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Publication search results
found 229 matches
- 2024
- Tinghe Fang, Zhouqiao Wu, Xun Chen, Luxin Tan, Zhongwu Li, Jiafu Ji, Yubo Fan, Ziyu Li, Shuhua Yue:
Label-Free Virtual Peritoneal Lavage Cytology via Deep-Learning-Assisted Single-Color Stimulated Raman Scattering Microscopy. Adv. Intell. Syst. 6(5) (2024) - Qirui Guo, Musu Yuan, Lei Zhang, Minghua Deng:
scPLAN: a hierarchical computational framework for single transcriptomics data annotation, integration and cell-type label refinement. Briefings Bioinform. 25(4) (2024) - Hamed Vasei, Mohammad-Hadi Foroughmand-Araabi, Amir Daneshgar:
Weighted centroid trees: a general approach to summarize phylogenies in single-labeled tumor mutation tree inference. Bioinform. 40(7) (2024) - Xiaoyang Wei, Zhiyuan Li, Yanrui Jin, Yuanyuan Tian, Mengxiao Wang, Liqun Zhao, Chengliang Liu:
Automatic multi-label diagnosis of single-lead ECG using novel hybrid residual recurrent convolutional neural networks. Biomed. Signal Process. Control. 95: 106422 (2024) - Inder Pal Singh, Enjie Ghorbel, Oyebade Kayode Oyedotun, Djamila Aouada:
Multi-label image classification using adaptive graph convolutional networks: From a single domain to multiple domains. Comput. Vis. Image Underst. 247: 104062 (2024) - Wendong Wang, Yu Li, Jingsen Liu, Huan Zhou:
A Filter-Based Improved Multi-Objective Equilibrium Optimizer for Single-Label and Multi-Label Feature Selection Problem. Int. J. Comput. Intell. Appl. 23(1): 2350028:1-2350028:32 (2024) - Minshen Qin, Junzheng Jiang, Fang Zhou:
Single image dehazing based on multi-label graph cuts. Pattern Recognit. Lett. 185: 110-116 (2024) - Qi Lai, Jianhang Zhou, Yanfen Gan, Chi-Man Vong, C. L. Philip Chen:
Single-Stage Broad Multi-Instance Multi-Label Learning (BMIML) With Diverse Inter-Correlations and Its Application to Medical Image Classification. IEEE Trans. Emerg. Top. Comput. Intell. 8(1): 828-839 (2024) - Guozhang Li, De Cheng, Nannan Wang, Jie Li, Xinbo Gao:
Neighbor-Guided Pseudo-Label Generation and Refinement for Single-Frame Supervised Temporal Action Localization. IEEE Trans. Image Process. 33: 2419-2430 (2024) - Shuquan Ye, Yan Xu, Dongdong Chen, Songfang Han, Jing Liao:
Learning a Single Network for Robust Medical Image Segmentation With Noisy Labels. IEEE Trans. Medical Imaging 43(9): 3188-3199 (2024) - Zhongnian Li, Peng Ying, Meng Wei, Tongfeng Sun, Xinzheng Xu:
Prompt Expending for Single Positive Multi-Label Learning with Global Unannotated Categories. ICMR 2024: 561-569 - Florian Ruosch, Rosni Vasu, Ruijie Wang, Luca Rossetto, Abraham Bernstein:
Single-Label Multi-modal Field of Research Classification. NSLP 2024: 224-233 - Yueh-Cheng Huang, HsinYi Chen, Cheng-Jui Hung, Jen-Hui Chuang, Jenq-Neng Hwang:
Single-image driven 3d viewpoint training data augmentation for effective wine label recognition. CoRR abs/2404.08820 (2024) - Yanxi Chen, Chunxiao Li, Xinyang Dai, Jinhuan Li, Weiyu Sun, Yiming Wang, Renyuan Zhang, Tinghe Zhang, Bo Wang:
Boosting Single Positive Multi-label Classification with Generalized Robust Loss. CoRR abs/2405.03501 (2024) - Rouhollah Ahmadian, Mehdi Ghatee, Johan Wahlström:
Superior Scoring Rules for Probabilistic Evaluation of Single-Label Multi-Class Classification Tasks. CoRR abs/2407.17697 (2024) - Shuai Yuan, Hanlin Qin, Renke Kou, Xiang Yan, Zechuan Li, Chenxu Peng, Abd-Krim Seghouane:
Beyond Full Label: Single-Point Prompt for Infrared Small Target Label Generation. CoRR abs/2408.08191 (2024) - 2023
- Erik Christensen, Ping Luo, Andrei L. Turinsky, Mia Husic, Alaina Mahalanabis, Alaine Naidas, Juan Javier Díaz-Mejía, Michael Brudno, Trevor J. Pugh, Arun K. Ramani, Parisa Shooshtari:
Evaluation of single-cell RNAseq labelling algorithms using cancer datasets. Briefings Bioinform. 24(1) (2023) - Yuzhen Qin, Li Sun, Hui Chen, Wenming Yang, Wei-Qiang Zhang, Jintao Fei, Guijin Wang:
MVKT-ECG: Efficient single-lead ECG classification for multi-label arrhythmia by multi-view knowledge transferring. Comput. Biol. Medicine 166: 107503 (2023) - Tetsuyuki Takemoto, Zichen Huang, Ken Abamba Omwange, Yoshito Saito, Keiji Konagaya, Tetsuhito Suzuki, Yuichi Ogawa, Naoshi Kondo:
Label-free technology for traceable identification of single green pepper through features in UV fluorescent images. Comput. Electron. Agric. 211: 107960 (2023) - Sajjad Kamali Siahroudi, Daniel Kudenko:
An effective single-model learning for multi-label data. Expert Syst. Appl. 232: 120887 (2023) - Cheng Chen, Yifan Zhao, Jia Li:
Semantic Contrastive Bootstrapping for Single-Positive Multi-label Recognition. Int. J. Comput. Vis. 131(12): 3289-3306 (2023) - Junkun Yuan, Xu Ma, Defang Chen, Kun Kuang, Fei Wu, Lanfen Lin:
Domain-Specific Bias Filtering for Single Labeled Domain Generalization. Int. J. Comput. Vis. 131(2): 552-571 (2023) - Hassan Ismail Abdalla, Ali A. Amer, Sri Devi Ravana:
BoW-based neural networks vs. cutting-edge models for single-label text classification. Neural Comput. Appl. 35(27): 20103-20116 (2023) - Bekir Parlak:
Ensemble feature selection for single-label text classification: a comprehensive analytical study. Neural Comput. Appl. 35(26): 19235-19251 (2023) - Loucif Hebbache, Dariush Amirkhani, Mohand Saïd Allili, Nadir Hammouche, Jean-François Lapointe:
Leveraging Saliency in Single-Stage Multi-Label Concrete Defect Detection Using Unmanned Aerial Vehicle Imagery. Remote. Sens. 15(5): 1218 (2023) - Shuaicong Hu, Ya'nan Wang, Jian Liu, Cuiwei Yang:
Personalized Transfer Learning for Single-Lead ECG-Based Sleep Apnea Detection: Exploring the Label Mapping Length and Transfer Strategy Using Hybrid Transformer Model. IEEE Trans. Instrum. Meas. 72: 1-15 (2023) - Ronghang Zhu, Xiang Yu, Sheng Li:
Semi-Supervised Single Domain Generalization with Label-Free Adversarial Data Augmentation. Trans. Mach. Learn. Res. 2023 (2023) - Yuanzhuo Xu, Xiaoguang Niu, Jie Yang, Steve Drew, Jiayu Zhou, Ruizhi Chen:
USDNL: Uncertainty-Based Single Dropout in Noisy Label Learning. AAAI 2023: 10648-10656 - Helen Schneider, Priya Priya, David Biesner, Rebecca Kador, Yannik C. Layer, Maike Theis, Sebastian Nowak, Alois M. Sprinkart, Ulrike I. Attenberger, Rafet Sifa:
Is one label all you need? Single positive multi-label training in medical image analysis. IEEE Big Data 2023: 4963-4972 - Huy Quang Ung, Ryoichi Kojima, Shinya Wada:
Leverage Samples with Single Positive Labels to Train CNN-based Models For Multi-label Plant Species Prediction. CLEF (Working Notes) 2023: 2149-2158
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