| 1 |
@article{de200625,
title={25 years of time series forecasting},
author={De Gooijer, Jan G and Hyndman, Rob J},
journal={International journal of forecasting},
volume={22},
number={3},
pages={443--473},
year={2006},
publisher={Elsevier}
}
|
|
| 2 |
@article{mondal2014study,
title={Study of effectiveness of time series modeling (ARIMA) in forecasting stock prices},
author={Mondal, Prapanna and Shit, Labani and Goswami, Saptarsi},
journal={International Journal of Computer Science, Engineering and Applications},
volume={4},
number={2},
pages={13},
year={2014},
publisher={Citeseer}
}
|
|
| 3 |
@conference{iceis25,
author={Zairo Bastos and João David Freitas and José Wellington Franco and Carlos Caminha},
title={Prompt-Driven Time Series Forecasting with Large Language Models},
booktitle={Proceedings of the 27th International Conference on Enterprise Information Systems - Volume 1: ICEIS},
year={2025},
pages={309-316},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013363800003929},
isbn={978-989-758-749-8},
issn={2184-4992},
}
|
|
| 4 |
@article{gruver2023large,
title={Large language models are zero-shot time series forecasters},
author={Gruver, Nate and Finzi, Marc and Qiu, Shikai and Wilson, Andrew G},
journal={Advances in Neural Information Processing Systems},
volume={36},
pages={19622--19635},
year={2023}
}
|
|
| 5 |
@article{xue2023promptcast,
title={Promptcast: A new prompt-based learning paradigm for time series forecasting},
author={Xue, Hao and Salim, Flora D},
journal={IEEE Transactions on Knowledge and Data Engineering},
volume={36},
number={11},
pages={6851--6864},
year={2023},
publisher={IEEE}
}
|
|
| 6 |
@inproceedings{freitas2023impact,
title={The impact of window size on univariate time series forecasting using machine learning},
author={Freitas, Jo{\~a}o David and Ponte, Caio and Bomfim, Rafael and Caminha, Carlos},
booktitle={Symposium on Knowledge Discovery, Mining and Learning (KDMiLe)},
pages={65--72},
year={2023},
organization={SBC}
}
|
|
| 7 |
@article{wang2024visionllm,
title={Visionllm: Large language model is also an open-ended decoder for vision-centric tasks},
author={Wang, Wenhai and Chen, Zhe and Chen, Xiaokang and Wu, Jiannan and Zhu, Xizhou and Zeng, Gang and Luo, Ping and Lu, Tong and Zhou, Jie and Qiao, Yu and others},
journal={Advances in Neural Information Processing Systems},
volume={36},
year={2024}
}
|
|
| 8 |
@inproceedings{gu2023llm,
title={Llm-based code generation method for golang compiler testing},
author={Gu, Qiuhan},
booktitle={Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering},
pages={2201--2203},
year={2023}
}
|
|
| 9 |
@article{jin2023time,
title={Time-llm: Time series forecasting by reprogramming large language models},
author={Jin, Ming and Wang, Shiyu and Ma, Lintao and Chu, Zhixuan and Zhang, James Y and Shi, Xiaoming and Chen, Pin-Yu and Liang, Yuxuan and Li, Yuan-Fang and Pan, Shirui and others},
journal={arXiv preprint arXiv:2310.01728},
year={2023}
}
|
|
| 10 |
@book{hyndman2018forecasting,
title={Forecasting: principles and practice},
author={Hyndman, Rob J and Athanasopoulos, George},
year={2018},
publisher={OTexts}
}
|
|
| 11 |
@inproceedings{erbase,
author = {Jam Sávio da Conceição and Jadson Lúcio dos Santos and Rodolfo Cavalcante},
title = { Ferramenta para análise de séries temporais},
booktitle = {Anais da XX Escola Regional de Computação Bahia, Alagoas e Sergipe},
location = {Arapiraca-AL},
year = {2020},
keywords = {},
issn = {0000-0000},
pages = {272--281},
publisher = {SBC},
address = {Porto Alegre, RS, Brasil},
url = {https://sol.sbc.org.br/index.php/erbase/article/view/15489}
}
|
|
| 12 |
@article{herzen2022darts,
title={Darts: User-friendly modern machine learning for time series},
author={Herzen, Julien and L{\"a}ssig, Francesco and Piazzetta, Samuele Giuliano and Neuer, Thomas and Tafti, L{\'e}o and Raille, Guillaume and Van Pottelbergh, Tomas and Pasieka, Marek and Skrodzki, Andrzej and Huguenin, Nicolas and others},
journal={Journal of Machine Learning Research},
volume={23},
number={124},
pages={1--6},
year={2022}
}
|
|
| 13 |
@misc{garza2023timegpt1,
title={TimeGPT-1},
author={Azul Garza and Max Mergenthaler-Canseco},
year={2023},
eprint={2310.03589},
archivePrefix={arXiv},
primaryClass={cs.LG}
}
|
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