3 papers
stat.ML2024
Challenges in Variable Importance Ranking Under Correlation
Annie Liang, Thomas Jemielita, Andy Liaw +4
Variable importance plays a pivotal role in interpretable machine learning as it helps measure the impact of factors on the output of the prediction model. Model agnostic methods b…
eess.IV2023
Multi-dimension unified Swin Transformer for 3D Lesion Segmentation in Multiple Anatomical Locations
Shaoyan Pan, Yiqiao Liu, Sarah Halek +6
In oncology research, accurate 3D segmentation of lesions from CT scans is essential for the modeling of lesion growth kinetics. However, following the RECIST criteria, radiologist…
cs.LG2022
Target alignment in truncated kernel ridge regression
Arash A. Amini, Richard Baumgartner, Dai Feng
Kernel ridge regression (KRR) has recently attracted renewed interest due to its potential for explaining the transient effects, such as double descent, that emerge during neural n…