39 citations · 186 across the 37 of their papers we have counts for
39 papers
Robustness of neural networks to random noise perturbations of their inputs
Mark Levene, Martyn Harris
We investigate the problem of the robustness of a trained neural network to the perturbation of its input values. More specifically, we examine the interplay between the accuracy o…
Incorporating Dictionaries into a Neural Network Architecture to Extract COVID-19 Medical Concepts From Social Media
Abul Hasan, Mark Levene, David Weston
We investigate the potential benefit of incorporating dictionary information into a neural network architecture for natural language processing. In particular, we make use of this…
A skew logistic distribution with application to modelling COVID-19 epidemic waves
Mark Levene
A novel yet simple extension of the symmetric logistic distribution is proposed by introducing a skewness parameter. It is shown how the three parameters of the ensuing skew logist…
Monitoring Covid-19 on social media using a novel triage and diagnosis approach
Abul Hasan, Mark Levene, David Weston +3
Objective: This study aims to develop an end-to-end natural language processing pipeline for triage and diagnosis of COVID-19 from patient-authored social media posts, in order to…
Potential gain as a centrality measure
Pasquale De Meo, Mark Levene, Alessandro Provetti
Navigability is a distinctive features of graphs associated with artificial or natural systems whose primary goal is the transportation of information or goods. We say that a graph…
A stochastic differential equation approach to the analysis of the UK 2017 and 2019 general election polls
Mark Levene, Trevor Fenner
Human dynamics and sociophysics build on statistical models that can shed light on and add to our understanding of social phenomena. We propose a generative model based on a stocha…