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An XAI-based meta-parameter tuning for time-series forecasting

Nakagawa, Hiroyuki et al.
OKAYAMA UNIVERSITY SCIENTIFIC ACHIEVEMENT REPOSITORY · Papers
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How can we efficiently determine meta-parameter values for deep learning-based time-series forecasting given a time-series dataset? This paper introduces Xtune, an efficient and novel meta-parameter tuning method for deep learning-based time-series forecasting, leveraging explainable AI techniques.
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