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检索条件"机构=Zhejiang Key Laboratory of Big Data Intelligent Computing"
743 条 记 录,以下是91-100 订阅
排序:
CQUPT-HDS: Health big data Security Monitoring Scheme for the Whole Life Cycle
CQUPT-HDS: Health Big Data Security Monitoring Scheme for th...
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Medical Artificial Intelligence (MedAI), IEEE International Conference on
作者: Yunpeng Xiao Yun Lu Xiaohan Liu Peiyan Pei Dengke Zhao Yutong Guo Zhenzhou Xue Guoyin Wang Key Laboratory of Big Data Intelligent Computing Chongqing University of Posts and Telecommunications Chongqing China
Federal Learning (FL) has made remarkable achievements in the medical field, but the technology still faces challenges in data sharing and privacy protection, which limits its application in the medical field. To solv... 详细信息
来源: 评论
AUCSeg: AUC-oriented Pixel-level Long-tail Semantic Segmentation  38
AUCSeg: AUC-oriented Pixel-level Long-tail Semantic Segmenta...
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38th Conference on Neural Information Processing Systems, NeurIPS 2024
作者: Han, Boyu Xu, Qianqian Yang, Zhiyong Bao, Shilong Wen, Peisong Jiang, Yangbangyan Huang, Qingming Key Lab. of Intelligent Information Processing Institute of Computing Technology CAS China School of Computer Science and Tech. University of Chinese Academy of Sciences China Peng Cheng Laboratory China Key Laboratory of Big Data Mining and Knowledge Management CAS China
The Area Under the ROC Curve (AUC) is a well-known metric for evaluating instance-level long-tail learning problems. In the past two decades, many AUC optimization methods have been proposed to improve model performan...
来源: 评论
A New Model Based on Differential Evolutionary Algorithm and Markov Clustering for Identifying Protein Complexes  42
A New Model Based on Differential Evolutionary Algorithm and...
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42nd Chinese Control Conference, CCC 2023
作者: Feng, Zengyu Tuo, Shouheng Chen, Tianrui School of Computer Science and Technology Xi'an University of Posts and Telecommunications Shaanxi Xi'an710121 China Xi'an Key Laboratory of Big Data and Intelligent Computing Shaanxi Xi'an710121 China
As the material basis for all life activities, proteins play a crucial role in performing life activities. Most real-life proteins perform various functions in the form of protein complexes, so it is essential for und... 详细信息
来源: 评论
Multi-View Fusion Networks for Multimodal Fake News Detection  11
Multi-View Fusion Networks for Multimodal Fake News Detectio...
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11th Joint International Information Technology and Artificial Intelligence Conference, ITAIC 2023
作者: Cui, Wei Li, Pu Zhang, Xuerui College of Computer Science and Technology Chongqing University of Posts and Telecommunications Chongqing China Chongqing Institute of Green and Intelligent Technology Chongqing Key Laboratory of Big Data and Intelligent Computing Chinese Academy of Sciences Chongqing China
The proliferation of multimedia fake news misleads social opinion, damages social harmony, and seriously challenges the authority of news media. Current multimodal fake news detection methods focus on extracting bette... 详细信息
来源: 评论
DSAFF-Net:A Backbone Network Based on Mask R-CNN for Small Object Detection
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Computers, Materials & Continua 2023年 第2期74卷 3405-3419页
作者: Jian Peng Yifang Zhao Dengyong Zhang Feng Li Arun Kumar Sangaiah Hunan Provincial Key Laboratory of Intelligent Processing of Big Data on Transportation Changsha University of Science and TechnologyChangsha410114China School of Computer and Communication Engineering Changsha University of Science and TechnologyChangsha410114China School of Computing Science and Engineering Vellore Institute of Technology(VIT)Vellore632014India
Recently,object detection based on convolutional neural networks(CNNs)has developed *** backbone networks for basic feature extraction are an important component of the whole detection ***,we present a new feature ext... 详细信息
来源: 评论
Some Thoughts on the Classification Standard of intelligent Autonomous Level of Measurement and Control System  9
Some Thoughts on the Classification Standard of Intelligent ...
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9th International Conference on big data and Information Analytics, bigDIA 2023
作者: Yuan, Guangfu Yang, Liu Han, Haoran Li, Yong Shao, Cong Zhan, Siyu Gansu Photoelectric Measurement Technology Research Laboratory Gansu735018 China University of Electronic Science and Technology of China Laboratory of Intelligent Collaborative Computing Chengdu China Trusted Cloud Computing and Big Data Key Laboratory of Sichuan Province Chengdu611731 China
Intelligence is an important trend in the development of measurement and control systems. However, there is still a lack of unified understanding of the intelligent autonomous classification of the measurement and con... 详细信息
来源: 评论
DDoS Detection and Defense Based on FLAD and SDN  20
DDoS Detection and Defense Based on FLAD and SDN
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20th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery, ICNC-FSKD 2024
作者: Dong, Jie Fang, Wenyu Zheng, Wanling Liu, Jinkun Liu, Yanhua College of Computer and Data Science Fuzhou University Fuzhou350108 China Fujian Key Laboratory of Network Computing and Intelligent Information Processing Fuzhou University Fuzhou350108 China Engineering Research Center of Big Data Intelligence Ministry of Education Fuzhou350108 China
In order to achieve more efficient and accurate DDoS detection while ensuring data privacy, this paper proposes a DDoS detection method based on FLAD. Firstly, this paper uses the FLAD algorithm to train a global DDoS... 详细信息
来源: 评论
Using Rough Sets to Improve the High-dimensional data Anomaly Detection Method Based on Extended Isolation Forest  26
Using Rough Sets to Improve the High-dimensional Data Anomal...
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26th International Conference on Computer Supported Cooperative Work in Design, CSCWD 2023
作者: Liu, Hanlin Zhou, Jiantao Li, Hua Inner Mongolia University College of Computer Science Hohhot China Natl. Loc. Jt. Eng. Research Center of Intelligent Information Processing Technology for Mongolian Engineering Research Center of Ecological Big Data Ministry of Education Inner Mongolia Engineering Laboratory for Cloud Computing and Service Software Inner Mongolia Key Laboratory of Social Computing and Data Processing Inner Mongolia Key Laboratory of Discipline Inspection and Supervision Big Data Inner Mongolia Engineering Laboratory for Big Data Analysis Technology Hohhot China
Anomaly detection refers to the identification of data objects that deviate from the general data distribution. One of the important challenges in anomaly detection is handling high-dimensional data, especially when i... 详细信息
来源: 评论
A Cross-Domain Ontology Semantic Representation Based on NCBI-BlueBERT Embedding
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Chinese Journal of Electronics 2022年 第5期31卷 860-869页
作者: ZHAO Lingling WANG Junjie WANG Chunyu GUO Maozu Faculty of Computing Harbin Institute of Technology Department of Medical Informatics School of Biomedical Engineering and InformaticsNanjing Medical University Beijing Key Laboratory of Intelligent Processing for Building Big Data School of Electrical and Information Engineering Beijing University of Civil Engineering and Architecture
A common but critical task in biological ontologies data analysis is to compare the difference between ontologies. There have been numerous ontologybased semantic-similarity measures proposed in specific ontology doma... 详细信息
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Tensor Graph Convolutional Network for Dynamic Graph Representation Learning  7
Tensor Graph Convolutional Network for Dynamic Graph Represe...
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7th International Symposium on Autonomous Systems, ISAS 2024
作者: Wang, Ling Yuan, Ye The School of Computer Science and Technology Chongqing University of Posts and Telecommunications Chongqing400065 China The Chongqing Key Laboratory of Big Data and Intelligent Computing Chongqing Engineering Research Center of Big Data Application For Smart Cities Chongqing Institute of Green and Intelligent Technology Chinese Academy of Sciences Chongqing400714 China College of Computer and Information Science Southwest University Chongqing400715 China
Dynamic graphs (DG) represent evolving interactions between entities in various real-world scenarios. Many existing DG representation learning models employ a combination of graph convolutional networks and sequence n... 详细信息
来源: 评论