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中国科学院数学与系统科学研究院机构知识库
KMS Of Academy of mathematics and systems sciences, CAS
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Short-term load forecasting with an improved dynamic decomposition-reconstruction-ensemble approach
期刊论文
ENERGY, 2023, 卷号: 263, 页码: 16
作者:
Yang, Dongchuan
;
Guo, Ju-e
;
Li, Yanzhao
;
Sun, Shaolong
;
Wang, Shouyang
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  |  
浏览/下载:53/0
  |  
提交时间:2023/02/07
Short -term load forecasting
Time series modeling
Dynamic decomposition-reconstruction tech
nique
Neural networks
Exploratory Adversarial Attacks on Graph Neural Networks for Semi-Supervised Node Classification
期刊论文
PATTERN RECOGNITION, 2023, 卷号: 133, 页码: 12
作者:
Lin, Xixun
;
Zhou, Chuan
;
Wu, Jia
;
Yang, Hong
;
Wang, Haibo
;
Cao, Yanan
;
Wang, Bin
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  |  
浏览/下载:120/0
  |  
提交时间:2023/02/07
Gradient -based attacks
Maximal gradient
Graph neural networks
Semi-supervised node classification
VPNets: Volume-preserving neural networks for learning source-free dynamics
期刊论文
JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, 2022, 卷号: 416, 页码: 12
作者:
Zhu, Aiqing
;
Zhu, Beibei
;
Zhang, Jiawei
;
Tang, Yifa
;
Liu, Jian
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  |  
浏览/下载:62/0
  |  
提交时间:2023/02/07
Deep learning
Neural networks
Discovery of dynamics
Source-free dynamics
Volume-preserving
Data-driven discoveries of B?cklund transformations and soliton evolution equations via deep neural network learning schemes
期刊论文
PHYSICS LETTERS A, 2022, 卷号: 450, 页码: 15
作者:
Zhou, Zijian
;
Wang, Li
;
Yan, Zhenya
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  |  
浏览/下载:72/0
  |  
提交时间:2023/02/07
Deep neural networks
B?cklund transform
Miura transform
Soliton equations
Breathers
Solitons
Monte Carlo fPINNs: Deep learning method for forward and inverse problems involving high dimensional fractional partial differential equations
期刊论文
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2022, 卷号: 400, 页码: 17
作者:
Guo, Ling
;
Wu, Hao
;
Yu, Xiaochen
;
Zhou, Tao
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  |  
浏览/下载:49/0
  |  
提交时间:2023/02/07
Physics -informed neural networks
Fractional Laplacian
Nonlocal operators
Uncertainty quantification
Data-Driven Deep Learning for The Multi-Hump Solitons and Parameters Discovery in NLS Equations with Generalized PT-Scarf-II Potentials
期刊论文
NEURAL PROCESSING LETTERS, 2022, 页码: 19
作者:
Zhong, Ming
;
Zhang, Jian-Guo
;
Zhou, Zijian
;
Tian, Shou-Fu
;
Yan, Zhenya
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  |  
浏览/下载:53/0
  |  
提交时间:2023/02/07
Focusing and defocusing nonlinear Schrodinger equations
Generalized PT-Scarf-II potential
Physics-informed deep neural networks
Data-driven solitons and parameters discovery
eFraudCom: An E-commerce Fraud Detection System via Competitive Graph Neural Networks
期刊论文
ACM TRANSACTIONS ON INFORMATION SYSTEMS, 2022, 卷号: 40, 期号: 3, 页码: 29
作者:
Zhang, Ge
;
Li, Zhao
;
Huang, Jiaming
;
Wu, Jia
;
Zhou, Chuan
;
Yang, Jian
;
Gao, Jianliang
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  |  
浏览/下载:193/0
  |  
提交时间:2022/04/29
Online e-commerce platforms
fraud detection system
graph neural networks
VP-Detector: A 3D multi-scale dense convolutional neural network for macromolecule localization and classification in cryo-electron tomograms
期刊论文
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2022, 卷号: 221, 页码: 14
作者:
Hao, Yu
;
Wan, Xiaohua
;
Yan, Rui
;
Liu, Zhiyong
;
Li, Jintao
;
Zhang, Shihua
;
Cui, Xuefeng
;
Zhang, Fa
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  |  
浏览/下载:96/0
  |  
提交时间:2023/02/07
Cryo-ET
Sub-tomogram averaging
Particle localization
Particle classification
Convolutional neural networks
Structure-Aware Prototypical Neural Process for Few-Shot Graph Classification
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 15
作者:
Lin, Xixun
;
Li, Zhao
;
Zhang, Peng
;
Liu, Luchen
;
Zhou, Chuan
;
Wang, Bin
;
Tian, Zhihong
收藏
  |  
浏览/下载:99/0
  |  
提交时间:2023/02/07
Task analysis
Kernel
Training
Decoding
Stochastic processes
Predictive models
Computational modeling
Few-shot learning
graph classification
graph neural networks (GNNs)
neural process (NP)
Ensemble wavelet-learning approach for predicting the effective mechanical properties of concrete composite materials
期刊论文
COMPUTATIONAL MECHANICS, 2022, 页码: 31
作者:
Linghu, Jiale
;
Dong, Hao
;
Cui, Junzhi
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  |  
浏览/下载:91/0
  |  
提交时间:2022/06/21
Concrete composite materials
Weibull distribution
Equivalent mechanical parameters
Artificial neural networks
Wavelet transform