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- W2576614005 abstract "We present and evaluate two different methods for building spatio-temporal features: a propositional method and a method based on propositionalisation of relational clauses. Our motivating application, a regression problem, requires the prediction of the fraction of each Portuguese parish burnt yearly by wildfires – a problem with a strong socio-economic and environmental impact in the country. We evaluate and compare how these methods perform individually and combined together. We successfully use under-sampling to deal with the high skew in the data set. We find that combining the approaches significantly improves the similar results obtained by each method individually." @default.
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- W2576614005 date "2016-01-01" @default.
- W2576614005 modified "2023-09-26" @default.
- W2576614005 title "Predicting Wildfires" @default.
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- W2576614005 doi "https://doi.org/10.1007/978-3-319-46307-0_12" @default.
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