Addressing challenges in time series forecasting: a comprehensive comparison of machine learning techniques

A new anomaly detection via multiple instance learning for sequence data with application to credit card delinquency risk control

On Kullback-Leibler divergence for medical diagnostics accuracy and cut-point selection criterion under tree or umbrella ordering

Optimal prediction threshold and spatial characteristics of burglary crime across cities

CorrDA: correlation-matrix driven discriminant analysis

Deep quantile forests for high-dimensional data

An AUC-based multi-kernel weighted support vector machine ensemble algorithm for breast cancer diagnosis