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- 2024
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Mark
A decade of maize yield gap studies in sub-Saharan Africa: how are farm-level factors considered?
(
- Contribution to journal › Article
- 2023
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Mark
A review of machine learning and satellite imagery for poverty prediction: Implications for development research and applications
(
- Contribution to journal › Scientific review
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Mark
Models for Non-Modelers : Understanding the Use of Models for Social Scientists and Others
2023)(
- Book/Report › Book
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Mark
Towards Explaining Satellite Based Poverty Predictions with Convolutional Neural Networks
2023) 10th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2023 In 2023 IEEE 10th International Conference on Data Science and Advanced Analytics, DSAA 2023 - Proceedings(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
How AI ‘sees’ the world – what happened when we trained a deep learning model to identify poverty
2023) In The Conversation(
- Contribution to specialist publication or newspaper › Specialist publication article
- 2022
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Mark
The geography of connectivity : a review of mobile positioning data for economic geography
(
- Contribution to journal › Scientific review
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Mark
"The maize is the cost of the farming, and cassava is our profit": Smallholders' perceptions and attitudes to poor crop patches in the Eastern region of Ghana
(
- Contribution to journal › Article
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Mark
A review of explainable AI in the satellite data, deep machine learning, and human poverty domain
(
- Contribution to journal › Scientific review
- 2021
-
Mark
The use of drones in the spatial social sciences
(
- Contribution to journal › Article
- 2020
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Mark
A pixel level evaluation of five multitemporal global gridded population datasets : a case study in Sweden, 1990–2015
(
- Contribution to journal › Scientific review