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检索条件"机构=Key Lab of Data Engineering and Knowledge Engineering of Ministry of Education"
688 条 记 录,以下是331-340 订阅
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A Baseline for Early Classification of Time Series in An Open World
A Baseline for Early Classification of Time Series in An Ope...
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IEEE Annual International Computer Software and Applications Conference (COMPSAC)
作者: Junwei Lv Xuegang Hu Key Laboratory of Knowledge Engineering with Big Data Ministry of Education Hefei University of Technology Hefei China School of Computer Science and Information Engineering Hefei University of Technology Hefei China
Early classification of time series aims to accurately predict the class label of a time series as early as possible, which is significant but challenging in many time-sensitive applications. Existing early classifica... 详细信息
来源: 评论
Co-training Based on Semi-Supervised Ensemble Classification Approach for Multi-label data Stream
Co-training Based on Semi-Supervised Ensemble Classification...
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IEEE International Conference on Big knowledge (ICBK)
作者: Zhe Chu Peipei Li Xuegang Hu Key Laboratory of Knowledge Engineering with Big Data (Hefei University of Technology) Ministry of Education AnHui China School of Computer Science and Information Engineering Hefei University of Technology AnHui China
A large amount of data streams in the form of texts and images has been emerging in many real-world applications. These data streams often present the characteristics such as multi-labels, label missing and new class ... 详细信息
来源: 评论
TransD-based Multi-hop Meta Learning for Few-shot knowledge Graph Completion
TransD-based Multi-hop Meta Learning for Few-shot Knowledge ...
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International Joint Conference on Neural Networks (IJCNN)
作者: Jindi Li Kui Yu Yuling Li Yuhong Zhang Key Laboratory of Knowledge Engineering with Big Data of Ministry of Education Hefei University of Technology Hefei China School of Computer Science and Information Engineering Hefei University of Technology Hefei China
Few-shot knowledge graph completion (FKGC), which aims to infer missing facts about a relation from only a few reference triples, has recently attracted great attention. The core of solving the FKGC task is to learn a...
来源: 评论
Classification of Table Cells Based on LLM Prompts
Classification of Table Cells Based on LLM Prompts
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IEEE International Conference on Systems, Man and Cybernetics
作者: Mengjie Liu Chenyang Bu Shengxing Bai Bingbing Dong Xindong Wu Key Laboratory of Knowledge Engineering with Big Data (the Ministry of Education of China) Hefei University of Technology China School of Computer Science and Information Engineering Hefei University of Technology Hefei China
Tables, as an important means of data storage, are widely used in spreadsheets, web tables, and PDFs. By integrating information from table data with knowledge re-trieved from an external knowledge base, and examining... 详细信息
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Research on Multi-AGVs dynamic scheduling based on deep reinforcement learning  19
Research on Multi-AGVs dynamic scheduling based on deep rein...
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19th IEEE International Conference on e-Business engineering, ICEBE 2023
作者: Qin, Zhuorui Wu, Xiaoqian Zheng, Yimin Wu, Qingyao South China University of Technology School of Software Engineering Guangzhou China Key Laboratory of Big Data and Intelligent Robot Ministry of Education China Shenzhen Bangqi Technology Intelligent Development Co. Ltd Shenzhen China Pazhou Lab Guangzhou China
Driven by the latest advances in industrial artificial intelligence, automatic guided vehicles (AGVs) have been widely used for material handling in flexible workshops. In the pursuit of agile and flexible production ... 详细信息
来源: 评论
Fine-grained Cross-modal Fusion based Refinement for Text-to-Image Synthesis
arXiv
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arXiv 2023年
作者: Haoran, Sun Yang, Wang Haipeng, Liu Biao, Qian Meng, Wang Key Laboratory of Knowledge Engineering With Big Data Ministry of Education Hefei University of Technology Hefei China Department of Computer Science and Information Engineering Hefei University of Technology Hefei China
Text-to-image synthesis refers to generating visual-realistic and semantically consistent images from given textual descriptions. Previous approaches generate an initial low-resolution image and then refine it to be h... 详细信息
来源: 评论
More Grounded Image Captioning by Distilling Image-Text Matching Model
More Grounded Image Captioning by Distilling Image-Text Matc...
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Conference on Computer Vision and Pattern Recognition (CVPR)
作者: Yuanen Zhou Meng Wang Daqing Liu Zhenzhen Hu Hanwang Zhang Key Laboratory of Knowledge Engineering with Big Data (Ministry of Education) School of Computer Science and Information Engineering Hefei University of Technology University of Science and Technology of China Nanyang Technological University
Visual attention not only improves the performance of image captioners, but also serves as a visual interpretation to qualitatively measure the caption rationality and model transparency. Specifically, we expect that ... 详细信息
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Optimizing parameters of algorithm trading strategies using MapReduce
Optimizing parameters of algorithm trading strategies using ...
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International Conference on Fuzzy Systems and knowledge Discovery (FSKD)
作者: Xiongpai Qin Huiju Wang Furong Li Jidong Chen Xuan Zhou Xiaoyong Du Shan Wang Key Laboratory of Data Engineering and Knowledge Engineering (RUC) Ministry of Education Beijing China School of Information Renmin University of China Beijing China EMC-Greenplum Research China China
In algorithm trading, computer algorithms are used to make the decision on the time, quantity, and direction of operations (buy, sell, or hold) automatically. To create a useful algorithm, the parameters of the algori... 详细信息
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A Client Selection Method Based on Loss Function Optimization for Federated Learning
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Computer Modeling in engineering & Sciences 2023年 第10期137卷 1047-1064页
作者: Yan Zeng Siyuan Teng Tian Xiang Jilin Zhang Yuankai Mu Yongjian Ren Jian Wan School of Computer Science and Technology Hangzhou Dianzi UniversityHangzhou310018China Key Laboratory of Complex System Modeling and Simulation Ministry of EducationHangzhou310018China Zhejiang Engineering Research Center of Data Security Governance Hangzhou310018China Intelligent Robotics Research Center Zhejiang LabHangzhou311100China HDU-ITMO Joint Institute Hangzhou Dianzi UniversityHangzhou310018China
Federated learning is a distributedmachine learningmethod that can solve the increasingly serious problemof data islands and user data privacy,as it allows training data to be kept locally and not shared with other **... 详细信息
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Discovering Reliable Information Extraction Patterns with Pre-Trained Model for Text with Writing Style
Discovering Reliable Information Extraction Patterns with Pr...
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IEEE International Conference on Systems, Man and Cybernetics
作者: Chenyang Bu Jiacheng Liu Jiaxuan Liu Shengwei Ji Hongbin Yang Ministry of Education Key Laboratory of Knowledge Engineering with Big Data School of Computer Science and Information Engineering Hefei University of Technology Hefei Anhui China School of Artificial Intelligence and Big Data Hefei University China
Large-scale pre-trained models such as GPT and BERT have demonstrated remarkable performance in information extraction tasks. However, their black-box nature poses challenges for reliability and interpretability. In c...
来源: 评论