Meredith Franklin

According to our database, Meredith Franklin authored at least 14 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Structured Exploration vs. Generative Flexibility: A Field Study Comparing Bandit and LLM Architectures for Personalised Health Behaviour Interventions.

Dominik P. Hofer, Haochen Song, Rania Islambouli, Laura Hawkins, Ananya Bhattacharjee, Meredith Franklin, Joseph Jay Williams, Jan D. Smeddinck

CoRR, March, 2026

2025

Spatiotemporal Satellite Image Downscaling with Transfer Encoders and Autoregressive Generative Models.

Yang Xiang, Jingwen Zhong, Yige Yan, Petros Koutrakis, Eric Garshick, Meredith Franklin

CoRR, December, 2025

Investigating the Relationship Between Physical Activity and Tailored Behavior Change Messaging: Connecting Contextual Bandit with Large Language Models.

Haochen Song, Dominik P. Hofer, Rania Islambouli, Laura Hawkins, Ananya Bhattacharjee, Meredith Franklin, Joseph Jay Williams

CoRR, June, 2025

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, January, 2025

2023

Physics-Informed Deep Learning to Reduce the Bias in Joint Prediction of Nitrogen Oxides.

Lianfa Li, Roxana Khalili, Frederick W. Lurmann, Nathan R. Pavlovic, Jun Wu, Yan Xu, Yisi Liu, Karl O'Sharkey, Beate Ritz, Luke Oman, Meredith Franklin, Theresa Bastain, Shohreh F. Farzan, Carrie Breton, Rima Habre

CoRR, 2023

Quantile Extreme Gradient Boosting for Uncertainty Quantification.

Xiaozhe Yin, Masoud Fallah Shorshani, Rob McConnell, Scott Fruin, Yao-Yi Chiang, Meredith Franklin

CoRR, 2023

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

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

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

Satellite-Derived PM2.5 Composition and Its Differential Effect on Children's Lung Function.

Khang Chau, Meredith Franklin, W. James Gauderman

Remote. Sens., 2020

Building Autocorrelation-Aware Representations for Fine-Scale Spatiotemporal Prediction.

Yijun Lin, Yao-Yi Chiang, Meredith Franklin, Sandrah P. Eckel, José Luis Ambite

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

2019

Building Explainable Predictive Analytics for Location-Dependent Time-Series Data.

Yao-Yi Chiang, Yijun Lin, Meredith Franklin, Sandrah P. Eckel, José Luis Ambite, Wei-Shinn Ku

Proceedings of the 2019 IEEE First International Conference on Cognitive Machine Intelligence (CogMI), 2019

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

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