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- W2227677923 abstract "Quantification is the task of estimating the class-distribution of a data-set. While typically considered as a parameter estimation problem with strict assumptions on the data-set shift, we consider quantification in-the-wild, on two large scale data-sets from marine ecology: a survey of Caribbean coral reefs, and a plankton time series from Martha's Vineyard Coastal Observatory. We investigate several quantification methods from the literature and indicate opportunities for future work. In particular, we show that a deep neural network can be fine-tuned on a very limited amount of data (25 - 100 samples) to outperform alternative methods." @default.
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- W2227677923 date "2015-10-16" @default.
- W2227677923 modified "2023-10-15" @default.
- W2227677923 title "Quantification in-the-wild: data-sets and baselines" @default.
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