for Mechanical Ventilation Control.

Daniel Suo, Cyril Zhang, Paula Gradu, Udaya Ghai, Xinyi Chen, Edgar Minasyan, Naman Agarwal, Karan Singh, Julienne LaChance, Tom Zajdel, Manuel Schottdorf, Daniel J. Cohen, Elad Hazan

CoRR, 2021

Exploring Why Underrepresented Students Are Less Likely to Study Machine Learning and Artificial Intelligence.

Daphne Barretto, Julienne LaChance, Emanuelle Burton, Soohyun Nam Liao

Proceedings of the ITiCSE '21: Proceedings of the 26th ACM Conference on Innovation and Technology in Computer Science Education V.1, Virtual Event, Germany, June 26, 2021

2020

Practical fluorescence reconstruction microscopy for large samples and low-magnification imaging.

Julienne LaChance, Daniel J. Cohen

PLoS Comput. Biol., 2020