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Machine Learning in Lung Cancer Radiomics 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 6, 页码: 753-782
作者:  Jiaqi Li;  Zhuofeng Li;  Lei Wei;  Xuegong Zhang
Adobe PDF(7595Kb)  |  收藏  |  浏览/下载：8/2  |  提交时间：2024/04/23
Machine learning, lung cancer, radiomics, medical image, clinical application  
FedFV: A Personalized Federated Learning Framework for Finger Vein Authentication 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 5, 页码: 683-696
作者:  Feng-Zhao Lian;  Jun-Duan Huang;  Ji-Xin Liu;   Guang Chen;  Jun-Hong Zhao;  Wen-Xiong Kang
Adobe PDF(1789Kb)  |  收藏  |  浏览/下载：5/1  |  提交时间：2024/04/23
Finger vein, personalized federated learning, privacy protection, biometric, authentication  
Machine Learning Methods in Solving the Boolean Satisfiability Problem 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 5, 页码: 640-655
作者:  Wenxuan Guo;  Hui-Ling Zhen;  Xijun Li;  Wanqian Luo;  Mingxuan Yuan;  Yaohui Jin;  Junchi Yan
Adobe PDF(1518Kb)  |  收藏  |  浏览/下载：12/5  |  提交时间：2024/04/23
Machine learning (ML), Boolean satisfiability (SAT), deep learning, graph neural networks (GNNs), combinatorial optimization  
Federated Learning on Multimodal Data: A Comprehensive Survey 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 4, 页码: 539-553
作者:  Yi-Ming Lin;   Yuan Gao;  Mao-Guo Gong;  Si-Jia Zhang;  Yuan-Qiao Zhang;  Zhi-Yuan Li
Adobe PDF(1253Kb)  |  收藏  |  浏览/下载：11/5  |  提交时间：2024/04/23
Federated learning, multimodal learning, heterogeneous data, edge computing, collaborative learning  
A Review of Predictive and Contrastive Self-supervised Learning for Medical Images 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 4, 页码: 483-513
作者:  Wei-Chien Wang;  Euijoon Ahn;  Dagan Feng;  Jinman Kim
Adobe PDF(2691Kb)  |  收藏  |  浏览/下载：11/5  |  提交时间：2024/04/23
Self-supervised learning (SSL), contrastive learning, deep learning, medical image analysis, computer vision  
Large-scale Multi-modal Pre-trained Models: A Comprehensive Survey 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 4, 页码: 447-482
作者:  Xiao Wang;  Guangyao Chen;  Guangwu Qian;  Pengcheng Gao;  Xiao-Yong Wei;  Yaowei Wang;  Yonghong Tian;  Wen Gao
Adobe PDF(3540Kb)  |  收藏  |  浏览/下载：12/3  |  提交时间：2024/04/23
Multi-modal (MM), pre-trained model (PTM), information fusion, representation learning, deep learning  
Deep Learning-based Moving Object Segmentation: Recent Progress and Research Prospects 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 3, 页码: 335-369
作者:  Rui Jiang;  Ruixiang Zhu;  Hu Su;  Yinlin Li;  Yuan Xie;  Wei Zou
Adobe PDF(9061Kb)  |  收藏  |  浏览/下载：3/0  |  提交时间：2024/04/23
Moving object segmentation (MOS), change detection, background subtraction, deep learning (DL), video understanding  
Pre-training in Medical Data: A Survey 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 2, 页码: 147-149
作者:  Yixuan Qiu;  Feng Lin;  Weitong Chen;  Miao Xu
Adobe PDF(2262Kb)  |  收藏  |  浏览/下载：8/4  |  提交时间：2024/04/23
Medical data  pre-training  transfer learning  self-supervised learning  medical image data  electrocardiograms (ECG) data  
TENET: Beyond Pseudo-Labeling for Semi-supervised Few-shot Learning 期刊论文
Machine Intelligence Research, 2023, 页码: 0
作者:  Ma CC(马成丞);  Dong WM(董未名);  Xu CS(徐常胜)
Adobe PDF(741Kb)  |  收藏  |  浏览/下载：99/23  |  提交时间：2024/01/29
Semi-supervised few-shot learning  few-shot learning  pseudo-labeling  linear regression  low-rank reconstruction