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Co-authors
Felix Soldner
GESIS - Leibniz Institute for the social science
Verified email at gesis.org
Shane D Johnson
Professor Security and Crime Science, University College London
Verified email at ucl.ac.uk
Jyoti Belur
Professor, UCL
Verified email at ucl.ac.uk
Ben Bradford
Professor of Global City Policing, University College London
Verified email at ucl.ac.uk
Andy Myhill
College of Policing
Verified email at college.police.uk
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Daniel Hammocks
Dawes Centre for Future Crime, UCL Department of Security and Crime Science
Verified email at ucl.ac.uk -
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Using Machine Learning Methods to Study Technology-Facilitated Abuse: Evidence from the Analysis of UK Crimestoppers’ Text Data
F Soldner, LM Tanczer, D Hammocks, I Lopez-Neira, SD Johnson
The Palgrave Handbook of Gendered Violence and Technology, 481-503
, 2021
1
2021
Domestic Abuse: Testing the RFGV algorithm
J Belur, K Posch, K Davies, D Hammock, B Bradford, A Myhill
Department of Security and Crime Science, University College London (UCL)
, 2021
2021
A Comparative Study in Digit Recognition Using Multilayer Perceptrons and Convolutional Neural Networks
D Hammocks, T Laibacher
2018
Identifying Hubs and Trends in Origin-Destination Data
D Devine, A Gaventa, D Hammocks, T Laibacher, M Yousuf
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