George Mohler

First name
George
Last name
Mohler
Baas, A., Hung, F., Sha, H., Hasan, M. A., & Mohler, G. (2018). Predicting Virality on Networks Using Local Graphlet Frequency Distribution. In 2018 IEEE International Conference on Big Data (Big Data) (p. 8). http://doi.org/10.1109/BigData.2018.8622605
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Morehead, A., Ogden, L., Magee, G., Hosler, R., White, B., & Mohler, G. (2019). Low Cost Gunshot Detection using Deep Learning on the Raspberry Pi. In 2019 IEEE International Conference on Big Data (Big Data) (p. 7). http://doi.org/10.1109/BigData47090.2019.9006456
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Stanhope, A., Sha, H., Barman, D., Hasan, M. A., & Mohler, G. (2019). Group Link Prediction. In 2019 IEEE International Conference on Big Data (Big Data) (p. 8). http://doi.org/10.1109/BigData47090.2019.9006261
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Pandey, S., Chowdhury, N., R.Raje, R., Mohler, G., & Carter, J. (2019). Trust Estimation of Historical Social Harm Events in Indianapolis Metro Area. In 2019 IEEE International Smart Cities Conference (ISC2) (p. 6). http://doi.org/10.1109/ISC246665.2019.9071689
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Carter, J. G., Mohler, G., & Ray, B. (2019). Spatial Concentration of Opioid Overdose Deaths in Indianapolis: An Application of the Law of Crime Concentration at Place to a Public Health Epidemic. Journal of Contemporary Criminal Justice, 35(2), 25. http://doi.org/10.1177/1043986218803527
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Mohler, G., Brantingham, P. J., Carter, J., & Short, M. B. (2019). Reducing Bias in Estimates for the Law of Crime Concentration. Journal of Quantitative Criminology. http://doi.org/10.1007/s10940-019-09404-1
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Gray, K., Smolyak, D., Badirli, S., & Mohler, G. (2018). Coupled IGMM-GANs for improved generative adversarial anomaly detection. In 2018 IEEE International Conference on Big Data (Big Data) (p. 4). http://doi.org/10.1109/BigData.2018.8622424
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Mohler, G., & Brantingham, P. J. (2018). Privacy Preserving, Crowd Sourced Crime Hawkes Processes. In 2018 International Workshop on Social Sensing (SocialSens) (p. 6). http://doi.org/10.1109/SocialSens.2018.00016
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Khorshidi, S., Al Hasan, M., Mohler, G., & Short, M. B. (2018). The Role of Graphlets in Viral Processes on Networks. Journal of Nonlinear Science. http://doi.org/10.1007/s00332-018-9465-y
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Mohler, G., Carter, J., & Raje, R. (2018). Improving social harm indices with a modulated Hawkes process. International Journal of Forecasting, 34(3), 9. http://doi.org/10.1016/j.ijforecast.2018.01.006
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