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ORCIDYanfei Kang
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2020 – today
- 2024
[j12]Shengjie Wang, Yanfei Kang
, Fotios Petropoulos:
Combining probabilistic forecasts of intermittent demand. Eur. J. Oper. Res. 315(3): 1038-1048 (2024)- [j11]Bohan Zhang, Anastasios Panagiotelis, Yanfei Kang:
Discrete forecast reconciliation. Eur. J. Oper. Res. 318(1): 143-153 (2024) - 2023
- [j10]Bohan Zhang, Yanfei Kang, Anastasios Panagiotelis, Feng Li:
Optimal reconciliation with immutable forecasts. Eur. J. Oper. Res. 308(2): 650-660 (2023) - [j9]Xixi Li, Fotios Petropoulos, Yanfei Kang:
Improving forecasting by subsampling seasonal time series. Int. J. Prod. Res. 61(3): 976-992 (2023) - [j8]Li Li, Yanfei Kang, Fotios Petropoulos, Feng Li:
Feature-based intermittent demand forecast combinations: accuracy and inventory implications. Int. J. Prod. Res. 61(22): 7557-7572 (2023) - [j7]Yun Bai, Ganglin Tian, Yanfei Kang, Suling Jia:
A hybrid ensemble method with negative correlation learning for regression. Mach. Learn. 112(10): 3881-3916 (2023) - [c4]Yinuo Ren, Feng Li, Yanfei Kang, Jue Wang:
Infinite forecast combinations based on Dirichlet process. ICDM (Workshops) 2023: 579-587 - [c3]Guanyu Zhang, Feng Li, Yanfei Kang:
Probabilistic Forecast Reconciliation with Kullback-Leibler Divergence Regularization. ICDM (Workshops) 2023: 601-607 - [i12]Li Li, Feng Li, Yanfei Kang:
Forecasting large collections of time series: feature-based methods. CoRR abs/2309.13807 (2023) - [i11]Guanyu Zhang, Feng Li, Yanfei Kang:
Probabilistic Forecast Reconciliation with Kullback-Leibler Divergence Regularization. CoRR abs/2311.12279 (2023) - [i10]Yinuo Ren, Feng Li, Yanfei Kang, Jue Wang:
Infinite forecast combinations based on Dirichlet process. CoRR abs/2311.12379 (2023) - 2022
- [j6]Yanfei Kang, Wei Cao, Fotios Petropoulos, Feng Li:
Forecast with forecasts: Diversity matters. Eur. J. Oper. Res. 301(1): 180-190 (2022) - [j5]Xiaoqian Wang, Yanfei Kang, Fotios Petropoulos, Feng Li:
The uncertainty estimation of feature-based forecast combinations. J. Oper. Res. Soc. 73(5): 979-993 (2022) - [i9]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:
Comparison and Evaluation of Methods for a Predict+Optimize Problem in Renewable Energy. CoRR abs/2212.10723 (2022) - 2021
- [j4]Kasun Bandara, Hansika Hewamalage, Yuan-Hao Liu, Yanfei Kang, Christoph Bergmeir:
Improving the accuracy of global forecasting models using time series data augmentation. Pattern Recognit. 120: 108148 (2021) - [i8]Xixi Li, Yun Bai, Yanfei Kang:
Exploring the social influence of Kaggle virtual community on the M5 competition. CoRR abs/2103.00501 (2021) - [i7]Evangelos Theodorou, Shengjie Wang, Yanfei Kang, Evangelos Spiliotis, Spyros Makridakis, Vassilios Assimakopoulos:
Exploring the representativeness of the M5 competition data. CoRR abs/2103.02941 (2021) - [i6]Yun Bai, Ganglin Tian, Yanfei Kang, Suling Jia:
Enhancing the Diversity of Predictions Combination by Negative Correlation Learning. CoRR abs/2104.02317 (2021) - 2020
- [j3]Xixi Li, Yanfei Kang, Feng Li:
Forecasting with time series imaging. Expert Syst. Appl. 160: 113680 (2020) - [j2]Yitian Chen, Yanfei Kang, Yixiong Chen, Zizhuo Wang:
Probabilistic forecasting with temporal convolutional neural network. Neurocomputing 399: 491-501 (2020) - [j1]Yanfei Kang, Rob J. Hyndman, Feng Li:
GRATIS: GeneRAting TIme Series with diverse and controllable characteristics. Stat. Anal. Data Min. 13(4): 354-376 (2020) - [i5]Kasun Bandara, Hansika Hewamalage, Yuan-Hao Liu, Yanfei Kang, Christoph Bergmeir:
Improving the Accuracy of Global Forecasting Models using Time Series Data Augmentation. CoRR abs/2008.02663 (2020) - [i4]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:
Forecasting: theory and practice. CoRR abs/2012.03854 (2020)
2010 – 2019
- 2019
- [i3]Yanfei Kang, Rob J. Hyndman, Feng Li:
GRATIS: GeneRAting TIme Series with diverse and controllable characteristics. CoRR abs/1903.02787 (2019) - [i2]Xixi Li, Yanfei Kang, Feng Li:
Forecasting with time series imaging. CoRR abs/1904.08064 (2019) - [i1]Yitian Chen, Yanfei Kang, Yixiong Chen, Zizhuo Wang:
Probabilistic Forecasting with Temporal Convolutional Neural Network. CoRR abs/1906.04397 (2019) - 2013
- [c2]Yanfei Kang, Kate Smith-Miles, Danijel Belusic:
How to extract meaningful shapes from noisy time-series subsequences? CIDM 2013: 65-72 - 2012
- [c1]Yanfei Kang:
Real-time change detection in time series based on growing feature quantization. IJCNN 2012: 1-6
Coauthor Index
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last updated on 2024-10-07 21:23 CEST by the dblp team
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