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Sam Comber
Sam Comber
Senior Machine Learning Engineer, Kraken Tech. PhD University of Liverpool.
Verifisert e-postadresse på liverpool.ac.uk
Tittel
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År
Machine learning innovations in address matching: A practical comparison of word2vec and CRFs
S Comber, D Arribas‐Bel
Transactions in GIS 23 (2), 334-348, 2019
602019
A geographic data science framework for the functional and contextual analysis of human dynamics within global cities
A Calafiore, G Palmer, S Comber, D Arribas-Bel, A Singleton
Computers, Environment and Urban Systems 85, 101539, 2021
512021
“Waiting on the train”: The anticipatory (causal) effects of Crossrail in Ealing
S Comber, D Arribas-Bel
Journal of Transport Geography 64, 13-22, 2017
212017
Using convolutional autoencoders to extract visual features of leisure and retail environments
S Comber, D Arribas-Bel, A Singleton, L Dolega
Landscape and Urban Planning 202, 103887, 2020
162020
Building hierarchies of retail centers using Bayesian multilevel models
S Comber, D Arribas-Bel, A Singleton, G Dong, L Dolega
Annals of the American Association of Geographers 110 (4), 1150-1173, 2020
122020
Dynamic-IMD (D-IMD): Introducing activity spaces to deprivation measurement in London, Birmingham and Liverpool
S Comber, S Park, D Arribas-Bel
Cities 127, 103733, 2022
82022
Demonstrating the utility of machine learning innovations in address matching to spatial socio-economic applications
S Comber
Region 7 (3), 17-37, 2020
62020
An image library: The potential of imagery in (quantitative) social sciences
D Arribas-Bel, F Rowe, M Chen, S Comber
Handbook of spatial analysis in the social sciences, 528-543, 2022
42022
Retail Research in the Age of Big Data: Guiding the Search for Answers
S Comber
PQDT-Global, 2021
2021
A Geographic Data Science Framework for the Functional and Contextual Analysis of Human Dynamics within Global Cities
A Singleton, D Arribas-Bel, S Comber, A Calafiore, G Palmer
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Artikler 1–10