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A Novel Approach to Large-Scale Dynamically Weighted Directed Network Representation 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2022, 卷号: 44, 期号: 12, 页码: 9756-9773
作者:  Luo, Xin;  Wu, Hao;  Wang, Zhi;  Wang, Jianjun;  Meng, Deyu
收藏  |  浏览/下载：67/0  |  提交时间：2022/12/26
Tensors  Computational modeling  Numerical models  Data models  Convergence  Analytical models  Adaptation models  Dynamically weighted directed network  terminal interaction pattern analysis system  latent factorization of tensors  high dimensional and incomplete tensor  link prediction  representation learning  latent feature  
A Novel Calibration System for Robot Arm via an Open Dataset and a Learning Perspective 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, 2022, 卷号: 69, 期号: 12, 页码: 5169-5173
作者:  Li, Zhibin;  Li, Shuai;  Francis, Adam;  Luo, Xin
收藏  |  浏览/下载：518/0  |  提交时间：2023/04/06
Robot calibration system  kinematic parameters  industrial robot arm  extended Kalman filter  improved covariance matrix adaptation evolution strategy  absolute positioning accuracy  
Application of an Interpretable Machine Learning Model to Predict Lymph Node Metastasis in Patients with Laryngeal Carcinoma 期刊论文
JOURNAL OF ONCOLOGY, 2022, 卷号: 2022, 页码: 12
作者:  Feng, Menglong;  Zhang, Juhong;  Zhou, Xiaoqing;  Mo, Hailan;  Jia, Lifeng;  Zhang, Chanyuan;  Hu, Yaqin;  Yuan, Wei
收藏  |  浏览/下载：42/0  |  提交时间：2022/12/26
Synthesizing ranking functions for loop programs via SVM 期刊论文
THEORETICAL COMPUTER SCIENCE, 2022, 卷号: 935, 页码: 1-20
作者:  Li, Yi;  Li, Xie;  Li, Yong;  Sun, Xuechao;  Turrini, Andrea;  Zhang, Lijun
收藏  |  浏览/下载：38/0  |  提交时间：2022/12/26
Program analysis  Termination  Nested ranking function  Multi -phase ranking function  Support vector machine  
Coupling Machine Learning Into Hydrodynamic Models to Improve River Modeling With Complex Boundary Conditions 期刊论文
WATER RESOURCES RESEARCH, 2022, 卷号: 58, 期号: 10, 页码: 15
作者:  Huang, Sheng;  Xia, Jun;  Wang, Yueling;  Wang, Wenyucheng;  Zeng, Sidong;  She, Dunxian;  Wang, Gangsheng
收藏  |  浏览/下载：37/0  |  提交时间：2022/12/26
river modeling  machine learning  hydrodynamic models  water exchange  downstream boundary conditions  
Optimization of anesthetic decision-making in ERAS using Bayesian network 期刊论文
FRONTIERS IN MEDICINE, 2022, 卷号: 9, 页码: 16
作者:  Chen, Yuwen;  Zhu, Yiziting;  Zhong, Kunhua;  Yang, Zhiyong;  Li, Yujie;  Shu, Xin;  Wang, Dandan;  Deng, Peng;  Bai, Xuehong;  Gu, Jianteng;  Lu, Kaizhi;  Zhang, Ju;  Zhao, Lei;  Zhu, Tao;  Wei, Ke;  Yi, Bin
收藏  |  浏览/下载：46/0  |  提交时间：2022/12/26
Bayesian network  enhanced recovery after surgery  decision-making  gynecological tumor  machine learning  
Predicting Monthly Runoff of the Upper Yangtze River Based on Multiple Machine Learning Models 期刊论文
SUSTAINABILITY, 2022, 卷号: 14, 期号: 18, 页码: 23
作者:  Li, Xiao;  Zhang, Liping;  Zeng, Sidong;  Tang, Zhenyu;  Liu, Lina;  Zhang, Qin;  Tang, Zhengyang;  Hua, Xiaojun
收藏  |  浏览/下载：39/0  |  提交时间：2022/12/26
monthly runoff prediction  machine learning  copula entropy  stepwise regression  Upper Yangtze River  
Cross-site scripting attack detection based on a modified convolution neural network 期刊论文
FRONTIERS IN COMPUTATIONAL NEUROSCIENCE, 2022, 卷号: 16, 页码: 13
作者:  Yan, Huyong;  Feng, Li;  Yu, You;  Liao, Weiling;  Feng, Lei;  Zhang, Jingyue;  Liu, Dan;  Zou, Ying;  Liu, Chongwen;  Qu, Linfa;  Zhang, Xiaoman
收藏  |  浏览/下载：34/0  |  提交时间：2022/12/26
XSS  URL  ResNet  word vector  code injection  
Revealing Physiochemical Factors and Zooplankton Influencing Microcystis Bloom Toxicity in a Large-Shallow Lake Using Bayesian Machine Learning 期刊论文
TOXINS, 2022, 卷号: 14, 期号: 8, 页码: 16
作者:  Wang, Xiaoxiao;  Wang, Lan;  Shang, Mingsheng;  Song, Lirong;  Shan, Kun
收藏  |  浏览/下载：112/0  |  提交时间：2022/10/14
Microcystis blooms  microcystins  nutrient  zooplankton  machine learning  risk management  Lake Taihu  
A Multilayered-and-Randomized Latent Factor Model for High-Dimensional and Sparse Matrices 期刊论文
IEEE TRANSACTIONS ON BIG DATA, 2022, 卷号: 8, 期号: 3, 页码: 784-794
作者:  Yuan, Ye;  He, Qiang;  Luo, Xin;  Shang, Mingsheng
收藏  |  浏览/下载：74/0  |  提交时间：2022/08/22
Computational modeling  Sparse matrices  Big Data  Data models  Stochastic processes  Training  Software algorithms  Big data  latent factor analysis  generally multilayered structure  deep forest  multilayered extreme learning machine  randomized-learning  high-dimensional and sparse matrix  stochastic gradient descent  randomized model