Upper level set scan statistic system for detecting arbitrarily shaped hotspots for digital governance. - Ganapati P. Patil; Stephen L. Rathbun; Raj Acharya; Pushkar Patankar; Reza Modarres (DG.O, 2005)

Geoinformatic surveillance of hotspot detection, prioritization and early warning. - Ganapati P. Patil; Stephen L. Rathbun; Raj Acharya; Pushkar Patankar; Reza Modarres (DG.O, 2005)

Geoinformatics of Hotspot Detection and Prioritization for Digital Governance. - Ganapati P. Patil; Raj Acharya; Amy Glasmeier; Wayne Myers; Shashi Phoha; Stephen L. Rathbun (Digital Government, 2008)

Applications of geographic information systems and geo-spatial modeling in environmental epidemiology. - John E. Vena; Sara E. Wagner; Stephen L. Rathbun (ITI, 2013)

Matching in Selective and Balanced Representation Space for Treatment Effects Estimation. - Zhixuan Chu; Stephen L. Rathbun; Sheng Li 001 (CIKM, 2020)

Using Virtual Agents and Activity Monitors to Autonomously Track and Assess Self-Determined Physical Activity Among Young Children: A 6-Week Feasibility Field Study. - Lindsay S. Hahn; Stephen L. Rathbun; Michael D. Schmidt; Kyle Johnsen 001; James J. Annesi; Sun Joo (Grace) Ahn (Cyberpsychology Behav. Soc. Netw., 2020)

Graph Infomax Adversarial Learning for Treatment Effect Estimation with Networked Observational Data. - Zhixuan Chu; Stephen L. Rathbun; Sheng Li 001 (KDD, 2021)

Multi-Task Adversarial Learning for Treatment Effect Estimation in Basket Trials. - Zhixuan Chu; Stephen L. Rathbun; Sheng Li 001 (CHIL, 2022)

Learning Infomax and Domain-Independent Representations for Causal Effect Inference with Real-World Data. - Zhixuan Chu; Stephen L. Rathbun; Sheng Li 001 (SDM, 2022)

Scaling the Virtual Fitness Buddy Ecosystem as a School-Based Physical Activity Intervention for Children. - Catherine Ball; Eric Novotny; Sun Joo Grace Ahn; Lindsay S. Hahn; Michael D. Schmidt; Stephen L. Rathbun; Kyle Johnsen 001; Mike Potel (IEEE Computer Graphics and Applications, 2022)

Continual Causal Inference with Incremental Observational Data. - Zhixuan Chu; Ruopeng Li; Stephen L. Rathbun; Sheng Li 001 (ICDE, 2023)

Estimating Propensity Scores with Deep Adaptive Variable Selection. - Zhixuan Chu; Mechelle Claridy; José Cordero; Sheng Li 001; Stephen L. Rathbun (SDM, 2023)

Mediating social support through sensor-based technologies for children's health behavior change. - Joshua Baldwin; Joomi Lee; Allan D. Tate; Christian D. Okitondo; Kyle Johnsen 001; Michael D. Schmidt; Stephen L. Rathbun; Eric Novotny; Sun Joo (Grace) Ahn (J. Comput. Mediat. Commun., 2023)

Virtual fitness buddy ecosystem: a mixed reality precision health physical activity intervention for children. - Sun Joo Grace Ahn; Michael D. Schmidt; Allan D. Tate; Stephen L. Rathbun; James J. Annesi; Lindsay S. Hahn; Eric Novotny; Christian D. Okitondo; Rebecca N. Grimsley; Kyle Johnsen 001 (npj Digit. Medicine, 2024)