George O. Mohler

Orcid: 0000-0003-4293-5106

Affiliations:
  • Boston College, Department of Computer Science, USA
  • Indiana University-Purdue University, Indianapolis, IN, USA (former)


According to our database1, George O. Mohler authored at least 44 papers between 2007 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2023
Cox-Hawkes: doubly stochastic spatiotemporal Poisson processes.
Trans. Mach. Learn. Res., 2023

Rewiring Police Officer Training Networks to Reduce Forecasted Use of Force.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Low-Cost Gunshot Detection System with Localization for Community Based Violence Interruption.
Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

2022
Time-to-event modeling of subreddits transitions to r/SuicideWatch.
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

Adversarial Attacks on Deep Temporal Point Process.
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

Hawkes Process Multi-armed Bandits for Search and Rescue.
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

2021
Learning network event sequences using long short-term memory and second-order statistic loss.
Stat. Anal. Data Min., 2021

Fine-Grained Zero-Shot Learning with DNA as Side Information.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Group Link Prediction Using Conditional Variational Autoencoder.
Proceedings of the Fifteenth International AAAI Conference on Web and Social Media, 2021

Source detection on networks using spatial temporal graph convolutional networks.
Proceedings of the 8th IEEE International Conference on Data Science and Advanced Analytics, 2021

2020
Coupled IGMM-GANs with Applications to Anomaly Detection in Human Mobility Data.
ACM Trans. Spatial Algorithms Syst., 2020

The Role of Graphlets in Viral Processes on Networks.
J. Nonlinear Sci., 2020

Point Process Modeling of Drug Overdoses with Heterogeneous and Missing Data.
CoRR, 2020

Hawkes Process Multi-armed Bandits for Disaster Search and Rescue.
CoRR, 2020

Assessing GAN-based approaches for generative modeling of crime text reports.
Proceedings of the IEEE International Conference on Intelligence and Security Informatics, 2020

Enhancing Trust-based Data Analytics for Forecasting Social Harm.
Proceedings of the IEEE International Smart Cities Conference, 2020

Dynamic topic modeling of the COVID-19 Twitter narrative among U.S. governors and cabinet executives.
Proceedings of the Workshop Proceedings of the 14th International AAAI Conference on Web and Social Media, 2020

Building knowledge graphs of homicide investigation chronologies.
Proceedings of the 20th International Conference on Data Mining Workshops, 2020

Automated Corn Ear Height Prediction Using Video-Based Deep Learning.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Interpretable Hawkes Process Spatial Crime Forecasting with TV-Regularization.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Repurposing recidivism models for forecasting police officer use of force.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Trust-Based Human-Machine Collaboration Mechanism for Predicting Crimes.
Proceedings of the Advanced Information Networking and Applications, 2020

2019
Redditors in Recovery: Text Mining Reddit to Investigate Transitions into Drug Addiction.
CoRR, 2019

SOS-EW: System for Overdose Spike Early Warning Using Drug Mover's Distance-Based Hawkes Processes.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Investigate Transitions into Drug Addiction through Text Mining of Reddit Data.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Trust Estimation of Historical Social Harm Events in Indianapolis Metro Area.
Proceedings of the 2019 IEEE International Smart Cities Conference, 2019

Group Link Prediction.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Low Cost Gunshot Detection using Deep Learning on the Raspberry Pi.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Into the Reverie: Exploration of the Dream Market.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018
Rotational grid, PAI-maximizing crime forecasts.
Stat. Anal. Data Min., 2018

Coupled IGMM-GANs for deep multimodal anomaly detection in human mobility data.
CoRR, 2018

A Penalized Likelihood Method for Balancing Accuracy and Fairness in Predictive Policing.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Evaluation of crime topic models: topic coherence vs spatial crime concentration.
Proceedings of the 2018 IEEE International Conference on Intelligence and Security Informatics, 2018

CDASH: Community Data Analytics for Social Harm Prevention.
Proceedings of the IEEE International Smart Cities Conference, 2018

Privacy Preserving, Crowd Sourced Crime Hawkes Processes.
Proceedings of the 2018 International Workshop on Social Sensing, 2018

Forecasting Retweet Count during Elections Using Graph Convolution Neural Networks.
Proceedings of the 5th IEEE International Conference on Data Science and Advanced Analytics, 2018

Coupled IGMM-GANs for improved generative adversarial anomaly detection.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Predicting Virality on Networks Using Local Graphlet Frequency Distribution.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2014
Learning convolution filters for inverse covariance estimation of neural network connectivity.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2012
Geographic Profiling from Kinetic Models of Criminal Behavior.
SIAM J. Appl. Math., 2012

2010
Improving Density Estimation by Incorporating Spatial Information.
EURASIP J. Adv. Signal Process., 2010

2009
Coupled flow-polymer dynamics via statistical field theory: Modeling and computation.
J. Comput. Phys., 2009

2008
Numerical Solutions of the Complex Langevin Equations in Polymer Field Theory.
Multiscale Model. Simul., 2008

2007
A Practical Splitting Method for Stiff SDEs with Applications to Problems with Small Noise.
Multiscale Model. Simul., 2007


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