| 2019 | WoWMoM | Adaptive Passive Mobile Sensing Using Reinforcement Learning. | Lihua Cai, Mehdi Boukhechba, Navreet Kaur, Congyu Wu, Laura E. Barnes, Matthew S. Gerber |
| 2017 | ICMLA | HDLTex: Hierarchical Deep Learning for Text Classification. | Kamran Kowsari, Donald E. Brown, Mojtaba Heidarysafa, Kiana Jafari Meimandi, Matthew S. Gerber, Laura E. Barnes |
| 2017 | Mobisys | Discovery of Behavioral Markers of Social Anxiety from Smartphone Sensor Data. | Yu Huang, Jiaqi Gong, Mark Rucker, Philip Chow, Karl C. Fua, Matthew S. Gerber, Bethany A. Teachman, Laura E. Barnes |
| 2017 | WSC | Agent-based model construction using inverse reinforcement learning. | Kamwoo Lee, Mark Rucker, William T. Scherer, Peter A. Beling, Matthew S. Gerber, Hyojung Kang |
| 2016 | ICMLA | Automatic Optimization of Localized Kernel Density Estimation for Hotspot Policing. | Mohammad Al Boni, Matthew S. Gerber |
| 2016 | ICMLA | Area-Specific Crime Prediction Models. | Mohammad Al Boni, Matthew S. Gerber |
| 2016 | SMC | Predicting crime with routine activity patterns inferred from social media. | Mohammad Al Boni, Matthew S. Gerber |
| 2015 | ACL | Model Adaptation for Personalized Opinion Analysis. | Mohammad Al Boni, Keira Zhou, Hongning Wang, Matthew S. Gerber |
| 2013 | ICMLA | Scalable and Locally Applicable Measures of Treatment Variation That Use Hospital Billing Data. | Michael A. Vedomske, Matthew S. Gerber, Donald E. Brown, James H. Harrison |
| 2012 | ISI | Spatio-temporal modeling of criminal incidents using geographic, demographic, and twitter-derived information. | Xiaofeng Wang, Donald E. Brown, Matthew S. Gerber |