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Javad Forough
Javad Forough
PhD in computer science, Umeå University
Verified email at cs.umu.se - Homepage
Title
Cited by
Cited by
Year
Ensemble of deep sequential models for credit card fraud detection
J Forough, S Momtazi
Applied Soft Computing 99 (2021), 106883, 2021
1522021
Sequential credit card fraud detection: A joint deep neural network and probabilistic graphical model approach
J Forough, S Momtazi
Expert Systems 39 (1), e12795, 2022
272022
Detection of VSI-DDoS attacks on the edge: A sequential modeling approach
J Forough, M Bhuyan, E Elmroth
Proceedings of the 16th International Conference on Availability …, 2021
62021
DELA: A Deep Ensemble Learning Approach for Cross-layer VSI-DDoS Detection on the Edge
J Forough, M Bhuyan, E Elmroth
2022 IEEE 42nd International Conference on Distributed Computing Systems …, 2022
32022
Unified Identification of Anomalies on the Edge: A Hybrid Sequential PGM Approach
J Forough, M Bhuyan, E Elmroth
2023 IEEE 22nd International Conference on Trust, Security and Privacy in …, 2023
12023
Anomaly Detection and Resolution on the Edge: Solutions and Future Directions
J Forough, M Bhuyan, E Elmroth
IEEE International Conference on Service-Oriented System Engineering, SOSE, 2023
12023
Machine learning for anomaly detection in edge clouds
J Forough
Umeå University, 2024
2024
Efficient Anomaly Detection for Edge Clouds: Mitigating Data and Resource Constraints
J Forough, M Bhuyan, E Elmroth
Submitted for publication, 2024
2024
Reinforced Model Selection for Resource Efficient Anomaly Detection in Edge Clouds
J Forough, M Bhuyan, E Elmroth
2024
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Articles 1–9