Stephen Law

According to our database, Stephen Law authored at least 20 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Explaining holistic image regressors and classifiers in urban analytics with plausible counterfactuals.

Stephen Law, Rikuo Hasegawa, Brooks Paige, Chris Russell, Andrew Elliott

Int. J. Geogr. Inf. Sci., December, 2023

Exploring 3D spatial morphology using multilayered space syntax, network science and wi-fi log data.

Junwei Zhang, Ahmad M. Senousi, Pengxiang Zhao, Stephen Law, Xintao Liu

Urban Inform., 2023

Self-supervised learning unveils change in urban housing from street-level images.

Steven Stalder, Michele Volpi, Nicolas Büttner, Stephen Law, Kenneth Harttgen, Esra Suel

CoRR, 2023

2022

Estimating Chicago's tree cover and canopy height using multi-spectral satellite imagery.

John Francis, Stephen Law

CoRR, 2022

2021

Jane Jacobs in the Sky: Predicting Urban Vitality with Open Satellite Data.

Sanja Scepanovic, Sagar Joglekar, Stephen Law, Daniele Quercia

Proc. ACM Hum. Comput. Interact., 2021

Explaining Classifiers Using Adversarial Perturbations on the Perceptual Ball.

Andrew Elliott, Stephen Law, Chris Russell

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Advancing mixed criticality scheduling techniques to support industrial applications

Stephen Law

PhD thesis, 2020

Street-Frontage-Net: urban image classification using deep convolutional neural networks.

Stephen Law, Chanuki Seresinhe, Yao Shen, Mario Gutiérrez-Roig

Int. J. Geogr. Inf. Sci., 2020

Justifying the Service Provided to Low Criticality Tasks in a Mixed Criticality System.

Stephen Law, Iain Bate, Benjamin Lesage

Proceedings of the 28th International Conference on Real Time Networks and Systems, 2020

2019

Take a Look Around: Using Street View and Satellite Images to Estimate House Prices.

Stephen Law, Brooks Paige, Chris Russell

ACM Trans. Intell. Syst. Technol., 2019

Adversarial Perturbations on the Perceptual Ball.

Andrew Elliott, Stephen Law, Chris Russell

CoRR, 2019

Learning from Discovering: An unsupervised approach to Geographical Knowledge Discovery using street level and street network images.

Stephen Law, Mateo Neira

CoRR, 2019

An unsupervised approach to geographical knowledge discovery using street level and street network images.

Stephen Law, Mateo Neira

Proceedings of the 3rd ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, 2019

Industrial Application of a Partitioning Scheduler to Support Mixed Criticality Systems.

Stephen Law, Iain Bate, Benjamin Lesage

Proceedings of the 31st Euromicro Conference on Real-Time Systems, 2019

2018

TACO: An industrial case study of Test Automation for COverage.

Benjamin Lesage, Stephen Law, Iain Bate

Proceedings of the 26th International Conference on Real-Time Networks and Systems, 2018

2017

Urban Analytics: Multiplexed and Dynamic Community Networks.

Weisi Guo, Guillem Mosquera Donate, Stephen Law, Samuel Johnson, Maria Liakata, Alan Wilson

CoRR, 2017

Off the shortest path: Betweenness on street network level to study pedestrian movement.

Stephen Law, Martin W. Traunmueller

Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017

An application of convolutional neural network in street image classification: the case study of london.

Stephen Law, Yao Shen, Chanuki Seresinhe

Proceedings of the 1st Workshop on Artificial Intelligence and Deep Learning for Geographic Knowledge Discovery, 2017

2016

Achieving Appropriate Test Coverage for Reliable Measurement-Based Timing Analysis.

Stephen Law, Iain Bate

Proceedings of the 28th Euromicro Conference on Real-Time Systems, 2016

2015

Connected or informed?: Local Twitter networking in a London neighbourhood.

John Bingham-Hall, Stephen Law

Big Data Soc., December, 2015