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ORCIDGeorge O. Mohler
Person information
- affiliation: Boston College, Department of Computer Science, USA
- affiliation (former): Indiana University-Purdue University, Indianapolis, IN, USA
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2020 – today
- 2023
[c30]Isaac Manring, James H. Hill, George O. Mohler, P. Jeffrey Brantingham, Thomas Williams, Bruce White:
Low-Cost Gunshot Detection System with Localization for Community Based Violence Interruption. DSAA 2023: 1-7- [c29]Ritika Pandey
, Jeremy G. Carter, James H. Hill, George O. Mohler:
Rewiring Police Officer Training Networks to Reduce Forecasted Use of Force. KDD 2023: 4696-4704 - [i8]Xueying Liu, Shiaofen Fang, George O. Mohler, Joan Carlson, Yunyu Xiao:
Time-to-event modeling of subreddits transitions to r/SuicideWatch. CoRR abs/2302.06030 (2023) - 2022
- [c28]Samira Khorshidi, Bao Wang, George O. Mohler:
Adversarial Attacks on Deep Temporal Point Process. ICMLA 2022: 1-8 - [c27]Wen-Hao Chiang, George O. Mohler:
Hawkes Process Multi-armed Bandits for Search and Rescue. ICMLA 2022: 278-285 - [c26]Xueying Liu, Shiaofen Fang, George O. Mohler, Joan Carlson, Yunyu Xiao:
Time-to-event modeling of subreddits transitions to r/SuicideWatch. ICMLA 2022: 974-979 - [i7]Xenia Miscouridou, Samir Bhatt, George O. Mohler, Seth R. Flaxman, Swapnil Mishra:
Cox-Hawkes: doubly stochastic spatiotemporal Poisson processes. CoRR abs/2210.11844 (2022) - 2021
- [j9]Hao Sha, Mohammad Al Hasan, George O. Mohler:
Learning network event sequences using long short-term memory and second-order statistic loss. Stat. Anal. Data Min. 14(1): 61-73 (2021) - [c25]Hao Sha, Mohammad Al Hasan, George O. Mohler:
Source detection on networks using spatial temporal graph convolutional networks. DSAA 2021: 1-11 - [c24]Hao Sha, Mohammad Al Hasan, George O. Mohler:
Group Link Prediction Using Conditional Variational Autoencoder. ICWSM 2021: 656-667 - [c23]Sarkhan Badirli, Zeynep Akata, George O. Mohler, Christine Picard, Murat Dundar:
Fine-Grained Zero-Shot Learning with DNA as Side Information. NeurIPS 2021: 19352-19362 - [i6]Sarkhan Badirli, Zeynep Akata, George O. Mohler, Christine Picard, Murat Dundar:
Fine-Grained Zero-Shot Learning with DNA as Side Information. CoRR abs/2109.14133 (2021) - 2020
- [j8]Samira Khorshidi, Mohammad Al Hasan, George O. Mohler, Martin B. Short:
The Role of Graphlets in Viral Processes on Networks. J. Nonlinear Sci. 30(5): 2309-2324 (2020) - [j7]Daniel Smolyak, Kathryn Gray, Sarkhan Badirli, George O. Mohler:
Coupled IGMM-GANs with Applications to Anomaly Detection in Human Mobility Data. ACM Trans. Spatial Algorithms Syst. 6(4): 24:1-24:14 (2020) - [c22]Davinder Kaur, Suleyman Uslu, Arjan Durresi, George O. Mohler, Jeremy G. Carter:
Trust-Based Human-Machine Collaboration Mechanism for Predicting Crimes. AINA 2020: 603-616 - [c21]Johnson Wong, Hao Sha, Mohammad Al Hasan, George O. Mohler, Steve Becker, Curtis Wiltse:
Automated Corn Ear Height Prediction Using Video-Based Deep Learning. IEEE BigData 2020: 2371-2374 - [c20]Samira Khorshidi, Jeremy G. Carter, George O. Mohler:
Repurposing recidivism models for forecasting police officer use of force. IEEE BigData 2020: 3199-3203 - [c19]Hao Sha, Mohammad Al Hasan, Jeremy G. Carter, George O. Mohler:
Interpretable Hawkes Process Spatial Crime Forecasting with TV-Regularization. IEEE BigData 2020: 3228-3236 - [c18]Ritika Pandey, P. Jeffrey Brantingham, Craig D. Uchida, George O. Mohler:
Building knowledge graphs of homicide investigation chronologies. ICDM (Workshops) 2020: 790-798 - [c17]Hao Sha, Mohammad Al Hasan, George O. Mohler, P. Jeffrey Brantingham:
Dynamic topic modeling of the COVID-19 Twitter narrative among U.S. governors and cabinet executives. ICWSM Workshops 2020 - [c16]Nahida Sultana Chowdhury, Rajeev R. Raje, Saurabh Pandey, George O. Mohler, Jeremy G. Carter:
Enhancing Trust-based Data Analytics for Forecasting Social Harm. ISC2 2020: 1-8 - [c15]Samira Khorshidi, George O. Mohler, Jeremy G. Carter:
Assessing GAN-based approaches for generative modeling of crime text reports. ISI 2020: 1-6 - [i5]Wen-Hao Chiang, George O. Mohler:
Hawkes Process Multi-armed Bandits for Disaster Search and Rescue. CoRR abs/2004.01580 (2020) - [i4]Hao Sha, Mohammad Al Hasan, George O. Mohler, P. Jeffrey Brantingham:
Dynamic topic modeling of the COVID-19 Twitter narrative among U.S. governors and cabinet executives. CoRR abs/2004.11692 (2020) - [i3]Xueying Liu, Jeremy G. Carter, Brad Ray, George O. Mohler:
Point Process Modeling of Drug Overdoses with Heterogeneous and Missing Data. CoRR abs/2010.06080 (2020)
2010 – 2019
- 2019
- [c14]Theo Carr, Jun Zhuang, Dwight Sablan, Emma LaRue, Yubao Wu, Mohammad Al Hasan, George O. Mohler:
Into the Reverie: Exploration of the Dream Market. IEEE BigData 2019: 1432-1441 - [c13]Alex Morehead, Lauren Ogden, Gabe Magee, Ryan Hosler, Bruce White, George O. Mohler:
Low Cost Gunshot Detection using Deep Learning on the Raspberry Pi. IEEE BigData 2019: 3038-3044 - [c12]Andrew Stanhope, Hao Sha, Danielle Barman, Mohammad Al Hasan, George O. Mohler:
Group Link Prediction. IEEE BigData 2019: 3045-3052 - [c11]Saurabh Pandey, Nahida Chowdhury, Rajeev R. Raje, George O. Mohler, Jeremy G. Carter:
Trust Estimation of Historical Social Harm Events in Indianapolis Metro Area. ISC2 2019: 193-198 - [c10]John Lu, Sumati Sridhar, Ritika Pandey, Mohammad Al Hasan, George O. Mohler:
Investigate Transitions into Drug Addiction through Text Mining of Reddit Data. KDD 2019: 2367-2375 - [c9]Wen-Hao Chiang, Baichuan Yuan, Hao Li, Bao Wang, Andrea L. Bertozzi, Jeremy G. Carter, Brad Ray, George O. Mohler:
SOS-EW: System for Overdose Spike Early Warning Using Drug Mover's Distance-Based Hawkes Processes. PKDD/ECML Workshops (1) 2019: 538-554 - [i2]John Lu, Sumati Sridhar, Ritika Pandey, Mohammad Al Hasan, George O. Mohler:
Redditors in Recovery: Text Mining Reddit to Investigate Transitions into Drug Addiction. CoRR abs/1903.04081 (2019) - 2018
- [j6]George O. Mohler, Michael D. Porter:
Rotational grid, PAI-maximizing crime forecasts. Stat. Anal. Data Min. 11(5): 227-236 (2018) - [c8]Andrew Baas, Frances Hung, Hao Sha, Mohammad Al Hasan, George O. Mohler:
Predicting Virality on Networks Using Local Graphlet Frequency Distribution. IEEE BigData 2018: 2475-2482 - [c7]Kathryn Gray, Daniel Smolyak, Sarkhan Badirli, George O. Mohler:
Coupled IGMM-GANs for improved generative adversarial anomaly detection. IEEE BigData 2018: 2538-2541 - [c6]Raghavendran Vijayan, George O. Mohler:
Forecasting Retweet Count during Elections Using Graph Convolution Neural Networks. DSAA 2018: 256-262 - [c5]George O. Mohler, P. Jeffrey Brantingham:
Privacy Preserving, Crowd Sourced Crime Hawkes Processes. SocialSens@IoTDI 2018: 14-19 - [c4]Saurabh Pandey, Nahida Chowdhury, Milan Patil, Rajeev R. Raje, C. S. Shreyas, George O. Mohler, Jeremy G. Carter:
CDASH: Community Data Analytics for Social Harm Prevention. ISC2 2018: 1-8 - [c3]Ritika Pandey, George O. Mohler:
Evaluation of crime topic models: topic coherence vs spatial crime concentration. ISI 2018: 76-78 - [c2]George O. Mohler, Rajeev R. Raje, Jeremy G. Carter, Matthew Valasik, P. Jeffrey Brantingham:
A Penalized Likelihood Method for Balancing Accuracy and Fairness in Predictive Policing. SMC 2018: 2454-2459 - [i1]Kathryn Gray, Daniel Smolyak, Sarkhan Badirli, George O. Mohler:
Coupled IGMM-GANs for deep multimodal anomaly detection in human mobility data. CoRR abs/1809.02728 (2018) - 2014
- [c1]George O. Mohler:
Learning convolution filters for inverse covariance estimation of neural network connectivity. NIPS 2014: 891-899 - 2012
- [j5]George O. Mohler, Martin B. Short:
Geographic Profiling from Kinetic Models of Criminal Behavior. SIAM J. Appl. Math. 72(1): 163-180 (2012) - 2010
- [j4]Laura M. Smith, Matthew S. Keegan, Todd Wittman, George O. Mohler, Andrea L. Bertozzi:
Improving Density Estimation by Incorporating Spatial Information. EURASIP J. Adv. Signal Process. 2010 (2010)
2000 – 2009
- 2009
- [j3]Héctor D. Ceniceros, Glenn H. Fredrickson, George O. Mohler:
Coupled flow-polymer dynamics via statistical field theory: Modeling and computation. J. Comput. Phys. 228(5): 1624-1638 (2009) - 2008
- [j2]Erin M. Lennon, George O. Mohler, Héctor D. Ceniceros, Carlos J. García-Cervera, Glenn H. Fredrickson:
Numerical Solutions of the Complex Langevin Equations in Polymer Field Theory. Multiscale Model. Simul. 6(4): 1347-1370 (2008) - 2007
- [j1]Héctor D. Ceniceros, George O. Mohler:
A Practical Splitting Method for Stiff SDEs with Applications to Problems with Small Noise. Multiscale Model. Simul. 6(1): 212-227 (2007)
Coauthor Index
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