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Publication search results
found 79 matches
- 2024
- Seok Jin Hong, Jong-Uk Hou, Moon Jae Chung, Sung Hun Kang, Bo-Seok Shim, Seung-Lee Lee, Da Hae Park, Anna Choi, Jae Yeon Oh, Kyong Joo Lee, Eun Shin, Eunae Cho, Se Woo Park:
Convolutional neural network model for automatic recognition and classification of pancreatic cancer cell based on analysis of lipid droplet on unlabeled sample by 3D optical diffraction tomography. Comput. Methods Programs Biomed. 246: 108041 (2024) - Tilen Marc:
Unlabeled sample compression schemes for oriented matroids. Discret. Math. 347(7): 114006 (2024) - Xinyuan Chen, Yi Niu, Fawen Du, Guilin Lv:
Improving the performance of semi-supervised person Re-identification by selecting reliable unlabeled samples. Eng. Appl. Artif. Intell. 133: 108367 (2024) - Dan Xu, Xiaoqi Xiao, Jianguo Zhang:
Multivariable correlation feature network construction and health condition assessment for unlabeled single-sample data. Eng. Appl. Artif. Intell. 133: 108220 (2024) - Jianping Deng, Yuying Zhu, Shuning Zhang, Si Chen:
SAR Image Recognition Using ViT Network and Contrastive Learning Framework With Unlabeled Samples. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - Wenqing Wan, Jinglong Chen, Zitong Zhou, Zhen Shi:
Self-Supervised Simple Siamese Framework for Fault Diagnosis of Rotating Machinery With Unlabeled Samples. IEEE Trans. Neural Networks Learn. Syst. 35(5): 6380-6392 (2024) - Shreyas Havaldar, Jatin Chauhan, Karthikeyan Shanmugam, Jay Nandy, Aravindan Raghuveer:
Fairness under Covariate Shift: Improving Fairness-Accuracy Tradeoff with Few Unlabeled Test Samples. AAAI 2024: 12331-12339 - Yulong Zhang, Yuan Yao, Shuhao Chen, Pengrong Jin, Yu Zhang, Jian Jin, Jiangang Lu:
Rethinking Guidance Information to Utilize Unlabeled Samples: A Label Encoding Perspective. ICML 2024 - Jiahao Jiang, Yuheng Jia, Hui Liu, Junhui Hou:
FairMatch: Promoting Partial Label Learning by Unlabeled Samples. KDD 2024: 1269-1278 - Yulong Zhang, Yuan Yao, Shuhao Chen, Pengrong Jin, Yu Zhang, Jian Jin, Jiangang Lu:
Rethinking Guidance Information to Utilize Unlabeled Samples: A Label Encoding Perspective. CoRR abs/2406.02862 (2024) - 2023
- Ying Li, Hang Sun, Wensi Fang, Qin Ma, Siyu Han, Rui Wang-Sattler, Wei Du, Qiong Yu:
SURE: Screening unlabeled samples for reliable negative samples based on reinforcement learning. Inf. Sci. 629: 299-312 (2023) - Ziqian Kong, Xiaohang Jin, Zhengguo Xu, Zian Chen:
A contrastive learning framework enhanced by unlabeled samples for remaining useful life prediction. Reliab. Eng. Syst. Saf. 234: 109163 (2023) - Xuejun Liu, Wei Sun, Hongkun Li, Qiang Li, Shuai Lv:
A Fusing Domain Feature and Sharing Label Space-Based Fault Diagnosis Approach for Different Distribution and Unlabeled Rolling Bearing Sample. IEEE Trans. Instrum. Meas. 72: 1-13 (2023) - Zhongchang Sun, Shaofeng Zou:
Quickest Anomaly Detection in Sensor Networks With Unlabeled Samples. IEEE Trans. Signal Process. 71: 873-887 (2023) - Lize Jia, Jia Guo, Weihang Zhang, Hanruo Liu, Ningli Wang, Huiqi Li:
Semi-Supervised Learning with Out-of-Distribution Unlabeled Samples for Retinal Image Classification. ISBI 2023: 1-5 - Zhangchi Zhu, Lu Wang, Pu Zhao, Chao Du, Wei Zhang, Hang Dong, Bo Qiao, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang:
Robust Positive-Unlabeled Learning via Noise Negative Sample Self-correction. KDD 2023: 3663-3673 - Zhangchi Zhu, Lu Wang, Pu Zhao, Chao Du, Wei Zhang, Hang Dong, Bo Qiao, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang:
Robust Positive-Unlabeled Learning via Noise Negative Sample Self-correction. CoRR abs/2308.00279 (2023) - Jan Mielniczuk, Adam Wawrzenczyk:
Single-sample versus case-control sampling scheme for Positive Unlabeled data: the story of two scenarios. CoRR abs/2312.02095 (2023) - 2022
- Jérémie Chalopin, Victor Chepoi, Shay Moran, Manfred K. Warmuth:
Unlabeled sample compression schemes and corner peelings for ample and maximum classes. J. Comput. Syst. Sci. 127: 1-28 (2022) - Keyang Chen, Zongxu Pan, Zhongling Huang, Yuxin Hu, Chibiao Ding:
Learning From Reliable Unlabeled Samples for Semi-Supervised SAR ATR. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - Jiusi Zhang, Yuchen Jiang, Xiang Li, Mingyi Huo, Hao Luo, Shen Yin:
An adaptive remaining useful life prediction approach for single battery with unlabeled small sample data and parameter uncertainty. Reliab. Eng. Syst. Saf. 222: 108357 (2022) - Yi-Xuan Sun, Wei Wang:
Exploiting Mixed Unlabeled Data for Detecting Samples of Seen and Unseen Out-of-Distribution Classes. AAAI 2022: 8386-8394 - Hongseok Choi, Dongha Choi, Hyunju Lee:
Early Stopping Based on Unlabeled Samples in Text Classification. ACL (1) 2022: 708-718 - Zhuowei Wang, Guodong Long:
Positive Unlabeled Learning by Sample Selection and Prototype Refinement. ADMA (1) 2022: 304-318 - Laëtitia Launet, Rocío del Amor, Adrián Colomer, Andrés Mosquera-Zamudio, Anaïs Moscardó, Carlos Monteagudo, Zhiming Zhao, Valery Naranjo:
Federating Unlabeled Samples: A Semi-supervised Collaborative Framework for Whole Slide Image Analysis. IDEAL 2022: 64-72 - Guan Gui, Zhen Zhao, Lei Qi, Luping Zhou, Lei Wang, Yinghuan Shi:
Improving Barely Supervised Learning by Discriminating Unlabeled Samples with Super-Class. NeurIPS 2022 - Yi-Xuan Sun, Wei Wang:
Exploiting Mixed Unlabeled Data for Detecting Samples of Seen and Unseen Out-of-Distribution Classes. CoRR abs/2210.06833 (2022) - 2021
- Rongling Lang, Ya Fan, Guoliang Liu, Guodong Liu:
Analysis of unlabeled lung sound samples using semi-supervised convolutional neural networks. Appl. Math. Comput. 411: 126511 (2021) - Li Guo, Haitao Gan, Siyu Xia, Xiaobin Xu, Tao Zhou:
Joint exploring of risky labeled and unlabeled samples for safe semi-supervised clustering. Expert Syst. Appl. 176: 114796 (2021) - Shaoxun Yuan, Haitao Li, Jiansheng Wu, Xiao Sun:
Classification of Mild Cognitive Impairment With Multimodal Data Using Both Labeled and Unlabeled Samples. IEEE ACM Trans. Comput. Biol. Bioinform. 18(6): 2281-2290 (2021)
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