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Deep Rank-Consistent Pyramid Model for Enhanced Crowd Counting
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 14
作者:
Gao, Jiaqi
;
Huang, Zhizhong
;
Lei, Yiming
;
Shan, Hongming
;
Wang, James Z.
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2024/02/22
Crowd counting
feature pyramid
ranking
semi-supervised learning
A learnable EEG channel selection method for MI-BCI using efficient channel attention
期刊论文
FRONTIERS IN NEUROSCIENCE, 2023, 卷号: 17, 页码: 13
作者:
Tong, Lina
;
Qian, Yihui
;
Peng, Liang
;
Wang, Chen
;
Hou, Zeng-Guang
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2023/12/21
brain-computer interface
motor imagery
channel selection
deep learning
attention mechanism
Class-wise boundary regression by uncertainty in temporal action detection
期刊论文
IET IMAGE PROCESSING, 2022, 页码: 9
作者:
Chen, Yunze
;
Chen, Mengjuan
;
Gu, Qingyi
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  |  
浏览/下载:29/0
  |  
提交时间:2022/09/19
A hybrid framework for improving uncertainty quantification in deep learning-based QSAR regression modeling
期刊论文
JOURNAL OF CHEMINFORMATICS, 2021, 卷号: 13, 期号: 1, 页码: 17
作者:
Wang, Dingyan
;
Yu, Jie
;
Chen, Lifan
;
Li, Xutong
;
Jiang, Hualiang
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  |  
浏览/下载:60/0
  |  
提交时间:2021/11/04
Uncertainty quantification
Quantitative structure-activity relationship
Bayesian neural network
Applicability domain
Bayesian inference
Error prediction
Artificial intelligence
Disruption prediction and model analysis using LightGBM on J-TEXT and HL-2A
期刊论文
Plasma Physics and Controlled Fusion, 2021, 卷号: 63
作者:
Zhong,Y
;
Zheng,W
;
Chen,Z Y
;
Xia,F
;
Yu,L M
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  |  
浏览/下载:21/0
  |  
提交时间:2021/06/21
disruption prediction
machine learning
LightGBM
feature importance
Emotion Knowledge Driven Video Highlight Detection
期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2021, 卷号: 23, 页码: 3999-4013
作者:
Qi, Fan
;
Yang, Xiaoshan
;
Xu, Changsheng
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  |  
浏览/下载:2/0
  |  
提交时间:2021/12/28
Visualization
Training data
Predictive models
Training
Semantics
Emotion recognition
Computational modeling
Deep ranking
knowledge graph
video highlight detection
A Deep Look into neural ranking models for information retrieval
期刊论文
INFORMATION PROCESSING & MANAGEMENT, 2020, 卷号: 57, 期号: 6, 页码: 20
作者:
Guo, Jiafeng
;
Fan, Yixing
;
Pang, Liang
;
Yang, Liu
;
Ai, Qingyao
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  |  
浏览/下载:15/0
  |  
提交时间:2021/12/01
Neural ranking model
Information retrieval
Survey
Impacts of parameter uncertainties on deep chlorophyll maximum simulation revealed by the CNOP-P approach
期刊论文
JOURNAL OF OCEANOLOGY AND LIMNOLOGY, 2020, 页码: 12
作者:
Gao Yongli
;
Mu Mu
;
Zhang Kun
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  |  
浏览/下载:6/0
  |  
提交时间:2020/09/25
deep chlorophyll maximum (DCM) simulation
parameter uncertainty
conditional nonlinear optimal perturbation related to parameters (CNOP-P)
sensitivity
Image Retargetability
期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2020, 卷号: 22, 期号: 3, 页码: 641-654
作者:
Tang, Fan
;
Dong, Weiming
;
Meng, Yiping
;
Ma, Chongyang
;
Wu, Fuzhang
收藏
  |  
浏览/下载:26/0
  |  
提交时间:2020/06/02
Visualization
Task analysis
Distortion
Measurement
Image resolution
Convolutional neural networks
Semantics
Image retargetability
visual attributes
multi-task learning
deep convolutional neural network
Trust-embedded collaborative deep generative model for social recommendation
期刊论文
JOURNAL OF SUPERCOMPUTING, 2020, 页码: 29
作者:
Deng, Xiaoyi
;
Wu, Yenchun Jim
;
Zhuang, Fuzhen
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  |  
浏览/下载:17/0
  |  
提交时间:2020/12/10
Recommender system
Deep generative model
Collaborative topic regression
Trust matrix factorization
Deep learning
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