Работы, цитирующие эту работу

Работ: 2

Работа: Cost-based modeling for fraud and intrusion detection: results from the JAM project

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. Deep Learning Explainability with Local Interpretable Model-Agnostic Explanations for Monkeypox Prediction

   Motup Angmo, Nonita Sharma, Sachi Nandan Mohanty +3

   СтатьяPoxvirus research and outbreaksJournal of Mechanics in Medicine and Biology2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.003638