1 citations · 3 across the 4 of their papers we have counts for
4 papers
A Framework for Auditable Synthetic Data Generation
Florimond Houssiau, Samuel N. Cohen, Lukasz Szpruch +5
Synthetic data has gained significant momentum thanks to sophisticated machine learning tools that enable the synthesis of high-dimensional datasets. However, many generation techn…
Segmentation analysis and the recovery of queuing parameters via the Wasserstein distance: a study of administrative data for patients with chronic obstructive pulmonary disease
Henry Wilde, Vincent Knight, Jonathan Gillard +1
This work uses a data-driven approach to analyse how the resource requirements of patients with chronic obstructive pulmonary disease (COPD) may change, quantifying how those chang…
A novel initialisation based on hospital-resident assignment for the k-modes algorithm
Henry Wilde, Vincent Knight, Jonathan Gillard
This paper presents a new way of selecting an initial solution for the k-modes algorithm that allows for a notion of mathematical fairness and a leverage of the data that the commo…
Evolutionary Dataset Optimisation: learning algorithm quality through evolution
Henry Wilde, Vincent Knight, Jonathan Gillard
In this paper we propose a novel method for learning how algorithms perform. Classically, algorithms are compared on a finite number of existing (or newly simulated) benchmark data…