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Publication search results
found 586 matches
- 2025
- Suping Xu, Lin Shang, Furao Shen, Xibei Yang, Witold Pedrycz:
Incomplete label distribution learning via label correlation decomposition. Inf. Fusion 113: 102600 (2025) - Xixi Jiang, Dong Zhang, Xiang Li, Kangyi Liu, Kwang-Ting Cheng, Xin Yang:
Labeled-to-unlabeled distribution alignment for partially-supervised multi-organ medical image segmentation. Medical Image Anal. 99: 103333 (2025) - Xuefeng Liang, Wenxin Xu, Hexin Jiang, Ying Zhou, Yin Zhao, Jie Zhang:
Learning subjective time-series data via Utopia Label Distribution Approximation. Pattern Recognit. 157: 110924 (2025) - 2024
- Hao-Dong Zheng, Lei Yu, Yu-Ting Lu, Wei-Hao Zhang, Yan-Jun Yu:
KDALDL: Knowledge Distillation-Based Adaptive Label Distribution Learning Network for Bone Age Assessment. IEEE Access 12: 17679-17689 (2024) - Yadong Zhou, Wen Li, Xiaoyu Cao, Boayin He, Qi Feng, Fan Yang, Hui Liu, Tiit Kutser, Min Xu, Fei Xiao, Xueer Geng, kai Yu, Yun Du:
Spatial-temporal distribution of labeled set bias remote sensing estimation: An implication for supervised machine learning in water quality monitoring. Int. J. Appl. Earth Obs. Geoinformation 131: 103959 (2024) - Wenhao Shu, Qiang Xia, Wenbin Qian:
Label distribution feature selection based on label-specific features. Appl. Intell. 54(19): 9195-9212 (2024) - Penglei Chen, Jiangtao Wang, Zhiwei Zhang, Cheng He:
DILA: Dynamic Gaussian Distribution Fitting and Imitation Learning-Based Label Assignment for tiny object detection. Appl. Soft Comput. 164: 111980 (2024) - Fuzheng Liu, Haomiao Wang, Mingshun Jiang, Faye Zhang:
Balance-blended adversarial distribution and smooth-suppressed labels refinement network for partial transfer fault diagnosis. Eng. Appl. Artif. Intell. 135: 108723 (2024) - Eunbeen Kim, Jaeuk Moon, Jonghwa Shim, Eenjun Hwang:
Predicting invasive species distributions using incremental ensemble-based pseudo-labeling. Ecol. Informatics 79: 102407 (2024) - Yudong Cao, Minping Jia, Xiaoli Zhao, Xiaoan Yan, Ke Feng:
Cost-sensitive learning considering label and feature distribution consistency: A novel perspective for health prognosis of rotating machinery with imbalanced data. Expert Syst. Appl. 250: 123930 (2024) - Tingting Zhai, Kunyong Hu:
Optimizing margin distribution for online multi-label classification. Evol. Syst. 15(3): 1033-1042 (2024) - Lijuan Ren, Liangxiao Jiang, Wenjun Zhang, Chaoqun Li:
Label distribution similarity-based noise correction for crowdsourcing. Frontiers Comput. Sci. 18(5): 185323 (2024) - Yayu Luo, Tongzhijun Zhu, Zediao Liu, Tenglong Mao, Ziyi Chen, Huan Pi, Ying Lin:
GANFAT: Robust federated adversarial learning with label distribution skew. Future Gener. Comput. Syst. 160: 711-723 (2024) - Peiqiu Yu, Xiuyi Jia:
Exploiting indirect linear correlation for label distribution learning. Neurocomputing 599: 128022 (2024) - Zaobo He, Yusen Li, Daehee Seo, Zhipeng Cai:
FedCPD: Addressing label distribution skew in federated learning with class proxy decoupling and proxy regularization. Inf. Fusion 110: 102481 (2024) - Xiwen Lu, Wenbin Qian, Shiming Dai, Jintao Huang:
Label distribution feature selection based on hierarchical structure and neighborhood granularity. Inf. Fusion 112: 102588 (2024) - Guangtai Wang, Jintao Huang, Chi-Man Vong:
Stream label distribution learning processing via broad learning system. Inf. Sci. 677: 120836 (2024) - Hengyan You, Pei Wang, Zhaowen Li:
Feature selection for label distribution learning based on the statistical distribution of data and fuzzy mutual information. Inf. Sci. 679: 121085 (2024) - Hyunuk Shin, Bokyeung Lee, Bonhwa Ku, Hanseok Ko:
Noisy label facial expression recognition via face-specific label distribution learning. Image Vis. Comput. 143: 104901 (2024) - Ehsan Imani, Guojun Zhang, Runjia Li, Jun Luo, Pascal Poupart, Philip H. S. Torr, Yangchen Pan:
Label Alignment Regularization for Distribution Shift. J. Mach. Learn. Res. 25: 247:1-247:32 (2024) - Tim Breitenbach, Shrikanth Malavalli Divakar, Lauritz Rasbach, Patrick Jahnke:
ML-driven risk estimation for memory failure in a data center environment with convolutional neural networks, self-supervised data labeling and distribution-based model drift determination. J. Parallel Distributed Comput. 185: 104800 (2024) - Shidong Lin, Chenxi Wang, Yu Mao, Yaojin Lin:
Feature selection for label distribution learning under feature weight view. Int. J. Mach. Learn. Cybern. 15(5): 1827-1840 (2024) - Ruyi Xu, Zhun Wang, Jingying Chen, Longpu Zhou:
Facial expression intensity estimation using label-distribution-learning-enhanced ordinal regression. Multim. Syst. 30(1): 13 (2024) - Weiwei Li, Wei Qian, Lei Chen, Xiuyi Jia:
Sample diversity selection strategy based on label distribution morphology for active label distribution learning. Pattern Recognit. 150: 110322 (2024) - Wenbin Qian, Jiale Liu, Wenji Yang, Jintao Huang, Weiping Ding:
Partial label feature selection based on noisy manifold and label distribution. Pattern Recognit. 156: 110791 (2024) - Navin Raj Prabhu, Nale Lehmann-Willenbrock, Timo Gerkmann:
End-to-End Label Uncertainty Modeling in Speech Emotion Recognition Using Bayesian Neural Networks and Label Distribution Learning. IEEE Trans. Affect. Comput. 15(2): 579-592 (2024) - Yaojin Lin, Yulin Li, Chenxi Wang, Lei Guo, Jinkun Chen:
Label Distribution Learning Based on Horizontal and Vertical Mining of Label Correlations. IEEE Trans. Big Data 10(3): 275-287 (2024) - Romain Azaïs, Florian Ingels:
Detection of common subtrees with identical label distribution. Theor. Comput. Sci. 988: 114366 (2024) - Biao Yang, Peng Wang, Miaomiao Cao, Xianlin Zhu, Suhong Wang, Rongrong Ni, Changchun Yang:
Uncertainty-Aware Label Contrastive Distribution Learning for Automatic Depression Detection. IEEE Trans. Comput. Soc. Syst. 11(2): 2979-2989 (2024) - Qihao Zhao, Fan Zhang, Wei Hu, Songhe Feng, Jun Liu:
OHD: An Online Category-Aware Framework for Learning With Noisy Labels Under Long-Tailed Distribution. IEEE Trans. Circuits Syst. Video Technol. 34(5): 3806-3818 (2024)
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