Making Time Series Embeddings More Interpretable in Deep Learning - Extracting Higher-Level Features via Symbolic Approximation Representations

Leonid Schwenke, Martin Atzmueller. Making Time Series Embeddings More Interpretable in Deep Learning - Extracting Higher-Level Features via Symbolic Approximation Representations. In Michael Franklin, Soon Ae Chun, editors, Proceedings of the Thirty-Sixth International Florida Artificial Intelligence Research Society Conference, FLAIRS 2023, Clearwater Beach, FL, USA, May 14-17, 2023. AAAI Press, 2023. [doi]

Abstract

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