78 citations · 173 across the 8 of their papers we have counts for
8 papers
Where's Ben Nevis? A 2D optimisation benchmark with 957,174 local optima based on Great Britain terrain data
Yuhang Wei, Michael Clerx, Gary R. Mirams
We present a novel optimisation benchmark based on the real landscape of Great Britain (GB). The elevation data from the UK Ordnance Survey Terrain 50 dataset is slightly modified…
Ten simple rules for training scientists to make better software
Kit Gallagher, Richard Creswell, Ben Lambert +4
Computational methods and associated software implementations are central to every field of scientific investigation. Modern biological research, particularly within systems biolog…
Understanding the impact of numerical solvers on inference for differential equation models
Richard Creswell, Katherine M. Shepherd, Ben Lambert +5
Most ordinary differential equation (ODE) models used to describe biological or physical systems must be solved approximately using numerical methods. Perniciously, even those solv…
Empirical quantification of predictive uncertainty due to model discrepancy by training with an ensemble of experimental designs: an application to ion channel kinetics
Joseph G. Shuttleworth, Chon Lok Lei, Dominic G. Whittaker +4
When mathematical biology models are used to make quantitative predictions for clinical or industrial use, it is important that these predictions come with a reliable estimate of t…
Considering discrepancy when calibrating a mechanistic electrophysiology model
Chon Lok Lei, Sanmitra Ghosh, Dominic G. Whittaker +14
Uncertainty quantification (UQ) is a vital step in using mathematical models and simulations to take decisions. The field of cardiac simulation has begun to explore and adopt UQ me…
Probabilistic Inference on Noisy Time Series (PINTS)
Michael Clerx, Martin Robinson, Ben Lambert +4
Time series models are ubiquitous in science, arising in any situation where researchers seek to understand how a system's behaviour changes over time. A key problem in time series…
Gaussian process emulation for discontinuous response surfaces with applications for cardiac electrophysiology models
Sanmitra Ghosh, David J. Gavaghan, Gary R. Mirams
Mathematical models of biological systems are beginning to be used for safety-critical applications, where large numbers of repeated model evaluations are required to perform uncer…
Mathematical Modelling of Heart Rate Changes in the Mouse
Mark Christie, Manasi Nandi, Yanika Borg +7
The CVS is composed of numerous interacting and dynamically regulated physiological subsystems which each generate measurable periodic components such that the CVS can itself be pr…