Francisco Rowe

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 10

Top Topics

Temporal Analysis

Top Venues

J. Geogr. Syst.

Publications

Andrea Nasuto, Francisco Rowe
Exposing Hate - Understanding Anti-Immigration Sentiment Spreading on Twitter. CoRR (2024)
Sui Tao, Francisco Rowe, Hongyu Shan
Unveiling the influence of behavioural, built environment and socio-economic features on the spatial and temporal variability of bus use using explainable machine learning. CoRR (2024)
Francisco Rowe, Michael Mahony, Sui Tao
Assessing Machine Learning Algorithms for Near-Real Time Bus Ridership Prediction During Extreme Weather. CoRR (2022)
Eduardo Graells-Garrido, Daniela Opitz, Francisco Rowe
A Generalisable Data Fusion Framework to Infer Mode of Transport Using Mobile Phone Data. CoRR (2022)
Eduardo Graells-Garrido, Feliu Serra-Burriel, Francisco Rowe, Fernando M. Cucchietti, Patricio Reyes
A city of cities: Measuring how 15-minutes urban accessibility shapes human mobility in Barcelona. CoRR (2021)
Dani Arribas-Bel, Mark Green, Francisco Rowe, Alex Singleton
Open data products-A framework for creating valuable analysis ready data. J. Geogr. Syst. 23 (4) (2021)
Niall Newsham, Francisco Rowe
Projecting the demographic impact of Syrian migration in a rapidly ageing society, Germany. J. Geogr. Syst. 23 (2) (2021)
Mark Green, Elena Musi, Francisco Rowe, Darren Charles, Frances Darlington Pollock, Chris Kypridemos, Andrew Morse, Patricia Rossini, John Tulloch, Andrew Davies, Emily Dearden, Henrdramoorthy Maheswaran, Alex Singleton, Roberto Vivancos, Sally Sheard
Identifying how COVID-19-related misinformation reacts to the announcement of the UK national lockdown: An interrupted time-series study. Big Data Soc. 8 (1) (2021)
Nikos Patias, Francisco Rowe, Stefano Cavazzi
A Scalable Analytical Framework for Spatio-Temporal Analysis of Neighborhood Change: A Sequence Analysis Approach. AGILE Conference (2019)
Philip Stubbings, Joe Peskett, Francisco Rowe, Dani Arribas-Bel
A Hierarchical Urban Forest Index Using Street-Level Imagery and Deep Learning. Remote. Sens. 11 (12) (2019)