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Accurate real time crime prediction is a fundamental issue for public safety, but remains a challenging problem for the scientific community.
Long short-term memory
S. Hochreiter and J. Schmidhuber · 1997
Earlier work this paper cites.
A statistical model of criminal behavior
M. B. Short, M. R. D’Orsogna, V. B. Pasour, G. E. Tita, P. J. Brantingham, A. L. Bertozzi, and L. Chayes · 2008
Earlier work this paper cites.
Self-exciting point process modeling of crime
G. Mohler, M. Short, P. Brantingham, F. Schoenberg, and G. Tita · 2011
Earlier work this paper cites.
Automatic crime prediction using events extracted from twitter posts
X. Wang, M. S. Gerber, and D. E. Brown · 2012
Cited alongside, same era.
Gang rivalry dynamics via coupled point process network
M. Short, G. Mohler, P. J. Brantingham, and G. Tita · 2014
Cited alongside, same era.
Deep learning
Y. LeCun, Y. Bengion, and G. Hinton · 2015
Cited alongside, same era.
The Concentration Dynamics Tradeoff in Crime Hot Spotting, Connecting Crime to Place: New Directions in Theory and Policy
M. Short, G. Mohler and P. J. Brantingham
Cited in the paper.
Theano: A python framework for fas computation of mathematical expressions
Theano Development Team · 2015
Later among the works it cites.
Structural-rnn: Deep learning on spatio-temporal graphs
A. Jain, A. R. Zamir, S. Savarese, and A. Saxena · 2016
Later among the works it cites.
Deep spatio-temporal residual networks for citywide crowd flows prediction
J. Zhang, Y. Zheng, and D. Qi · 2017
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