Abstract: Graph contrastive learning (GCL) has been widely applied to text classification tasks due to its ability to generate self-supervised signals from unlabeled data, thus facilitating model ...

Discover how to determine the ideal percentage of a population for a representative sample to ensure accurate data analysis with minimal sampling error.

Introduction Community support for individuals with mental health problems is a global public health issue. Poor mental health literacy and high levels of stigmatising attitudes among the general ...

This is what Pertubuhan Ikram Malaysia, an Islamic organisation focused on community development and social research, has tried do measure since 2021 through its Malaysian Rahmah (Compassionate) ...

Background Despite several intensive interventions, HIV remains a major public health challenge affecting many individuals worldwide and highlighting ongoing gaps in HIV testing. Objectives To assess ...

Abstract: The class imbalance problem usually occurs in real applications. The class imbalance is that the amount of one class may be much less than that of another in training set. Under-sampling is ...