Machine Learning

Combining Machine Learning Models Using combo Library

Model combination, often regarded as a key sub-field of ensemble learning, has been widely used in both academic research and industry applications. To facilitate this process, we propose and implement an easy-to-use Python toolkit, combo, to …


An Acceleration System for Large Scale Unsupervised Anomaly Detection

Music Artist Classification with Convolutional Recurrent Neural Networks

Previous attempts at music artist classification use frame level audio features which summarize frequency content within short intervals of time. Comparatively, more recent music information retrieval tasks take advantage of temporal structure in …


A Python Toolbox for Machine Learning Model Combination.

Employee Turnover Prediction with Machine Learning: A Reliable Approach

Supervised machine learning methods are described, demonstrated and assessed for the prediction of employee turnover within an organization. In this study, numerical experiments for real and simulated human resources datasets representing …

Python Outlier Detection Toolbox

PyOD--A Python Toolbox for Scalable Outlier Detection (Anomaly Detection).