Connected or informed?: Local Twitter networking in a London neighbourhood. - John Bingham-Hall; Stephen Law (Big Data Soc., 2015)

Achieving Appropriate Test Coverage for Reliable Measurement-Based Timing Analysis. - Stephen Law; Iain Bate (ECRTS, 2016)

An application of convolutional neural network in street image classification: the case study of london. - Stephen Law; Yao Shen; Chanuki Seresinhe (GeoAI@SIGSPATIAL, 2017)

Off the shortest path: Betweenness on street network level to study pedestrian movement. - Stephen Law; Martin W. Traunmueller (ITSC, 2017)

Urban Analytics: Multiplexed and Dynamic Community Networks. - Weisi Guo; Guillem Mosquera Donate; Stephen Law; Samuel Johnson; Maria Liakata; Alan Wilson 001 (CoRR, 2017)

TACO: An industrial case study of Test Automation for COverage. - Benjamin Lesage; Stephen Law; Iain Bate (RTNS, 2018)

Industrial Application of a Partitioning Scheduler to Support Mixed Criticality Systems. - Stephen Law; Iain Bate; Benjamin Lesage (ECRTS, 2019)

An unsupervised approach to geographical knowledge discovery using street level and street network images. - Stephen Law; Mateo Neira (GeoAI@SIGSPATIAL, 2019)

Learning from Discovering: An unsupervised approach to Geographical Knowledge Discovery using street level and street network images. - Stephen Law; Mateo Neira (CoRR, 2019)

Adversarial Perturbations on the Perceptual Ball. - Andrew Elliott; Stephen Law; Chris Russell 001 (CoRR, 2019)

Take a Look Around: Using Street View and Satellite Images to Estimate House Prices. - Stephen Law; Brooks Paige; Chris Russell 001 (ACM Trans. Intell. Syst. Technol., 2019)

Justifying the Service Provided to Low Criticality Tasks in a Mixed Criticality System. - Stephen Law; Iain Bate; Benjamin Lesage (RTNS, 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)

Advancing mixed criticality scheduling techniques to support industrial applications - Stephen Law (2020)

Explaining Classifiers Using Adversarial Perturbations on the Perceptual Ball. - Andrew Elliott; Stephen Law; Chris Russell 001 (CVPR, 2021)

Jane Jacobs in the Sky: Predicting Urban Vitality with Open Satellite Data. - Sanja Scepanovic; Sagar Joglekar 001; Stephen Law; Daniele Quercia (Proc. ACM Hum. Comput. Interact., 2021)

Estimating Chicago's tree cover and canopy height using multi-spectral satellite imagery. - John Francis; Stephen Law (CoRR, 2022)

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)

Exploring 3D spatial morphology using multilayered space syntax, network science and wi-fi log data. - Junwei Zhang 007; Ahmad M. Senousi; Pengxiang Zhao; Stephen Law; Xintao Liu (Urban Inform., 2023)

Explaining holistic image regressors and classifiers in urban analytics with plausible counterfactuals. - Stephen Law; Rikuo Hasegawa; Brooks Paige; Chris Russell 001; Andrew Elliott (Int. J. Geogr. Inf. Sci., 2023)

Exploring selective image matching methods for zero-shot and few-sample unsupervised domain adaptation of urban canopy prediction. - John Francis; Stephen Law (CoRR, 2024)

SMA-Hyper: Spatiotemporal Multi-View Fusion Hypergraph Learning for Traffic Accident Prediction. - Xiaowei Gao; James Haworth; Ilya Ilyankou; Xianghui Zhang; Tao Cheng 004; Stephen Law; Huanfa Chen (CoRR, 2024)

Examining the Commitments and Difficulties Inherent in Multimodal Foundation Models for Street View Imagery. - Zhenyuan Yang; Xuhui Lin; Qinyi He; Ziye Huang; Zhengliang Liu; Hanqi Jiang; Peng Shu; Zihao Wu 001; Yiwei Li 002; Stephen Law; Gengchen Mai; Tianming Liu 001; et al. (CoRR, 2024)

Multimodal Contrastive Learning of Urban Space Representations from POI Data. - Xinglei Wang; Tao Cheng 004; Stephen Law; Zichao Zeng; Lu Yin 006; Junyuan Liu (CoRR, 2024)

Self-supervised learning unveils urban change from street-level images. - Steven Stalder; Michele Volpi; Nicolas Büttner; Stephen Law; Kenneth Harttgen; Esra Suel (Comput. Environ. Urban Syst., 2024)

The spatial structure of housing affordability and the impact of public infrastructure. - Omar A. Guerrero; Stephen Law (J. Simulation, 2024)

Predicting butterfly species presence from satellite imagery using soft contrastive regularisation. - Thijs L. van der Plas; Stephen Law; Michael JO Pocock (CVPR Workshops, 2025)

From points to patterns: An explorative POI network study on urban functional distribution. - Xuhui Lin; Tao Yang; Stephen Law (Comput. Environ. Urban Syst., 2025)

Multi-modal contrastive learning of urban space representations from POI data. - Xinglei Wang; Tao Cheng 004; Stephen Law; Zichao Zeng; Lu Yin 006; Junyuan Liu (Comput. Environ. Urban Syst., 2025)

MedGNN: Capturing the Links Between Urban Characteristics and Medical Prescriptions. - Minwei Zhao; Sanja Scepanovic; Stephen Law; Daniele Quercia; Ivica Obadic (CoRR, 2025)

Into the Unknown: Applying Inductive Spatial-Semantic Location Embeddings for Predicting Individuals' Mobility Beyond Visited Places. - Xinglei Wang; Tao Cheng 004; Stephen Law; Zichao Zeng; Ilya Ilyankou; Junyuan Liu; Lu Yin 006; Weiming Huang; Natchapon Jongwiriyanurak (CoRR, 2025)

Vitamin N: Benefits of Different Forms of Public Greenery for Urban Health. - Sanja Scepanovic; Sagar Joglekar 001; Stephen Law; Daniele Quercia; Ke Zhou 003; Alice Battiston; Rossano Schifanella (CoRR, 2025)