Predicting household socioeconomic position in Mozambique using satellite and household imagery | Paper Citation Record

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This paper cites Adaptive Explainable Neural Networks (AxNNs).

Predicting household socioeconomic position in Mozambique using satellite and household imagery Adaptive Explainable Neural Networks (AxNNs)

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Predicting household socioeconomic position in Mozambique using satellite and household imagery Adler and Judith Stewart

Reference 2

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This paper cites Kurmi, Wen Qi Fan, Alvaro Avezum, Igbal Azam, Jephat Chifamba, Antonio Dans, Johan L.

Predicting household socioeconomic position in Mozambique using satellite and household imagery Kurmi, Wen Qi Fan, Alvaro Avezum, Igbal Azam, Jephat Chifamba, Antonio Dans, Johan L

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Predicting household socioeconomic position in Mozambique using satellite and household imagery Pritchett

Reference 4

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Predicting household socioeconomic position in Mozambique using satellite and household imagery Assessing asset indices

Reference 5

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This paper cites Measuring socio-economic position for epidemiological studies in low- and middle-income countries: a methods of measurement in epidemiology paper.

Predicting household socioeconomic position in Mozambique using satellite and household imagery Measuring socio-economic position for epidemiological studies in low- and middle-income countries: a methods of measurement in epidemiology paper

Reference 6

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This paper cites The multiple meanings of prosperity and poverty: a cross-site comparison from tanzania.

Predicting household socioeconomic position in Mozambique using satellite and household imagery The multiple meanings of prosperity and poverty: a cross-site comparison from tanzania

Reference 7

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This paper cites Naumova, and William A.

Predicting household socioeconomic position in Mozambique using satellite and household imagery Naumova, and William A

Reference 8

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This paper cites Lobell, and Stefano Ermon.

Predicting household socioeconomic position in Mozambique using satellite and household imagery Lobell, and Stefano Ermon

Reference 9

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Predicting household socioeconomic position in Mozambique using satellite and household imagery Computational socioeconomics

Reference 10

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This paper cites A review of machine learning and satellite imagery for poverty prediction: Implications for development research and applications.

Predicting household socioeconomic position in Mozambique using satellite and household imagery A review of machine learning and satellite imagery for poverty prediction: Implications for development research and applications

Reference 11

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Predicting household socioeconomic position in Mozambique using satellite and household imagery Elvidge, Paul C

Reference 12

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This paper cites Can human development be measured with satellite imagery? Ictd, 17: 0 16--19, 2017.

Predicting household socioeconomic position in Mozambique using satellite and household imagery Can human development be measured with satellite imagery? Ictd, 17: 0 16--19, 2017

Reference 13

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Predicting household socioeconomic position in Mozambique using satellite and household imagery Using satellite data to guide urban poverty reduction

Reference 14

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This paper cites Using publicly available satellite imagery and deep learning to understand economic well-being in africa.

Predicting household socioeconomic position in Mozambique using satellite and household imagery Using publicly available satellite imagery and deep learning to understand economic well-being in africa

Reference 15

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This paper cites Measurement of Dijet Angular Distributions and Search for Quark Compositeness in pp Collisions at 7 TeV.

Predicting household socioeconomic position in Mozambique using satellite and household imagery Measurement of Dijet Angular Distributions and Search for Quark Compositeness in pp Collisions at 7 TeV

Reference 16

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This paper cites Matthew Davis, David B.

Predicting household socioeconomic position in Mozambique using satellite and household imagery Matthew Davis, David B

Reference 17

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This paper cites Estimation of poverty using random forest regression with multi-source data: A case study in bangladesh.

Predicting household socioeconomic position in Mozambique using satellite and household imagery Estimation of poverty using random forest regression with multi-source data: A case study in bangladesh

Reference 18

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This paper cites Generating Interpretable Poverty Maps using Object Detection in Satellite Images.

Predicting household socioeconomic position in Mozambique using satellite and household imagery Generating Interpretable Poverty Maps using Object Detection in Satellite Images

Reference 19

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This paper cites Poverty from space: Using high resolution satellite imagery for estimating economic well-being.

Predicting household socioeconomic position in Mozambique using satellite and household imagery Poverty from space: Using high resolution satellite imagery for estimating economic well-being

Reference 20

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This paper cites Measuring urban poverty using multi-source data and a random forest algorithm: A case study in guangzhou.

Predicting household socioeconomic position in Mozambique using satellite and household imagery Measuring urban poverty using multi-source data and a random forest algorithm: A case study in guangzhou

Reference 21

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Predicting household socioeconomic position in Mozambique using satellite and household imagery Duque, Jorge E

Reference 22

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Predicting household socioeconomic position in Mozambique using satellite and household imagery Transfer learning from deep features for remote sensing and poverty mapping

Reference 23

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Predicting household socioeconomic position in Mozambique using satellite and household imagery Blumenstock

Reference 24

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This paper cites Socioecologically informed use of remote sensing data to predict rural household poverty.

Predicting household socioeconomic position in Mozambique using satellite and household imagery Socioecologically informed use of remote sensing data to predict rural household poverty

Reference 25

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This paper cites Barrett, Christopher Browne, Leiqiu Hu, Yanyan Liu, David S.

Predicting household socioeconomic position in Mozambique using satellite and household imagery Barrett, Christopher Browne, Leiqiu Hu, Yanyan Liu, David S

Reference 26

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This paper cites Using deep learning and google street view to estimate the demographic makeup of neighborhoods across the united states.

Predicting household socioeconomic position in Mozambique using satellite and household imagery Using deep learning and google street view to estimate the demographic makeup of neighborhoods across the united states

Reference 27

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Predicting household socioeconomic position in Mozambique using satellite and household imagery Measuring social, environmental and health inequalities using deep learning and street imagery

Reference 28

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Predicting household socioeconomic position in Mozambique using satellite and household imagery Unresolved cited work

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Predicting household socioeconomic position in Mozambique using satellite and household imagery The dollar street dataset: Images representing the geographic and socioeconomic diversity of the world

Reference 30

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This paper cites A review of explainable ai in the satellite data, deep machine learning, and human poverty domain.

Predicting household socioeconomic position in Mozambique using satellite and household imagery A review of explainable ai in the satellite data, deep machine learning, and human poverty domain

Reference 31

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This paper cites Interpretable socioeconomic status inference from aerial imagery through urban patterns.

Predicting household socioeconomic position in Mozambique using satellite and household imagery Interpretable socioeconomic status inference from aerial imagery through urban patterns

Reference 32

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Predicting household socioeconomic position in Mozambique using satellite and household imagery Cohort Profile Update: Manhiça Health and Demographic Surveillance System (HDSS) of the Manhiça Health Research Centre (CISM)

Reference 33

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Predicting household socioeconomic position in Mozambique using satellite and household imagery Capturing What Matters: Essential Guidelines for Designing Household Surveys

Reference 34

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This paper cites Neighbors’ use of water and sanitation facilities can affect children’s health: a cohort study in mozambique using a spatial approach.

Predicting household socioeconomic position in Mozambique using satellite and household imagery Neighbors’ use of water and sanitation facilities can affect children’s health: a cohort study in mozambique using a spatial approach

Reference 35

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This paper cites Systematic comparison of household income, consumption, and assets to measure health inequalities in low-and middle-income countries.

Predicting household socioeconomic position in Mozambique using satellite and household imagery Systematic comparison of household income, consumption, and assets to measure health inequalities in low-and middle-income countries

Reference 36

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Predicting household socioeconomic position in Mozambique using satellite and household imagery Unresolved cited work

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Predicting household socioeconomic position in Mozambique using satellite and household imagery Deep learning for vision systems

Reference 38

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Predicting household socioeconomic position in Mozambique using satellite and household imagery Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 39

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Predicting household socioeconomic position in Mozambique using satellite and household imagery Cnn features off-the-shelf: An astounding baseline for recognition

Reference 40

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Predicting household socioeconomic position in Mozambique using satellite and household imagery Regularization and Variable Selection Via the Elastic Net

Reference 41

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Predicting household socioeconomic position in Mozambique using satellite and household imagery Random forests

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Predicting household socioeconomic position in Mozambique using satellite and household imagery Xgboost: A scalable tree boosting system

Reference 43

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Predicting household socioeconomic position in Mozambique using satellite and household imagery Interpretable machine learning

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Predicting household socioeconomic position in Mozambique using satellite and household imagery Lundberg, Gabriel Erion, Hugh Chen, Alex DeGrave, Jordan M

Reference 45

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Predicting household socioeconomic position in Mozambique using satellite and household imagery R: A Language and Environment for Statistical Computing

Reference 46

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Predicting household socioeconomic position in Mozambique using satellite and household imagery Unresolved cited work

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This paper cites Approaches and alternatives to the wealth index to measure socioeconomic status using survey data: a critical interpretive synthesis.

Predicting household socioeconomic position in Mozambique using satellite and household imagery Approaches and alternatives to the wealth index to measure socioeconomic status using survey data: a critical interpretive synthesis

Reference 48

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Predicting household socioeconomic position in Mozambique using satellite and household imagery The consumption, income, and wealth of the poorest: An empirical analysis of economic inequality in rural and urban sub-saharan africa for macroeconomists

Reference 49

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This paper cites A computationally efficient physiologically comprehensive 3D-0D closed-loop model of the heart and circulation.

Predicting household socioeconomic position in Mozambique using satellite and household imagery A computationally efficient physiologically comprehensive 3D-0D closed-loop model of the heart and circulation

Reference 50

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Predicting household socioeconomic position in Mozambique using satellite and household imagery How transferable are features in deep neural networks? Advances in neural information processing systems, 27, 2014

Reference 51

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Predicting household socioeconomic position in Mozambique using satellite and household imagery Viirs night-time lights

Reference 52

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Predicting household socioeconomic position in Mozambique using satellite and household imagery Validity of rapid estimates of household wealth and income for health surveys in rural africa

Reference 53

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This paper cites A picture tells a thousand…exposures: Opportunities and challenges of deep learning image analyses in exposure science and environmental epidemiology.

Predicting household socioeconomic position in Mozambique using satellite and household imagery A picture tells a thousand…exposures: Opportunities and challenges of deep learning image analyses in exposure science and environmental epidemiology

Reference 54

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Observation b742d63e-1bd0-42b7-8048-44b3f8beaddd · outbound

This paper cites dos Santos, and Francisco Chiaravalloti-Neto.

Predicting household socioeconomic position in Mozambique using satellite and household imagery dos Santos, and Francisco Chiaravalloti-Neto

Reference 55

Resolution: verified exact; doi, observed 2026-08-12T21:36:42.986395Z

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