tik-nn--Telescope Indexing for k-Nearest Neighbor Search Algorithms over High Dimensional Data & Large Data Sets
AReS--An AutoML Regression Service for Data Analytics and Novel Data-centric Visualizations
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
ccImpute--an accurate and scalable consensus clustering based algorithm to impute dropout events in the single-cell RNA-seq data
Regeneration of Lithium-ion Battery Impedance using a Novel Machine Learning Framework and Minimal Empirical Data
Data Expressiveness and Its Use in Data-centric AI
CH3NH3PbI3 Perovskite Nanoparticles
Rare-class Learning over Mg-Doped ZnO Nanoparticles
Predicting Atom Types in Different Temperatures