MLlib: Machine Learning in Apache Spark. - Xiangrui Meng; Joseph K. Bradley; Burak Yavuz; Evan Randall Sparks; Shivaram Venkataraman; Davies Liu; Jeremy Freeman; D. B. Tsai; Manish Amde; Sean Owen; Doris Xin; Reynold Xin; et al. (J. Mach. Learn. Res., 2016)

Binder 2.0 - Reproducible, interactive, sharable environments for science at scale. - Project Jupyter; Matthias Bussonnier; Jessica Forde; Jeremy Freeman; Brian E. Granger; Tim Head; Chris Holdgraf; Kyle Kelley; Gladys Nalvarte; Andrew Osheroff; Michael Pacer; Yuvi Panda; et al. (SciPy, 2018)

Community-based benchmarking improves spike rate inference from two-photon calcium imaging data. - Philipp Berens; Jeremy Freeman; Thomas Deneux; Nicolay Chenkov; Thomas McColgan; Artur Speiser; Jakob H. Macke; Srinivas C. Turaga; Patrick J. Mineault; Peter Rupprecht; Stephan Gerhard; Rainer W. Friedrich; et al. (PLoS Comput. Biol., 2018)

starfish: scalable pipelines for image-based transcriptomics. - Shannon Axelrod; Matthew Cai; Ambrose J. Carr; Jeremy Freeman; Deep Ganguli; Justin T. Kiggins; Brian Long; Tony Tung; Kevin A. Yamauchi (J. Open Source Softw., 2021)

Inferring Carbon Dioxide Emissions From Power Plants Using Satellite Imagery and Machine Learning. - Madison Hobbs; Ali Rouzbeh Kargar; Heather D. Couture; Jeremy Freeman; Isabella Söldner-Rembold; André Ferreira; Jeyavinoth Jeyaratnam; Joseph O'Connor; Jordan Lewis; Hannes Koenig; Colin McCormick; Tiffany Nakano; et al. (IGARSS, 2023)

Estimating Carbon Dioxide Emissions from Power Plant Water Vapor Plumes Using Satellite Imagery and Machine Learning. - Heather D. Couture; Madison Alvara; Jeremy Freeman; Aaron Davitt; Hannes Koenig; Ali Rouzbeh Kargar; Joseph O'Connor; Isabella Söldner-Rembold; André Ferreira; Jeyavinoth Jeyaratnam; Jordan Lewis; Colin McCormick; et al. (Remote. Sens., 2024)