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Stephen Law
Stephen Law
university college london / alan turing institute
Dirección de correo verificada de turing.ac.uk
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Año
Take a look around: using street view and satellite images to estimate house prices
S Law, B Paige, C Russell
ACM Transactions on Intelligent Systems and Technology (TIST) 10 (5), 1-19, 2019
2472019
Seasonal Arctic sea ice forecasting with probabilistic deep learning
TR Andersson, JS Hosking, M Pérez-Ortiz, B Paige, A Elliott, C Russell, ...
Nature communications 12 (1), 5124, 2021
1812021
Street-Frontage-Net: urban image classification using deep convolutional neural networks
S Law, CI Seresinhe, Y Shen, M Gutierrez-Roig
International Journal of Geographical Information Science 34 (4), 681-707, 2020
1222020
Towards a multi‐modal space syntax analysis. A case study of the London street and underground network
WPS Law
http://sss8. cl/8021. pdf, 2012
1012012
Defining Street-based Local Area and measuring its effect on house price using a hedonic price approach: The case study of Metropolitan London
S Law
Cities 60, 166-179, 2017
812017
Road centre line simplification principles for angular segment analysis
I Kolovou, J Gil, K Karimi, S Law, L Versluis
Proceedings-11th International Space Syntax Symposium, SSS 2017 11, 163.1-163.16, 2017
502017
Connected or informed?: Local Twitter networking in a London neighbourhood
J Bingham-Hall, S Law
Big Data & Society 2 (2), 2053951715597457, 2015
502015
How is location measured in housing valuation? A systematic review of accessibility specifications in hedonic price models
AV Heyman, S Law, M Berghauser Pont
Urban Science 3 (1), 3, 2018
452018
Indoor school environments, physical activity, sitting behaviour and pedagogy: A scoping review
M Ucci, S Law, R Andrews, A Fisher, L Smith, A Sawyer, A Marmot
Building Research & Information 43 (5), 566-581, 2015
432015
Space syntax angular betweenness centrality revisited
T Varoudis, S Law, K Karimi, B Hillier, A Penn
Proceedings of 9th International Space Syntax Symposium, Seoul, 2013
432013
Measuring the changes in aggregate cycling patterns between 2003 and 2012 from a space syntax perspective
S Law, FL Sakr, M Martinez
Behavioral Sciences 4 (3), 278-300, 2014
402014
An unsupervised approach to geographical knowledge discovery using street level and street network images
S Law, M Neira
Proceedings of the 3rd ACM SIGSPATIAL International Workshop on AI for …, 2019
372019
An application of convolutional neural network in street image classification: The case study of London
S Law, Y Shen, C Seresinhe
Proceedings of the 1st Workshop on Artificial Intelligence and Deep Learning …, 2017
352017
Measuring the influence of spatial configuration on the housing market in metropolitan London
S Law, K Karimi, A Penn, A Chiaradia
Proceedings of the Ninth International Space Syntax Symposium, 121.1-121.20, 2013
352013
Explaining classifiers using adversarial perturbations on the perceptual ball
A Elliott, S Law, C Russell
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
332021
Jane Jacobs in the sky: predicting urban vitality with open satellite data
S Scepanovic, S Joglekar, S Law, D Quercia
Proceedings of the ACM on Human-Computer Interaction 5 (CSCW1), 1-25, 2021
282021
Physical co-presence intensity: Measuring dynamic face-to-face interaction potential in public space using social media check-in records
Y Shen, K Karimi, S Law, C Zhong
PloS one 14 (2), e0212004, 2019
162019
An empirical study on applying community detection methods in defining spatial housing submarkets in London
S Law, K Karimi, A Penn
SSS 2015-10th International Space Syntax Symposium 10, 2015
102015
National scale modelling to test UK population growth and infrastructure scenarios
E Parham, S Law, L Versluis
Proceedings-11th International Space Syntax Symposium, SSS 2017, 103.1-103.17, 2017
72017
Off the shortest path: Betweenness on street network level to study pedestrian movement
S Law, M Traunmueller
2017 IEEE 20th International Conference on Intelligent Transportation …, 2017
62017
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Artículos 1–20