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04/06/2021
Enhancing the Diversity of Predictions Combination by Negative Correlation Learning
Predictions combination, as a combination model approach with adjustment...
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03/04/2021
Exploring the representativeness of the M5 competition data
The main objective of the M5 competition, which focused on forecasting t...
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02/28/2021
Exploring the social influence of Kaggle virtual community on the M5 competition
One of the most significant differences of M5 over previous forecasting ...
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01/04/2021
Improving forecasting with sub-seasonal time series patterns
Time series forecasting plays an increasingly important role in modern b...
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08/06/2020
Improving the Accuracy of Global Forecasting Models using Time Series Data Augmentation
Forecasting models that are trained across sets of many time series, kno...
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08/31/2019
Déjà vu: forecasting with similarity
Accurate forecasts are vital for supporting the decisions of modern comp...
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08/30/2019
FFORMPP: Feature-based forecast model performance prediction
This paper introduces a novel meta-learning algorithm for time series fo...
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08/08/2019
Que será será? The uncertainty estimation of feature-based time series forecasts
Interval forecasts have significant advantages in providing uncertainty ...
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06/11/2019
Probabilistic Forecasting with Temporal Convolutional Neural Network
We present a probabilistic forecasting framework based on convolutional ...
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04/17/2019
Forecasting with time series imaging
Feature-based time series representation has attracted substantial atten...
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03/07/2019
