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Likely matches
- 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 7,565 matches
- 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) - Ryota Higashimoto, Soh Yoshida, Mitsuji Muneyasu:
ConfidentMix: Confidence-Guided Mixup for Learning With Noisy Labels. IEEE Access 12: 58519-58531 (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) - 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) - 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) - Mahmoud Ragab:
Multi-Label Scene Classification on Remote Sensing Imagery Using Modified Dingo Optimizer With Deep Learning. IEEE Access 12: 11879-11886 (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) - 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) - Anat Cohen, Matan Dudaie, Itay Barnea, Francesca Borrelli, Jaromír Behal, Lisa Miccio, Pasquale Memmolo, Vittorio Bianco, Pietro Ferraro, Natan T. Shaked:
Label-Free Imaging Flow Cytometry for Cell Classification Based on Multiple Interferometric Projections Using Deep Learning. Adv. Intell. Syst. 6(1) (2024) - Yangtao Chen, Wenbin Qian:
Multiple reference points-based multi-objective feature selection for multi-label learning. Appl. Intell. 54(6): 4952-4978 (2024) - Manuele Leonelli, Gherardo Varando:
Learning and interpreting asymmetry-labeled DAGs: a case study on COVID-19 fear. Appl. Intell. 54(2): 1734-1750 (2024) - Ma Liang, Chen Hao, Gong Ming:
Prostate cancer grade using self-supervised learning and novel feature aggregator based on weakly-labeled gbit-pixel pathology images. Appl. Intell. 54(1): 871-885 (2024) - Limin Wang, Junjie Wang, Lu Guo, Qilong Li:
Efficient heuristics for learning scalable Bayesian network classifier from labeled and unlabeled data. Appl. Intell. 54(2): 1957-1979 (2024) - Qiangqiang Xia, Chunyan Hu, Feifei Lee, Qiu Chen:
Gradient optimization for object detection in learning with noisy labels. Appl. Intell. 54(5): 4248-4259 (2024) - Dawei Zhao, Yi Tan, Dong Sun, Qingwei Gao, Yixiang Lu, De Zhu:
Multi-label learning of missing labels using label-specific features: an embedded packaging method. Appl. Intell. 54(1): 791-814 (2024) - Joseph Chang, Bo-Ru Lin, Ti-Hao Wang, Chung-Ming Chen:
Deep learning model for pleural effusion detection via active learning and pseudo-labeling: a multisite study. BMC Medical Imaging 24(1): 92 (2024) - Runjia Du, Sikai Chen, Jiqian Dong, Tiantian Chen, Xiaowen Fu, Samuel Labi:
Dynamic urban traffic rerouting with fog-cloud reinforcement learning. Comput. Aided Civ. Infrastructure Eng. 39(6): 793-813 (2024) - Bushra Salem Al-Smadi:
DeBERTa-BiLSTM: A multi-label classification model of Arabic medical questions using pre-trained models and deep learning. Comput. Biol. Medicine 170: 107921 (2024) - Jirayu Petchhan, Shun-Feng Su:
Self-Supervised Domain-Adaptive learning for Self-Labeling unknown rice grains during actual rice transportation process. Comput. Electron. Agric. 216: 108483 (2024) - Man Wang:
Advanced continuous threat detection in public networks of university laboratories based on deep learning. Comput. Electr. Eng. 113: 109051 (2024) - Yue Yu, Zhengjuan Zhou, Xianju Zheng, Jianping Gou, Weihua Ou, Fei Yuan:
Enhancing Label Correlations in multi-label classification through global-local label specific feature learning to Fill Missing labels. Comput. Electr. Eng. 113: 109037 (2024) - Lei Li, Sheng Lian, Dazhen Lin, Zhiming Luo, Beizhan Wang, Shaozi Li:
Learning multi-organ and tumor segmentation from partially labeled datasets by a conditional dynamic attention network. Concurr. Comput. Pract. Exp. 36(1) (2024) - Yunduo Liu, Fang Xu, Yushan Zhao, Zichen Ma, Tengke Wang, Shunxiang Zhang, Yuhao Tian:
Hierarchical multi-instance multi-label learning for Chinese patent text classification. Connect. Sci. 36(1) (2024) - Celine Byukusenge, Florien Nsanganwimana, Albert Paulo Tarmo:
Investigating the effect of virtual laboratories on students' academic performance and attitudes towards learning biology. Educ. Inf. Technol. 29(1): 1147-1171 (2024) - Moses Openja, Gabriel Laberge, Foutse Khomh:
Detection and evaluation of bias-inducing features in machine learning. Empir. Softw. Eng. 29(1): 22 (2024) - Zhiwen Cao, Xijiong Xie:
Structure learning with consensus label information for multi-view unsupervised feature selection. Expert Syst. Appl. 238(Part C): 121893 (2024) - Peishu Wu, Zidong Wang, Han Li, Nianyin Zeng:
KD-PAR: A knowledge distillation-based pedestrian attribute recognition model with multi-label mixed feature learning network. Expert Syst. Appl. 237(Part A): 121305 (2024) - Yitao Liu, Chenxin An, Xipeng Qiu:
$$\cal{Y}$$-Tuning: an efficient tuning paradigm for large-scale pre-trained models via label representation learning. Frontiers Comput. Sci. 18(4) (2024) - Qingjun Yuan, Gaopeng Gou, Yuefei Zhu, Yongjuan Wang:
MMCo: using multimodal deep learning to detect malicious traffic with noisy labels. Frontiers Comput. Sci. 18(1): 181809 (2024)
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