Spatial Decision Support Systems with Automated Machine Learning: A Review
R Wen, S Li - ISPRS International Journal of Geo-Information, 2022 - mdpi.com
Many spatial decision support systems suffer from user adoption issues in practice due to
lack of trust, technical expertise, and resources. Automated machine learning has recently …
lack of trust, technical expertise, and resources. Automated machine learning has recently …
Lessons from an escalation prediction competition
Recent research on the forecasting of violence has mostly focused on predicting the
presence or absence of conflict in a given location, while much less attention has been paid …
presence or absence of conflict in a given location, while much less attention has been paid …
United they stand: Findings from an escalation prediction competition
This article presents results and lessons learned from a prediction competition organized by
ViEWS to improve collective scientific knowledge on forecasting (de-) escalation in Africa …
ViEWS to improve collective scientific knowledge on forecasting (de-) escalation in Africa …
Collective emotions, triggering events, and self-organization: The forest-fire model of cultural identity conflict escalation
Ethnic and religious conflicts frequently evolve into highly explosive situations marked by the
sudden eruption of conflictive mass behaviour in the form of leaderless protests or riots. In …
sudden eruption of conflictive mass behaviour in the form of leaderless protests or riots. In …
Conflict forecasting with event data and spatio-temporal graph convolutional networks
This paper explores three different model components to improve predictive performance
over the ViEWS benchmark: a class of neural networks that account for spatial and temporal …
over the ViEWS benchmark: a class of neural networks that account for spatial and temporal …
Machine Intelligence in Africa: a survey
In the last 5 years, the availability of large audio datasets in African countries has opened
unlimited opportunities to build machine intelligence (MI) technologies that are closer to the …
unlimited opportunities to build machine intelligence (MI) technologies that are closer to the …
[HTML][HTML] Spatiotemporal Prediction of Conflict Fatality Risk Using Convolutional Neural Networks and Satellite Imagery
As both satellite imagery and image-based machine learning methods continue to improve
and become more accessible, they are being utilized in an increasing number of sectors and …
and become more accessible, they are being utilized in an increasing number of sectors and …
Is media sentiment associated with future conflict events?
Is media sentiment a leading indicator of conflict events? Analysis through machine learning
and natural language processing techniques allows us to gather and process sentiment …
and natural language processing techniques allows us to gather and process sentiment …
[HTML][HTML] Prediction of spatial heterogeneity in nutrient-limited sub-tropical maize yield: Implications for precision management in the eastern Indo-Gangetic Plains
Abstract Knowledge of the factors influencing nutrient-limited subtropical maize yield and
subsequent prediction is crucial for effective nutrient management, maximizing profitability …
subsequent prediction is crucial for effective nutrient management, maximizing profitability …
High resolution conflict forecasting with spatial convolutions and long short-term memory
BJ Radford - International Interactions, 2022 - Taylor & Francis
Abstract The 2020 Violence Early Warning System (ViEWS) Prediction Competition
challenged participants to produce predictive models of violent political conflict at high …
challenged participants to produce predictive models of violent political conflict at high …