2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.LG2023
Precision at the indistinguishability threshold: a method for evaluating classification algorithms
David J. T. Sumpter
There exist a wide range of single number metrics for assessing performance of classification algorithms, including AUC and the F1-score (Wikipedia lists 17 such metrics, with 27 d…
q-bio.NC2023
Using neuronal models to capture burst and glide motion and leadership in fish
Linnéa Gyllingberg, Alex Szorkovszky, David J. T. Sumpter
While mathematical models, in particular self-propelled particle (SPP) models, capture many of the observed properties of large fish schools, they do not always capture the interac…
cs.CY2022★ 2 cited
The games we play: critical complexity improves machine learning
Abeba Birhane, David J. T. Sumpter
When mathematical modelling is applied to capture a complex system, multiple models are often created that characterize different aspects of that system. Often, a model at one leve…