DeepTSF: Codeless machine learning operations for time series forecasting-Reference-Cited by-同舟云学术

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DeepTSF: Codeless machine learning operations for time series forecasting

Published:2024-09 Issue: Volume:27 Page:101758
ISSN:2352-7110
Container-title:SoftwareX
language:en
Short-container-title:SoftwareX

Author:

Pelekis Sotiris^ORCID,Pountridis Theodosios,Kormpakis Georgios,Lampropoulos George,Karakolis Evangelos,Mouzakitis Spiros,Askounis Dimitris

Funder

Horizon 2020

European Commission

Horizon 2020 Framework Programme

Publisher

Elsevier BV

Reference48 articles.

1. Trend analysis of climate time series: A review of methods;Mudelsee;Earth-Sci Rev,2019

2. Editorial: Special issue on time series analysis in the biological sciences;Stoffer;J Time Series Anal,2012

3. High-performance medicine: the convergence of human and artificial intelligence;Topol;Nature Med,2019

4. Product sales probabilistic forecasting: An empirical evaluation using the M5 competition data;Spiliotis;Int J Prod Econ,2021

5. Financial time series forecasting with deep learning : A systematic literature review: 2005–2019;Sezer;Appl Soft Comput,2020

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Beyond Words: Adapting NLP Methodologies for Time Series Forecasting Challenges;2023 4th International Conference on Intelligent Technologies (CONIT);2024-06-21

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