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]
@inproceedings{MaltaPF21,
title = {Using Syntactic Similarity to Shorten the Training Time of Deep Learning Models using Time Series Datasets: A Case Study},
author = {Silvestre Malta and Pedro Pinto and Manuel Fernández-Veiga},
year = {2021},
doi = {10.5220/0010515700930100},
url = {https://doi.org/10.5220/0010515700930100},
researchr = {https://researchr.org/publication/MaltaPF21},
cites = {0},
citedby = {0},
pages = {93-100},
booktitle = {Proceedings of the 2nd International Conference on Deep Learning Theory and Applications, DeLTA 2021, Online Streaming, July 7-9, 2021},
editor = {Ana L. N. Fred and Carlo Sansone and Kurosh Madani},
publisher = {SCITEPRESS},
isbn = {978-989-758-526-5},
}