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Multi-level sparse network lasso: Locally sparse learning with flexible sample clusters
期刊论文
NEUROCOMPUTING, 2025, 卷号: 635
作者:
Fei, Luhuan
;
Wang, Xinyi
;
Wang, Jiankun
;
Sun, Lu
;
Zhang, Yuyao
Adobe PDF(3646Kb)
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收藏
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浏览/下载:35/1
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提交时间:2025/03/28
Adversarial machine learning
Contrastive Learning
Clusterings
Features selection
Group level
Multi-level network lasso
Multi-level networks
Multilevels
Sample clustering
Sparse learning
Sparse network
Traditional learning
Robust multi-view subspace clustering with missing data by aligning nonlinear manifolds
期刊论文
PATTERN RECOGNITION, 2025, 卷号: 161
作者:
Mao, Zhan-Wang
;
Sun, Lu
;
Wu, Youlong
Adobe PDF(1513Kb)
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浏览/下载:140/3
|
提交时间:2025/01/10
Adversarial machine learning
Contrastive Learning
Data assimilation
Spatio-temporal data
High-dimensional
Higher-dimensional
Incomplete view
Missing data
Multi-view learning
Multi-views
Multiple views
Nonlinear manifolds
Subspace clustering
Physics-based generative adversarial network for real-time acoustic holography
期刊论文
ULTRASONICS, 2025, 卷号: 149
作者:
Lu, Qingyi
;
Zhong, Chengxi
;
Su, Hu
;
Liu, Song
Adobe PDF(6195Kb)
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浏览/下载:64/2
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提交时间:2025/02/28
Holograms
Inverse problems
Sound recording
Adversarial networks
Deep learning
Higher dimensions
Information loss
Phase profile
Phase-only
Phase-only hologram
Physics-based
Real- time
Two-dimensional
Predicting infant brain connectivity with federated multi-trajectory GNNs using scarce data
期刊论文
MEDICAL IMAGE ANALYSIS, 2025, 卷号: 102
作者:
Pistos, Michalis
;
Li, Gang
;
Lin, Weili
;
Shen, Dinggang
;
Rekik, Islem
Adobe PDF(5127Kb)
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收藏
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浏览/下载:25/1
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提交时间:2025/04/11
Adversarial machine learning
Contrastive Learning
Graph neural networks
Prediction models
Brain connectivity
Connectomics
Data scarcity
Graph neural networks
Learning frameworks
Longitudinal connectomic dataset
Multi-modal
Multimodal brain graph evolution prediction
Single-baseline
Trajectory prediction
无权访问的条目
会议论文
作者:
Liu, Qianyu(刘芊渝)
;
Li, Xinran(李欣然)
;
Du, Xiaocong(杜晓聪)
;
Li, Quan(李权)
Adobe PDF(6100Kb)
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收藏
|
浏览/下载:24/5
|
提交时间:2025/03/12
DropNaE: Alleviating irregularity for large-scale graph representation learning
期刊论文
NEURAL NETWORKS, 2025, 卷号: 183
作者:
Liu, Xin
;
Xiong, Xunbin
;
Yan, Mingyu
;
Xue, Runzhen
;
Pan, Shirui
Adobe PDF(1802Kb)
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收藏
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浏览/下载:118/2
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提交时间:2024/12/27
Adversarial machine learning
Federated learning
Graph algorithms
Knowledge graph
Algorithm on graph representation learning
Efficient large-scale graph representation learning
Graph neural networks
Graph representation
Irregularity
Large-scales
Neural networks trainings
Real-world graphs
Real-world scenario
Progressive self-supervised learning: A pre-training method for crowd counting
期刊论文
PATTERN RECOGNITION LETTERS, 2025, 卷号: 188, 页码: 148-154
作者:
Gu, Yao
;
Zheng, Zhe
;
Wu, Yingna
;
Xie, Guangping
;
Ni, Na
Adobe PDF(2000Kb)
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收藏
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浏览/下载:111/2
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提交时间:2025/02/12
Adversarial machine learning
Contrastive Learning
Federated learning
Crowd counting
Dataset construction
Feature representation
Images classification
Learning methods
Learning process
Modeling performance
Pre-training
Supervised learning approaches
Training methods
Deep-Learning Generated Synthetic Material Decomposition Images Based on Single-Energy CT to Differentiate Intracranial Hemorrhage and Contrast Staining Within 24 Hours After Endovascular Thrombectomy
期刊论文
CNS NEUROSCIENCE & THERAPEUTICS, 2025, 卷号: 31, 期号: 1
作者:
Wang, Tianyu
;
Jiang, Caiwen
;
Ding, Weili
;
Chen, Qing
;
Shen, Dinggang
Adobe PDF(1238Kb)
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收藏
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浏览/下载:44/2
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提交时间:2025/02/12
deep learning
dual-energy CT
endovascular thrombectomy
generative adversarial networks
hemorrhagic transformation
material decomposition images
postinterventional cerebral hyperdensity
stroke
Performance Evaluation of Reddit Comments Using Machine Learning and Natural Language Processing Methods in Sentiment Analysis
会议论文
MECHANISMS AND MACHINE SCIENCE, Singapore, Singapore, August 3, 2024 - August 6, 2024
作者:
Zhang, Xiaoxia
;
Qi, Xiuyuan
;
Teng, Zixin
收藏
|
浏览/下载:51/0
|
提交时间:2025/02/12
Adversarial machine learning
Contrastive Learning
Natural language processing systems
Fine grained
Language processing
Learning languages
Machine-learning
Natural language processing
Natural languages
Performances evaluation
Reddit
RoBERTa
Sentiment analysis
A Progressive Single-Modality to Multi-modality Classification Framework for Alzheimer’s Disease Sub-type Diagnosis
会议论文
LECTURE NOTES IN COMPUTER SCIENCE (INCLUDING SUBSERIES LECTURE NOTES IN ARTIFICIAL INTELLIGENCE AND LECTURE NOTES IN BIOINFORMATICS), Marrakesh, Morocco, October 10, 2024 - October 10, 2024
作者:
Liu, Yuxiao
;
Liu, Mianxin
;
Zhang, Yuanwang
;
Sun, Kaicong
;
Shen, Dinggang
收藏
|
浏览/下载:94/0
|
提交时间:2025/01/10
Adversarial machine learning
Contrastive Learning
Cost benefit analysis
Data acquisition
Diagnosis
Large datasets
Alzheimer
Alzheimer’s disease
Clinical guideline
Explanation analyze
High costs
Multi-modality
Multi-modality fusion
Multi-stage framework
Multi-stages
Multiple modalities
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