A Hierarchical Probabilistic Deep Learning Approach for Contextual Anomaly Detection in Mixed-Type Tabular Data

Lovre Mrčela, Zvonko Kostanjčar

Open source

DOI
10.1109/access.2025.3617799
Published
2025
Container
IEEE Access
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Open access
unknown

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BibTeX

@article{allodium:10.1109/access.2025.3617799,
  title = {A Hierarchical Probabilistic Deep Learning Approach for Contextual Anomaly Detection in Mixed-Type Tabular Data},
  author = {Lovre Mrčela and Zvonko Kostanjčar},
  year = {2025},
  journal = {IEEE Access},
  doi = {10.1109/access.2025.3617799},
  url = {https://doi.org/10.1109/access.2025.3617799}
}

RIS

TY  - JOUR
TI  - A Hierarchical Probabilistic Deep Learning Approach for Contextual Anomaly Detection in Mixed-Type Tabular Data
AU  - Lovre Mrčela
AU  - Zvonko Kostanjčar
PY  - 2025
JO  - IEEE Access
DO  - 10.1109/access.2025.3617799
UR  - https://doi.org/10.1109/access.2025.3617799
ER  -

APA

Mrčela, L., & Kostanjčar, Z. (2025). A Hierarchical Probabilistic Deep Learning Approach for Contextual Anomaly Detection in Mixed-Type Tabular Data. IEEE Access. https://doi.org/10.1109/access.2025.3617799

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