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- International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI)
also: International Workshop on Medical Image Learning with Less Labels and Imperfect Data (MIL3ID @ MICCAI) - International Conference on Intelligent User Interfaces (IUI)
- Technology-Enhanced Learning in Laboratories Workshop (TELL)
- e-learning and Virtual and Remote Laboratories (VIRTUAL-LAB)
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Publication search results
found 8,149 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) - Yiting Li, Jia Zhang, Hanrui Wu, Guodong Du, Jinyi Long:
Consistent and specific multi-view multi-label learning with correlation information. Inf. Sci. 687: 121395 (2025) - Huigui Yan, Jiale Liu, Da Han, Dianlong You, Hongtao Wu, Zhen Chen, Xianshan Li, Shunfu Jin, Xindong Wu:
Online learning from incomplete data streams with partial labels for multi-classification. Inf. Sci. 689: 121411 (2025) - Yiwei You, Jinglong Huang, Qiang Tong, Bo Wang:
Tackling biased complementary label learning with large margin. Inf. Sci. 687: 121400 (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) - Yue Zhang, Yiyi Chen, Chaowei Fang, Qian Wang, Jiayi Wu, Jingmin Xin:
Learning from open-set noisy labels based on multi-prototype modeling. Pattern Recognit. 157: 110902 (2025) - 2024
- Eirik Lund Flogard:
Improving Labour Inspection Efficiency via Machine Learning. Norwegian University of Science and Technology, Trondheim, Norway, 2024 - Sidra Abbas, Stephen Ojo, Moez Krichen, Meznah A. Alamro, Alaeddine Mihoub, Lucia Vilcekova:
A Novel Deep Learning Approach for Myocardial Infarction Detection and Multi-Label Classification. IEEE Access 12: 76003-76021 (2024) - Jabbar Ahmmad, Faten Labassi, Turki Alsuraiheed, Tahir Mahmood, Meraj Ali Khan:
Classification of Feature Engineering Techniques for Machine Learning under the Environment of Lattice Ordered T-Bipolar Soft Rings. IEEE Access 12: 77514-77522 (2024) - Chui Ee Chu, Gideon Sian Wee Cheong, Ankit Mishra, Yun Wen, Chen Huei Leo, Darren J. Yeo, Kang Hao Cheong:
Enhancing Biology Laboratory Learning: Student Perceptions of Performing Heart Dissection With Virtual Reality. IEEE Access 12: 76682-76691 (2024) - Dominik Filipiak, Andrzej Zapala, Piotr Tempczyk, Anna Fensel, Marek Cygan:
Polite Teacher: Semi-Supervised Instance Segmentation With Mutual Learning and Pseudo-Label Thresholding. IEEE Access 12: 37744-37756 (2024) - Muqaddas Gull, Omar Arif:
Multi-Label Zero-Shot Learning With Adversarial and Variational Techniques. IEEE Access 12: 94990-95006 (2024) - Ryota Higashimoto, Soh Yoshida, Mitsuji Muneyasu:
ConfidentMix: Confidence-Guided Mixup for Learning With Noisy Labels. IEEE Access 12: 58519-58531 (2024) - Muhammad Irtaza, Arshad Ali, Maryam Gulzar, Aamir Wali:
Multi-Label Classification of Lung Diseases Using Deep Learning. IEEE Access 12: 124062-124080 (2024) - Setia Juli Irzal Ismail, Hendrawan, Budi Rahardjo, Tutun Juhana, Yasuo Musashi:
MalSSL - Self-Supervised Learning for Accurate and Label-Efficient Malware Classification. IEEE Access 12: 58823-58835 (2024) - Mohammed Awal Kassim, Herna L. Viktor, Wojtek Michalowski:
Multi-Label Lifelong Machine Learning: A Scoping Review of Algorithms, Techniques, and Applications. IEEE Access 12: 74539-74557 (2024) - Ishan Devdatt Kawathekar, Anu Shaju Areeckal, Aparna V:
A Novel Deep Learning Pipeline for Vertebra Labeling and Segmentation of Spinal Computed Tomography Images. IEEE Access 12: 15330-15347 (2024) - Lang Lang, Xiao Qin Chen, Sha Liu, Qiang Zhou:
Discriminative Regression With Latent Label Learning for Image Classification. IEEE Access 12: 77675-77686 (2024) - Sai Li, Peng Kou, Miao Ma, Haoyu Yang, Shuo Huang, Zhengyi Yang:
Application of Semi-Supervised Learning in Image Classification: Research on Fusion of Labeled and Unlabeled Data. IEEE Access 12: 27331-27343 (2024) - Runxin Li, Zexian Ouyang, Zhenhong Shang, Lianyin Jia, Xiaowu Li:
Learning Common and Label-Specific Features for Multi-Label Classification With Missing Labels. IEEE Access 12: 81170-81195 (2024) - Rongxin Liu, Yufang Lu, Lei Shi, Shuru Tan:
Research on Multi-Label Semi-Supervised Learning Algorithm Based on Dual Selection Criteria. IEEE Access 12: 31357-31365 (2024) - Mahmoud Ragab:
Multi-Label Scene Classification on Remote Sensing Imagery Using Modified Dingo Optimizer With Deep Learning. IEEE Access 12: 11879-11886 (2024) - Suhono Harso Supangkat, Hendra Sandhi Firmansyah, Rezky Kinanda, Irma Rizkia:
Smarter World Living Lab as an Integrated Approach: Learning How to Improve Quality of Life. IEEE Access 12: 62687-62708 (2024) - Ryoichi Takashima, Yuya Sawa, Ryo Aihara, Tetsuya Takiguchi, Yoshie Imai:
Dysarthric Speech Recognition Using Pseudo-Labeling, Self-Supervised Feature Learning, and a Joint Multi-Task Learning Approach. IEEE Access 12: 36990-36999 (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) - Yanzhuo Lin, Yu Wang, Mingquan Zhang, Zenghui Wang, Haijun Zhang, Ming Zhao:
Information-guided signal multi-granularity contrastive feature learning for fault diagnosis with few labeled data. Adv. Eng. Informatics 61: 102471 (2024) - Bin Pang, Qiuhai Liu, Zhenduo Sun, Zhenli Xu, Ziyang Hao:
Time-frequency supervised contrastive learning via pseudo-labeling: An unsupervised domain adaptation network for rolling bearing fault diagnosis under time-varying speeds. Adv. Eng. Informatics 59: 102304 (2024) - Haowen Zheng, Hui Liu, Zhenyu Liu, Jianrong Tan:
Federated temporal-context contrastive learning for fault diagnosis using multiple datasets with insufficient labels. Adv. Eng. Informatics 60: 102432 (2024) - Boyi Li, Adu Gong, Jiaming Zhang, Zexin Fu:
From image-level to pixel-level labeling: A weakly-supervised learning method for identifying aquaculture ponds using iterative anti-adversarial attacks guided by aquaculture features. Int. J. Appl. Earth Obs. Geoinformation 132: 104023 (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)
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