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Learning Markets: An AI Collaboration Framework Based on Blockchain and Smart Contracts 期刊论文
IEEE INTERNET OF THINGS JOURNAL, 2022, 卷号: 9, 期号: 16, 页码: 14273-14286
作者:  Ouyang, Liwei;  Yuan, Yong;  Wang, Fei-Yue
Adobe PDF(2684Kb)  |  收藏  |  浏览/下载：478/41  |  提交时间：2022/09/19
Collaboration  Artificial intelligence  Data models  Computational modeling  Smart contracts  Blockchain  Distributed databases  Artificial intelligence (AI) collaboration  blockchain  ensemble learning  federated learning (FL)  smart contracts  
Mass Image Synthesis in Mammogram with Contextual Information Based on GANs 期刊论文
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2021, 卷号: 202, 期号: 2021, 页码: 9
作者:  Shen, Tianyu;  Hao, Kunkun;  Gou, Chao;  Wang, Fei-Yue
Adobe PDF(2029Kb)  |  收藏  |  浏览/下载：350/60  |  提交时间：2021/05/17
medical image synthesis  generative adversarial network  mammogram  mass detection  
Parallel distance: A new paradigm of measurement for parallel driving 期刊论文
IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2020, 卷号: 7, 期号: 4, 页码: 1169-1178
作者:  Liu, Teng;  Wang, Hong;  Tian, Bin;  Ai, Yunfeng;  Chen, Long
Adobe PDF(28048Kb)  |  收藏  |  浏览/下载：241/1  |  提交时间：2020/08/03
Artificial and physical system  parallel distance  parallel driving 3.0  parallel system  rotational and accelerator signal  
Learning from adversarial medical images for X-ray breast mass segmentation 期刊论文
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2019, 卷号: 180, 期号: 2019, 页码: 13
作者:  Shen, Tianyu;  Gou, Chao;  Wang, Fei-Yue;  He, Zilong;  Chen, Weiguo
Adobe PDF(4491Kb)  |  收藏  |  浏览/下载：378/48  |  提交时间：2019/12/16
Medical image synthesis  Generative adversarial network  X-ray breast mass  Lesion segmentation  
Artificial intelligence test: a case study of intelligent vehicles 期刊论文
Artificial Intelligence Review, 2018, 卷号: 50, 期号: 3, 页码: 441–465
作者:  Li Li;  Yilun Lin;  Nan-Ning Zheng;  Fei-Yue Wang;  Yuehu Liu;  Dongpu Cao;  Kunfeng Wang;  Wu-Ling Huang
浏览  |  Adobe PDF(1876Kb)  |  收藏  |  浏览/下载：492/181  |  提交时间：2019/05/07
Artificial Intelligence  Intelligence Test  Turing Test  Simulation Test