DoctorBlair Robertson

Multi-Objective Active Learning

Ranked set sampling with auxiliary variables

Evaluating Imputation Strategies for Complex Longitudinal Cohort Studies

Balanced and Spatially Balanced Survey Designs

An investigation into point distributions for particle swam optimization

Optimal decision trees for ensemble learning

Boosted trees in reflected feature spaces

Automatic trading with random forests

Pest and disease scouting in major New Zealand crops: Evaluating remote sensing and machine learning tools

Oblique Decision Tree Ensembles

Reflected Feature Spaces for Classification Trees

Reflected Random Forest

Real-time traffic monitoring using multiple data sources in urban networks

Deep learning techniques for image classification

Sampling Big Data

Adaptive spatially balanced sampling method

Oblique decision trees in transformed spaces

Long term ecological sampling: Adaptive surveys and methodology