IEEE

Application of BERT Model for Unsupervised Text Classification using Hierarchical Clustering for Automatic Classification of Thesis Manuscript

Abstract: Many current studies on natural language processing (NLP) depend on supervised learning, which needs a lot of labeled data. This is not practical for large classification tasks. This ...
IEEE

Validating TCP Behavior in DISTRI: A Comparison of Simulated and Real-World Network Performance for Distributed Computing

Abstract: Distributed computing systems require accurate network simulation tools to optimize data transfer and resource allocation across geographically distributed facilities. We extend DISTRI, a ...
Journal of Medical Internet Research

Developing and Validating a Machine Learning Algorithm to Predict the Risk of Incident Opioid Use Disorder Among OneFlorida+ Patients: Prognostic Modeling Study

Using 183 predictors measured in sequential 3-month intervals, we developed an elastic net, least absolute shrinkage and selection operator, gradient boosting machine (GBM), and random forest models ...