James Haworth

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 23

Top Topics

Negative Binomial

Geospatial Data

Top Venues

ISPRS Int. J. Geo Inf.

Publications

Rafael Felipe Sprent, James Haworth, Stefano Cavazzi, Ilya Ilyankou
Multi-Criteria Framework for Routing on Access Land: A Case Study on Dartmoor National Park. ISPRS Int. J. Geo Inf. 13 (4) (2024)
Ilya Ilyankou, Aldo Lipani, Stefano Cavazzi, Xiaowei Gao, James Haworth
Do Sentence Transformers Learn Quasi-Geospatial Concepts from General Text? GeoExT@ECIR (2024)
Xiaowei Gao, James Haworth, Ilya Ilyankou, Xianghui Zhang, Tao Cheng, Stephen Law, Huanfa Chen
SMA-Hyper: Spatiotemporal Multi-View Fusion Hypergraph Learning for Traffic Accident Prediction. CoRR (2024)
Meihui Wang, James Haworth, Ilya Ilyankou, Nicola Christie
CycleTrajectory: An End-to-End Pipeline for Enriching and Analyzing GPS Trajectories to Understand Cycling Behavior and Environment. CoRR (2024)
Ilya Ilyankou, Meihui Wang, James Haworth, Stefano Cavazzi
CC-GPX: Extracting High-Quality Annotated Geospatial Data from Common Crawl. CoRR (2024)
Ilya Ilyankou, Meihui Wang, James Haworth, Stefano Cavazzi
Quantifying Geospatial in the Common Crawl Corpus. CoRR (2024)
Ilya Ilyankou, Aldo Lipani, Stefano Cavazzi, Xiaowei Gao, James Haworth
Do Sentence Transformers Learn Quasi-Geospatial Concepts from General Text? CoRR (2024)
Jingwei Guo, Meihui Wang, Ilya Ilyankou, Natchapon Jongwiriyanurak, Xiaowei Gao, Nicola Christie, James Haworth
Multiple Object Detection and Tracking in Panoramic Videos for Cycling Safety Analysis. CoRR (2024)
Xiaowei Gao, Huanfa Chen, James Haworth
A spatiotemporal analysis of the impact of lockdown and coronavirus on London's bicycle hire scheme: from response to recovery to a new normal. Geo spatial Inf. Sci. 26 (4) (2023)
Xiaowei Gao, James Haworth, Dingyi Zhuang, Huanfa Chen, Xinke Jiang
Uncertainty Quantification in the Road-Level Traffic Risk Prediction by Spatial-Temporal Zero-Inflated Negative Binomial Graph Neural Network(STZINB-GNN) (Short Paper). GIScience (2023)
Xiaowei Gao, Xinke Jiang, Dingyi Zhuang, Huanfa Chen, Shenhao Wang, James Haworth
Spatiotemporal Graph Neural Networks with Uncertainty Quantification for Traffic Incident Risk Prediction. CoRR (2023)
Natchapon Jongwiriyanurak, Zichao Zeng, Meihui Wang, James Haworth, Garavig Tanaksaranond, Jan Boehm
Framework for Motorcycle Risk Assessment Using Onboard Panoramic Camera (Short Paper). GIScience (2023)
Xinyi Liu, James Haworth, Meihui Wang
A New Approach to Assessing Perceived Walkability: Combining Street View Imagery with Multimodal Contrastive Learning Model. GeoIndstry@SIGSPATIAL (2023)
Xiaowei Gao, James Haworth, Dingyi Zhuang, Huanfa Chen, Xinke Jiang
Uncertainty Quantification in the Road-level Traffic Risk Prediction by Spatial-Temporal Zero-Inflated Negative Binomial Graph Neural Network(STZINB-GNN). CoRR (2023)
Mohamed R. Ibrahim, James Haworth, Nicola Christie
Re-designing cities with conditional adversarial networks. CoRR (2021)
Mohamed R. Ibrahim, James Haworth, Nicola Christie, Tao Cheng
CyclingNet: Detecting cycling near misses from video streams in complex urban scenes with deep learning. CoRR (2021)
Juntao Lai, Guy Lansley, James Haworth, Tao Cheng
A name-led approach to profile urban places based on geotagged Twitter data. Trans. GIS 24 (4) (2020)
Mohamed R. Ibrahim, Helena Titheridge, Tao Cheng, James Haworth
predictSLUMS: A new model for identifying and predicting informal settlements and slums in cities from street intersections using machine learning. Comput. Environ. Urban Syst. 76 (2019)
Mohamed R. Ibrahim, James Haworth, Tao Cheng
WeatherNet: Recognising Weather and Visual Conditions from Street-Level Images Using Deep Residual Learning. ISPRS Int. J. Geo Inf. 8 (12) (2019)
Mohamed R. Ibrahim, James Haworth, Tao Cheng
WeatherNet: Recognising weather and visual conditions from street-level images using deep residual learning. CoRR (2019)
Thanos Bantis, James Haworth
Non-Employment Activity Type Imputation from Points of Interest and Mobility Data at an Individual Level: How Accurate Can We Get? ISPRS Int. J. Geo Inf. 8 (12) (2019)
Mohamed R. Ibrahim, Helena Titheridge, Tao Cheng, James Haworth
predictSLUMS: A new model for identifying and predicting informal settlements and slums in cities from street intersections using machine learning. CoRR (2018)
Mohamed R. Ibrahim, James Haworth, Tao Cheng
URBAN-i: From urban scenes to mapping slums, transport modes, and pedestrians in cities using deep learning and computer vision. CoRR (2018)
Songnian Li, Suzana Dragicevic, François Anton, Monika Sester, Stephan Winter, Arzu Çöltekin, Christopher James Pettit, Bin Jiang, James Haworth, Alfred Stein, Tao Cheng
Geospatial Big Data Handling Theory and Methods: A Review and Research Challenges. CoRR (2015)
Tao Cheng, James Haworth, Jiaqiu Wang
Spatio-temporal autocorrelation of road network data. J. Geogr. Syst. 14 (4) (2012)
Adel Bolbol, Tao Cheng, Ioannis Tsapakis, James Haworth
Inferring hybrid transportation modes from sparse GPS data using a moving window SVM classification. Comput. Environ. Urban Syst. 36 (6) (2012)
James Haworth, Tao Cheng
Non-parametric regression for space-time forecasting under missing data. Comput. Environ. Urban Syst. 36 (6) (2012)
Tao Cheng, James Haworth, Ed Manley
Advances in geocomputation (1996-2011). Comput. Environ. Urban Syst. 36 (6) (2012)