Wang (2024) evaluated three methods for binary and multiclass classification by calculating the Shapley value after using metaheuristic optimization techniques using ensemble machine learning models ...

In this paper, we present both a binary and multiclass PE malware classification using four classic machine learning algorithms and four deep learning algorithms. We have applied this algorithm on ...

This paper presents a comprehensive machine learning approach for credit score classification, addressing key challenges in financial risk assessment. We propose an optimized CatBoost-based framework ...

However, there are few clustering methods for binary data, which are common in self-reported lifestyle and behavior symptom data, meaning many of these subtypes remain undetected. To address this ...

In the modern world, cyber security is growing in importance. Every day, there are more and more people using the internet, and they are downloading vast amounts of data from various websites onto ...

Machine Learning Algorithms for Binary and Multiclass Classification of IoT Network Traffic in Smart Cities Published in: 2024 3rd International Conference on Artificial Intelligence For Internet of ...