| Unsupervised anomaly detection for IoT-based multivariate time series: Existing solutions, performance analysis and future directions MA Belay, SS Blakseth, A Rasheed, P Salvo Rossi Sensors 23 (5), 2844, 2023 | 59 | 2023 |
| MTAD: Multi-Objective Transformer Network for Unsupervised Multi-Sensor Anomaly Detection MA Belay, A Rasheed, PS Rossi IEEE Sensors Journal 24 (12), 20254-20265, 2024 | 8 | 2024 |
| Multivariate Time Series Anomaly Detection via Low-Rank and Sparse Decomposition MA Belay, A Rasheed, PS Rossi IEEE Sensors Journal 24 (21), 34942-34952, 2024 | 3 | 2024 |
| Self-Supervised Modular Architecture for Multi-Sensor Anomaly Detection and Localization MA Belay, A Rasheed, PS Rossi 2024 IEEE Conference on Artificial Intelligence (CAI), 1278-1283, 2024 | 2 | 2024 |
| Autoregressive Density Estimation Transformers for Multivariate Time Series Anomaly Detection MA Belay, A Rasheed, PS Rossi 2025 ICASSP, IEEE International Conference on Acoustics, Speech and Signal …, 2025 | | 2025 |
| Digital Twin Knowledge Distillation for Federated Semi-Supervised Industrial IoT DDoS Detection MA Belay, A Rasheed, PS Rossi 2025 IEEE Symposium Series on Computational Intelligence (SSCI), 2025 | | 2025 |
| Digital Twin-Based Federated Transfer Learning for Anomaly Detection in Industrial IoT MA Belay, A Rasheed, PS Rossi 2025 IEEE Symposium Series on Computational Intelligence (SSCI), 2025 | | 2025 |
| Sparse Non-Linear Vector Autoregressive Networks for Multivariate Time Series Anomaly Detection MA Belay, A Rasheed, PS Rossi IEEE Signal Processing Letters 32, 331-335, 2024 | | 2024 |
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