Bank Loan Prediction, Machine Learning, AdaBoosting, Credit Risk Assessment, Financial Modeling, Ensemble Learning, ...

Prediction of After-Sales Behavior in E-Commerce Using Machine Learning Models. Open Journal of Statistics, 14, 757-774. doi: ...

Welcome! This repository encapsulates all materials that I created for the course ISE-364 / 464, titled "Introduction to Machine Learning". This includes all original lecture slides as well as ...

Researchers at IBM Quantum recently showed that simple and more accessible machine learning (ML ... ML techniques for QEM without sacrificing accuracy," said Liao. The findings gathered by ...

Breast cancer image classification on the BreaKHis dataset - The purpose of this project was to experiment with different methods for accurately detecting breast cancer types (benign, malign) and then ...

However, further validation with larger ... exploring the impact of different machine learning frameworks. Despite these considerations, the random forest model distinctly stood out, achieving 100% ...

Inspired by physics-informed machine learning, which directly embeds physical laws into ... "By building a hybrid model, we ensure generalizability and improved accuracy." GINN performed 5% better ...

Abstract: To address the asynchronous challenges stemming from user resource constraints and intermittent network connections in distributed Internet of Things (IoT) systems, Asynchronous Federated ...

By evaluating the performance differences among these machine learning ... validation to evaluate the generalization performance of the model. The probability at which the Youden Index is maximized is ...

The role of artificial intelligence (AI) and machine learning (ML) has become highly significant in cybersecurity matters. They show promising potential, but what can they actually offer us to ...