Matthew S. Gerber

Publication Activity (10 Years)

Years Active: 2012-2020
Publications (10 Years): 24

Top Topics

Inverse Reinforcement Learning

Density Estimation

Clinical Practice Guidelines

Top Venues

J. Medical Syst.

Publications

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) (2020)
Mark A. Rucker, Layne T. Watson, Laura E. Barnes, Matthew S. Gerber
Human Apprenticeship Learning via Kernel-based Inverse Reinforcement Learning. CoRR (2020)
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 (2019)
Erfaneh Gharavi, Rupesh Silwal, Matthew S. Gerber, Hadi Veisi
Siamese Discourse Structure Recursive Neural Network for Semantic Representation. ICSC (2019)
Lihua Cai, Mehdi Boukhechba, Navreet Kaur, Congyu Wu, Laura E. Barnes, Matthew S. Gerber
Adaptive Passive Mobile Sensing Using Reinforcement Learning. WOWMOM (2019)
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)
William Young, John Corbett, Matthew S. Gerber, Stephen Patek, Lu Feng
DAMON: A Data Authenticity Monitoring System for Diabetes Management. IoTDI (2018)
Congyu Wu, Matthew S. Gerber
Forecasting Civil Unrest Using Social Media and Protest Participation Theory. IEEE Trans. Comput. Soc. Syst. 5 (1) (2018)
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) (2018)
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 (2018)
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)
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)
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) (2018)
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)
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) (2017)
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)
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)
Lihua Cai, Congyu Wu, Kiana Jafari Meimandi, Matthew S. Gerber
Adaptive mobile behavior change intervention using reinforcement learning. ICCT (2017)
Kamran Kowsari, Donald E. Brown, Mojtaba Heidarysafa, Kiana Jafari Meimandi, Matthew S. Gerber, Laura E. Barnes
HDLTex: Hierarchical Deep Learning for Text Classification. CoRR (2017)
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)
Mohammad Al Boni, Matthew S. Gerber
Predicting crime with routine activity patterns inferred from social media. SMC (2016)
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)
Mohammad Al Boni, Matthew S. Gerber
Automatic Optimization of Localized Kernel Density Estimation for Hotspot Policing. ICMLA (2016)
Mohammad Al Boni, Matthew S. Gerber
Area-Specific Crime Prediction Models. ICMLA (2016)
Mingjun Wang, Matthew S. Gerber
Using Twitter for Next-Place Prediction, with an Application to Crime Prediction. SSCI (2015)
Carl M. Kruger, Matthew S. Gerber
Identifying Correlates of Homicide Rates in Michoacán, Mexico. SBP (2015)
Mohammad Al Boni, Keira Zhou, Hongning Wang, Matthew S. Gerber
Model Adaptation for Personalized Opinion Analysis. ACL (2) (2015)
Jacob R. Scanlon, Matthew S. Gerber
Forecasting Violent Extremist Cyber Recruitment. IEEE Trans. Inf. Forensics Secur. 10 (11) (2015)
Jacob R. Scanlon, Matthew S. Gerber
Automatic detection of cyber-recruitment by violent extremists. Secur. Informatics 3 (1) (2014)
Matthew S. Gerber
Predicting crime using Twitter and kernel density estimation. Decis. Support Syst. 61 (2014)
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)
Matthew S. Gerber, Lu Tang
Automatic Quality Control of Transportation Reports Using Statistical Language Processing. IEEE Trans. Intell. Transp. Syst. 14 (4) (2013)
Samuel H. Huddleston, Matthew S. Gerber, Donald E. Brown
Geographic Profiling of Criminal Groups for Military Cordon and Search. SBP (2013)
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)
Xiaofeng Wang, Donald E. Brown, Matthew S. Gerber
Spatio-temporal modeling of criminal incidents using geographic, demographic, and twitter-derived information. ISI (2012)
Xiaofeng Wang, Matthew S. Gerber, Donald E. Brown
Automatic Crime Prediction Using Events Extracted from Twitter Posts. SBP (2012)
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)