Yanfei Kang

Orcid: 0000-0001-8769-6650

According to our database1, Yanfei Kang authored at least 22 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2024
Discrete forecast reconciliation.
Eur. J. Oper. Res., 2024

Combining probabilistic forecasts of intermittent demand.
Eur. J. Oper. Res., 2024

2023
Feature-based intermittent demand forecast combinations: accuracy and inventory implications.
Int. J. Prod. Res., November, 2023

A hybrid ensemble method with negative correlation learning for regression.
Mach. Learn., October, 2023

Optimal reconciliation with immutable forecasts.
Eur. J. Oper. Res., July, 2023

Improving forecasting by subsampling seasonal time series.
Int. J. Prod. Res., February, 2023

Forecasting large collections of time series: feature-based methods.
CoRR, 2023

Probabilistic Forecast Reconciliation with Kullback-Leibler Divergence Regularization.
Proceedings of the IEEE International Conference on Data Mining, 2023

Infinite forecast combinations based on Dirichlet process.
Proceedings of the IEEE International Conference on Data Mining, 2023

2022
The uncertainty estimation of feature-based forecast combinations.
J. Oper. Res. Soc., 2022

Forecast with forecasts: Diversity matters.
Eur. J. Oper. Res., 2022

Comparison and Evaluation of Methods for a Predict+Optimize Problem in Renewable Energy.
CoRR, 2022

2021
Improving the accuracy of global forecasting models using time series data augmentation.
Pattern Recognit., 2021

Enhancing the Diversity of Predictions Combination by Negative Correlation Learning.
CoRR, 2021

Exploring the representativeness of the M5 competition data.
CoRR, 2021

Exploring the social influence of Kaggle virtual community on the M5 competition.
CoRR, 2021

2020
GRATIS: GeneRAting TIme Series with diverse and controllable characteristics.
Stat. Anal. Data Min., 2020

Probabilistic forecasting with temporal convolutional neural network.
Neurocomputing, 2020

Forecasting with time series imaging.
Expert Syst. Appl., 2020

Forecasting: theory and practice.
CoRR, 2020

2013
How to extract meaningful shapes from noisy time-series subsequences?
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2013

2012
Real-time change detection in time series based on growing feature quantization.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012


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