Using Syntactic Similarity to Shorten the Training Time of Deep Learning Models using Time Series Datasets: A Case Study - researchr publication authors

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Silvestre Malta, Pedro Pinto, Manuel Fernández-Veiga. Using Syntactic Similarity to Shorten the Training Time of Deep Learning Models using Time Series Datasets: A Case Study. In Ana L. N. Fred, Carlo Sansone, Kurosh Madani, editors, Proceedings of the 2nd International Conference on Deep Learning Theory and Applications, DeLTA 2021, Online Streaming, July 7-9, 2021. pages 93-100, SCITEPRESS, 2021. [doi]

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