Jamie Bossenbroek

According to our database, Jamie Bossenbroek authored at least 2 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Invasive or More Direct Measurements Can Provide an Objective Early-Stopping Ceiling for Training Deep Neural Networks on Non-invasive or Less-Direct Biomedical Data.

Christopher W. Bartlett, Jamie Bossenbroek, Yukie Ueyama, Patricia E. Mccallinhart, Olivia A. Peters, Donna A. Santillan, Mark K. Santillan, Aaron J. Trask, William C. Ray

SN Comput. Sci., March, 2023

2021

Invasive Measurements Can Provide an Objective Ceiling for Non-invasive Machine Learning Predictions.

Christopher W. Bartlett, Jamie Bossenbroek, Yukie Ueyama, Patricia E. Mccallinhart, Aaron J. Trask, William C. Ray

Proceedings of the 18th International Conference on Signal Processing and Multimedia Applications, 2021