CRISP--Comprehensive Regression for Impedance Spectroscopy Prediction over ELF Regions using AI
Efficient Feature Engineering Over Unstructured Data for Use with Traditional AI Models
Making Fantasy Leagues More Real by Adding Team Chemistry
Geometric-k-means--A Novel, Exact, Unbounded Distance Calculation Reducing k-means
Are Sports Awards About Sports? Using AI to Find the Answer
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