Yanfei Kang

According to our database, Yanfei Kang authored at least 21 papers between 2012 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Feature-based intermittent demand forecast combinations: accuracy and inventory implications.

Li Li, Yanfei Kang, Fotios Petropoulos, Feng Li

Int. J. Prod. Res., November, 2023

A hybrid ensemble method with negative correlation learning for regression.

Yun Bai, Ganglin Tian, Yanfei Kang, Suling Jia

Mach. Learn., October, 2023

Optimal reconciliation with immutable forecasts.

Bohan Zhang, Yanfei Kang, Anastasios Panagiotelis, Feng Li

Eur. J. Oper. Res., July, 2023

Improving forecasting by subsampling seasonal time series.

Xixi Li, Fotios Petropoulos, Yanfei Kang

Int. J. Prod. Res., February, 2023

Probabilistic Forecast Reconciliation with Kullback-Leibler Divergence Regularization.

Guanyu Zhang, Feng Li, Yanfei Kang

CoRR, 2023

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

Li Li, Feng Li, Yanfei Kang

CoRR, 2023

Probabilistic Forecast Reconciliation with Kullback-Leibler Divergence Regularization.

Guanyu Zhang, Feng Li, Yanfei Kang

Proceedings of the IEEE International Conference on Data Mining, 2023

Infinite forecast combinations based on Dirichlet process.

Yinuo Ren, Feng Li, Yanfei Kang, Jue Wang

Proceedings of the IEEE International Conference on Data Mining, 2023

2022

The uncertainty estimation of feature-based forecast combinations.

Xiaoqian Wang, Yanfei Kang, Fotios Petropoulos, Feng Li

J. Oper. Res. Soc., 2022

Forecast with forecasts: Diversity matters.

Yanfei Kang, Wei Cao, Fotios Petropoulos, Feng Li

Eur. J. Oper. Res., 2022

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

Christoph Bergmeir, Frits de Nijs, Abishek Sriramulu, Mahdi Abolghasemi, Richard Bean, John M. Betts, Quang Bui, Nam Trong Dinh, Nils Einecke, Rasul Esmaeilbeigi, Scott Ferraro, Priya Galketiya, Evgenii Genov, Robert Glasgow, Rakshitha Godahewa, Yanfei Kang, Steffen Limmer, Luis Magdalena, Pablo Montero-Manso, Daniel Peralta, Yogesh Pipada Sunil Kumar, Alejandro Rosales-Pérez, Julian Ruddick, Akylas C. Stratigakos, Peter J. Stuckey, Guido Tack, Isaac Triguero, Rui Yuan

CoRR, 2022

2021

Improving the accuracy of global forecasting models using time series data augmentation.

Kasun Bandara, Hansika Hewamalage, Yuan-Hao Liu, Yanfei Kang, Christoph Bergmeir

Pattern Recognit., 2021

Enhancing the Diversity of Predictions Combination by Negative Correlation Learning.

Yun Bai, Ganglin Tian, Yanfei Kang, Suling Jia

CoRR, 2021

Exploring the representativeness of the M5 competition data.

Evangelos Theodorou, Shengjie Wang, Yanfei Kang, Evangelos Spiliotis, Spyros Makridakis, Vassilios Assimakopoulos

CoRR, 2021

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

Xixi Li, Yun Bai, Yanfei Kang

CoRR, 2021

2020

GRATIS: GeneRAting TIme Series with diverse and controllable characteristics.

Yanfei Kang, Rob J. Hyndman, Feng Li

Stat. Anal. Data Min., 2020

Probabilistic forecasting with temporal convolutional neural network.

Yitian Chen, Yanfei Kang, Yixiong Chen, Zizhuo Wang

Neurocomputing, 2020

Forecasting with time series imaging.

Xixi Li, Yanfei Kang, Feng Li

Expert Syst. Appl., 2020

Forecasting: theory and practice.

Fotios Petropoulos, Daniele Apiletti, Vassilios Assimakopoulos, Mohamed Zied Babai, Devon K. Barrow, Souhaib Ben Taieb, Christoph Bergmeir, Ricardo J. Bessa, Jakub Bijak, John E. Boylan, Jethro Browell, Claudio Carnevale, Jennifer L. Castle, Pasquale Cirillo, Michael P. Clements, Clara Cordeiro, Fernando Luiz Cyrino Oliveira, Shari De Baets, Alexander Dokumentov, Joanne Ellison, Piotr Fiszeder, Philip Hans Franses, David T. Frazier, Michael Gilliland, Mustafa Sinan Gönül, Paul Goodwin, Luigi Grossi, Yael Grushka-Cockayne, Mariangela Guidolin, Massimo Guidolin, Ulrich Gunter, Xiaojia Guo, Renato Guseo, Nigel Harvey, David F. Hendry, Ross Hollyman, Tim Januschowski, Jooyoung Jeon, Victor Richmond R. Jose, Yanfei Kang, Anne B. Koehler, Stephan Kolassa, Nikolaos Kourentzes, Sonia Leva, Feng Li

CoRR, 2020

2013

How to extract meaningful shapes from noisy time-series subsequences?

Yanfei Kang, Kate Smith-Miles, Danijel Belusic

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.

Yanfei Kang

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012