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- 2025
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Mark
A perspective on the interpretability of poverty maps derived from Earth Observation
- Contribution to journal › Scientific review
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Mark
Enhancing carbon emission reduction strategies using OCO and ICOS data
- Contribution to journal › Article
- 2024
-
Mark
A decade of maize yield gap studies in sub-Saharan Africa: how are farm-level factors considered?
- Contribution to journal › Article
-
Mark
Human bias and CNNs’ superior insights in satellite based poverty mapping
- Contribution to journal › Article
- 2023
-
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
-
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
Models for Non-Modelers : Understanding the Use of Models for Social Scientists and Others
(2023)
- Book/Report › Book
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Mark
Data för identifiering av samhällsviktig verksamhet på nationell nivå vid extrem nederbörd och skyfall
(2023)
- Book/Report › Report
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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
- 2022
-
Mark
A review of explainable AI in the satellite data, deep machine learning, and human poverty domain
- Contribution to journal › Scientific review
