Investigating the accuracy of cross-learning time series forecasting methods

2020/12/31 by Artemios-Anargyros Semenoglou, Evangelos Spiliotis, Spyros Makridakis +1 · 2 citations
Computer Science · Decision Sciences · #Forecasting Techniques and Applications #Stock Market Forecasting Methods #Time Series Analysis and Forecasting

paper · doi:10.1016/j.ijforecast.2020.11.009

openalex publication_date 2020/12/31 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/29

Citations

• Clustering of time series data—a survey
• Visualising forecasting algorithm performance using time series instance spaces
• Deep learning with long short-term memory networks for financial market predictions
• The M4 Competition: Results, findings, conclusion and way forward
• A hybrid method of exponential smoothing and recurrent neural networks for time series forecasting
• N-BEATS: Neural basis expansion analysis for interpretable time series forecasting
• Forecasting the novel coronavirus COVID-19

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