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Air quality prediction via hybrid BiGRU-MLP using binary ant colony optimization and firefly algorithm for hyperparameter tuning. [PDF]
Mahmoud AA +5 more
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Randomized trees for time series representation and similarity
Pattern Recognition, 2021Abstract Most of the temporal data mining tasks require representations to capture important characteristics of time series. Representation learning is challenging when time series differ in distributional characteristics and/or show irregularities such as varying lengths and missing observations.
Mustafa Gökçe Baydogan
exaly +2 more sources
A Dispersion-Based PAA Representation for Time Series
Time series data generation has exploded in almost every domain such as in business, industry, or medicine. The demand for analyzing efficiently the huge amount of this information necessitates the application of a representation on the purpose of reducing the intrinsically high dimensionality of time series.
Leonidas Karamitopoulos +1 more
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Kernel sparse representation for time series classification
Information Sciences, 2015zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Wangmeng Zuo, Qinghua Hu, Liang Lin
exaly +3 more sources

