The effect of endogeneity and measurement error bias on models of the risk of child stunting. - John Gibson (Math. Comput. Simul., 2002)

Loop-based Composition with RTcmix and Hula. - John Gibson (ICMC, 2004)

Measuring the stock of human capital in New Zealand. - Le Thi Van Trinh; John Gibson; Les Oxley (Math. Comput. Simul., 2005)

Maytag: A Multi-Staged Approach to Identifying Complex Events in Textual Data. - Conrad Chang; Lisa Ferro; John Gibson; Janet Hitzeman; Suzi Lubar; Justin Palmer; Sean Munson; Marc B. Vilain; Benjamin Wellner (EACL, 2006)

Adaptive web-page content identification. - John Gibson; Ben Wellner; Susan Lubar (WIDM, 2007)

A.I. cars for speed racer. - Brad Herman; John Gibson; Erik Gamache (SIGGRAPH Talks, 2008)

Modeling China's energy consumption behavior and changes in energy intensity. - Hengyun Ma; Les Oxley; John Gibson; Bonggeun Kim (Environ. Model. Softw., 2009)

Designing VR and AR Systems with Large Scale Adoption in Mind. - Amela Sadagic; Jesse Attig; John Gibson; Faisal Rashid; Nicholas Arthur; Floy Yates; Cody Tackett (ISVC (2), 2019)

Fine-Tuning Deep Learning Architectures for Early Detection of Oral Cancer. - Roshan Alex Welikala; Paolo Remagnino; Jian Han Lim; Chee Seng Chan; Senthilmani Rajendran; Thomas George Kallarakkal; Rosnah Binti Zain; Ruwan Duminda Jayasinghe; Jyotsna Rimal; Alexander Ross Kerr; Rahmi Amtha; Karthikeya Patil; et al. (ISMCO, 2020)

Autonomous and Composable M&S System of Systems with the Simulation, Experimentation, Analytics and Testing (Seat) Framework. - Saurabh Mittal; Nick Kasdaglis; Lamar Harrell; Robert L. Wittman; John Gibson; David Rocca (WSC, 2020)

Automated Detection and Classification of Oral Lesions Using Deep Learning for Early Detection of Oral Cancer. - Roshan Alex Welikala; Paolo Remagnino; Jian Han Lim; Chee Seng Chan; Senthilmani Rajendran; Thomas George Kallarakkal; Rosnah Binti Zain; Ruwan Duminda Jayasinghe; Jyotsna Rimal; Alexander Ross Kerr; Rahmi Amtha; Karthikeya Patil; et al. (IEEE Access, 2020)

Sustainable land use management for improving land eco-efficiency: a case study of Hebei, China. - Xiangzheng Deng; John Gibson (Ann. Oper. Res., 2020)

D'OraCa: Deep Learning-Based Classification of Oral Lesions with Mouth Landmark Guidance for Early Detection of Oral Cancer. - Jian Han Lim; Chun Shui Tan; Chee Seng Chan; Roshan Alex Welikala; Paolo Remagnino; Senthilmani Rajendran; Thomas George Kallarakkal; Rosnah Binti Zain; Ruwan Duminda Jayasinghe; Jyotsna Rimal; Alexander Ross Kerr; Rahmi Amtha; et al. (MIUA, 2021)

Nighttime Lights and County-Level Economic Activity in the United States: 2001 to 2019. - John Gibson; Geua Boe-Gibson (Remote. Sens., 2021)

SimpleRecon: 3D Reconstruction Without 3D Convolutions. - Mohamed Sayed; John Gibson; Jamie Watson; Victor Prisacariu; Michael Firman; Clément Godard (ECCV (33), 2022)

Using Multi-Source Nighttime Lights Data to Proxy for County-Level Economic Activity in China from 2012 to 2019. - Xiaoxuan Zhang; John Gibson (Remote. Sens., 2022)

Evaluating the Risk of Enabling Energy Storage Systems to Provide Multiple Services. - John R. Theisen; Anjan Bose; Monish Mukherjee; Michael Diedesch; John Gibson (ISGT, 2023)

Providing a User Extensible Service-Enabled Multi-Fidelity Hybrid Cloud-Deployable SoS Test and Evaluation (T&E) Infrastructure: Application of Modeling and Simulation (M&S) as a Service (MSaaS). - Saurabh Mittal; Robert L. Wittman; John Gibson; Josh Huffman; Hans Miller (Inf., 2023)