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Daniel M. Runfola

Daniel S. Miller Runfola

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Journal Articles

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2024
[j7]
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  dblp key:
  - journals/gis/RunfolaSLOB24
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  - https://dblp.org/rec/journals/gis/RunfolaSLOB24
Daniel M. Runfola, Anthony Stefanidis, Zhonghui Lv, Joseph O'Brien, Heather Baier:
A multi-glimpse deep learning architecture to estimate socioeconomic census metrics in the context of extreme scope variance. Int. J. Geogr. Inf. Sci. 38(4): 726-750 (2024)
2023
[j6]
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  - journals/gandc/LvNBR23
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Zhonghui Lv, Karinna Nunez, Ethan Brewer, Daniel M. Runfola:
pyShore: A deep learning toolkit for shoreline structure mapping with high-resolution orthographic imagery and convolutional neural networks. Comput. Geosci. 171: 105296 (2023)
2022
[j5]
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  - journals/isci/BrewerLR22
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Ethan Brewer, Jason Lin, Daniel S. Miller Runfola:
Susceptibility & defense of satellite image-trained convolutional networks to backdoor attacks. Inf. Sci. 603: 244-261 (2022)
[j4]
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  - journals/tgis/RunfolaBMNS22
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Daniel S. Miller Runfola, Heather Baier, Laura Mills, Maeve Naughton-Rockwell, Anthony Stefanidis:
Deep learning fusion of satellite and social information to estimate human migratory flows. Trans. GIS 26(6): 2495-2518 (2022)
2021
[j3]
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  - journals/tgis/GoodmanBR21
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  - https://dblp.org/rec/journals/tgis/GoodmanBR21
Seth Goodman, Ariel BenYishay, Daniel M. Runfola:
A convolutional neural network approach to predict non-permissive environments from moderate-resolution imagery. Trans. GIS 25(2): 674-691 (2021)
2019
[j2]
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  - journals/gandc/GoodmanBLR19
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Seth Goodman, Ariel BenYishay, Zhonghui Lv, Daniel M. Runfola:
GeoQuery: Integrating HPC systems and public web-based geospatial data tools. Comput. Geosci. 122: 103-112 (2019)
2013
[j1]
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  - journals/gis/RunfolaP13
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Daniel S. Miller Runfola, Robert Gilmore Pontius Jr.:
Measuring the temporal instability of land change using the Flow matrix. Int. J. Geogr. Inf. Sci. 27(9): 1696-1716 (2013)

Conference and Workshop Papers

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2017
[c2]
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  - conf/pkdd/ZhaoRK17
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Jianing Zhao, Daniel M. Runfola, Peter Kemper:
Quantifying Heterogeneous Causal Treatment Effects in World Bank Development Finance Projects. ECML/PKDD (3) 2017: 204-215
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Jianing Zhao, Daniel M. Runfola, Peter Kemper:
Simulation study in quantifying heterogeneous causal effects. WSC 2017: 2650-2661

Informal and Other Publications

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2023
[i1]
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  - journals/corr/abs-2301-09620
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Ethan Brewer, Zhonghui Lv, Daniel M. Runfola:
Tracking the industrial growth of modern China with high-resolution panchromatic imagery: A sequential convolutional approach. CoRR abs/2301.09620 (2023)

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