標題: Titlebook: Databases Theory and Applications; 34th Australasian Da Zhifeng Bao,Renata Borovica-Gajic,Zhengyi Yang Conference proceedings 2024 The Edit [打印本頁] 作者: Opiate 時間: 2025-3-21 18:46
書目名稱Databases Theory and Applications影響因子(影響力)
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書目名稱Databases Theory and Applications網(wǎng)絡公開度學科排名
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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
作者: 紅潤 時間: 2025-3-21 20:16 作者: NATAL 時間: 2025-3-22 02:02
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作者: 厚顏 時間: 2025-3-22 05:14
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作者: TERRA 時間: 2025-3-22 09:40
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, . 作者: Flu表流動 時間: 2025-3-22 16:41 作者: Flu表流動 時間: 2025-3-22 19:56
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作者: 煩憂 時間: 2025-3-23 00:48
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作者: Asperity 時間: 2025-3-23 04:55 作者: Delirium 時間: 2025-3-23 06:09 作者: Vsd168 時間: 2025-3-23 10:00 作者: Asseverate 時間: 2025-3-23 13:58
Immune Privilege of Corneal Allografts,-action framework and takes the detected differences as the input to explore the possible reasons behind them. We test .? with analytic workloads on a production database. Compared to developers, .? can find the right reason in most cases with much less time. .?has been deployed in TiDB to help opti作者: 純樸 時間: 2025-3-23 20:59 作者: jet-lag 時間: 2025-3-23 23:00
Optimizing Taxi Route Planning Based on?Taxi Trajectory Data Analysisetter in complex spatial query tasks. These findings provide important references for taxi route planning and other big data applications, especially in scenarios requiring efficient and accurate data retrieval.作者: Favorable 時間: 2025-3-24 04:32 作者: Crumple 時間: 2025-3-24 10:17 作者: 羞辱 時間: 2025-3-24 13:12
Prompt-Based Effective Input Reformulation for?Legal Case Retrievaln 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, . 作者: STIT 時間: 2025-3-24 16:43
Towards Reliable and?Efficient Vegetation Segmentation for?Australian Wheat Data Analysislabeling of the wheat data in the training process to close the distribution gap. Meanwhile, to reduce the computational cost, we equip the lightweight transformer framework with a token clustering and reconstruction module. Extensive experimental results demonstrate that the proposed network can ac作者: 嫌惡 時間: 2025-3-24 21:37 作者: Pander 時間: 2025-3-25 01:13 作者: 小丑 時間: 2025-3-25 04:26 作者: 性冷淡 時間: 2025-3-25 09:26 作者: Glycogen 時間: 2025-3-25 12:49 作者: 食品室 時間: 2025-3-25 18:43
Why Query Plans Are Different: An Automatic Detection and Inference System-action framework and takes the detected differences as the input to explore the possible reasons behind them. We test .? with analytic workloads on a production database. Compared to developers, .? can find the right reason in most cases with much less time. .?has been deployed in TiDB to help opti作者: 天空 時間: 2025-3-25 20:32
kNN Join for?Dynamic High-Dimensional Data: A Parallel Approachet . to identify their . nearest neighbor points from the Item dataset .. This operation plays a crucial role in various domains, including knowledge discovery, data mining, similarity search applications, and scientific research. However, exact kNN search in high-dimensional spaces is computational作者: Amplify 時間: 2025-3-26 02:52 作者: Palatial 時間: 2025-3-26 07:31
Probabilistic Reverse Top-k Query on Probabilistic Data-most interest based on their objects’ references. Moreover, answering the queries on probabilistic data has been studied in many applications. The most common problem with uncertain queries is how to calculate their probabilities. Currently, there are some proposed solutions for selecting answers t作者: PTCA635 時間: 2025-3-26 12:09 作者: 只有 時間: 2025-3-26 15:47
Learning Implicit Sentiment for?Explainable Review-Based Recommendationsting in the same review may cause confusion in recommendations and generate inappropriate explanations. However, most current explainable recommendation methods fail to capture users’ implicit sentiment behind the reviews. In this paper, we propose a novel .mplicit .entiment learning model for .xpl作者: Spinal-Fusion 時間: 2025-3-26 17:26 作者: GENUS 時間: 2025-3-26 23:32
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作者: 斑駁 時間: 2025-3-27 04:34 作者: 鋪子 時間: 2025-3-27 08:07 作者: 同謀 時間: 2025-3-27 11:24
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作者: Arthr- 時間: 2025-3-27 17:04
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作者: Nefarious 時間: 2025-3-27 18:08
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作者: 愛哭 時間: 2025-3-27 22:14 作者: antiandrogen 時間: 2025-3-28 03:53
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作者: esthetician 時間: 2025-3-28 09:11
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作者: figure 時間: 2025-3-28 14:26 作者: 松雞 時間: 2025-3-28 18:36 作者: 不滿分子 時間: 2025-3-28 20:03 作者: Blasphemy 時間: 2025-3-29 00:36
Springer Series in Solid-State Sciencesdditionally, we explore the domains and datasets used in ABSA research and highlight the crucial factors contributing to ABSA task solutions’ effectiveness. This comprehensive review highlights current challenges and fosters further advancements in compound ABSA tasks.作者: Invigorate 時間: 2025-3-29 03:36
Probabilistic Reverse Top-k Query on Probabilistic Dataroach against the traditional approach. Furthermore, we upgrade the new algorithm using two techniques of R-tree and upper-lower bound. The experimental results illustrate the efficiency of the proposed algorithm compared to the traditional algorithms in terms of scalability.作者: Affiliation 時間: 2025-3-29 09:38
Surveying the?Landscape: Compound Methods for?Aspect-Based Sentiment Analysisdditionally, we explore the domains and datasets used in ABSA research and highlight the crucial factors contributing to ABSA task solutions’ effectiveness. This comprehensive review highlights current challenges and fosters further advancements in compound ABSA tasks.作者: ABOUT 時間: 2025-3-29 13:20 作者: Notorious 時間: 2025-3-29 19:03
Take a?Close Look at?the?Optimization of?Deep Kernels for?Non-parametric Two-Sample Testsst power and the MMD value with deep kernel by combining the methods from non-smooth optimization and the methods from Pareto optimization. Experiments verify the effectiveness of two methods on two benchmark datasets in the field of two-sample testing.作者: frozen-shoulder 時間: 2025-3-29 20:42
Conference proceedings 2024ons. 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..作者: 競選運動 時間: 2025-3-30 01:10
Conference proceedings 2024elbourne, 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 作者: 專橫 時間: 2025-3-30 07:41
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/d/image/263525.jpg作者: maintenance 時間: 2025-3-30 08:27 作者: TERRA 時間: 2025-3-30 16:02 作者: Cardioversion 時間: 2025-3-30 18:59
Databases Theory and Applications978-3-031-47843-7Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: Brain-Imaging 時間: 2025-3-30 23:39
