News

Scientific Research Publishing5d
A Comparative Study of Ensemble Learning Techniques and Classification Models to Identify Phishing Websites ()
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, ...
IEEE2d
An Ensemble Feature Selection Algorithm for Machine Learning based Intrusion Detection System
A machine learning-based Intrusion Detection ... In this paper, a lightweight and effective feature selection algorithm for IDS is proposed. This algorithm combines the advantages of both Random ...
IEEE11d
Replanting Your Forest: NVM-friendly Bagging Strategy for Random Forest
Abstract: Random forest is effective ... limit the feasibility of performing machine learning algorithms directly on NVMs. Such dilemma inspires this study to develop an NVM-friendly bagging strategy ...
Science Daily16d
Machine learning algorithm brings long-read sequencing to the clinic
SAVANA uses a machine learning algorithm to identify cancer-specific structural variations and copy number aberrations in long-read DNA sequencing data. The complex structure of cancer genomes means ...
New machine learning model improves early tsunami warnings
History has a way of repeating itself. But unlike science, built on general principles and testable theories about the ...
How S&P is using deep web scraping, ensemble learning and Snowflake architecture to collect 5X more data on SMEs
The investing world has a significant problem when it comes to data about small and medium-sized enterprises (SMEs). This has nothing to do with data quality or accuracy — it’s the lack of any data at ...