BIOENGINEER

Intelligent Undersampling Algorithm Enhances Machine Learning Accuracy on Imbalanced Data

Computer scientists have developed an intelligent undersampling framework that combines density-aware boundary selection with ...
BIOENGINEER

Interpretable Random Forest Model Predicts Severe Influenza Risk in Hospitalized Children

A retrospective cohort study developed an interpretable random forest model using eight early clinical biomarkers to ...
GitHub

Spam & Phishing Detection Using a Hybrid Soft Computing Approach

Spam (unwanted bulk messages) and phishing (deception to steal credentials/money) overlap but are different problems: a spam message is not automatically phishing, and a suspicious-looking URL is not ...
GitHub

Behavioural Credit Scorecard System

Contribute to AnastasiaRassi/Behavioural_Credit_Scorecard_System development by creating an account on GitHub.
eLife

Dual reinforcement-learning network modules for modeling decision-making with multiple strategies

Laboratory of Neural Computation, Institute for Quantitative Biosciences, the University of Tokyo, Tokyo, Japan Department of Life Sciences, Graduate School of Arts and Sciences, the University of ...