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Publication search results
found 17 matches
- 2023
- Emily L. Aiken, Tim Ohlenburg, Joshua Blumenstock:
Moving targets: When does a poverty prediction model need to be updated? COMPASS 2023: 117 - Emily L. Aiken, Esther Rolf, Joshua Blumenstock:
Fairness and Representation in Satellite-Based Poverty Maps: Evidence of Urban-Rural Disparities and Their Impacts on Downstream Policy. IJCAI 2023: 5888-5896 - Emily L. Aiken, Esther Rolf, Joshua Blumenstock:
Fairness and representation in satellite-based poverty maps: Evidence of urban-rural disparities and their impacts on downstream policy. CoRR abs/2305.01783 (2023) - Nitin Kohli, Emily L. Aiken, Joshua Blumenstock:
Privacy Guarantees for Personal Mobility Data in Humanitarian Response. CoRR abs/2306.09471 (2023) - 2022
- Emily L. Aiken, Suzanne Bellue, Dean S. Karlan, Chris Udry, Joshua E. Blumenstock:
Machine learning and phone data can improve targeting of humanitarian aid. Nat. 603(7903): 864-870 (2022) - Emily L. Aiken, Viraj Thakur, Joshua Blumenstock:
Phone Sharing and Cash Transfers in Togo: Quantitative Evidence from Mobile Phone Data. COMPASS 2022: 214-231 - Rachel B. Warren, Emily L. Aiken, Joshua Blumenstock:
Note: Home Location Detection from Mobile Phone Data: Evidence from Togo. COMPASS 2022: 685-692 - Emily L. Aiken, Guadalupe Bedoya, Joshua Blumenstock, Aidan Coville:
Program Targeting with Machine Learning and Mobile Phone Data: Evidence from an Anti-Poverty Intervention in Afghanistan. CoRR abs/2206.11400 (2022) - Satej Soman, Emily L. Aiken, Esther Rolf, Joshua Blumenstock:
Can Strategic Data Collection Improve the Performance of Poverty Prediction Models? CoRR abs/2211.08735 (2022) - 2021
- Emily L. Aiken, Viraj Thakur, Joshua E. Blumenstock:
Phone Sharing and Cash Transfers in Togo: Quantitative Evidence from Mobile Phone Data. CoRR abs/2111.00175 (2021) - 2020
- Emily L. Aiken, Sarah F. McGough, Maimuna S. Majumder, Gal Wachtel, André T. Nguyen, Cécile Viboud, Mauricio Santillana:
Real-time estimation of disease activity in emerging outbreaks using internet search information. PLoS Comput. Biol. 16(8) (2020) - Emily L. Aiken, Guadalupe Bedoya, Aidan Coville, Joshua E. Blumenstock:
Targeting Development Aid with Machine Learning and Mobile Phone Data. COMPASS 2020: 310-311 - Elliott Slaughter, Wei Wu, Yuankun Fu, Legend Brandenburg, Nicolai Garcia, Wilhem Kautz, Emily Marx, Kaleb S. Morris, Qinglei Cao, George Bosilca, Seema Mirchandaney, Wonchan Lee, Sean Treichler, Patrick S. McCormick, Alex Aiken:
Task bench: a parameterized benchmark for evaluating parallel runtime performance. SC 2020: 62 - 2019
- Elliott Slaughter, Wei Wu, Yuankun Fu, Legend Brandenburg, Nicolai Garcia, Wilhem Kautz, Emily Marx, Kaleb S. Morris, Wonchan Lee, Qinglei Cao, George Bosilca, Seema Mirchandaney, Sean Treichler, Patrick S. McCormick, Alex Aiken:
Task Bench: A Parameterized Benchmark for Evaluating Parallel Runtime Performance. CoRR abs/1908.05790 (2019) - Emily L. Aiken, André T. Nguyen, Mauricio Santillana:
Towards the Use of Neural Networks for Influenza Prediction at Multiple Spatial Resolutions. CoRR abs/1911.02673 (2019) - 2018
- Jennifer Barredo, Emily Aiken, Mascha van 't Wout-Frank, Benjamin D. Greenberg, Linda L. Carpenter, Noah S. Philip:
Network Functional Architecture and Aberrant Functional Connectivity in Post-Traumatic Stress Disorder: A Clinical Application of Network Convergence. Brain Connect. 8(9): 549-557 (2018) - Emily B. Frank, Margaret Holben Ellis, Lydia Aikenhead, Paul Messier:
The computational analysis of watermarks: Setting the stage for the development of a Watermark Imaging Box (WImBo). CISS 2018: 1-4
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