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Journal Articles
- 2020
[j10]Alina Ristea
, Mohammad Al Boni, Bernd Resch, Matthew S. Gerber, Michael Leitner:
Spatial crime distribution and prediction for sporting events using social media. Int. J. Geogr. Inf. Sci. 34(9): 1708-1739 (2020)- 2019
- [j9]Jiaqi Gong, Yu Huang, Philip I. Chow, Karl C. Fua, Matthew S. Gerber, Bethany A. Teachman, Laura E. Barnes:
Understanding behavioral dynamics of social anxiety among college students through smartphone sensors. Inf. Fusion 49: 57-68 (2019) - 2018
- [j8]Benjamin J. Lobo, Donald E. Brown, Matthew S. Gerber, Peter J. Grazaitis:
A transient stochastic simulation-optimization model for operational fuel planning in-theater. Eur. J. Oper. Res. 264(2): 637-652 (2018) - [j7]Stephen C. Adams, William T. Scherer, K. Preston White Jr., Jason Payne, Oved Hernandez, Matthew S. Gerber, N. Peter Whitehead:
Author Correction to: Dynamic Scheduling for Veterans Health Administration Patients Using Geospatial Dynamic Overbooking. J. Medical Syst. 42(4): 73:1 (2018) - [j6]Congyu Wu, Matthew S. Gerber:
Forecasting Civil Unrest Using Social Media and Protest Participation Theory. IEEE Trans. Comput. Soc. Syst. 5(1): 82-94 (2018) - 2017
- [j5]Stephen C. Adams, William T. Scherer, K. Preston White Jr., Jason Payne, Oved Hernandez, Matthew S. Gerber, N. Peter Whitehead:
Dynamic Scheduling for Veterans Health Administration Patients using Geospatial Dynamic Overbooking. J. Medical Syst. 41(11): 182:1-182:14 (2017) - 2015
- [j4]Jacob R. Scanlon, Matthew S. Gerber:
Forecasting Violent Extremist Cyber Recruitment. IEEE Trans. Inf. Forensics Secur. 10(11): 2461-2470 (2015) - 2014
- [j3]Matthew S. Gerber:
Predicting crime using Twitter and kernel density estimation. Decis. Support Syst. 61: 115-125 (2014) - [j2]Jacob R. Scanlon, Matthew S. Gerber:
Automatic detection of cyber-recruitment by violent extremists. Secur. Informatics 3(1): 5 (2014) - 2013
- [j1]Matthew S. Gerber, Lu Tang:
Automatic Quality Control of Transportation Reports Using Statistical Language Processing. IEEE Trans. Intell. Transp. Syst. 14(4): 1681-1689 (2013)
Conference and Workshop Papers
- 2019
- [c24]Erfaneh Gharavi, Rupesh Silwal, Matthew S. Gerber, Hadi Veisi:
Siamese Discourse Structure Recursive Neural Network for Semantic Representation. ICSC 2019: 330-335 - [c23]Lihua Cai, Mehdi Boukhechba, Navreet Kaur, Congyu Wu, Laura E. Barnes, Matthew S. Gerber:
Adaptive Passive Mobile Sensing Using Reinforcement Learning. WOWMOM 2019: 1-6 - 2018
- [c22]Mawulolo K. Ameko, Lihua Cai, Mehdi Boukhechba, Alexander Daros, Philip I. Chow, Bethany A. Teachman, Matthew S. Gerber, Laura E. Barnes:
Cluster-based approach to improve affect recognition from passively sensed data. BHI 2018: 434-437 - [c21]Congyu Wu, Lihua Cai, Matthew S. Gerber, Mehdi Boukhechba, Laura E. Barnes:
Vector Space Representation of Bluetooth Encounters for Mental Health Inference. UbiComp/ISWC Adjunct 2018: 1691-1699 - [c20]William Young, John Corbett, Matthew S. Gerber, Stephen Patek, Lu Feng:
DAMON: A Data Authenticity Monitoring System for Diabetes Management. IoTDI 2018: 25-36 - [c19]Mehdi Boukhechba, Lihua Cai, Philip I. Chow, Karl C. Fua, Matthew S. Gerber, Bethany A. Teachman, Laura E. Barnes:
Contextual Analysis to Understand Compliance with Smartphone-based Ecological Momentary Assessment. PervasiveHealth 2018: 232-238 - 2017
- [c18]Lihua Cai, Congyu Wu, Kiana Jafari Meimandi, Matthew S. Gerber:
Adaptive mobile behavior change intervention using reinforcement learning. ICCT 2017: 1-2 - [c17]Kamran Kowsari, Donald E. Brown, Mojtaba Heidarysafa, Kiana Jafari Meimandi, Matthew S. Gerber, Laura E. Barnes:
HDLTex: Hierarchical Deep Learning for Text Classification. ICMLA 2017: 364-371 - [c16]Yu Huang, Jiaqi Gong, Mark Rucker, Philip Chow, Karl C. Fua, Matthew S. Gerber, Bethany A. Teachman, Laura E. Barnes:
Discovery of Behavioral Markers of Social Anxiety from Smartphone Sensor Data. DigitalBioMarker@MobiSys 2017: 9-14 - [c15]N. Peter Whitehead, Stephen C. Adams, William T. Scherer, Hyojung Kang, Matthew S. Gerber:
Systems thinking and predictive analytics to improve veteran healthcare scheduling. SysCon 2017: 1-8 - [c14]Kamwoo Lee, Mark Rucker, William T. Scherer, Peter A. Beling, Matthew S. Gerber, Hyojung Kang:
Agent-based model construction using inverse reinforcement learning. WSC 2017: 1264-1275 - 2016
- [c13]Haoyi Xiong, Yu Huang, Laura E. Barnes, Matthew S. Gerber:
Sensus: a cross-platform, general-purpose system for mobile crowdsensing in human-subject studies. UbiComp 2016: 415-426 - [c12]Mohammad Al Boni, Matthew S. Gerber:
Automatic Optimization of Localized Kernel Density Estimation for Hotspot Policing. ICMLA 2016: 32-38 - [c11]Mohammad Al Boni, Matthew S. Gerber:
Area-Specific Crime Prediction Models. ICMLA 2016: 671-676 - [c10]Mohammad Al Boni, Matthew S. Gerber:
Predicting crime with routine activity patterns inferred from social media. SMC 2016: 1233-1238 - 2015
- [c9]Mohammad Al Boni, Keira Zhou, Hongning Wang, Matthew S. Gerber:
Model Adaptation for Personalized Opinion Analysis. ACL (2) 2015: 769-774 - [c8]Carl M. Kruger, Matthew S. Gerber:
Identifying Correlates of Homicide Rates in Michoacán, Mexico. SBP 2015: 321-326 - [c7]Mingjun Wang, Matthew S. Gerber:
Using Twitter for Next-Place Prediction, with an Application to Crime Prediction. SSCI 2015: 941-948 - 2013
- [c6]Michael A. Vedomske, Matthew S. Gerber, Donald E. Brown, James H. Harrison:
Scalable and Locally Applicable Measures of Treatment Variation That Use Hospital Billing Data. ICMLA (2) 2013: 422-427 - [c5]Samuel H. Huddleston, Matthew S. Gerber, Donald E. Brown:
Geographic Profiling of Criminal Groups for Military Cordon and Search. SBP 2013: 503-512 - 2012
- [c4]Matthew S. Gerber, Donald E. Brown, James H. Harrison:
Automatic Formalization of Clinical Practice Guidelines. AAAI Fall Symposium: Information Retrieval and Knowledge Discovery in Biomedical Text 2012 - [c3]Xiaofeng Wang, Donald E. Brown, Matthew S. Gerber:
Spatio-temporal modeling of criminal incidents using geographic, demographic, and twitter-derived information. ISI 2012: 36-41 - [c2]Jon Fox, Samuel H. Huddleston, Matthew S. Gerber, Donald E. Brown:
Investigating a Bayesian Hierarchical Framework for Feature-Space Modeling of Criminal Site-Selection Problems. MAICS 2012: 185-192 - [c1]Xiaofeng Wang, Matthew S. Gerber, Donald E. Brown:
Automatic Crime Prediction Using Events Extracted from Twitter Posts. SBP 2012: 231-238
Informal and Other Publications
- 2020
- [i3]Mark A. Rucker, Layne T. Watson, Laura E. Barnes, Matthew S. Gerber:
Human Apprenticeship Learning via Kernel-based Inverse Reinforcement Learning. CoRR abs/2002.10904 (2020) - 2018
- [i2]Mawulolo K. Ameko, Lihua Cai, Mehdi Boukhechba, Alexander Daros, Philip I. Chow, Bethany A. Teachman, Matthew S. Gerber, Laura E. Barnes:
Cluster-based Approach to Improve Affect Recognition from Passively Sensed Data. CoRR abs/1802.00029 (2018) - 2017
- [i1]Kamran Kowsari, Donald E. Brown, Mojtaba Heidarysafa, Kiana Jafari Meimandi, Matthew S. Gerber, Laura E. Barnes:
HDLTex: Hierarchical Deep Learning for Text Classification. CoRR abs/1709.08267 (2017)
Coauthor Index
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