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Titlebook: Databases Theory and Applications; 34th Australasian Da Zhifeng Bao,Renata Borovica-Gajic,Zhengyi Yang Conference proceedings 2024 The Edit

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書(shū)目名稱Databases Theory and Applications
副標(biāo)題34th Australasian Da
編輯Zhifeng Bao,Renata Borovica-Gajic,Zhengyi Yang
視頻videohttp://file.papertrans.cn/264/263525/263525.mp4
叢書(shū)名稱Lecture Notes in Computer Science
圖書(shū)封面Titlebook: Databases Theory and Applications; 34th Australasian Da Zhifeng Bao,Renata Borovica-Gajic,Zhengyi Yang Conference proceedings 2024 The Edit
描述.This book constitutes the refereed proceedings of the 34th Australasian Database Conference on Databases Theory and Applications, ADC 2023, held in Melbourne, VIC, Australia, during November 1-3, 2023...The 26 full papers presented in this volume are carefully reviewed and selected from 41 submissions. They were organized in topical sections named:?Mining Complex Types of Data,?Natural Language Processing and Text Analysis,?Machine Learning and Computer Vision,?Database Systems and Data Storage,?Data Quality and Fairness for Graphs and Graph Mining and Graph Algorithms..
出版日期Conference proceedings 2024
關(guān)鍵詞artificial intelligence; communication systems; data mining; education; graph theory
版次1
doihttps://doi.org/10.1007/978-3-031-47843-7
isbn_softcover978-3-031-47842-0
isbn_ebook978-3-031-47843-7Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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Michalis Hadjiandreou,Georgios Pafitaniswe propose a multi-task learning framework to jointly optimize the rating prediction task and the explanation generation task, which improves the recommendation quality in a mutual promotion manner. The experiments demonstrate the effectiveness and efficiency of our proposed model compared to the ba
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Dong Hwa Heo,Don Young Park,Young Ho Hongerly. In light of the above discussion, in this paper, a novel ALEX framework is proposed for social media analysis on public health. Specifically, an augmentation pipeline is developed to resolve the data imbalance issue. Furthermore, an LLMs explanation mechanism is proposed by prompting an LLM wi
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Yong Ahn,Jin-Kyu Park,Chun-Kun Parkn input length limit shorter than the case, the whole case text needs to be truncated or divided into paragraphs, which leads to the loss of the global context of legal information. In this paper, a novel legal case retrieval framework, PromptCase, is proposed to tackle these challenges. Firstly, .
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https://doi.org/10.1007/978-3-642-83437-0tion points. The fixation points are then connected, with the weights of the connections defined by the cylindrical distance and the primary visual feature of the original image. Based on the network composed of fully connected fixation points, the scanpath prediction model is converted to a routing
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Yasutaka Kuwahara,Hiromi Yamashitaocess. Secondly, we asynchronously offload the optimizer state data with a specified ratio to the HDD, which can further optimize CPU memory usage. We conduct experiments on the large pre-trained model GPT-2 to verify the effectiveness of our method, and the results indicate that the multi-level sto
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