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Domain-invariant Graph for Adaptive Semi-supervised Domain Adaptation Journal article
ACM Transactions on Multimedia Computing, Communications and Applications, 2022,Volume: 18,Issue: 3
Authors:  Li, Jinfeng;  Liu, Weifeng;  Zhou, Yicong;  Yu, Jun;  Tao, Dapeng;  Xu, Changsheng
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Domain Adaptation  Domain-invariant Graph  Few Labeled Source Samples  The Nyström Method  
Tag-assisted Multimodal Sentiment Analysis under Uncertain Missing Modalities Conference paper
Madrid, Spain, July 11th to 15th, 2022
Authors:  Jiandian Zeng;  Tianyi Liu;  Jiantao Zhou
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Graph-based sparse bayesian broad learning system for semi-supervised learning Journal article
Information Sciences, 2022,Volume: 597,Page: 193-210
Authors:  Xu, Lili;  Philip Chen, C. L.;  Han, Ruizhi
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Classification  Fast Marginal Likelihood Maximization  Graph-based Model  Manifold Regularization  Semi-supervised Learning  Sparse Bayesian Broad Learning System  
Phytochemistry and Pharmacology, Quality control of Xiasangju: A Traditional Chinese Medicine Formula Journal article
Frontiers in Pharmacology, 2022,Volume: 13,Page: 930813
Authors:  Siyuan Wu;  Hua Luo;  Zhangfeng Zhong;  Yongjian Ai;  Yonghua Zhao;  Qionglin Liang;  Yitao Wang
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Chrysanthemum Indicum L.  Morus AL.a L.  PruneL.a VuL.aris L.  Xiasangju  Pharmacology  Phytochemistry  Quality Control  
English Textbook Selection in Taiwan: Voices of Two Book Sales Representatives Journal article
Education Research International, 2022,Volume: 2022
Authors:  Barry Lee Reynolds;  Xuan Van Ha;  Melissa H. Yu
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Semi-supervised Drifted Stream Learning with Short Lookback Conference paper
Washington D.C., 2022-08-14
Authors:  Weijieying Ren;  Pengyang Wang;  Xiaolin Li;  Charles E. Hughes;  Yanjie Fu
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Incorporating Linear Regression Problems Into An Adaptive Framework with Feasible Optimizations Journal article
IEEE Transactions on Multimedia, 2022
Authors:  Zhang, Hengmin;  Qian, Feng;  Zhang, Bob;  Du, Wenli;  Qian, Jianjun;  Yang, Jian
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Adaptation Models  Convergence  Convergence Analysis The Authors Would Like To Thank The ediTors And The Anonymous Reviewers For Their Critical And Constructive Comments And Suggestions  Convex Vector And Matrix Norm  Iteratively Re-weighted Algorithm  Linear Regression  Linear Regression  Loss Measurement  Matrices  Optimization  Sparse Matrices  
LMSVCR: novel effective method of semi-supervised multi-classification Journal article
Neural Computing and Applications, 2022,Volume: 34,Issue: 5,Page: 3857-3873
Authors:  Dong, Zijie;  Qin, Yimo;  Zou, Bin;  Xu, Jie;  Tang, Yuan Yan
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Laplacian Svm  Learning Rate  Multi-classification  Semi-supervised Learning  Support Vector Classification-regression  
A Simple yet Effective Layered Loss for Pre-training of Network Embedding Journal article
IEEE Transactions on Network Science and Engineering, 2022
Authors:  Chen, Junyang;  Li, Xueliang;  Li, Yuanman;  Li, Paul;  Wang, Mengzhu;  Zhang, Xiang;  Gong, Zhiguo;  Wu, Kaishun;  Leung, Victor C.M.
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Graph Neural Networks  Layered Loss  Network Embedding  Pre-training Of Unlabeled Nodes  
Trajectory Forecasting Based on Prior-Aware Directed Graph Convolutional Neural Network Journal article
IEEE Transactions on Intelligent Transportation Systems, 2022
Authors:  Su, Yuchao;  Du, Jie;  Li, Yuanman;  Li, Xia;  Liang, Rongqin;  Hua, Zhongyun;  Zhou, Jiantao
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Asymmetric Interactions.  Cooperative Intelligent Transportation Systems  Directed Graph Convolutional Neural Network  Directed Graphs  Feature Extraction  Forecasting  Generative Adversarial Networks  Predictive Models  Topology  Trajectory  Trajectory Prediction