default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDGeorge O. Mohler
Person information
- affiliation: Boston College, Department of Computer Science, USA
- affiliation (former): Indiana University-Purdue University, Indianapolis, IN, USA
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2023
[j10]Xenia Miscouridou, Samir Bhatt, George O. Mohler, Seth R. Flaxman, Swapnil Mishra:
Cox-Hawkes: doubly stochastic spatiotemporal Poisson processes. Trans. Mach. Learn. Res. 2023 (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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-07 21:25 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
