| 2022 | CCGRID | Failure Identification from Unstable Log Data using Deep Learning. | Jasmin Bogatinovski, Sasho Nedelkoski, Li Wu, Jorge Cardoso, Odej Kao |
| 2020 | FedCSIS | Superiority of Simplicity: A Lightweight Model for Network Device Workload Prediction. | Alexander Acker, Thorsten Wittkopp, Sasho Nedelkoski, Jasmin Bogatinovski, Odej Kao |
| 2020 | ICDM | Self-Attentive Classification-Based Anomaly Detection in Unstructured Logs. | Sasho Nedelkoski, Jasmin Bogatinovski, Alexander Acker, Jorge Cardoso, Odej Kao |
| 2020 | ICSOC | Multi-source Anomaly Detection in Distributed IT Systems. | Jasmin Bogatinovski, Sasho Nedelkoski |
| 2020 | ICSOC | Performance Diagnosis in Cloud Microservices Using Deep Learning. | Li Wu, Jasmin Bogatinovski, Sasho Nedelkoski, Johan Tordsson, Odej Kao |
| 2020 | UCC | Self-Supervised Anomaly Detection from Distributed Traces. | Jasmin Bogatinovski, Sasho Nedelkoski, Jorge Cardoso, Odej Kao |
| 2019 | CCGRID | Anomaly Detection and Classification using Distributed Tracing and Deep Learning. | Sasho Nedelkoski, Jorge Cardoso, Odej Kao |
| 2019 | EuroPar | Hugo: A Cluster Scheduler that Efficiently Learns to Select Complementary Data-Parallel Jobs. | Lauritz Thamsen, Ilya Verbitskiy, Sasho Nedelkoski, Vinh Thuy Tran, Vincius Meyer, Miguel G. Xavier, Odej Kao, Csar A. F. De Rose |