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- Part of MONSTER: <>.
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  ***MosquitoSound***, taken from the broader UCR archive, consists of 279,566 (univariate) time series, each of length 3,750, representing recordings of wingbeats for six different species of mosquito [1, 2]. The task is to identify the species of mosquito based on the recordings. This version of the dataset has been split into stratified random cross-validation folds.
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+ Part of MONSTER: <https://arxiv.org/abs/2502.15122>.
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  ***MosquitoSound***, taken from the broader UCR archive, consists of 279,566 (univariate) time series, each of length 3,750, representing recordings of wingbeats for six different species of mosquito [1, 2]. The task is to identify the species of mosquito based on the recordings. This version of the dataset has been split into stratified random cross-validation folds.
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