Browse by UCL people
Group by: Type | Date
Number of items: 6.
Article
Novitasari, Maria Carolina;
Quaas, Johannes;
Rodrigues, Miguel RD;
(2024)
Cloudy with a chance of precision: satellite’s autoconversion rates forecasting powered by machine learning.
Environmental Data Science
, 3
, Article e23. 10.1017/eds.2024.24.
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Proceedings paper
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Novitasari, Maria;
Quaas, Johannes;
Rodrigues, Miguel;
(2024)
ALAS: Active Learning for Autoconversion Rates Prediction from Satellite Data.
In:
Proceedings of The 27th International Conference on Artificial Intelligence and Statistics.
(pp. pp. 3358-3366).
Proceedings of Machine Learning Research (PMLR)
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Novitasari, Maria;
Quaas, Johannes;
Rodrigues, Miguel;
(2021)
Leveraging Machine Learning to Predict the Autoconversion Rates from Satellite Data.
In:
Proceedings of the Tackling Climate Change with Machine Learning: workshop at NeurIPS 2021.
NeurIPS
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Novitasari, Maria Carolina;
Quaas, Johannes;
Rodrigues, Miguel;
(2023)
ALAS: Active Learning for Autoconversion Rates Prediction from Satellite Data.
In:
NeurIPS 2023 Workshop: Tackling Climate Change with Machine Learning.
Climate Change AI: New Orleans, USA.
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Novitasari, Maria Carolina;
Quaas, Johannes;
Rodrigues, Miguel;
(2023)
Unleashing the Autoconversion Rates Forecasting: Evidential Regression from Satellite Data.
In:
Proceedings of the NeurIPS 2023 Workshop on Tackling Climate Change with Machine Learning: Blending New and Existing Knowledge Systems.
(pp. pp. 1-12).
NeurIPS
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Thesis
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Novitasari, Maria Carolina;
(2025)
Cloudy with a Chance of Precision Series: Satellite's Autoconversion Rates Forecasting Powered by Machine Learning.
Doctoral thesis (Ph.D), UCL (University College London).
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