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Lung cancer multimodal auxiliary diagnosis based on entropy weight decision fusion. [PDF]
Zhang H, Tang Y, Li P, Fan W, Chen X.
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Explainable AI for sentiment analysis of human metapneumovirus (HMPV) using XLNet. [PDF]
Apu MSH, Islam MS, Aurpa TT, Hasan S.
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Large language model empowered explainable and interpretable mental health analysis. [PDF]
Bajpai S +5 more
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VLN↻BERT: A Recurrent Vision-and-Language BERT for Navigation
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021Accuracy of many visiolinguistic tasks has benefited significantly from the application of vision-and-language (V&L) BERT. However, its application for the task of vision-and-language navigation (VLN) remains limited. One reason for this is the difficulty adapting the BERT architecture to the partially observable Markov decision process present in VLN,
Yicong Hong +4 more
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Proceedings of the 2008 international workshop on dynamic analysis: held in conjunction with the ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA 2008), 2008
During maintenance, it is common to run the new version of a program against its existing test suite to check whether the modifications in the program introduced unforeseen side effects. Although this kind of regression testing can be effective in identifying some change-related faults, it is limited by the quality of the existing test suite.
Alessandro Orso, Tao Xie 0001
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During maintenance, it is common to run the new version of a program against its existing test suite to check whether the modifications in the program introduced unforeseen side effects. Although this kind of regression testing can be effective in identifying some change-related faults, it is limited by the quality of the existing test suite.
Alessandro Orso, Tao Xie 0001
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An Improved Algorithm for Bert
Proceedings of the 2020 International Conference on Cyberspace Innovation of Advanced Technologies, 2020Natural language processing (NLP) has been widely applied in machine translation, speech recognition and other fields. Many elegant results have been proposed such as text classification, sentiment analysis. In recent years, the Bert model has made a great breakthrough in many NLP tasks.
Weiguo Wang, Zhaoquan Gu, Keke Tang
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