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State of Time Series Classification | Report | ScienceToStartup

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Time Series Classification

State of Time Series Classification

4 papers · avg viability 5.5

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Top papers

MIHT: A Hoeffding Tree for Time Series Classification using Multiple Instance Learning(7.0)
InstructTime++: Time Series Classification with Multimodal Language Modeling via Implicit Feature Enhancement(7.0)
MantisV2: Closing the Zero-Shot Gap in Time Series Classification with Synthetic Data and Test-Time Strategies(4.0)
UTICA: Multi-Objective Self-Distllation Foundation Model Pretraining for Time Series Classification(4.0)