Reverse Engineering March Madness Selection Committee Bracketology

Machine learning analysis reveals which metrics drive March Madness seeding and predictive analytics in committee decisions.
IEEE

DOA Estimation by Feature Extraction Based on Parallel Deep Neural Networks and MRMR Feature Selection Algorithm

Abstract: An active research topic in the array signal processing field is the direction of arrival (DOA) estimation, where establishing an efficient estimation of radio waves received from an antenna ...
IEEE

Feature Selection Algorithms for High-dimensional Unbalanced Medical Data

Abstract: High-dimensional feature selection is a difficult issue in medical field, while the class imbalance problem existing in medical data can also seriously affect the classification performance ...
FanSided

NET Rankings, explained: How the NCAA Tournament selection metric works in 2026

The NET rankings system is a way for the Selection committee to evaluate college basketball teams ahead of the NCAA Tournament. Before of the 2018-19 season, the NCAA created NET to replace the ...