Search Results for author: Joseph Manzano

Found 2 papers, 0 papers with code

A Critical Assessment of Interpretable and Explainable Machine Learning for Intrusion Detection

no code implementations4 Jul 2024 Omer Subasi, Johnathan Cree, Joseph Manzano, Elena Peterson

These issues include the use of overly complex and opaque ML models, unaccounted data imbalances and correlated features, inconsistent influential features across different explanation methods, the inconsistencies stemming from the constituents of a learning process, and the implausible utility of explanations.

Binary Classification Intrusion Detection

The Landscape of Modern Machine Learning: A Review of Machine, Distributed and Federated Learning

no code implementations5 Dec 2023 Omer Subasi, Oceane Bel, Joseph Manzano, Kevin Barker

With the advance of the powerful heterogeneous, parallel and distributed computing systems and ever increasing immense amount of data, machine learning has become an indispensable part of cutting-edge technology, scientific research and consumer products.

Deep Learning Distributed Computing +1

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