Safeguards-related event detection in surveillance video using semi-supervised learning approach by Se-Hwan Park, Byung-Hee Won, Seong-Kyu Ahn

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A Semi-Supervised Learning Approach to Quality-Based Web Service Classification by Mehdi Nozad Bonab, Jafar Tanha, Mohammad Masdari

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Consistency Regularization for Semi-Supervised Semantic Segmentation of Flood Regions From SAR Images by G. Savitha, S. Girisha, Pundarika Sughosh, Dasharathraj K. Shetty, Jayaraj Mymbilly Balakrishnan, Rahul Paul, Nithesh Naik

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A Novel Approach to Test-Induced Defect Detection in Semiconductor Wafers, Using Graph-Based Semi-Supervised Learning (GSSL) by Pedram Aridas, Narendra Kumar, Anis Salwa Mohd Khairuddin, Daniel Ting, Vivek Regeev

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SensorDBSCAN: Semi-Supervised Active Learning Powered Method for Anomaly Detection and Diagnosis by Petr Ivanov, Maria Shtark, Alexander Kozhevnikov, Maksim Golyadkin, Dmitry Botov, Ilya Makarov

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Enhancing Semi-Supervised Learning With Concept Drift Detection and Self-Training: A Study on Classifier Diversity and Performance by Jose L. M. Perez, Roberto S. M. Barros, Silas G. T. C. Santos

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Open-world barely-supervised learning via augmented pseudo labels by Zhongnian Li, Yanyan Ding, Meng Wei, Xinzheng Xu

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A semi-supervised learning technique assisted multi-objective evolutionary algorithm for computationally expensive problems by Zijian Jiang, Chaoli Sun, Xiaotong Liu, Hui Shi, Sisi Wang

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Application of semi-supervised Mean Teacher to rock image segmentation by Jiashan Li, Yuxue Wang

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A co-estimation framework of state of health and remaining useful life for lithium-ion batteries using the semi-supervised learning algorithm by Xiaoyu Li, Mohan Lyv, Xiao Gao, Kuo Li, Yanli Zhu

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UKSSL: Underlying Knowledge Based Semi-Supervised Learning for Medical Image Classification by Zeyu Ren, Xiangyu Kong, Yudong Zhang, Shuihua Wang

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Active Hard Sample Learning for Violation Action Recognition in Power Grid Operation by Lingwen Meng, Di He, Guobang Ban, Guanghui Xi, Anjun Li, Xinshan Zhu

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Supervised and Self-Supervised Learning for Assembly Line Action Recognition by Christopher Indris, Fady Ibrahim, Hatem Ibrahem, Götz Bramesfeld, Jie Huo, Hafiz Mughees Ahmad, Syed Khizer Hayat, Guanghui Wang

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