Budoen, A.T., Zhang, M.W. and Edwards Jr., L.Z. (2025) A Comparative Study of Ensemble Learning Techniques and Classification Models to Identify Phishing Websites. Open Access Library Journal, 12, ...

A study by the universities of Cordoba and Seville develops a method that makes it possible to verify, easily and quickly, ...

34 potential prognostic factors were used in this analysis. Results Four classification trees (prognostic pathways or decision trees) were created, one for each outcome. The most important predictor ...

BACKGROUND: Despite the significant global impact of the COVID-19 pandemic, limited studies have investigated the long-term ...

Abstract: Generating intuitions from data using data mining and machine learning algorithms to predict outcomes is useful area of computing. The application area of data mining techniques and machine ...

Abstract: We compare the performance of regression and classification neural networks for single-source direction-of-arrival estimation. Since the output space is continuous and structured, regression ...

This classification schema was designed to align with international ... Figure 7 displays the interactive data explorer, which allows users to filter drugs by name, risk category, publication year, ...

Details on machine learning (ML)-based metagenomics classification and data analysis are in the ... regardless of the chosen ...