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Stochastic higher-order three-scale strength prediction model for composite structures with micromechanical analysis 期刊论文
JOURNAL OF COMPUTATIONAL PHYSICS, 2022, 卷号: 465, 页码: 30
作者:  Dong, Hao;  Yang, Zihao;  Guan, Xiaofei;  Cui, Junzhi
收藏  |  浏览/下载：75/0  |  提交时间：2023/02/07
Composite structures  Multiscale random configurations  SHTSP model  Multilevel strategy  Strength prediction  
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：97/0  |  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)  
Biomarker interaction selection and disease detection based on multivariate gain ratio 期刊论文
BMC BIOINFORMATICS, 2022, 卷号: 23, 期号: 1, 页码: 16
作者:  Chu, Xiao;  Jiang, Mao;  Liu, Zhuo-Jun
收藏  |  浏览/下载：51/0  |  提交时间：2023/02/07
Multivariate gain ratio  Biomarker interaction  Disease detection  
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
收藏  |  浏览/下载：90/0  |  提交时间：2022/06/21
Concrete composite materials  Weibull distribution  Equivalent mechanical parameters  Artificial neural networks  Wavelet transform  
Cross-Network Skip-Gram Embedding for Joint Network Alignment and Link Prediction 期刊论文
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2022, 卷号: 34, 期号: 3, 页码: 1080-1095
作者:  Du, Xingbo;  Yan, Junchi;  Zhang, Rui;  Zha, Hongyuan
收藏  |  浏览/下载：119/0  |  提交时间：2022/04/02
Task analysis  Predictive models  Social network services  Peer-to-peer computing  Optimization  Computational modeling  Computer science  Link prediction  network alignment  cross-network embedding  skip-gram  biased random walk  
A New Hybrid VMD-ICSS-BiGRU Approach for Gold Futures Price Forecasting and Algorithmic Trading 期刊论文
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2021, 卷号: 8, 期号: 6, 页码: 1357-1368
作者:  Li, Yuze;  Wang, Shouyang;  Wei, Yunjie;  Zhu, Qing
收藏  |  浏览/下载：108/0  |  提交时间：2022/04/02
Gold  Forecasting  Autoregressive processes  Predictive models  Signal resolution  Deep learning  Mathematical model  Algorithmic trading  bidirectional gated recurrent unit (BiGRU)  gold futures price forecasting  variational mode decomposition (VMD)  
Exploring Statistical Arbitrage Opportunities Using Machine Learning Strategy 期刊论文
COMPUTATIONAL ECONOMICS, 2021, 页码: 22
作者:  Zhan, Baoqiang;  Zhang, Shu;  Du, Helen S.;  Yang, Xiaoguang
收藏  |  浏览/下载：116/0  |  提交时间：2022/04/02
Statistical arbitrage  Cointegration  Machine learning  Opportunities exploration  
High-order three-scale computational method for elastic behavior analysis and strength prediction of axisymmetric composite structures with multiple spatial scales 期刊论文
MATHEMATICS AND MECHANICS OF SOLIDS, 2021, 卷号: 26, 期号: 6, 页码: 905-936
作者:  Dong, Hao;  Cui, Junzhi;  Nie, Yufeng;  Jin, Ke;  Guan, Xiaofei;  Yang, Zihao
收藏  |  浏览/下载：137/0  |  提交时间：2021/10/26
Multiscale asymptotic analysis  mechanical behaviors  axisymmetric composite structures  micro-meso-macro coupled model  HOTS numerical algorithm  
Distribution-Free One-Pass Learning 期刊论文
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2021, 卷号: 33, 期号: 3, 页码: 951-963
作者:  Zhao, Peng;  Wang, Xinqiang;  Xie, Siyu;  Guo, Lei;  Zhou, Zhi-Hua
收藏  |  浏览/下载：165/0  |  提交时间：2021/04/26
Data models  Random variables  Proposals  Training  Prediction algorithms  Task analysis  Compressed sensing  Distribution change  one-pass learning  robust learning  non-stationary environments  
A survey and systematic assessment of computational methods for drug response prediction 期刊论文
BRIEFINGS IN BIOINFORMATICS, 2021, 卷号: 22, 期号: 1, 页码: 232-246
作者:  Chen, Jinyu;  Zhang, Louxin
收藏  |  浏览/下载：179/0  |  提交时间：2021/06/01
Drug response prediction  regression model  low rank matrix factorization based approach  Bayesian inference  deep learning  benchmark