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View all- Li SYuan GYang MShen YLi CXu RZhao X(2024)Improving Semi-Supervised Text Classification with Dual Meta-LearningACM Transactions on Information Systems10.1145/364861242:4(1-28)Online publication date: 26-Apr-2024
The goal of semi-supervised text classification (SSTC) is to train a model by exploring both a small number of labeled data and a large number of unlabeled data, such that the learned semi-supervised classifier performs better than the supervised ...
Semi-supervised learning (SSL) focuses on effectively exploiting both a limited number of labeled data and relatively rich unlabeled data. Recent SSL researches have achieved great progress with pseudo-labeling. However, incorrect pseudo-label ...
Malware, due to its ever-evolving nature, remains a serious threat. Sophisticated attacks using ransomware and viruses have crippled organizations globally. Traditional heuristic and signature-based methods have failed to keep up and are easily ...
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