中文版 | English

在结果中检索

CSpace

浏览/检索结果: 共100条，第1-10条 帮助

已选(0)清除 条数/页：   排序方式：
Improving structure-based protein-ligand affinity prediction by graph representation learning and ensemble learning 期刊论文
PLOS ONE, 2024, 卷号: 19, 期号: 1, 页码: 21
作者:  Guo, Jia
收藏  |  浏览/下载：192/0  |  提交时间：2024/04/07
Neulft: A Novel Approach to Nonlinear Canonical Polyadic Decomposition on High-Dimensional Incomplete Tensors 期刊论文
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2023, 卷号: 35, 期号: 6, 页码: 6148-6166
作者:  Luo, Xin;  Wu, Hao;  Li, Zechao
收藏  |  浏览/下载：13/0  |  提交时间：2023/12/25
Tensors  Data models  Computational modeling  Adaptation models  Training  Artificial neural networks  Neurons  Nonlinear tensor model  Big Data  high-dimensional and incomplete tensor  latent factorization of tensors  hyper-parameter adaptation  
Facial Expression Recognition Methods in the Wild Based on Fusion Feature of Attention Mechanism and LBP 期刊论文
SENSORS, 2023, 卷号: 23, 期号: 9, 页码: 19
作者:  Liao, Jun;  Lin, Yuanchang;  Ma, Tengyun;  He, Songxiying;  Liu, Xiaofang;  He, Guotian
收藏  |  浏览/下载：10/0  |  提交时间：2023/12/25
deep learning  facial expression recognition  attention mechanism  LBP features  
Non-communicating Decentralized Multi-robot Collision Avoidance in Grid Graph Workspace based on Dueling Double Deep Q-Network 期刊论文
Journal of Physics: Conference Series, 2023, 卷号: 2456, 期号: 1
作者:  Liu,Yuanxin;  Tian,Delei;  Zheng,Bin
收藏  |  浏览/下载：50/0  |  提交时间：2023/08/18
Constraint-Induced Symmetric Nonnegative Matrix Factorization for Accurate Community Detection 期刊论文
INFORMATION FUSION, 2023, 卷号: 89, 页码: 588-602
作者:  Liu, Zhigang;  Luo, Xin;  Wang, Zidong;  Liu, Xiaohui
收藏  |  浏览/下载：86/0  |  提交时间：2022/12/26
Undirected Network  Social Network  Information Fusion  Network Representation Learning  Community Detection  Nonnegative Matrix Factorization  Symmetry -regularization  Multiple Constraints  
Hierarchical Particle Swarm Optimization-incorporated Latent Factor Analysis for Large-Scale Incomplete Matrices 期刊论文
IEEE TRANSACTIONS ON BIG DATA, 2022, 卷号: 8, 期号: 6, 页码: 1524-1536
作者:  Chen, Jia;  Luo, Xin;  Zhou, Mengchu
收藏  |  浏览/下载：63/0  |  提交时间：2022/12/26
Adaptation models  Optimization  Convergence  Computational modeling  Sparse matrices  Particle swarm optimization  Big Data  Big data  latent factor analysis  particle swarm optimization  high-dimensional and sparse matrix  large-scale incomplete data  missing data estimation  industrial application  
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：49/0  |  提交时间：2022/12/26
Bayesian network  enhanced recovery after surgery  decision-making  gynecological tumor  machine learning  
The Effects of Cortical Reorganization and Applications of Functional Near-Infrared Spectroscopy in Deaf People and Cochlear Implant Users 期刊论文
BRAIN SCIENCES, 2022, 卷号: 12, 期号: 9, 页码: 20
作者:  Zhou, Xiaoqing;  Feng, Menglong;  Hu, Yaqin;  Zhang, Chanyuan;  Zhang, Qingling;  Luo, Xiaoqin;  Yuan, Wei
收藏  |  浏览/下载：37/0  |  提交时间：2022/12/26
cochlear implant  speech perception  cross-modal reorganization  functional near-infrared spectroscopy  
Joint hyperbolic and Euclidean geometry contrastive graph neural networks 期刊论文
INFORMATION SCIENCES, 2022, 卷号: 609, 页码: 799-815
作者:  Xu, Xiaoyu;  Pang, Guansong;  Wu, Di;  Shang, Mingsheng
收藏  |  浏览/下载：99/0  |  提交时间：2022/10/14
Graph neural networks  Hyperbolic embedding  Contrastive learning  Graph representation learning  
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：75/0  |  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