Dataflow Programming for Machine Learning in R

💪 🤔 Modern Super Learning with Machine Learning Pipelines

Time Series Ensemble Forecasting

subsemble R package for ensemble learning on subsets of data

🌳 Stacked Gradient Boosting Machines

Targeted Learning for Survival Analysis

Nonparametric estimators of the average treatment effect with doubly-robust confidence intervals and hypothesis tests

Algorithmic framework for measuring feature importance, outlier detection, model applicability evaluation, and ensemble predictive modeling with (sparse) partial least squares regressions.

Training ensemble machine learning classifiers, with flexible templates for repeated cross-validation and parameter tuning

Ensemble feature ranking for SuperLearner variable selection

Super learner fitting and prediction using mlr3

Machine Learning and Deep Learning Course

H2O Tuning and Ensembling Tutorial for R

Unsupervised ensemble learning methods for time series forecasting. Bootstrap aggregating (bagging) for double-seasonal time series forecasting and its ensembles.

Incremental median-based ensemble learning method for seasonal time series

autoEnsemble : An AutoML Algorithm for Building Homogeneous and Heterogeneous Stacked Ensemble Models by Searching for Diverse Base-Learners

A new multi-class ensemble classification algorithm based on Kalman filters

Predicting Infection of Organization Endpoints by Cybersecurity Threats using Ensemble Machine Learning

Density-based clustering unsupervised ensemble learning methods for forecasting double seasonal time series

Ensemble learning for integrative prediction of genetic values with genomic variants.