dresanovic/anomaly-detection-framework: v1.1-thesis

Zenodo (CERN European Organization for Nuclear Research) 2026 Open access

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Authors: Daniel Resanovic
DOI: 10.5281/zenodo.18620172
Cited by: 0

Abstract

This release corresponds to the version of the anomaly detection framework used in the doctoral dissertation. It contains the full implementation, configuration files, and datasets required to reproduce the reported experiments.

Fields of Study & Subjects

Anomaly Detection Techniques and Applications Software System Performance and Reliability Adversarial Robustness in Machine Learning

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
12 February 2026
Language
EN