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Titlebook: Web Information Systems Engineering – WISE 2021; 22nd International C Wenjie Zhang,Lei Zou,Lu Chen Conference proceedings 2021 Springer Nat

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書目名稱Web Information Systems Engineering – WISE 2021
副標(biāo)題22nd International C
編輯Wenjie Zhang,Lei Zou,Lu Chen
視頻videohttp://file.papertrans.cn/1022/1021538/1021538.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Web Information Systems Engineering – WISE 2021; 22nd International C Wenjie Zhang,Lei Zou,Lu Chen Conference proceedings 2021 Springer Nat
描述This two-volume set constitutes the proceedings of the 22nd International Conference on Web Information Systems Engineering, WISE 2021, held in?Melbourne, VIC, Australia, in October 2021..The 55 full, 29 short and?5 demo papers, plus 2 tutorials?were carefully reviewed and selected from 229 submissions. The papers are organized in the following topical sections:.Part I: BlockChain and Crowdsourcing; Database System and Workflow; Data Mining and Applications; Knowledge Graph and Entity Linking; Graph Neural Network; Graph Query; Social Network; Spatial and Temporal Data Analysis..Part II:?Deep Learning (1),?Deep Learning (2),?Recommender Systems (1),?Recommender Systems (2),?Text Mining (1),?Text Mining (2),?Service Computing and Cloud Computing (1),?Service Computing and Cloud Computing (2), Tutorial and Demo..
出版日期Conference proceedings 2021
關(guān)鍵詞artificial intelligence; computational linguistics; computer networks; computer systems; computer vision
版次1
doihttps://doi.org/10.1007/978-3-030-91560-5
isbn_softcover978-3-030-91559-9
isbn_ebook978-3-030-91560-5Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2021
The information of publication is updating

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Interactive Pose Attention Network for?Human Pose Transferf the network comprises a sequence of interactive pose attention (IPA) blocks to transfer the attended regions regarding to intermedia poses progressively, and retain the texture details of the unattended regions for subsequent pose transfer. More specifically, we design an attention mechanism by in
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Efficient Feature Interactions Learning with Gated Attention Transformerlearn feature interactions (i.e., cross features) for building an accurate prediction model. Recently, several self-attention based transformer methods are proposed to learn feature interactions automatically. However, those approaches are hindered by two drawbacks. First, Learning high-order featur
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Interactive Pose Attention Network for?Human Pose Transferf the network comprises a sequence of interactive pose attention (IPA) blocks to transfer the attended regions regarding to intermedia poses progressively, and retain the texture details of the unattended regions for subsequent pose transfer. More specifically, we design an attention mechanism by in
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Performance Evaluation of Pre-trained Models in Sarcasm Detection Taskction plays an important role in many domains of semantic analysis, such as stance detection and sentiment analysis. Recently, pre-trained models (PTMs) on large unlabelled corpora have shown excellent performance in various tasks of NLP. PTMs have learned universal language representations and can
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Performance Evaluation of Pre-trained Models in Sarcasm Detection Taskction plays an important role in many domains of semantic analysis, such as stance detection and sentiment analysis. Recently, pre-trained models (PTMs) on large unlabelled corpora have shown excellent performance in various tasks of NLP. PTMs have learned universal language representations and can
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