Roger Rusack

Publication Activity (10 Years)

Years Active: 2021-2023
Publications (10 Years): 5

Top Topics

Electron Microscopy

High Energy Physics

Machine Learning

Ridge Regression

Top Venues

Mach. Learn. Sci. Technol.

Publications

Bhargav Joshi, Taihui Li, Buyun Liang, Roger Rusack, Ju Sun
Predicting the Future of the CMS Detector: Crystal Radiation Damage and Machine Learning at the LHC. CoRR (2023)
Javier M. Duarte, Haoyang Li, Avik Roy, Ruike Zhu, E. A. Huerta, Daniel Diaz, Philip C. Harris, Raghav Kansal, Daniel S. Katz, Ishaan H. Kavoori, Volodymyr V. Kindratenko, Farouk Mokhtar, Mark S. Neubauer, Sang Eon Park, Melissa Quinnan, Roger Rusack, Zhizhen Zhao
FAIR AI models in high energy physics. Mach. Learn. Sci. Technol. 4 (4) (2023)
Roger Rusack, Bhargav Joshi, Alpana Alpana, Seema Sharma, Thomas Vadnais
Electron Energy Regression in the CMS High-Granularity Calorimeter Prototype. CoRR (2023)
Javier M. Duarte, Haoyang Li, Avik Roy, Ruike Zhu, E. A. Huerta, Daniel Diaz, Philip C. Harris, Raghav Kansal, Daniel S. Katz, Ishaan H. Kavoori, Volodymyr V. Kindratenko, Farouk Mokhtar, Mark S. Neubauer, Sang Eon Park, Melissa Quinnan, Roger Rusack, Zhizhen Zhao
FAIR AI Models in High Energy Physics. CoRR (2022)
Yifan Chen, E. A. Huerta, Javier M. Duarte, Philip C. Harris, Daniel S. Katz, Mark S. Neubauer, Daniel Diaz, Farouk Mokhtar, Raghav Kansal, Sang Eon Park, Volodymyr V. Kindratenko, Zhizhen Zhao, Roger Rusack
A FAIR and AI-ready Higgs Boson Decay Dataset. CoRR (2021)