CASIA OpenIR

浏览/检索结果: 共5条,第1-5条 帮助

限定条件    
已选(0)清除 条数/页:   排序方式:
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:48/10  |  提交时间:2024/04/23
Machine learning, lung cancer, radiomics, medical image, clinical application  
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:66/24  |  提交时间:2024/04/23
Machine learning (ML), Boolean satisfiability (SAT), deep learning, graph neural networks (GNNs), combinatorial optimization  
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:43/6  |  提交时间:2024/04/23
Moving object segmentation (MOS), change detection, background subtraction, deep learning (DL), video understanding  
Red Alarm for Pre-trained Models: Universal Vulnerability to Neuron-level Backdoor Attacks 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 2, 页码: 180-193
作者:  Zhengyan Zhang;  Guangxuan Xiao;  Yongwei Li;  Tian Lv;  Fanchao Qi;  Zhiyuan Liu;  Yasheng Wang;  Xin Jiang;  Maosong Sun
Adobe PDF(1649Kb)  |  收藏  |  浏览/下载:48/14  |  提交时间:2024/04/23
Pre-trained language models  backdoor attacks  transformers  natural language processing (NLP)  computer vision (CV)  
Swarm Intelligence Research: From Bio-inspired Single-population Swarm Intelligence to Humanmachine Hybrid Swarm Intelligence 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 1, 页码: 121-144
作者:  Guo-Yin Wang;  Dong-Dong Cheng;  De-You Xia;  Hai-Huan Jiang
Adobe PDF(2487Kb)  |  收藏  |  浏览/下载:43/12  |  提交时间:2024/04/23
Swarm intelligence  single-population  multi-population  human-machine hybrid  multi-granularity