Yanfei Kang
Yanfei Kang
School of Economics and Management, Beihang University
E-mail confirmado em buaa.edu.cn - Página inicial
Citado por
Citado por
Visualising forecasting algorithm performance using time series instance spaces
Y Kang, RJ Hyndman, K Smith-Miles
International Journal of Forecasting 33 (2), 345-358, 2017
Probabilistic forecasting with temporal convolutional neural network
Y Chen, Y Kang, Y Chen, Z Wang
Neurocomputing 399, 491-501, 2020
tsfeatures: Time series feature extraction
R Hyndman, Y Kang, P Montero-Manso, T Talagala, E Wang, Y Yang, ...
R package version 1 (0), 2019
GRATIS: GeneRAting TIme Series with diverse and controllable characteristics
Y Kang, RJ Hyndman, F Li
Statistical Analysis and Data Mining: The ASA Data Science Journal 13 (4 …, 2020
Classes of structures in the stable atmospheric boundary layer
Y Kang, D Belušić, K Smith‐Miles
Quarterly Journal of the Royal Meteorological Society 141 (691), 2057-2069, 2015
Detecting and classifying events in noisy time series
Y Kang, D Belušić, K Smith-Miles
Journal of the Atmospheric Sciences 71 (3), 1090-1104, 2014
Forecasting with time series imaging
X Li, Y Kang, F Li
Expert Systems with Applications 160, 113680, 2020
Forecasting: theory and practice
F Petropoulos, D Apiletti, V Assimakopoulos, MZ Babai, DK Barrow, ...
arXiv preprint arXiv:2012.03854, 2020
Improving forecasting performance using covariate-dependent copula models
F Li, Y Kang
International Journal of Forecasting 34 (3), 456-476, 2018
Real-time change detection in time series based on growing feature quantization
Y Kang
The 2012 International Joint Conference on Neural Networks (IJCNN), 1-6, 2012
Improving the accuracy of global forecasting models using time series data augmentation
K Bandara, H Hewamalage, YH Liu, Y Kang, C Bergmeir
Pattern Recognition 120, 108148, 2021
FFORMPP: Feature-based forecast model performance prediction
TS Talagala, F Li, Y Kang
International Journal of Forecasting, 2021
TSfeatures: time series feature extraction. 1 (0)(2018)
RJ Hyndman, Y Kang, T Talagala, E Wang, Y Yang
Déjà vu: A data-centric forecasting approach through time series cross-similarity
Y Kang, E Spiliotis, F Petropoulos, N Athiniotis, F Li, V Assimakopoulos
Journal of Business Research 132, 719-731, 2021
The uncertainty estimation of feature-based forecast combinations
X Wang, Y Kang, F Petropoulos, F Li
Journal of the Operational Research Society, 1-15, 2021
How to extract meaningful shapes from noisy time-series subsequences?
Y Kang, K Smith-Miles, D Belušić
2013 IEEE Symposium on Computational Intelligence and Data Mining (CIDM), 65-72, 2013
A note on the relationship between turbulent coherent structures and phase correlation
Y Kang, D Belušić, K Smith-Miles
Chaos: An Interdisciplinary Journal of Nonlinear Science 24 (2), 023114, 2014
Distributed ARIMA models for ultra-long time series
X Wang, Y Kang, RJ Hyndman, F Li
arXiv preprint arXiv:2007.09577, 2020
Forecast with Forecasts: Diversity Matters
Y Kang, W Cao, F Petropoulos, F Li
European Journal of Operational Research, 2021
Exploring the representativeness of the M5 competition data
E Theodorou, S Wang, Y Kang, E Spiliotis, S Makridakis, ...
International Journal of Forecasting, 2021
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