Nathan Phelps

According to our database, Nathan Phelps authored at least 6 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Implications of Different Encodings of Binned Data when Clustering.

Nathan Phelps

J. Classif., April, 2026

2025

Towards understanding the bias in decision trees.

Nathan Phelps, Daniel J. Lizotte, Douglas G. Woolford

CoRR, January, 2025

Using Platt's scaling for calibration after undersampling - limitations and how to address them.

Nathan Phelps, Daniel J. Lizotte, Douglas G. Woolford

Trans. Mach. Learn. Res., 2025

2024

Enhancing an existing algorithm for small-cardinality constrained portfolio optimisation.

Nathan Phelps, Adam Metzler

J. Oper. Res. Soc., May, 2024

Challenges learning from imbalanced data using tree-based models: Prevalence estimates systematically depend on hyperparameters and can be upwardly biased.

Nathan Phelps, Daniel J. Lizotte, Douglas G. Woolford

CoRR, 2024

2023

Reinforcement learning in large, structured action spaces: A simulation study of decision support for spinal cord injury rehabilitation.

Nathan Phelps, Stephanie Marrocco, Stephanie Cornell, Dalton L. Wolfe, Daniel J. Lizotte

CoRR, 2023