Category: News
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The forecasting with time series imaging paper is accepted in Expert Systems with Applications
Our foresting paper with time series imaging approach is accepted in Expert Systems with Applications. Xixi Li, Yanfei Kang, and Feng Li*. (2020). Forecasting with time series imaging, Expert Systems with Applications. (In Press) [Working Paper | Software] Feature-based time series representations have attracted substantial attention in a wide range of time series analysis methods. Recently, the use of…
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The GRATIS paper is accepted in Statistical Analysis and Data Mining
Our GRATIS paper for GeneRAting TIme Series with diverse and controllable characteristics is accepted in the ASA data science journal: Statistical Analysis and Data Mining. Yanfei Kang, Rob J Hyndman, and Feng Li*. (2020). GRATIS: GeneRAting TIme Series with diverse and controllable characteristics, Statistical Analysis and Data Mining. (In Press) [Journal version | Working Paper | R Package | Web App] The explosion…
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The DeepTCN paper is accepted in Neurocomputing
The DeepTCN paper is accepted in Neurocomputing. Yitian Chen, Yanfei Kang, Yixiong Chen and Zizhuo Wang. (2020). Probabilistic Forecasting with Temporal Convolutional Neural Network. Neurocomputing 399C (2020) pp. 491-501. [ Online | Working Paper | Software] We present a probabilistic forecasting framework based on convolutional neural network (CNN) for multiple related time series forecasting. The framework can be…
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We have a lab now!
We are so excited to announce that Yanfei and Feng’s group now has an official lab, named KLLAB (pronounced as [col·lab], meaning collaborating) and a website KLLAB.org. Have fun!