中文版 | English

在结果中检索

CASIA OpenIR

浏览/检索结果: 共13条，第1-10条 帮助

限定条件    
已选(0)清除 条数/页：   排序方式：
Information bottleneck based knowledge selection for commonsense reasoning 期刊论文
Information Sciences, 2024, 卷号: 660, 页码: 120134
作者:  Zhao Yang;  Yuanzhe Zhang;  Pengfei Cao;  Cao Liu;  Jiansong Chen;  Jun Zhao;  Kang Liu
Adobe PDF(1069Kb)  |  收藏  |  浏览/下载：54/18  |  提交时间：2024/05/30
Commonsense reasoning  Knowledge selection  Information bottleneck  KG-augmented model  
Towards Unified Multi-Domain Machine Translation With Mixture of Domain Experts 期刊论文
IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING, 2023, 卷号: 31, 页码: 3488-3498
作者:  Lu, Jinliang;  Zhang, Jiajun
Adobe PDF(2882Kb)  |  收藏  |  浏览/下载：161/14  |  提交时间：2023/12/21
Machine Translation  Multi-domain  Mixture-of-expert  
Structure-aware siamese graph neural networks for encounter-level patient similarity learning 期刊论文
JOURNAL OF BIOMEDICAL INFORMATICS, 2022, 卷号: 127, 页码: 13
作者:  Gu, Yifan;  Yang, Xuebing;  Tian, Lei;  Yang, Hongyu;  Lv, Jicheng;  Yang, Chao;  Wang, Jinwei;  Xi, Jianing;  Kong, Guilan;  Zhang, Wensheng
收藏  |  浏览/下载：280/0  |  提交时间：2022/06/10
Encounter-Level Patient Similarity  Representation Learning  Siamese Networks  Graph Neural Networks  
From general to specific: Online updating for blind super-resolution 期刊论文
Pattern Recognition, 2022, 卷号: 127, 期号: 2022, 页码: 108613
作者:  Li, Shang;  Zhang, Guixuan;  Luo, Zhengxiong;  Liu, Jie;  Zeng, Zhi;  Zhang, Shuwu
Adobe PDF(4880Kb)  |  收藏  |  浏览/下载：343/97  |  提交时间：2022/04/06
Blind super-resolution  Online updating  Internal learning  External learning  
Progressive polarization based reflection removal via realistic training data generation 期刊论文
PATTERN RECOGNITION, 2022, 卷号: 124, 页码: 13
作者:  Pang, Youxin;  Yuan, Mengke;  Fu, Qiang;  Ren, Peiran;  Yan, Dong-Ming
Adobe PDF(4985Kb)  |  收藏  |  浏览/下载：347/48  |  提交时间：2022/02/16
Deep learning  Reflection removal  Polarization  Progressive network  Convolutional neural networks  
SADRL: Merging human experience with machine intelligence via supervised assisted deep reinforcement learning 期刊论文
NEUROCOMPUTING, 2022, 卷号: 467, 页码: 300-309
作者:  Li, Xiaoshuang;  Wang, Xiao;  Zheng, Xinhu;  Jin, Junchen;  Huang, Yanhao;  Zhang, Jun Jason;  Wang, Fei-Yue
Adobe PDF(1244Kb)  |  收藏  |  浏览/下载：345/77  |  提交时间：2021/12/28
Deep reinforcement learning  Behavioral cloning  Dynamic demonstration  Double DQN  
A Novel Adaptive Parameter Search Elastic Net Method for Fluorescent Molecular Tomography 期刊论文
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2021, 卷号: 40, 期号: 5, 页码: 1484-1498
作者:  Wang, Hanfan;  Bian, Chang;  Kong, Lingxin;  An, Yu;  Du, Yang;  Tian, Jie
Adobe PDF(8176Kb)  |  收藏  |  浏览/下载：450/74  |  提交时间：2021/06/15
Image reconstruction  Fluorescence  Probes  Mathematical model  Photonics  Molecular imaging  Biological tissues  Fluorescence molecular tomography  adaptive parameter search  elastic net  
Diagnostic Classification for Human Autism and Obsessive-Compulsive Disorder Based on Machine Learning From a Primate Genetic Model 期刊论文
AMERICAN JOURNAL OF PSYCHIATRY, 2021, 卷号: 178, 期号: 1, 页码: 65-76
作者:  Zhan, Yafeng;  Wei, Jianze;  Liang, Jian;  Xu, Xiu;  He, Ran;  Robbins, Trevor W.;  Wang, Zheng
Adobe PDF(6036Kb)  |  收藏  |  浏览/下载：431/114  |  提交时间：2021/03/01
Self-centralized jointly sparse maximum margin criterion for robust dimensionality reduction 期刊论文
KNOWLEDGE-BASED SYSTEMS, 2020, 卷号: 206, 页码: 15
作者:  Hu, Liangchen;  Xu, Jingke;  Tian, Lei;  Zhang, Wensheng
收藏  |  浏览/下载：212/0  |  提交时间：2021/01/07
Maximum margin criterion  Robustness  Adaptive centroid  L-1,L-2-norm sparsity  Dimensionality reduction  
Spatial-Temporal Dependency Modeling and Network Hub Detection for Functional MRI Analysis via Convolutional-Recurrent Network 期刊论文
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2020, 卷号: 67, 期号: 8, 页码: 2241-2252
作者:  Wang, Mingliang;  Lian, Chunfeng;  Yao, Dongren;  Zhang, Daoqiang;  Liu, Mingxia;  Shen, Dinggang
Adobe PDF(5624Kb)  |  收藏  |  浏览/下载：333/68  |  提交时间：2020/08/24
Spatial-temporal dependency  neural network  Alzheimer's disease  hub detection  resting-state functional MRI