Browsing by Subject "Random Forest"
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A Hybrid Machine Learning Intrusion Detection System Framework with Integrated Server and Client Models for Wireless Sensor Networks
(2024-04-15)Federated Learning (FL) has emerged as a novel distributed Machine Learning (ML) approach to tackle the challenges associated with data privacy and overload in ML-based intrusion detection systems (IDSs). Drawing inspiration ... -
Random Forest Similarity Maps: A scalable visual representation for global and local interpretation
(2021-04-20)Machine Learning prediction algorithms have made significant contributions in today’s world, leading to increased usage in a variety of domains. However, as ML algorithms surge, the need for transparent and interpretable ...