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

GENUS

Prompt-Based Effective Input Reformulation for?Legal Case Retrievalegal case retrieval models directly encode the whole legal text of a case to generate a case representation, which is then utilised to conduct a nearest neighbour search for retrieval. Although these straightforward methods have achieved improvement over conventional statistical methods in retrieval

斑駁

鋪子

同謀

SMST: A Saliency Map to Scanpath Transformermnidirectional characteristic. However, only a few scanpath prediction models have been proposed, compared with the blossoming of saliency map prediction models. Focusing on scanpath prediction in the omnidirectional image area, this paper introduces a novel model that transforms the predicted salie

Arthr-

Multi-level Storage Optimization for?Intermediate Data in?AI Model Training increase of model scale. Although the development of various parallel training techniques enables models to be trained on multiple GPUs, it still requires high costs that most researchers cannot afford. The increase of the hardware threshold for AI model training has affected the application of dee

Nefarious

Enhancing Night-to-Day Image Translation with?Semantic Prior and?Reference Image Guidancem domains with scarce information to domains with abundant information due to the degradation of visibility and the loss of semantic information. To improve the quality of night-to-day translation further, we propose a novel image translation method named “RefN2D-Guide GAN” that utilizes reference i

愛哭

antiandrogen

Health Status Assessment for?HDDs Based on?Bi-LSTM and?N-Dimensional Similarity Metricon Self-Monitoring Analysis and Reporting Technology (SMART) attributes. Predicting hard drive health using SMART attributes, as proposed by previous methods, is effective for adopting different passive fault tolerance mechanisms in advance. Despite the effectiveness of these methods, there are stil

esthetician

Why Query Plans Are Different: An Automatic Detection and Inference Systemons. The former is proposed for database users to avoid a sub-optimal plan on a production system while the second tries to evaluate the optimizer before releasing a new version. However, both of them are uninformed for optimizer developers to quickly find the reason why a sub-optimal plan is genera

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