39 citations · 143 across the 29 of their papers we have counts for
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cs.CV2022★ 1 cited
Mitigating Urban-Rural Disparities in Contrastive Representation Learning with Satellite Imagery
Miao Zhang, Rumi Chunara
Satellite imagery is being leveraged for many societally critical tasks across climate, economics, and public health. Yet, because of heterogeneity in landscapes (e.g. how a road l…
cs.CY2022★ 1 cited
Data science in public health: building next generation capacity
Nicholas Mirin, Heather Mattie, Latifa Jackson +2
Rapidly evolving technology, data and analytic landscapes are permeating many fields and professions. In public health, the need for data science skills including data literacy is…
cs.CV2022
Segmenting across places: The need for fair transfer learning with satellite imagery
Miao Zhang, Harvineet Singh, Lazarus Chok +1
The increasing availability of high-resolution satellite imagery has enabled the use of machine learning to support land-cover measurement and inform policy-making. However, labell…