Using Multi-Angle Imaging SpectroRadiometer Aerosol Mixture Properties for Air Quality Assessment in Mongolia. - Meredith Franklin; Khang Chau; Olga V. Kalashnikova; Michael J. Garay; Temuulen Enebish; Meytar Sorek-Hamer (Remote. Sens., 2018)

Characterization of Subgrid-Scale Variability in Particulate Matter with Respect to Satellite Aerosol Observations. - Meredith Franklin; Olga V. Kalashnikova; Michael J. Garay; Scott Fruin (Remote. Sens., 2018)

Building Explainable Predictive Analytics for Location-Dependent Time-Series Data. - Yao-Yi Chiang; Yijun Lin 001; Meredith Franklin; Sandrah P. Eckel; José Luis Ambite; Wei-Shinn Ku (CogMI, 2019)

Building Autocorrelation-Aware Representations for Fine-Scale Spatiotemporal Prediction. - Yijun Lin 001; Yao-Yi Chiang; Meredith Franklin; Sandrah P. Eckel; José Luis Ambite (ICDM, 2020)

Satellite-Derived PM2.5 Composition and Its Differential Effect on Children's Lung Function. - Khang Chau; Meredith Franklin; W. James Gauderman (Remote. Sens., 2020)

Spatiotemporal Characteristics of the Association between AOD and PM over the California Central Valley. - Meytar Sorek-Hamer; Meredith Franklin; Khang Chau; Michael J. Garay; Olga V. Kalashnikova (Remote. Sens., 2020)

Temporal and Spatial Autocorrelation as Determinants of Regional AOD-PM2.5 Model Performance in the Middle East. - Khang Chau; Meredith Franklin; Huikyo Lee; Michael J. Garay; Olga V. Kalashnikova (Remote. Sens., 2021)

W-TSS: A Wavelet-Based Algorithm for Discovering Time Series Shapelets. - Kenan Li; Huiyu Deng; John Morrison; Rima Habre; Meredith Franklin; Yao-Yi Chiang; Katherine Sward; Frank D. Gilliland; José Luis Ambite; Sandrah P. Eckel (Sensors, 2021)

Quantile Extreme Gradient Boosting for Uncertainty Quantification. - Xiaozhe Yin; Masoud Fallah Shorshani; Rob McConnell; Scott Fruin; Yao-Yi Chiang; Meredith Franklin (CoRR, 2023)

Physics-Informed Deep Learning to Reduce the Bias in Joint Prediction of Nitrogen Oxides. - Lianfa Li; Roxana Khalili; Frederick W. Lurmann; Nathan Pavlovic; Jun Wu; Yan Xu; Yisi Liu; Karl O'Sharkey; Beate Ritz; Luke Oman; Meredith Franklin; Theresa Bastain; et al. (CoRR, 2023)

WAPTS: A Weighted Allocation Probability Adjusted Thompson Sampling Algorithm for High-Dimensional and Sparse Experiment Settings. - Haochen Song; Ilya Musabirov; Ananya Bhattacharjee; Audrey Durand; Meredith Franklin; Anna N. Rafferty; Joseph Jay Williams (CoRR, 2025)

Investigating the Relationship Between Physical Activity and Tailored Behavior Change Messaging: Connecting Contextual Bandit with Large Language Models. - Haochen Song; Dominik Hofer; Rania Islambouli; Laura Hawkins; Ananya Bhattacharjee; Meredith Franklin; Joseph Jay Williams (CoRR, 2025)