Predicting per capita violent crimes in urban areas: an artificial intelligence approach
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Computer Science
Link
http://link.springer.com/content/pdf/10.1007/s12652-015-0334-3.pdf
Reference25 articles.
1. Castelli M, Vanneschi L, Silva S (2013) Prediction of high performance concrete strength using genetic programming with geometric semantic genetic operators. Expert Syst Appl 40(17):6856–6862
2. Castelli M, Silva S, Vanneschi L (2015a) A c++ framework for geometric semantic genetic programming. Genet Program Evol Mach 16(1):73–81
3. Castelli M, Vanneschi L, Felice MD (2015b) Forecasting short-term electricity consumption using a semantics-based genetic programming framework: The south italy case. Energy Econ 47:37–41
4. Castelli M, Vanneschi L, Popovič A (2015c) Parameter evaluation of geometric semantic genetic programming in pharmacokinetics. Int J Bio-Inspir Comput 1–9 (to appear)
5. Cho H, Seo YW, Vijaya Kumar B, Rajkumar R (2014) A multi-sensor fusion system for moving object detection and tracking in urban driving environments. In: Robotics and Automation (ICRA), 2014 IEEE International Conference on, pp 1836–1843
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