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Salles R, Pacitti E, Bezerra E, Porto F, Ogasawara E (2022). “TSPred: A framework for nonstationary time series prediction.” Neurocomputing, 467, 197–202.
Salles R, Assis L, Guedes G, Bezerra E, Porto F, Ogasawara E (2017). “A Framework for Benchmarking Machine Learning Methods Using Linear Models for Univariate Time Series Prediction.” In The 2017 International Joint Conference on Neural Networks (IJCNN).
Salles RP, Ogasawara E (2025). TSPred: Functions for Baseline-Based Time Series Prediction. R package version 5.1.1, https://CRAN.R-project.org/package=TSPred.
Corresponding BibTeX entries:
@Article{TSPredNeurocomputing, title = {TSPred: A framework for nonstationary time series prediction}, author = {Rebecca Salles and Esther Pacitti and Eduardo Bezerra and Fabio Porto and Eduardo Ogasawara}, journal = {Neurocomputing}, year = {2022}, volume = {467}, pages = {197--202}, publisher = {Elsevier}, }
@InProceedings{TSPredIJCNN, title = {A Framework for Benchmarking Machine Learning Methods Using Linear Models for Univariate Time Series Prediction}, author = {Rebecca Salles and Laura Assis and Gustavo Guedes and Eduardo Bezerra and Fabio Porto and Eduardo Ogasawara}, booktitle = {The 2017 International Joint Conference on Neural Networks ({IJCNN})}, year = {2017}, }
@Manual{TSPred, title = {{TSPred}: Functions for Baseline-Based Time Series Prediction}, author = {Rebecca Pontes Salles and Eduardo Ogasawara}, year = {2025}, note = {R package version 5.1.1}, url = {https://CRAN.R-project.org/package=TSPred}, }
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