MTLFormer: Multi-Task Learning Guided Transformer Network for Business Process Prediction-Reference-Cited by-同舟云学术

MTLFormer: Multi-Task Learning Guided Transformer Network for Business Process Prediction

Author:

Wang Jiaojiao¹^ORCID,Huang Jiawei²,Ma Xiaoyu¹^ORCID,Li Zhongjin³^ORCID,Wang Yaqi²^ORCID,Yu Dingguo¹

Affiliation:

1. Institute of Intelligent Media Technology, Communication University of Zhejiang, Hangzhou, China

2. College of Media Engineering, Communication University of Zhejiang, Hangzhou, China

3. School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, China

Funder

National Natural Science Foundation of China

Key Science and Technology Project of Zhejiang Province

National Natural Science Foundation of Zhejiang Province, China

Public Welfare Technology Application Research Project of Zhejiang Province, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

Reference44 articles.

3. An overview of multi-task learning in deep neural networks;ruder;ArXiv 1706 05098,2017

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