activity
20102023
most citedBayesian anomaly detection methods for social networks

121 citations · 121 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CL2023

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…

cs.CL2021

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…

cs.CL2020

Supervised Phrase-boundary Embeddings

Manni Singh, David Weston, Mark Levene

We propose a new word embedding model, called SPhrase, that incorporates supervised phrase information. Our method modifies traditional word embeddings by ensuring that all target…

cs.CY2018

Modelling Metropolitan-area Ambulance Mobility under Blue Light Conditions

Marcus Poulton, Anastasios Noulas, David Weston +1

Actions taken immediately following a life-threatening personal health incident are critical for the survival of the sufferer. The timely arrival of specialist ambulance crew in pa…

stat.AP2010★ 121 cited

Bayesian anomaly detection methods for social networks

Nicholas A. Heard, David J. Weston, Kiriaki Platanioti +1

Learning the network structure of a large graph is computationally demanding, and dynamically monitoring the network over time for any changes in structure threatens to be more cha…