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

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書目名稱Databases Theory and Applications影響因子(影響力)




書目名稱Databases Theory and Applications影響因子(影響力)學科排名




書目名稱Databases Theory and Applications網(wǎng)絡公開度




書目名稱Databases Theory and Applications網(wǎng)絡公開度學科排名




書目名稱Databases Theory and Applications被引頻次




書目名稱Databases Theory and Applications被引頻次學科排名




書目名稱Databases Theory and Applications年度引用




書目名稱Databases Theory and Applications年度引用學科排名




書目名稱Databases Theory and Applications讀者反饋




書目名稱Databases Theory and Applications讀者反饋學科排名

紅潤

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

厚顏

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表流動

Flu表流動

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

煩憂

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