Self-exciting Point Processes with Image Features as Covariates for Robbery Modeling

Author:

Dulce Rubio Mateo,Rodríguez Díaz Paula,Moreno Pabón Juan S.,Riascos Álvaro J.,Camargo Jorge E.

Publisher

Springer International Publishing

Reference19 articles.

1. Acosta, S.A., Camargo, J.E.: Predicting city cafety perception based on visual image content. In: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, pp. 177–185 (2019)

2. Barreras, F., Díaz, C., Riascos, A.J., Ribero, M.: Comparación de diferentes modelos para la predicción del crimen en bogotá. Economía y seguridad en el posconflicto, p. 209 (2018)

3. Dulce, M., Ramírez-Amaya, S., Riascos, A.: Efficient allocation of law enforcement resources using predictive police patrolling. arXiv preprint arXiv:1811.12880 (2018)

4. Eck, J., Chainey, S., Cameron, J., Wilson, R.: Mapping crime: Understanding hotspots (2005)

5. Ensign, D., Friedler, S.A., Neville, S., Scheidegger, C., Venkatasubramanian, S.: Runaway feedback loops in predictive policing. arXiv preprint arXiv:1706.09847 (2017)

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