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Journal Articles
- 2024
[j4]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)- 2023
- [j3]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) - 2022
- [j2]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): 105-115 (2022) - 2020
- [j1]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): 471-478 (2020)
Conference and Workshop Papers
- 2023
- [c9]Zhixuan Chu, Ruopeng Li, Stephen L. Rathbun, Sheng Li:
Continual Causal Inference with Incremental Observational Data. ICDE 2023: 3430-3439 - [c8]Zhixuan Chu, Mechelle Claridy, José Cordero, Sheng Li, Stephen L. Rathbun:
Estimating Propensity Scores with Deep Adaptive Variable Selection. SDM 2023: 730-738 - 2022
- [c7]Zhixuan Chu, Stephen L. Rathbun, Sheng Li:
Multi-Task Adversarial Learning for Treatment Effect Estimation in Basket Trials. CHIL 2022: 79-91 - [c6]Zhixuan Chu, Stephen L. Rathbun, Sheng Li:
Learning Infomax and Domain-Independent Representations for Causal Effect Inference with Real-World Data. SDM 2022: 433-441 - 2021
- [c5]Zhixuan Chu, Stephen L. Rathbun, Sheng Li:
Graph Infomax Adversarial Learning for Treatment Effect Estimation with Networked Observational Data. KDD 2021: 176-184 - 2020
- [c4]Zhixuan Chu, Stephen L. Rathbun, Sheng Li:
Matching in Selective and Balanced Representation Space for Treatment Effects Estimation. CIKM 2020: 205-214 - 2013
- [c3]John E. Vena, Sara E. Wagner, Stephen L. Rathbun:
Applications of geographic information systems and geo-spatial modeling in environmental epidemiology. ITI 2013: 29-34 - 2005
- [c2]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: 281-282 - [c1]Ganapati P. Patil, Stephen L. Rathbun, Raj Acharya, Pushkar Patankar, Reza Modarres:
Geoinformatic surveillance of hotspot detection, prioritization and early warning. DG.O 2005: 301-302
Parts in Books or Collections
- 2008
- [p1]Ganapati P. Patil, Raj Acharya, Amy Glasmeier, Wayne Myers, Shashi Phoha, Stephen L. Rathbun:
Geoinformatics of Hotspot Detection and Prioritization for Digital Governance. Digital Government 2008: 377-394
Informal and Other Publications
- 2023
- [i5]Zhixuan Chu, Ruopeng Li, Stephen L. Rathbun, Sheng Li:
Continual Causal Inference with Incremental Observational Data. CoRR abs/2303.01775 (2023) - 2022
- [i4]Zhixuan Chu, Stephen L. Rathbun, Sheng Li:
Learning Infomax and Domain-Independent Representations for Causal Effect Inference with Real-World Data. CoRR abs/2202.10885 (2022) - [i3]Zhixuan Chu, Stephen L. Rathbun, Sheng Li:
Multi-Task Adversarial Learning for Treatment Effect Estimation in Basket Trials. CoRR abs/2203.05123 (2022) - 2021
- [i2]Zhixuan Chu, Stephen L. Rathbun, Sheng Li:
Graph Infomax Adversarial Learning for Treatment Effect Estimation with Networked Observational Data. CoRR abs/2106.02881 (2021) - 2020
- [i1]Zhixuan Chu, Stephen L. Rathbun, Sheng Li:
Matching in Selective and Balanced Representation Space for Treatment Effects Estimation. CoRR abs/2009.06828 (2020)
Coauthor Index
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