Insights Into LSTM Fully Convolutional Networks for Time Series Classification
Fazle Karim; Somshubra Majumdar; Houshang Darabi · 2019 · IEEE Access
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract (excerpt)
Long short-term memory fully convolutional neural networks (LSTM-FCNs) and Attention LSTM-FCN (ALSTM-FCN) have shown to achieve the state-of-the-art performance on the task of classifying time series signals on the old University of…
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Metadata source: OpenAlex · DOI 10.1109/access.2019.2916828