Supporting Telecommunication Alarm Management System With Trouble Ticket Prediction. - Mulugeta Weldezgina Asres; Million Abayneh Mengistu; Pino Castrogiovanni; Lorenzo Bottaccioli; Enrico Macii; Edoardo Patti; Andrea Acquaviva (IEEE Trans. Ind. Informatics, 2021)

Computational Cost Analysis and Data-Driven Predictive Modeling of Cloud-Based Online-NILM Algorithm. - Mulugeta Weldezgina Asres; Luca Ardito; Edoardo Patti (IEEE Trans. Cloud Comput., 2022)

Spatio-Temporal Anomaly Detection with Graph Networks for Data Quality Monitoring of the Hadron Calorimeter. - Mulugeta Weldezgina Asres; Christian Walter Peter Omlin; Long Wang; David Yu; Pavel Parygin; Jay Dittmann; Georgia Karapostoli; Markus Seidel; Rosamaria Venditti; Luka Lambrecht; Emanuele Usai; Muhammad Ahmad; et al. (CoRR, 2023)

Spatio-Temporal Anomaly Detection with Graph Networks for Data Quality Monitoring of the Hadron Calorimeter. - Mulugeta Weldezgina Asres; Christian Walter Peter Omlin; Long Wang; David Yu; Pavel Parygin; Jay Dittmann; Georgia Karapostoli; Markus Seidel; Rosamaria Venditti; Luka Lambrecht; Emanuele Usai; Muhammad Ahmad; et al. (Sensors, 2023)

Lightweight Multi-System Multivariate Interconnection and Divergence Discovery. - Mulugeta Weldezgina Asres; Christian Walter Peter Omlin; Jay Dittmann; Pavel Parygin; Joshua Hiltbrand; Seth I. Cooper; Grace Cummings; David Yu (SOSE, 2024)

Data Quality Monitoring through Transfer Learning on Anomaly Detection for the Hadron Calorimeters. - Mulugeta Weldezgina Asres; Christian Walter Peter Omlin; Long Wang; Pavel Parygin; David Yu; Jay Dittmann; the CMS-HCAL Collaboration (CoRR, 2024)

Low-Latency Video Anonymization for Crowd Anomaly Detection: Privacy vs. Performance. - Mulugeta Weldezgina Asres; Lei Jiao 001; Christian W. Omlin (CoRR, 2024)

Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag Data. - Mulugeta Weldezgina Asres; Christian Walter Peter Omlin; the CMS-HCAL Collaboration (CoRR, 2024)