Работы, цитирующие эту работу

Работ: 2

Работа: Enhancing Prostate Cancer Classification by Leveraging Key Radiomics Features and Using the Fine-Tuned Linear SVM Algorithm

1. A Comprehensive Empirical Analysis of Data Sets, Regression-Based Feature Selectors, and Linear SVM Classifiers for Intrusion Detection Systems

   Jahongir Azimjonov, Taehong Kim

   СтатьяNetwork Security and Intrusion DetectionIEEE Internet of Things Journal2024Цитирований: 1

   ABIABI:AkademIndex/openalex/2024.article.000465

2. Optimizing Artificial Intelligence-aided breast cancer models: An empirical analysis of binary classifiers and regression-based feature selectors

   Fakhriddin Madolimov, Asilbek Medatov, Elmira Nazirova +4

   СтатьяAI in cancer detectionEngineering Applications of Artificial Intelligence2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.001617