Daniel M. Runfola

11 papers Misc 1Journal 7Unranked 3
YearRankTypeTitle / Venue / Authors
2025 — conf
Measuring Feature Representation Stability in Coordinate-Conditioned Neural Networks.
GeoAI@SIGSPATIAL
Heather Baier, Daniel M. Runfola
2024 J jnl
A multi-glimpse deep learning architecture to estimate socioeconomic census metrics in the context of extreme scope variance.
Int. J. Geogr. Inf. Sci.
Daniel M. Runfola, Anthony Stefanidis, Zhonghui Lv, Joseph O'Brien, Heather Baier
2024 J jnl
Predicting Protests and Riots in Urban Environments With Satellite Imagery and Deep Learning.
Trans. GIS
Scott Warnke, Daniel M. Runfola
2024 — conf
Spatially Adaptive Convolutional Networks with Coordinate-Conditioned Layers.
SIGSPATIAL/GIS
Heather Baier, Daniel M. Runfola
2024 J jnl
Spatiotemporal Prediction of Conflict Fatality Risk Using Convolutional Neural Networks and Satellite Imagery.
Remote. Sens.
Seth Goodman, Ariel BenYishay, Daniel M. Runfola
2023 J jnl
Tracking the industrial growth of modern China with high-resolution panchromatic imagery: A sequential convolutional approach.
CoRR
Ethan Brewer, Zhonghui Lv, Daniel M. Runfola
2023 J jnl
pyShore: A deep learning toolkit for shoreline structure mapping with high-resolution orthographic imagery and convolutional neural networks.
Comput. Geosci.
Zhonghui Lv, Karinna Nunez, Ethan Brewer, Daniel M. Runfola
2021 J jnl
A convolutional neural network approach to predict non-permissive environments from moderate-resolution imagery.
Trans. GIS
Seth Goodman, Ariel BenYishay, Daniel M. Runfola
2019 J jnl
GeoQuery: Integrating HPC systems and public web-based geospatial data tools.
Comput. Geosci.
Seth Goodman, Ariel BenYishay, Zhonghui Lv, Daniel M. Runfola
2017 — conf
Quantifying Heterogeneous Causal Treatment Effects in World Bank Development Finance Projects.
ECML/PKDD (3)
Jianing Zhao, Daniel M. Runfola, Peter Kemper
2017 Misc conf
Simulation study in quantifying heterogeneous causal effects.
WSC
Jianing Zhao, Daniel M. Runfola, Peter Kemper