Measuring the temporal instability of land change using the Flow matrix. - Daniel S. Miller Runfola; Robert Gilmore Pontius Jr. (Int. J. Geogr. Inf. Sci., 2013)

Quantifying Heterogeneous Causal Treatment Effects in World Bank Development Finance Projects. - Jianing Zhao; Daniel M. Runfola; Peter Kemper (ECML/PKDD (3), 2017)

Simulation study in quantifying heterogeneous causal effects. - Jianing Zhao; Daniel M. Runfola; Peter Kemper (WSC, 2017)

GeoQuery: Integrating HPC systems and public web-based geospatial data tools. - Seth Goodman; Ariel BenYishay; Zhonghui Lv; Daniel M. Runfola (Comput. Geosci., 2019)

A convolutional neural network approach to predict non-permissive environments from moderate-resolution imagery. - Seth Goodman; Ariel BenYishay; Daniel M. Runfola (Trans. GIS, 2021)

Susceptibility & defense of satellite image-trained convolutional networks to backdoor attacks. - Ethan Brewer; Jason Lin; Daniel S. Miller Runfola (Inf. Sci., 2022)

Deep learning fusion of satellite and social information to estimate human migratory flows. - Daniel S. Miller Runfola; Heather Baier; Laura Mills; Maeve Naughton-Rockwell; Anthony Stefanidis (Trans. GIS, 2022)

Tracking the industrial growth of modern China with high-resolution panchromatic imagery: A sequential convolutional approach. - Ethan Brewer; Zhonghui Lv; Daniel M. Runfola (CoRR, 2023)

pyShore: A deep learning toolkit for shoreline structure mapping with high-resolution orthographic imagery and convolutional neural networks. - Zhonghui Lv; Karinna Nunez; Ethan Brewer; Daniel M. Runfola (Comput. Geosci., 2023)

Spatially Adaptive Convolutional Networks with Coordinate-Conditioned Layers. - Heather Baier; Daniel M. Runfola (SIGSPATIAL/GIS, 2024)

A multi-glimpse deep learning architecture to estimate socioeconomic census metrics in the context of extreme scope variance. - Daniel M. Runfola; Anthony Stefanidis; Zhonghui Lv; Joseph O'Brien; Heather Baier (Int. J. Geogr. Inf. Sci., 2024)

Spatiotemporal Prediction of Conflict Fatality Risk Using Convolutional Neural Networks and Satellite Imagery. - Seth Goodman; Ariel BenYishay; Daniel M. Runfola (Remote. Sens., 2024)

Predicting Protests and Riots in Urban Environments With Satellite Imagery and Deep Learning. - Scott Warnke; Daniel M. Runfola (Trans. GIS, 2024)