Reverse Engineering March Madness Selection Committee Bracketology

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

MC-NCLWO: Newton’s Cooling Law-Based Oversampling Algorithm for Multi-Class Imbalanced Datasets With Feature Noise

Abstract: Imbalanced data classification remains a fundamental challenge in machine learning, especially in multi-class scenarios where feature noise, class overlap, and small disjunct sub-concepts ...
GitHub

lab_utils_multiclass_TF.py

dlc = dict(dlblue = '#0096ff', dlorange = '#FF9300', dldarkred='#C00000', dlmagenta='#FF40FF', dlpurple='#7030A0', dldarkblue = '#0D5BDC') dlblue = '#0096ff ...
IEEE

Applying One-Class Algorithms for Data Stream-Based Insider Threat Detection

Abstract: An insider threat is anyone who has legitimate access to a particular organization’s network and uses that access to harm that organization. Insider threats may act with or without intent, ...