Daniel M. Runfola

According to our database, Daniel M. Runfola authored at least 12 papers between 2013 and 2024.

Collaborative distances:

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

2024

Spatiotemporal Prediction of Conflict Fatality Risk Using Convolutional Neural Networks and Satellite Imagery.

Seth Goodman, Ariel BenYishay, Daniel M. Runfola

Remote. Sens., September, 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., April, 2024

Spatially Adaptive Convolutional Networks with Coordinate-Conditioned Layers.

Heather Baier, Daniel M. Runfola

Proceedings of the 32nd ACM International Conference on Advances in Geographic Information Systems, 2024

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., February, 2023

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

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

Susceptibility & defense of satellite image-trained convolutional networks to backdoor attacks.

Ethan Brewer, Jason Lin, Daniel S. Miller Runfola

Inf. Sci., 2022

2021

A convolutional neural network approach to predict non-permissive environments from moderate-resolution imagery.

Seth Goodman, Ariel BenYishay, Daniel M. Runfola

Trans. GIS, 2021

2019

GeoQuery: Integrating HPC systems and public web-based geospatial data tools.

Seth Goodman, Ariel BenYishay, Zhonghui Lv, Daniel M. Runfola

Comput. Geosci., 2019

2017

Simulation study in quantifying heterogeneous causal effects.

Jianing Zhao, Daniel M. Runfola, Peter Kemper

Proceedings of the 2017 Winter Simulation Conference, 2017

Quantifying Heterogeneous Causal Treatment Effects in World Bank Development Finance Projects.

Jianing Zhao, Daniel M. Runfola, Peter Kemper

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

2013

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