Search Results for author: John A. Emanuello

Found 2 papers, 0 papers with code

Proceedings of TDA: Applications of Topological Data Analysis to Data Science, Artificial Intelligence, and Machine Learning Workshop at SDM 2022

no code implementations3 Apr 2022 R. W. R. Darling, John A. Emanuello, Emilie Purvine, Ahmad Ridley

Topological Data Analysis (TDA) is a rigorous framework that borrows techniques from geometric and algebraic topology, category theory, and combinatorics in order to study the "shape" of such complex high-dimensional data.

Topological Data Analysis

End-To-End Anomaly Detection for Identifying Malicious Cyber Behavior through NLP-Based Log Embeddings

no code implementations27 Aug 2021 Andrew Golczynski, John A. Emanuello

Rule-based IDS (intrusion detection systems) are being replaced by more robust neural IDS, which demonstrate great potential in the field of Cybersecurity.

Anomaly Detection Feature Engineering +1

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