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 (SIGMAP, 2021)

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., 2023)