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IDoFew: Intermediate Training Using Dual-Clustering in Language Models for Few Labels Text Classification
Although some approaches have attempted to address this problem through single-stage clustering as an intermediate training step coupled with a pre-trained language model, which generates pseudo-labels to improve classification, these methods are often error-prone due to the limitations of the clustering algorithms.
Weather impact on daily cases of COVID-19 in Saudi Arabia using machine learning
We compiled and preprocessed data using the official daily report of the Ministry of Health of Saudi Arabia for COVID-19 cases and obtained historical weather data aligned with the reported case daily reports.
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