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Found 2 papers, 2 papers with code
XTSC-Bench: Quantitative Benchmarking for Explainers on Time Series Classification
Despite the growing body of work on explainable machine learning in time series classification (TSC), it remains unclear how to evaluate different explainability methods.
TSInterpret: A unified framework for time series interpretability
With the increasing application of deep learning algorithms to time series classification, especially in high-stake scenarios, the relevance of interpreting those algorithms becomes key.
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