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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) \| 收藏 \| 浏览/下载：24/1 \| 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) \| 收藏 \| 浏览/下载：136/3 \| 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
	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) \| 收藏 \| 浏览/下载：13/1 \| 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
	Learnable color space conversion and fusion for stain normalization in pathology images 期刊论文 MEDICAL IMAGE ANALYSIS, 2025, 卷号: 101 作者: Ke, Jing; Zhou, Yijin; Shen, Yiqing; Guo, Yi; Liu, Ning Adobe PDF(6837Kb) \| 收藏 \| 浏览/下载：138/2 \| 提交时间：2025/01/10 Color image processing Contrastive Learning Convergence of numerical methods Digital storage Image segmentation Medical imaging Color space conversion Color space fusions Computer-assisted diagnostic systems Image analyze Image-analysis Learnable color space conversion Normalisation Normalization methods Pathology image analyze Stain normalization
	Multi-level fine-grained center calibration network for unsupervised person re-identification 期刊论文 MULTIMEDIA SYSTEMS, 2025, 卷号: 31, 期号: 2 作者: Che, Haojie; Zhao, Jiacheng; Li, Yongxi Adobe PDF(1539Kb) \| 收藏 \| 浏览/下载：14/1 \| 提交时间：2025/03/28 Benchmarking Contrastive Learning Feature extraction Self-supervised learning Supervised learning Unsupervised learning Calibration network Camera view Cluster centers Feature extractor Fine grained Local feature Multilevels Person re identifications Pseudo label Unsupervised person re-identification
	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) \| 收藏 \| 浏览/下载：106/2 \| 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
	Whole slide cervical cancer classification via graph attention networks and contrastive learning 期刊论文 NEUROCOMPUTING, 2025, 卷号: 613 作者: Fei, Manman; Zhang, Xin; Chen, Dongdong; Song, Zhiyun; Wang, Qian Adobe PDF(5797Kb) \| 收藏 \| 浏览/下载：352/4 \| 提交时间：2024/11/08 Lung cancer Automatic diagnosis Cancer classification Cervical cancers Cervical cells Contextual information Graph attention network Images classification Supervised contrastive learning Whole slide image classification Whole slide images
	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：46/0 \| 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：93/0 \| 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
	Sensing-Communication-Computation Integration for Federated Edge Learning with Controllable Model Dropout 期刊论文 IEEE INTERNET OF THINGS JOURNAL, 2025, 卷号: PP, 期号: 99 作者: Xiang Jiao; Guangxu Zhu Adobe PDF(7280Kb) \| 收藏 \| 浏览/下载：69/2 \| 提交时间：2025/02/17 Adversarial machine learning Contrastive Learning Convex optimization Electronic data interchange Gluing Resource allocation Batch sizes Collaborative modeling Convergence analysis Dropout Federated edge learning Integrated sensing Integrated sensing-computation-communication Learning convergence Privacy preserving Resources allocation

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