Rebecca Salles, Laura Assis, Gustavo Paiva Guedes, Eduardo Bezerra, Fábio Porto, Eduardo S. Ogasawara. A framework for benchmarking machine learning methods using linear models for univariate time series prediction. In 2017 International Joint Conference on Neural Networks, IJCNN 2017, Anchorage, AK, USA, May 14-19, 2017. pages 2338-2345, IEEE, 2017. [doi]
@inproceedings{SallesAGBPO17,
title = {A framework for benchmarking machine learning methods using linear models for univariate time series prediction},
author = {Rebecca Salles and Laura Assis and Gustavo Paiva Guedes and Eduardo Bezerra and Fábio Porto and Eduardo S. Ogasawara},
year = {2017},
doi = {10.1109/IJCNN.2017.7966139},
url = {https://doi.org/10.1109/IJCNN.2017.7966139},
researchr = {https://researchr.org/publication/SallesAGBPO17},
cites = {0},
citedby = {0},
pages = {2338-2345},
booktitle = {2017 International Joint Conference on Neural Networks, IJCNN 2017, Anchorage, AK, USA, May 14-19, 2017},
publisher = {IEEE},
isbn = {978-1-5090-6182-2},
}