中文版 | English

在结果中检索

CASIA OpenIR

浏览/检索结果: 共18条，第1-10条 帮助

限定条件    
已选(0)清除 条数/页：   排序方式：
A multi-view co-training network for semi-supervised medical image-based prognostic prediction 期刊论文
NEURAL NETWORKS, 2023, 卷号: 164, 页码: 455-463
作者:  Li, Hailin;  Wang, Siwen;  Liu, Bo;  Fang, Mengjie;  Cao, Runnan;  He, Bingxi;  Liu, Shengyuan;  Hu, Chaoen;  Dong, Di;  Wang, Ximing;  Wang, Hexiang;  Tian, Jie
收藏  |  浏览/下载：142/0  |  提交时间：2023/11/17
Deep neural network  Medical image analysis  Prognostic prediction  Semi-supervised learning  
Cognition-Driven Multiagent Policy Learning Framework for Promoting Cooperation 期刊论文
IEEE TRANSACTIONS ON GAMES, 2023, 卷号: 15, 期号: 3, 页码: 388-398
作者:  Pu, Zhiqiang;  Wang, Huimu;  Liu, Boyin;  Yi, Jianqiang
收藏  |  浏览/下载：77/0  |  提交时间：2023/11/16
Cognition difference  coupling cognition network (CCN)  deep reinforcement learning (DRL)  graph convolutional network  multiagent systems (MASs)  
CRule: Category-Aware Symbolic Multihop Reasoning on Knowledge Graphs 期刊论文
IEEE INTELLIGENT SYSTEMS, 2023, 卷号: 38, 期号: 5, 页码: 56-64
作者:  Wang, Zikang;  Li, Linjing;  Li, Jinlin;  Zhao, Pengfei;  Zeng, Daniel
收藏  |  浏览/下载：105/0  |  提交时间：2023/11/15
Cognition  Intelligent systems  Spread spectrum communication  Data mining  Computational modeling  Complexity theory  Knowledge graphs  
"Be a Lighting Programmer": Supporting Children Collaborative Learning through Tangible Programming System 期刊论文
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION, 2023, 页码: 19
作者:  Wang, Xinyuan;  Xing, Qian;  Jin, Qiao;  Wang, Danli
收藏  |  浏览/下载：210/0  |  提交时间：2023/03/20
Optimization-Based Post-Training Quantization With Bit-Split and Stitching 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 2, 页码: 2119-2135
作者:  Wang, Peisong;  Chen, Weihan;  He, Xiangyu;  Chen, Qiang;  Liu, Qingshan;  Cheng, Jian
Adobe PDF(921Kb)  |  收藏  |  浏览/下载：175/50  |  提交时间：2023/03/20
Deep neural networks  compression  quantization  post-training quantization  
Artificial intelligence in gastric cancer: applications and challenges 期刊论文
GASTROENTEROLOGY REPORT, 2022, 卷号: 10, 页码: 16
作者:  Cao, Runnan;  Tang, Lei;  Fang, Mengjie;  Zhong, Lianzhen;  Wang, Siwen;  Gong, Lixin;  Li, Jiazheng;  Dong, Di;  Tian, Jie
收藏  |  浏览/下载：204/0  |  提交时间：2023/01/09
gastric cancer  artificial intelligence  radiomics  endoscopy  computed tomography  pathology  
Toward Accurate Binarized Neural Networks With Sparsity for Mobile Application 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 13
作者:  Wang, Peisong;  He, Xiangyu;  Cheng, Jian
收藏  |  浏览/下载：233/0  |  提交时间：2022/07/25
Quantization (signal)  Deep learning  Convolution  Training  Biological neural networks  Optimization  Neurons  Acceleration  binarized neural networks (BNNs)  compression  fixed-point quantization  
Hierarchical Multihop Reasoning on Knowledge Graphs 期刊论文
IEEE INTELLIGENT SYSTEMS, 2022, 卷号: 37, 期号: 1, 页码: 71-78
作者:  Wang, Zikang;  Li, Linjing;  Zeng, Daniel Dajun
Adobe PDF(1656Kb)  |  收藏  |  浏览/下载：306/80  |  提交时间：2022/07/25
Deep learning for predicting immunotherapeutic efficacy in advanced non-small cell lung cancer patients: a retrospective study combining progression-free survival risk and overall survival risk 期刊论文
TRANSLATIONAL LUNG CANCER RESEARCH, 2022, 页码: 23
作者:  He, Bing-Xi;  Zhong, Yi-Fan;  Zhu, Yong-Bei;  Deng, Jia-Jun;  Fang, Meng-Jie;  She, Yun-Lang;  Wang, Ting-Ting;  Yang, Yang;  Sun, Xi-Wen;  Belluomini, Lorenzo;  Watanabe, Satoshi;  Dong, Di;  Tian, Jie;  Xie, Dong
Adobe PDF(3742Kb)  |  收藏  |  浏览/下载：328/39  |  提交时间：2022/06/10
Tumor biomarkers  immunotherapy  lung neoplasms  programmed cell death 1 receptor (PD-1 receptor)  biostatistics  
Attention Enhanced Reinforcement Learning for Multi agent Cooperation 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 15
作者:  Pu, Zhiqiang;  Wang, Huimu;  Liu, Zhen;  Yi, Jianqiang;  Wu, Shiguang
Adobe PDF(2967Kb)  |  收藏  |  浏览/下载：317/45  |  提交时间：2022/06/06
Training  Reinforcement learning  Games  Scalability  Task analysis  Standards  Optimization  Attention mechanism  deep reinforcement learning (DRL)  graph convolutional networks  multi agent systems