papers

Publications (6)

math.OC2025

Acceleration Techniques for Learning Optimal Classification Trees with Integer Programming

Mitchell Keegan, Michael Forbes, Paul Corry +1

Decision trees are a popular machine learning model which are traditionally trained by heuristic methods. Massive improvements in computing power and optimisation techniques has le…

quant-ph2026

Quantum computing for transport research: an introduction, systematic review, and perspective

Lachlan Oberg, Paul Corry, Moji Ghadimi +1

Transport engineering has significant potential to benefit from quantum computing. The rise of intelligent transport systems, autonomous vehicles, and the Internet of Things has cr…

cs.HC2023

Developing A Personal Decision Support Tool for Hospital Capacity Assessment and Querying

Robert L Burdett, Paul Corry, David Cook +1

This article showcases a personal decision support tool (PDST) called HOPLITE, for performing insightful and actionable quantitative assessments of hospital capacity, to support ho…

stat.ME2025

Metacountregressor: A python package for extensive analysis and assisted estimation of count data models

Zeke Ahern, Paul Corry, Alexander Paz

{Analyzing and modeling rare events in count data presents significant challenges due to the scarcity of observations and the complexity of underlying processes, which are often ov…

cs.AI2023

The Efficacy of Utility Functions for Multicriteria Hospital Case-Mix Planning

Robert L Burdett, Paul Corry, Prasad Yarlagadda +2

A new approach to perform hospital case-mix planning (CMP) is introduced in this article. Our multi-criteria approach utilises utility functions (UF) to articulate the preferences…

cs.AI2023

Multicriteria Optimization Techniques for Understanding the Case Mix Landscape of a Hospital

Robert L Burdett, Paul Corry, Prasad Yarlagadda +2

Various medical and surgical units operate in a typical hospital and to treat their patients these units compete for infrastructure like operating rooms (OR) and ward beds. How tha…