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: ...

GA4 attribution models don’t just report results — they influence them. See how model choice impacts marketing strategy, spend and perceived ROI. The post A guide to attribution models in GA4 appeared ...

The Allen Institute of AI updated its reward model evaluation RewardBench to better reflect real-life scenarios for enterprises.

Master data science in 2025. Complete guide to machine learning, big data analytics, Python programming, statistical modeling ...

Abstract: Traffic Classification (TC) is experiencing a renewed interest, fostered by the growing popularity of Deep Learning (DL) approaches. In exchange for their proved effectiveness, DL models are ...

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 ...

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 ...

While previous studies have investigated basic convolutional neural network (CNN) models for drainage crossing characterization, it remains unclear if advanced deep learning models will improve the ...

For example, many medical images are often difficult ... and medical images have high requirements for processing accuracy. A synergic graph convolutional networks (SGCN) model is proposed for image ...

Outcome measure Seven classification ... model for predicting children in Tanzania who have not received any vaccinations. This comprehensive approach enabled the accurate identification of zero-dose ...