Budoen, A. , Zhang, M. and Jr., L. (2025) A Comparative Study of Ensemble Learning Techniques and Classification Models to Identify Phishing Websites. Open Access Library Journal, 12, 1-22. doi: ...

Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values. Some real world examples where Logistic ...

Hallucination is one of the most researched topics in AI. Recent studies show we’ve got it all wrong, writes Satyen K.

Rose Yu has drawn on the principles of fluid dynamics to improve deep learning systems that predict traffic, model the ...

Bryan Cranston opens up on ‘rewarding’ aspect of Malcolm in the Middle return Harvard revokes tenure from professor famous ...

Industries from retail to finance are using clustering to personalize services, detect fraud, monitor equipment and improve ...

As data volumes surge across every industry and machine learning tools become more ... combinations to identify the best-performing model for a given dataset. It supports a variety of tasks, including ...

A team of astronomers led by Michael Janssen (Radboud University, The Netherlands) has trained a neural network with millions ...

Eye-Tracking, Machine Learning, Distance Learning, Online Learning, E-Learning, Bibliometric Analysis Share and Cite: Ayan, E ...

Endogenous intracellular allosteric modulators of GPCRs remain largely unexplored, with limited binding and phenotype data available. This gap arises from the lack of robust computational methods for ...