Stephen L. Rathbun

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 15

Top Topics

Densely Sampled

Causal Inference

Observational Data

Physical Activity

Top Venues

Cyberpsychology Behav. Soc. Netw.

IEEE Computer Graphics and Applications

Publications

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
Virtual fitness buddy ecosystem: a mixed reality precision health physical activity intervention for children. npj Digit. Medicine 7 (1) (2024)
Zhixuan Chu, Ruopeng Li, Stephen L. Rathbun, Sheng Li
Continual Causal Inference with Incremental Observational Data. CoRR (2023)
Zhixuan Chu, Ruopeng Li, Stephen L. Rathbun, Sheng Li
Continual Causal Inference with Incremental Observational Data. ICDE (2023)
Joshua Baldwin, Joomi Lee, Allan D. Tate, Christian D. Okitondo, Kyle Johnsen, Michael D. Schmidt, Stephen L. Rathbun, Eric Novotny, Sun Joo (Grace) Ahn
Mediating social support through sensor-based technologies for children's health behavior change. J. Comput. Mediat. Commun. 28 (5) (2023)
Zhixuan Chu, Mechelle Claridy, José Cordero, Sheng Li, Stephen L. Rathbun
Estimating Propensity Scores with Deep Adaptive Variable Selection. SDM (2023)
Zhixuan Chu, Stephen L. Rathbun, Sheng Li
Learning Infomax and Domain-Independent Representations for Causal Effect Inference with Real-World Data. CoRR (2022)
Zhixuan Chu, Stephen L. Rathbun, Sheng Li
Learning Infomax and Domain-Independent Representations for Causal Effect Inference with Real-World Data. SDM (2022)
Catherine Ball, Eric Novotny, Sun Joo Grace Ahn, Lindsay S. Hahn, Michael D. Schmidt, Stephen L. Rathbun, Kyle Johnsen, Mike Potel
Scaling the Virtual Fitness Buddy Ecosystem as a School-Based Physical Activity Intervention for Children. IEEE Computer Graphics and Applications 42 (1) (2022)
Zhixuan Chu, Stephen L. Rathbun, Sheng Li
Multi-Task Adversarial Learning for Treatment Effect Estimation in Basket Trials. CHIL (2022)
Zhixuan Chu, Stephen L. Rathbun, Sheng Li
Multi-Task Adversarial Learning for Treatment Effect Estimation in Basket Trials. CoRR (2022)
Zhixuan Chu, Stephen L. Rathbun, Sheng Li
Graph Infomax Adversarial Learning for Treatment Effect Estimation with Networked Observational Data. KDD (2021)
Zhixuan Chu, Stephen L. Rathbun, Sheng Li
Graph Infomax Adversarial Learning for Treatment Effect Estimation with Networked Observational Data. CoRR (2021)
Zhixuan Chu, Stephen L. Rathbun, Sheng Li
Matching in Selective and Balanced Representation Space for Treatment Effects Estimation. CIKM (2020)
Lindsay S. Hahn, Stephen L. Rathbun, Michael D. Schmidt, Kyle Johnsen, James J. Annesi, Sun Joo (Grace) Ahn
Using Virtual Agents and Activity Monitors to Autonomously Track and Assess Self-Determined Physical Activity Among Young Children: A 6-Week Feasibility Field Study. Cyberpsychology Behav. Soc. Netw. 23 (7) (2020)
Zhixuan Chu, Stephen L. Rathbun, Sheng Li
Matching in Selective and Balanced Representation Space for Treatment Effects Estimation. CoRR (2020)
John E. Vena, Sara E. Wagner, Stephen L. Rathbun
Applications of geographic information systems and geo-spatial modeling in environmental epidemiology. ITI (2013)
Ganapati P. Patil, Stephen L. Rathbun, Raj Acharya, Pushkar Patankar, Reza Modarres
Geoinformatic surveillance of hotspot detection, prioritization and early warning. DG.O (2005)
Ganapati P. Patil, Stephen L. Rathbun, Raj Acharya, Pushkar Patankar, Reza Modarres
Upper level set scan statistic system for detecting arbitrarily shaped hotspots for digital governance. DG.O (2005)