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Constrained Multi-Objective Optimization With Deep Reinforcement Learning Assisted Operator Selection 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 919-931
作者:  Fei Ming;  Wenyin Gong;  Ling Wang;  Yaochu Jin
Adobe PDF(2091Kb)  |  收藏  |  浏览/下载：21/6  |  提交时间：2024/03/18
Constrained multi-objective optimization  deep Q-learning  deep reinforcement learning (DRL)  evolutionary algorithms  evolutionary operator selection  
Tumor Mutation Burden-Related Histopathologic Features for Predicting Overall Survival in Gliomas Using Graph Deep Learning 期刊论文
AMERICAN JOURNAL OF PATHOLOGY, 2023, 卷号: 193, 期号: 12, 页码: 2111-2121
作者:  Sun, Caixia;  Luo, Tao;  Liu, Zhenyu;  Ge, Jia;  Shao, Lizhi;  Liu, Xiangyu;  Li, Bao;  Zhang, Song;  Qiu, Qi;  Wei, Wei;  Wang, Shuo;  Bian, Xiu-Wu;  Tian, Jie
收藏  |  浏览/下载：61/0  |  提交时间：2024/02/22
Improving prognosis and assessing adjuvant chemotherapy benefit in locally advanced rectal cancer with deep learning for MRI: A retrospective, multi-cohort study 期刊论文
RADIOTHERAPY AND ONCOLOGY, 2023, 卷号: 188, 页码: 9
作者:  Zhang, Song;  Cai, Guoxiang;  Xie, Peiyi;  Sun, Caixia;  Li, Bao;  Dai, Weixing;  Liu, Xiangyu;  Qiu, Qi;  Du, Yang;  Li, Zhenhui;  Liu, Zhenyu;  Tian, Jie
收藏  |  浏览/下载：108/0  |  提交时间：2023/11/15
Locally advanced rectal cancer  Magnetic resonance imaging  Prognosis  Adjuvant chemotherapy  Deep learning  
Deep learning-based radiomics model can predict extranodal soft tissue metastasis in gastric cancer 期刊论文
MEDICAL PHYSICS, 2023, 页码: 11
作者:  Liu, Shengyuan;  Deng, Jingyu;  Dong, Di;  Fang, Mengjie;  Ye, Zhaoxiang;  Hu, Yanfeng;  Li, Hailin;  Zhong, Lianzhen;  Cao, Runnan;  Zhao, Xun;  Shang, Wenting;  Li, Guoxin;  Liang, Han;  Tian, Jie
收藏  |  浏览/下载：94/0  |  提交时间：2023/11/17
deep learning  extranodal soft tissue metastasis  gastric cancer  radiomics  
Enhanced glypican-3-targeted identification of hepatocellular carcinoma with liver fibrosis by pre-degrading excess fibrotic collagen 期刊论文
Acta Biomaterialia, 2023, 卷号: 158, 页码: 435- 448
作者:  Zhuo, Jiaming;  Wang, Yueqi;  Hui, Hui;  Li, Changjian;  Yang, Junying;  Zhang, Peng;  Fang, Chihua;  Tian, Jie
Adobe PDF(4667Kb)  |  收藏  |  浏览/下载：147/73  |  提交时间：2023/05/04
Distinct spatiotemporal subtypes of amyloid deposition are associated with diverging disease profiles in cognitively normal and mild cognitive impairment individuals 期刊论文
TRANSLATIONAL PSYCHIATRY, 2023, 卷号: 13, 期号: 1, 页码: 35
作者:  Sun, Yuqing;  Zhao, Yuxin;  Hu, Ke;  Wang, Meng;  Liu, Yong;  Liu, Bing
Adobe PDF(2656Kb)  |  收藏  |  浏览/下载：117/30  |  提交时间：2023/05/31
Multiple Elite Individual Guided Piecewise Search-Based Differential Evolution 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 1, 页码: 135-158
作者:  Shubham Gupta;  Shitu Singh;  Rong Su;  Shangce Gao;  Jagdish Chand Bansal
Adobe PDF(3042Kb)  |  收藏  |  浏览/下载：357/236  |  提交时间：2023/01/03
Control parameters  differential Evolution  metaheuristic algorithms  mutation operator  
A Length-Adaptive Non-Dominated Sorting Genetic Algorithm for Bi-Objective High-Dimensional Feature Selection 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 9, 页码: 1834-1844
作者:  Yanlu Gong;  Junhai Zhou;  Quanwang Wu;  MengChu Zhou;  Junhao Wen
Adobe PDF(1308Kb)  |  收藏  |  浏览/下载：74/39  |  提交时间：2023/08/10
Bi-objective optimization  feature selection (FS)  genetic algorithm  high-dimensional data  length-adaptive  
Can Digital Intelligence and Cyber-Physical-Social Systems Achieve Global Food Security and Sustainability? 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 11, 页码: 2070-2080
作者:  Yanfen Wang;  Mengzhen Kang;  Yali Liu;  Juanjuan Li;  Kai Xue;  Xiujuan Wang;  Jianqing Du;  Yonglin Tian;  Qinghua Ni;  Fei-Yue Wang
Adobe PDF(9632Kb)  |  收藏  |  浏览/下载：185/107  |  提交时间：2023/09/22
Carbon-water balance  decision-support  digital intelligence (DI)  foundation models  planning  
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：0/0  |  提交时间：2024/04/23
Machine learning, lung cancer, radiomics, medical image, clinical application