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浏览/检索结果:
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语种:英语
资助机构:Ministry of Science and Technology of China
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Hashing Fake: Producing Adversarial Perturbation for Online Privacy Protection Against Automatic Retrieval Models
期刊论文
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2022, 页码: 11
作者:
Zhang, Xingwei
;
Zheng, Xiaolong
;
Mao, Wenji
;
Zeng, Daniel Dajun
;
Wang, Fei-Yue
收藏
  |  
浏览/下载:263/0
  |  
提交时间:2022/11/14
Perturbation methods
Semantics
Computational modeling
Codes
Task analysis
Privacy
Software
Adversarial perturbation
deep neural network (DNN)
privacy protection
semantic retrieval
Towards Human-Machine Recognition Alignment: An Adversarilly Robust Multimodal Retrieval Hashing Framework
期刊论文
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2022, 页码: 13
作者:
Zhang, Xingwei
;
Zheng, Xiaolong
;
Liu, Bin
;
Wang, Xiao
;
Mao, Wenji
;
Zeng, Daniel Dajun
;
Wang, Fei-Yue
收藏
  |  
浏览/下载:222/0
  |  
提交时间:2022/11/14
Training
Task analysis
Semantics
Perturbation methods
Feature extraction
Computational modeling
Robustness
Adversarial perturbation
adversarially robust training
deep hashing
multimodal retrieval
An Orthogonal Subspace Decomposition Method for Cross-Modal Retrieval
期刊论文
IEEE INTELLIGENT SYSTEMS, 2022, 卷号: 37, 期号: 3, 页码: 45-53
作者:
Zeng, Zhixiong
;
Xu, Nan
;
Mao, Wenji
;
Zeng, Daniel
Adobe PDF(2545Kb)
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  |  
浏览/下载:331/48
  |  
提交时间:2022/09/19
Semantics
Representation learning
Task analysis
Matrix decomposition
Automation
Interference
Intelligent systems
Cross-modal Retrieval
Representation Learning
Orthogonal Decomposition
Inductive Representation Learning on Dynamic Stock Co-Movement Graphs for Stock Predictions
期刊论文
INFORMS JOURNAL ON COMPUTING, 2022, 页码: 19
作者:
Tian, Hu
;
Zheng, Xiaolong
;
Zhao, Kang
;
Liu, Maggie Wenjing
;
Zeng, Daniel Dajun
Adobe PDF(1329Kb)
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  |  
浏览/下载:341/77
  |  
提交时间:2022/07/25
graph representation learning
deep learning
predictive models
business intelligence
Deep Neural Network Self-Distillation Exploiting Data Representation Invariance
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 卷号: 33, 期号: 1, 页码: 257-269
作者:
Xu, Ting-Bing
;
Liu, Cheng-Lin
收藏
  |  
浏览/下载:206/0
  |  
提交时间:2022/02/16
Training
Nonlinear distortion
Data models
Neural networks
Knowledge engineering
Network architecture
Generalization error
network compression
representation invariance
self-distillation (SD)
Detecting Product Adoption Intentions via Multiview Deep Learning
期刊论文
INFORMS JOURNAL ON COMPUTING, 2021, 页码: 17
作者:
Zhang, Zhu
;
Wei, Xuan
;
Zheng, Xiaolong
;
Li, Qiudan
;
Zeng, Daniel Dajun
收藏
  |  
浏览/下载:244/0
  |  
提交时间:2021/12/28
web mining
business intelligence
intention detection
deep learning
social media analytics
Deep learning radiomics of dual-energy computed tomography for predicting lymph node metastases of pancreatic ductal adenocarcinoma
期刊论文
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2021, 页码: 13
作者:
An, Chao
;
Li, Dongyang
;
Li, Sheng
;
Li, Wangzhong
;
Tong, Tong
;
Liu, Lizhi
;
Jiang, Dongping
;
Jiang, Linling
;
Ruan, Guangying
;
Hai, Ning
;
Fu, Yan
;
Wang, Kun
;
Zhuo, Shuiqing
;
Tian, Jie
Adobe PDF(2925Kb)
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收藏
  |  
浏览/下载:349/69
  |  
提交时间:2021/12/28
Lymph node metastases
Pancreatic ductal adenocarcinoma
Deep learning
Dual-energy computed tomography
Prognosis
Application of deep learning to predict underestimation in ductal carcinoma in situ of the breast with ultrasound
期刊论文
ANNALS OF TRANSLATIONAL MEDICINE, 2021, 卷号: 9, 期号: 4, 页码: 9
作者:
Qian, Lang
;
Lv, Zhikun
;
Zhang, Kai
;
Wang, Kun
;
Zhu, Qian
;
Zhou, Shichong
;
Chang, Cai
;
Tian, Jie
Adobe PDF(743Kb)
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收藏
  |  
浏览/下载:356/72
  |  
提交时间:2021/04/21
Artificial intelligence (AI)
ductal carcinoma in situ (DCIS)
core needle biopsy (CNB)
prediction of upstaging
Domain Transform Network for Photoacoustic Tomography from Limited-view and Sparsely Sampled Data
期刊论文
Photoacoustics, 2020, 卷号: 19, 期号: 19, 页码: 100190
作者:
Tong Tong
;
Wenhui Huang
;
Kun Wang
;
Zicong He
;
Lin Yin
;
Xin Yang
;
Shuixing Zhang
;
Jie Tian
Adobe PDF(9199Kb)
  |  
收藏
  |  
浏览/下载:230/60
  |  
提交时间:2020/11/02
Deep learning
Photoacoustic tomography
Domain transformation
Medical image reconstruction
Radiomics in liver diseases: Current progress and future opportunities
期刊论文
LIVER INTERNATIONAL, 2020, 卷号: 40, 期号: 9, 页码: 2050-2063
作者:
Wei, Jingwei
;
Jiang, Hanyu
;
Gu, Dongsheng
;
Niu, Meng
;
Fu, Fangfang
;
Han, Yuqi
;
Song, Bin
;
Tian, Jie
Adobe PDF(872Kb)
  |  
收藏
  |  
浏览/下载:501/136
  |  
提交时间:2020/08/03
data science
liver diseases
machine learning
precision medicine
radiologic technology