Multiscale Stochastic Representation in High-Dimensional Data Using Gaussian Processes with Implicit Diffusion Metrics. - Charanraj Thimmisetty; Arman Khodabakhshnejad; Nima Jabbari; Fred Aminzadeh; Roger G. Ghanem; Kelly Rose; Jennifer R. Bauer; Corinne Disenhof (DyDESS, 2014)

Variable Grid Method: An Intuitive Approach for Simultaneously Quantifying and Visualizing Spatial Data and Uncertainty. - Jennifer R. Bauer; Kelly Rose (Trans. GIS, 2015)

A geospatial evaluation of oil spill impact potential on coastal tourism in the Gulf of Mexico. - Jake R. Nelson; Tony H. Grubesic; Lawrence Sim; Kelly Rose (Comput. Environ. Urban Syst., 2018)

Cumulative spatial impact layers: A novel multivariate spatio-temporal analytical summarization tool. - Lucy Romeo; Jake R. Nelson; Patrick Wingo; Jennifer R. Bauer; Devin Justman; Kelly Rose (Trans. GIS, 2019)

Distilling data to drive carbon storage insights. - Paige Morkner; Jennifer R. Bauer; C. Gabriel Creason; Michael Sabbatino; Patrick Wingo; Randall Greenburg; Samuel Walker; David Yeates; Kelly Rose (Comput. Geosci., 2022)

A Python Tool for Predicting and Assessing Unconventional Rare-Earth and Critical Mineral Resources. - Patrick Wingo; Devin Justman; C. Gabriel Creason; Mackenzie Mark-Moser; Scott Montross; Kelly Rose (J. Open Source Softw., 2023)

Enhancing knowledge discovery from unstructured data using a deep learning approach to support subsurface modeling predictions. - Brendan Hoover; Dakota Zaengle; Mackenzie Mark-Moser; Patrick Wingo; Anuj Suhag; Kelly Rose (Frontiers Big Data, 2024)