192 citations · 505 across the 15 of their papers we have counts for
4 papers · 1 filter
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…
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…
Finding analytical approximations for discrete, stochastic, individual-based models of ecology
Linnéa Gyllingberg, David J. T. Sumpter, Åke Brännström
Discrete time, spatially extended models play an important role in ecology, modelling population dynamics of species ranging from micro-organisms to birds. An important question is…
The Lost Art of Mathematical Modelling
Linnéa Gyllingberg, Abeba Birhane, David J. T. Sumpter
We provide a critique of mathematical biology in light of rapid developments in modern machine learning. We argue that out of the three modelling activities -- (1) formulating mode…