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检索条件"机构=Jiangxi Key Laboratory of Data and Knowledge Engineering"
1032 条 记 录,以下是821-830 订阅
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Generative Aspect Based Sentiment Analysis for Online Health Community with data Augmentation
SSRN
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SSRN 2023年
作者: Han, Pu Ye, Dongyu Gu, Liang Chen, Wenqi Wei, Hongchen Li, Xiaoyan School of Management Nanjing University of Posts & Telecommunications Nanjing210003 China Jiangsu Provincial Key Laboratory of Data Engineering and Knowledge Service Nanjing210023 China School of Basic Medical Sciences Nanjing Medical University Nanjing210029 China
Accurate analysis of patients' feedback on various medical aspects is of great importance for improving the quality of healthcare services. In this paper, we address the task of extracting aspects and opinions by ... 详细信息
来源: 评论
LadRa-Net: Locally-aware dynamic re-read attention net for sentence semantic matching
arXiv
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arXiv 2021年
作者: Zhang, Kun Lv, Guangyi Wu, Le Chen, Enhong Liu, Qi Wang, Meng Key Laboratory of Knowledge Engineering with Big Data School of Computer and Information Hefei University of Technology Anhui Hefei230029 China AI Lab at Lenovo Research Beijing100094 China University of Science and Technology of China Hefei230026 China
Sentence semantic matching requires an agent to determine the semantic relation between two sentences, which is widely used in various natural language tasks, such as Natural Language Inference (NLI), Paraphrase Ident... 详细信息
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BanFEL: A Blockchain Based Smart Contract for Fair and Efficient Lottery Scheme
BanFEL: A Blockchain Based Smart Contract for Fair and Effic...
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IEEE Conference on Dependable and Secure Computing
作者: Jiasheng Li Zijian Zhang Meng Li Beijing Engineering Research Center of Massive Language Information Beijing Institute of Technology Beijing China School of Computer Science University of Auckland Aukland New Zealand Key Laboratory of Knowledge Engineering with Big Data (Hefei University of Technology) Hefei University of Technology Anhui China
Lottery is a game with many people's dreams. But corruptions of lottery centers make the lottery unfair. To address this unfair issue, fair lottery schemes have been studied for several years. In these schemes, de... 详细信息
来源: 评论
Hierarchical Context Modeling Network for Landmark Recognition
Hierarchical Context Modeling Network for Landmark Recogniti...
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IEEE International Conference on data Mining (ICDM)
作者: Xing Bao Huan Zheng Zhao Zhang Zhengjun Zha Meng Wang School of Information Science and Technology University of Science and Technology of China Hefei China Aerospace Information Research Institute Suzhou China School of Computer Science and Information Engineering Hefei University of Technology Hefei China Key Laboratory of Knowledge Engineering with Big Data (Ministry of Education) & Intelligent Interconnected Systems Laboratory of Anhui Province Hefei University of Technology Hefei China Yunnan Key Laboratory of Software Engineering Kunming China
Landmark recognition stands as a prominent classification challenge within the domain of vision and perception, involving the identification and localization of landmarks in images. However, existing landmark recognit...
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Adaptive Student Inference Network for Efficient Single Image Super-Resolution
Adaptive Student Inference Network for Efficient Single Imag...
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IEEE International Conference on data Mining (ICDM)
作者: Kang Miao Zhao Zhang Jiahuan Ren Mingbo Zhao Haijun Zhang Richang Hong School of Computer Science and Information Engineering Hefei University of Technology Hefei China Key Laboratory of Knowledge Engineering with Big Data (Ministry of Education) & Intelligent Interconnected Systems Laboratory of Anhui Province Hefei University of Technology Hefei China Yunnan Key Laboratory of Software Engineering Kunming China School of Information Science and Technology Donghua University Shanghai China Department of Computer Science Harbin Institute of Technology (Shenzhen) Shenzhen China
Recent advances in single image super-resolution (SISR) have achieved remarkable performance through deep learning. However, the high computational cost hinders the deployment of SISR models on edge devices. Instead o...
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Constant approximation for virtual backbone construction with Guaranteed Routing Cost in wireless sensor networks
Constant approximation for virtual backbone construction wit...
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IEEE Annual Joint Conference: INFOCOM, IEEE Computer and Communications Societies
作者: Hongwei Du Qiang Ye Weili Wu Wonjun Lee Deying Li Dingzhu Du Stephen Howard Department of Computer Science and Information Technology University of Prince Edward Island Canada Department of Computer Science University of Texas Dallas USA Department of Computer Science and Engineering Korea University Seoul South Korea Key Laboratory of Data Engineering and Knowledge Engineering MOE Renmin University of China China
In wireless sensor networks, virtual backbone construction based on connected dominating set is a competitive issue for routing efficiency and topology control. Assume that a sensor networks is defined as a connected ... 详细信息
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Multiagent Q-Learning for Multicrew Dynamic Scheduling and Routing in Road Network Restoration
Multiagent Q-Learning for Multicrew Dynamic Scheduling and R...
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Chinese Control and Decision Conference, CCDC
作者: Yufeng Shen Lianqi Duan Qianshun Zhu Zhaopin Su Guofu Zhang School of Computer Science and Information Engineering Hefei University of Technology Hefei 230601 School of Computer Science and Information Engineering Hefei University of Technology Hefei Key Laboratory of Knowledge Engineering with Big Data (Hefei University of Technology) Ministry of Education Hefei Intelligent Interconnected Systems Laboratory of Anhui Province (Hefei University of Technology) Hefei Anhui Province Key Laboratory of Industry Safety and Emergency Technology (Hefei University of Technology) Heifei
Road network restoration is an important issue in the post-disaster disposal and rescue, especially when extraordinarily serious natural disasters (e.g., floods and earthquakes) occur. Central to this endeavour is the... 详细信息
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Dist-PU: Positive-Unlabeled Learning from a Label Distribution Perspective
arXiv
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arXiv 2022年
作者: Zhao, Yunrui Xu, Qianqian Jiang, Yangbangyan Wen, Peisong Huang, Qingming School of Computer Science and Technology University of Chinese Academy of Sciences China Key Laboratory of Intelligent Information Processing Institute of Computing Technology CAS China State Key Laboratory of Information Security Institute of Information Engineering CAS China School of Cyber Security University of Chinese Academy of Sciences China Key Laboratory of Big Data Mining and Knowledge Management University of Chinese Academy of Sciences China
Positive-Unlabeled (PU) learning tries to learn binary classifiers from a few labeled positive examples with many unlabeled ones. Compared with ordinary semi-supervised learning, this task is much more challenging due... 详细信息
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Visual Feature Combination Approach for Zero-Shot Learning
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Ruan Jian Xue Bao/Journal of Software 2018年 29卷 16-29页
作者: Yang, Gang Liu, Jin-Lu Li, Xi-Rong Xu, Jie-Ping School of Information Renmin University of China Beijing100872 China Key Laboratory of Data Engineering and Knowledge Engineering Renmin University of China Beijing100872 China
Zero-Shot learning is an important research in the field of machine learning and image recognition. Zero-Shot learning methods normally use the semantic information among unseen classes and seen classes to transfer th... 详细信息
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Learning Representations from Local to Global for Fine-grained Patient Similarity Measuring in Intensive Care Unit
Learning Representations from Local to Global for Fine-grain...
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IEEE International Conference on data Mining (ICDM)
作者: Xianli Zhang Buyue Qian Yang Li Zeyu Gao Chong Guan Renzhen Wang Yefeng Zheng Hansen Zheng Chen Li School of Computer Science and Technology Xi’an Jiaotong University Shaanxi Provincial Key Laboratory of Big Data Knowledge Engineering Beijing Chaoyang Hospital Capital Medical University Tencent Shenzhen Guandong China School of Mathematics and Statistics Xi’an Shaanxi China
Patient similarity measurement is an essential step in discovering clinically meaningful subgroups and building case retrieval systems. Most existing studies implement this procedure using similarity measurement algor... 详细信息
来源: 评论