Federated Multi-Label Learning (FMLL): Innovative Method for Classification Tasks in Animal Science by Bita Ghasemkhani, Ozlem Varliklar, Yunus Dogan, Semih Utku, Kokten Ulas Birant, Derya Birant

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Multi-Label Learning With Hidden Labels by Jun Huang, Haowei Rui, Guorong Li, Xiwen Qu, Tao Tao, Xiao Zheng

Subjects: “…Multi-label learning…”
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A Self-Ensemble Approach for Partial Multi-Label Learning by Yan Yan, Shining Li

Subjects: “…Multi-label learning…”
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Multi-Label Bioinformatics Data Classification With Ensemble Embedded Feature Selection by Yumeng Guo, Fu-Lai Chung, Guozheng Li, Lei Zhang

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Multi-label learning with missing features and labels and its application to text categorization by Xiuyan Hao, Jun Huang, Feng Qin, Xiao Zheng

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Improving Multi-Label Learning by Correlation Embedding by Jun Huang, Qian Xu, Xiwen Qu, Yaojin Lin, Xiao Zheng

Subjects: “…multi-label learning…”
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ML-k’sNN: Label Dependent <i>k</i> Values for Multi-Label <i>k</i>-Nearest Neighbor Rule by José M. Cuevas-Muñoz, Nicolás E. García-Pedrajas

Subjects: “…multi-label learning…”
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Prediction of Chronic Diseases With Multi-Label Neural Network by Ruiquan Ge, Renfeng Zhang, Pu Wang

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PyIT-MLFS: a Python-based information theoretical multi-label feature selection library by Sadegh Eskandari

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Embedded Feature Selection for Multi-label Classification of Music Emotions by Mingyu You, Jiaming Liu, Guo-Zheng Li, Yan Chen

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Label Specific Features-Based Classifier Chains for Multi-Label Classification by Wei Weng, Da-Han Wang, Chin-Ling Chen, Juan Wen, Shun-Xiang Wu

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Multi-Attack Detection: General Defense Strategy Based on Neural Networks for CV-QKD by Hongwei Du, Duan Huang

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MLAWSMOTE: Oversampling in Imbalanced Multi-label Classification with Missing Labels by Learning Label Correlation Matrix by Jian Mao, Kai Huang, Jinming Liu

Subjects: “…Multi-label learning…”
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Multi-Label Feature Selection Based on Min-Relevance Label by Wanfu Gao, Hanlin Pan

Subjects: “…Multi-label learning…”
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ScanAT: Identification of Bytecode-Only Smart Contracts With Multiple Attribute Tags by Yuntae Kim, Dohyun Pak, Jonghyup Lee

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Pedestrian Attribute Recognition with Graph Convolutional Network in Surveillance Scenarios by Xiangpeng Song, Hongbin Yang, Congcong Zhou

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Estimating latent relative labeling importances for multi-label learning by He, Shuo, Feng, Lei, Li, Li

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Instance structure based multi-label learning with missing labels by Tianzhu CHEN, Fenghua LI, Yunchuan GUO, Zifu LI

Subjects: “…multi-label learning…”
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A Multi-Objective Multi-Label Feature Selection Algorithm Based on Shapley Value by Hongbin Dong, Jing Sun, Xiaohang Sun

Subjects: “…multi-label learning…”
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Learning Common and Label-Specific Features for Multi-Label Classification With Missing Labels by Runxin Li, Zexian Ouyang, Zhenhong Shang, Lianyin Jia, Xiaowu Li

Subjects: “…Multi-label learning…”
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