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检索条件"机构=Jilin University Key Laboratory of Symbolic Computation and Knowledge Engineering"
1190 条 记 录,以下是41-50 订阅
排序:
A Method for Extracting Electronic Medical Record Entities by Fusing Multichannel Self-Attention Mechanism with Location Relationship Features  9th
A Method for Extracting Electronic Medical Record Entities b...
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9th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2023
作者: Xu, Hongyan Wang, Hong Feng, Yong Wang, Rongbing Zhang, Yonggang College of Information Liaoning University Shenyang110036 China Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun130012 China
With the implementation of the "Internet+" strategy, electronic medical records are generally applied in the medical field. Deep mining of electronic medical record content data is an effective means to obta... 详细信息
来源: 评论
Positive and Unlabeled Learning with Controlled Probability Boundary Fence  41
Positive and Unlabeled Learning with Controlled Probability ...
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41st International Conference on Machine Learning, ICML 2024
作者: Li, Changchun Dai, Yuanchao Feng, Lei Li, Ximing Wang, Bing Ouyang, Jihong College of Computer Science and Technology Jilin University China Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University China Information Systems Technology and Design Pillar Singapore University of Technology and Design Singapore
Positive and Unlabeled (PU) learning refers to a special case of binary classification, and technically, it aims to induce a binary classifier from a few labeled positive training instances and loads of unlabeled inst... 详细信息
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A novel hybrid butterfly optimization algorithm for feature selection with sine cosine velocity in the high-dimensional classification data
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Journal of Intelligent and Fuzzy Systems 2024年 第5-6期47卷 369-391页
作者: Zhang, Li Chen, Xiaobo Key Laboratory of Data Science and Intelligence Education Hainan Normal University Ministry of Education Haikou Hainan China School of Computer Engineering Jiangsu University of Technology Changzhou Jiangsu China Changzhou City Center Branch People's Bank of China Changzhou Jiangsu China Key Laboratory of Symbolic Computation and Knowledge Engineering Ministry of Education Jilin University Changchun China
Aiming at the shortcomings of the traditional butterfly optimization algorithm in solving the high-dimensional classification feature selection problem, which has low convergence and is prone to fall into local optima... 详细信息
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An embedded vertical‐federated feature selection algorithm based on particle swarm optimisation
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CAAI Transactions on Intelligence Technology 2023年 第3期8卷 734-754页
作者: Yong Zhang Ying Hu Xiaozhi Gao Dunwei Gong Yinan Guo Kaizhou Gao Wanqiu Zhang School of Information and Control Engineering China University of Mining and TechnologyXuzhouChina The Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin UniversityChangchunChina School of Computing University of Eastern FinlandKuopioFinland The Macao Institute of Systems Engineering Macao University of Science and TechnologyTaipaChina
In real life,a large amount of data describing the same learning task may be stored in different institutions(called participants),and these data cannot be shared among par-ticipants due to privacy *** case that diffe... 详细信息
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A Sparse Optical Flow Method for Camera Tracking under Fisheye Camera Models  5
A Sparse Optical Flow Method for Camera Tracking under Fishe...
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5th International Conference on Frontiers Technology of Information and Computer, ICFTIC 2023
作者: Zhang, Zuoming Wang, Xin College of Computer Science and Technology Jilin China College of Computer Science and Technology Key Laboratory of Symbolic Computation and Knowledge Engineering Ministry of Education Jilin China
In computer image processing, optical flow is a classic task used to track the motion of pixels. In the field of robotics, methods like SLAM extensively employ sparse optical flow as a substitute for time-consuming fe... 详细信息
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Spatiotemporal Transformer for Data Inference and Long Prediction in Sparse Mobile CrowdSensing  42
Spatiotemporal Transformer for Data Inference and Long Predi...
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42nd IEEE International Conference on Computer Communications, INFOCOM 2023
作者: Wang, En Liu, Weiting Liu, Wenbin Xiang, Chaocan Yang, Bo Yang, Yongjian Jilin University College of Computer Science and Technology China Jilin University Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education China Chongqing University College of Computer Science China
Mobile CrowdSensing (MCS) is a data sensing paradigm that recruits users carrying mobile terminals to collect data. As its variant, Sparse MCS has been further proposed for large-scale and fine-grained sensing task wi... 详细信息
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FlexPDA:A Flexible Programming Framework for Deep Learning Accelerators
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Journal of Computer Science & Technology 2022年 第5期37卷 1200-1220页
作者: Lei Liu Xiu Ma Hua-xiao Liu Guang-li Li Lei Liu College of Computer Science and Technology Jilin UniversityChangchunChina Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin UniversityChangchunChina State Key Laboratory of Computer Architecture Institute of Computing TechnologyChinese Academy of SciencesBeijingChina University of Chinese Academy of Sciences BeijingChina
There are a wide variety of intelligence accelerators with promising performance and energy efficiency,deployed in a broad range of applications such as computer vision and speech ***,programming productivity hinders ... 详细信息
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Strengthened Initialization of Adaptive Cross-Generation Differential Evolution
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Computer Modeling in engineering & Sciences 2022年 第3期130卷 1495-1516页
作者: Wei Wan Gaige Wang Junyu Dong Department of Computer Science of Technology Ocean University of ChinaQingdao266100China Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin UniversityChangchun130012China Guangxi Key Laboratory of Hybrid Computation and IC Design Analysis Guangxi University for NationalitiesNanning530006China
Adaptive Cross-Generation Differential Evolution(ACGDE)is a recently-introduced algorithm for solving multiobjective problems with remarkable performance compared to other evolutionary algorithms(EAs).However,its conv... 详细信息
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SMRI: A New Method for siRNA Design for COVID-19 Therapy
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Journal of Computer Science & Technology 2022年 第4期37卷 991-1002页
作者: Meng-Xin Chen Xiao-Dong Zhu Hao Zhang Zhen Liu Yuan-Ning Liu College of Software Jilin UniversityChangchun 130012China Key Laboratory of Symbolic Computation and Knowledge Engineering of the Ministry of Education Jilin UniversityChangchun 130012China College of Computer Science and Technology Jilin UniversityChangchun 130012China Graduate School of Engineering Nagasaki Institute of Applied ScienceNagasaki 851-0193Japan
First discovered in Wuhan, China, SARS-CoV-2 is a highly pathogenic novel coronavirus, which rapidly spreads globally and becomes a pandemic with no vaccine and limited distinctive clinical drugs available till March ... 详细信息
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2D-3D Feature Co-Embedding Network with Sparse Annotation for 3D Medical Image Segmentation
2D-3D Feature Co-Embedding Network with Sparse Annotation fo...
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2024 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2024
作者: Zhu, Mingzhu Guo, Shuyu Wang, Ziwei Jiao, Jianhang Bai, Tian Jilin University College of Computer Science and Technology Changchun China Jilin University Key Laboratory of Symbolic Computation and Knowledge Engineering Ministry of Education Changchun China Jilin University College of Software Changchun China The Second Norman Bethune Hospital Jilin University Department of Orthopedics Changchun China
Supervised methods on 3D medical image segmentation need large amounts of annotated data, but annotating is time-consuming. Also, existing 3D segmentation methods capture more global structural information but overloo... 详细信息
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