Cao, Rui
Zeng, Qingtian
Ni, Weijian
Duan, Hua
Liu, Cong
Lu, Faming
Zhao, Ziqi
Funding for this research was provided by:
National Natural Science Foundation of China (No.U1931207)
National Natural Science Foundation of China (No.61702306)
Sci. & Tech. Development Fund of Shandong Province of China (No.ZR2017BF015)
Sci. & Tech. Development Fund of Shandong Province of China (No.ZR2017MF027)
Humanities and Social Science Research Project of the Ministry of Education (No.18YJAZH017)
Shandong Chongqing Science and technology cooperation project (No.cstc2020jscx-lyjsAX0008)
Sci. & Tech. Development Fund of Qingdao (No.21-1-5-zlyj-1-zc)
Taishan Scholar Program of Shandong Province, SDUST Research Fund (No.2015TDJH102)
Taishan Scholar Program of Shandong Province, SDUST Research Fund (No.2019KJN024)
National Statistical Science Research Project in 2019 (No.2019LY49)
Article History
Accepted: 18 September 2022
First Online: 7 October 2022
Declarations
:
: We declare that we have no financial and personal relationships with other people or organizations that can inappropriately influence our work, there is no professional or other personal interest of any nature or kind in any product, service and/or company that could be construed as influencing the position presented in, or the review of, the manuscript entitled “Business process remaining time prediction using explainable reachability graph from gated RNNs”.