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

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书目名称Databases Theory and Applications影响因子(影响力)




书目名称Databases Theory and Applications影响因子(影响力)学科排名




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书目名称Databases Theory and Applications网络公开度学科排名




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书目名称Databases Theory and Applications被引频次学科排名




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书目名称Databases Theory and Applications年度引用学科排名




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书目名称Databases Theory and Applications读者反馈学科排名

红润

NATAL

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

厚颜

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

TERRA

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, .

Flu表流动

Flu表流动

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

烦忧

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

Asperity

Delirium