14 citations · 41 across the 18 of their papers we have counts for
Showing cs.LGShow all
3 papers · 1 filter
cs.LG2023
Uncertainty Quantification in Multivariable Regression for Material Property Prediction with Bayesian Neural Networks
Longze Li, Jiang Chang, Aleksandar Vakanski +3
With the increased use of data-driven approaches and machine learning-based methods in material science, the importance of reliable uncertainty quantification (UQ) of the predicted…
cs.LG2019
A Deep Learning Framework for Assessing Physical Rehabilitation Exercises
Y. Liao, A. Vakanski, M. Xian
Computer-aided assessment of physical rehabilitation entails evaluation of patient performance in completing prescribed rehabilitation exercises, based on processing movement data…
cs.LG2018
Optimal Scheduling of Electrolyzer in Power Market with Dynamic Prices
Yusheng Luo, Min Xian, Manish Mohanpurkar +4
Optimal scheduling of hydrogen production in dynamic pricing power market can maximize the profit of hydrogen producer; however, it highly depends on the accurate forecast of hydro…