Int J Performability Eng ›› 2022, Vol. 18 ›› Issue (12): 833-843.doi: 10.23940/ijpe.22.12.p1.833843
Guilan Daia,*, Jie Zhangb, and Xu Hanb
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Accepted on
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* E-mail address: daigl@tsinghua.edu.cn
About author:
Guilan Dai is an assistant research fellow with the Department of Computer Science and Technology, Tsinghua University, China. Her main research interests include data mining, computer network, software engineering and software test. Guilan Dai, Jie Zhang, and Xu Han. A Novel Attention-Based BiLSTM-CNN Model in Valence-Arousal Space [J]. Int J Performability Eng, 2022, 18(12): 833-843.
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