Are They What They Claim--A Comprehensive Study of Ordinary Linear Regression Among the Top Machine Learning Libraries in Python
An Efficient and Novel Approach for Predicting Kohn-Sham Total Energy--Bootstrapping a Cooperative Model Framework with Minimal Viable Theoretical Data
Regeneration of Lithium-ion Battery Impedance using a Novel Machine Learning Framework and Minimal Empirical Data
CH3NH3PbI3 Perovskite Nanoparticles
Rare-class Learning over Mg-Doped ZnO Nanoparticles
Predicting Atom Types in Different Temperatures
A Novel Approach to Optimization of Iterative Machine Learning Algorithms
Reduced random forest for big data using priority voting & dynamic data reduction