Proceedings of the National Academy of Sciences (PNAS)

Identifying variation in dinosaur footprints and classifying problematic specimens via unbiased unsupervised machine learning

Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...
IEEE

SHAP-Based Feature Selection for Enhanced Unsupervised Labeling

Abstract: Manual dataset labeling is expensive, time-consuming, and susceptible to noise and inaccuracies, often necessitating significant financial investments with risks of inconsistencies from ...
IEEE

Collaborative Subspace Learning for Unsupervised Feature Selection

Abstract: Unsupervised feature selection is an emerging area of research within the field of unsupervised learning. Most existing methods for unsupervised feature selection typically focus on the ...