A Framework for Fair and Trustworthy Multimodal Video Anomaly Detection: Fusion, Dataset Quality Auditing, Explainability, and Fairness

Author

Omeshamisu Judith Anigala, South Dakota State UniversityFollow

Document Type

Dissertation - Open Access

Award Date

2025

Degree Name

Doctor of Philosophy (PhD)

Department / School

Electrical Engineering and Computer Science

First Advisor

Chulwoo Pack

Publisher

South Dakota State University

Recommended Citation

Anigala, Omeshamisu Judith, "A Framework for Fair and Trustworthy Multimodal Video Anomaly Detection: Fusion, Dataset Quality Auditing, Explainability, and Fairness" (2025). Electronic Theses and Dissertations. 1887.
https://openprairie.sdstate.edu/etd2/1887