| 2025 | AIED | MisstepMath: A Diverse Student Mistake Dataset for AI in Mathematics Teacher Training. | Shahina Mohd Azam Ansari, James P. Bywater, Sarah Lilly, Donald E. Brown, Jennifer L. Chiu |
| 2025 | ICCV | Towards Robust Multimodal Representation: A Unified Approach with Adaptive Experts and Alignment. | Nazanin Moradinasab, Saurav Sengupta, Jiebei Liu, Sana Syed, Donald E. Brown |
| 2024 | ICIP | Gengmm: Generalized Gaussian-Mixture-Based Domain Adaptation Model for Semantic Segmentation. | Nazanin Moradinasab, Hassan Jafarzadeh, Donald E. Brown |
| 2024 | ICMLA | ProtoGMM: Multi-prototype Gaussian-Mixture-based Domain Adaptation Model for Semantic Segmentation. | Nazanin Moradinasab, Laura S. Shankman, Rebecca A. Deaton, Gary K. Owens, Donald E. Brown |
| 2023 | ACSAC | Global Analysis with Aggregation-based Beaconing Detection across Large Campus Networks. | Yizhe Zhang, Hongying Dong, Alastair Nottingham, Molly Buchanan, Donald E. Brown, Yixin Sun |
| 2023 | AIED | Classifying Mathematics Teacher Questions to Support Mathematical Discourse. | Debajyoti Datta, James P. Bywater, Maria Phillips, Sarah Lilly, Jennifer L. Chiu, Ginger S. Watson, Donald E. Brown |
| 2023 | ICMLA | A Bayesian Hierarchical Analysis on the Disparity of Emergency Department Visits for COVID-19: A Cohort Study Using National COVID Cohort Collaborative (N3C) Data. | Sihang Jiang, Johanna Loomba, Andrea Zhou, Suchetha Sharma, Saurav Sengupta, Donald E. Brown |
| 2023 | ICMLA | Determining Risk Factors for Long COVID Using Positive Unlabeled Learning on Electronic Health Records Data from NIH N3C. | Saurav Sengupta, Johanna Loomba, Suchetha Sharma, Scott A. Chapman, Donald E. Brown |
| 2023 | MICCAI | Label-Efficient Contrastive Learning-Based Model for Nuclei Detection and Classification in 3D Cardiovascular Immunofluorescent Images. | Nazanin Moradinasab, Rebecca A. Deaton, Laura S. Shankman, Gary K. Owens, Donald E. Brown |
| 2022 | AIED | Human-in-the-Loop Data Collection and Evaluation for Improving Mathematical Conversations. | Debajyoti Datta, Maria Phillips, James P. Bywater, Sarah Lilly, Jennifer L. Chiu, Ginger S. Watson, Donald E. Brown |
| 2022 | MICCAI | MaNi: Maximizing Mutual Information for Nuclei Cross-Domain Unsupervised Segmentation. | Yash Sharma, Sana Syed, Donald E. Brown |
| 2020 | BIBE | Semi-Supervised Classification of Noisy, Gigapixel Histology Images. | J. Vince Pulido, Shan Guleria, Lubaina Ehsan, Matthew Fasullo, Robert Lippman, Pritesh Mutha, Tilak Shah, Sana Syed, Donald E. Brown |
| 2020 | ICPR | Self-attentive Adversarial Stain Normalization. | Aman Shrivastava, William Adorno, Yash Sharma, Lubaina Ehsan, S. Asad Ali, Sean R. Moore, Beatrice C. Amadi, Paul Kelly, Sana Syed, Donald E. Brown |
| 2019 | ICCCN | MobiAmbulance: Optimal Scheduling of Emergency Vehicles in Catastrophic Situations. | Li Yan, Shohaib Mahmud, Haiying Shen, Natasha Zhang Foutz, Donald E. Brown, Wie Yusuf, Derek Loftis, Lucas Lyons, Jonathan L. Goodall, Joshua Anton |
| 2018 | CHIRA | Comparing the Performance of an Immersive Virtual Reality and Traditional Desktop Cultural Game. | Brian An, Forrest Matteo, Matt Epstein, Donald E. Brown |
| 2018 | IC3K | Predicting Violent Behavior using Language Agnostic Models. | Yingjie Liu, Gregory Wert, Benjamin Greenawald, Mohammad Al Boni, Donald E. Brown |
| 2018 | ICMLA | Analysis of Railway Accidents' Narratives Using Deep Learning. | Mojtaba Heidarysafa, Kamran Kowsari, Laura E. Barnes, Donald E. Brown |
| 2018 | WSC | Exploring gaze Behavior to Assess Performance in Digital Game-based Learning Systems. | Brian An, Inki Kim, Erfan Pakdamanian, Donald E. Brown |
| 2018 | TrustCom | Privacy Preserving Distributed Deep Learning and Its Application in Credit Card Fraud Detection. | Yang Wang, Stephen C. Adams, Peter A. Beling, Steven Greenspan, Sridhar Rajagopalan, Maria C. Velez-Rojas, Serge Mankovski, Steven M. Boker, Donald E. Brown |
| 2017 | AMIA | Environmental Reservoirs of Nosocomial Infection: Imputation Methods for Linking Clinical and Environmental Microbiological Data to Understand Infection Transmission. | Julia Lensing, Ketki Vilankar, Hyojung Kang, Donald E. Brown, Amy Mathers, Laura E. Barnes |
| 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 |
| 2016 | ICMLA | Extracting Addresses from News Reports Using Conditional Random Fields. | Donald E. Brown, Xiaoqian Liu |
| 2014 | BIBE | Measures of Entropy and Change Point Analysis as Predictors of Post-Surgical Adverse Outcomes. | Zachary Terner, Timothy Carroll, Donald E. Brown |
| 2013 | ICMLA | Random Forests on Ubiquitous Data for Heart Failure 30-Day Readmissions Prediction. | Michael A. Vedomske, Donald E. Brown, James H. Harrison |
| 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 |
| 2013 | WSC | Using discrete event simulation to evaluate time series forecasting methods for security applications. | Samuel H. Huddleston, Donald E. Brown |
| 2013 | WSC | A comparison of evaluation methods for police patrol district designs. | Yue Zhang, Samuel H. Huddleston, Donald E. Brown, Gerard P. Learmonth |
| 2012 | ISI | Spatio-temporal modeling of criminal incidents using geographic, demographic, and twitter-derived information. | Xiaofeng Wang, Donald E. Brown, Matthew S. Gerber |
| 2012 | ISI | Police patrol district design using agent-based simulation and GIS. | Yue Zhang, Donald E. Brown |
| 2011 | ISI | The spatio-temporal generalized additive model for criminal incidents. | Xiaofeng Wang, Donald E. Brown |
| 2005 | SMC | Assessing casualty densities based on sensor reports pursuant to a large-scale disaster. | C. Donald Robinson, Donald E. Brown |
| 2005 | WSC | First responder information flow simulation: a tool for technology assessment. | C. Donald Robinson, Donald E. Brown |
| 2004 | ISI | Spatial Forecast Methods for Terrorist Events in Urban Environments. | Donald E. Brown, Jason Dalton, Heidi Hoyle |
| 2004 | WSC | Using Agent-based Modeling and Human-in-the-Loop Simulation to Analyze Army Acquisition Programs. | Patrick M. Downes, Michael J. Kwinn Jr., Donald E. Brown |
| 2004 | WSC | Simulated Annealing for Selection of Experimental Regions in Response Surface Methodology Applications. | Jeffrey B. Schamburg, Donald E. Brown |
| 2004 | WSC | A Generalized Multiple Response Surface Methodology for Complex Computer Simulation Applications. | Jeffrey B. Schamburg, Donald E. Brown |
| 2003 | ISI | Criminal Incident Data Association Using the OLAP Technology. | Song Lin, Donald E. Brown |
| 2003 | ISI | Decision Based Spatial Analysis of Crime. | Yifei Xue, Donald E. Brown |
| 2003 | SMC | Geographic profiling with event prediction. | Justin K. Stile, Donald E. Brown |
| 2003 | SDM | An Outlier-based Data Association Method for Linking Criminal Incidents. | Song Lin, Donald E. Brown |
| 2002 | AMIA | Design Approach for Integration of Demographic, Biologic, and Clinical Data. | Jason Dalton, Steve Tropello, Sandra Pelletier, Jason A. Lyman, Bruce P. Dembling, Ken Scully, William A. Knaus, Donald E. Brown |
| 2002 | SMC | Mining human failure dynamics from accident data using logistic regression and decision trees. | Donald E. Brown, Justin K. Stile, Louise F. Gunderson, Ted C. Giras |
| 2001 | SMC | Data mining time series with applications to crime analysis. | Donald E. Brown, Rosemary B. Oxford |
| 2001 | SMC | Using cluster specific salience weighting to determine the preferences of agents for multi-agent simulations. | Louise F. Gunderson, Donald E. Brown |
| 2001 | SDM | Mining Preferences from Spatial-Temporal Data. | Donald E. Brown, Hua Liu, Yifei Xue |
| 2000 | SMC | Intelligent decision support systems. | Stephanie A. Guerlain, Donald E. Brown, Christina Mastrangelo |
| 2000 | SMC | Using a multi-agent model to predict both physical and cyber criminal activity. | Louise F. Gunderson, Donald E. Brown |
| 1998 | SMC | The Regional Crime Analysis Program (ReCAP): a framework for mining data to catch criminals. | Donald E. Brown |
| 1998 | SMC | Spatial-temporal event prediction: a new model. | Hua Liu, Donald E. Brown |
| 1998 | SMC | Tracking multiple objects in terrain. | Edward Sobiesk, John A. Hamilton Jr., John A. Marin, Donald E. Brown, Maria L. Gini |