Sasho Nedelkoski

Most-cited papers

Self-Attentive Classification-Based Anomaly Detection in Unstructured Logs
Sasho Nedelkoski, Jasmin Bogatinovski, Alexander Acker, Jorge Cardoso +1 more
2020Industrial Conference on Data Mining185 citations Open access
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Anomaly Detection from System Tracing Data Using Multimodal Deep Learning
Sasho Nedelkoski, Jorge Cardoso, Odej Kao
2019IEEE International Conference on Cloud Computing147 citations
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Self-Supervised Log Parsing
Sasho Nedelkoski, Jasmin Bogatinovski, Alexander Acker, Jorge Cardoso +1 more
2020ECML/PKDD99 citations Open access
Semantic Scholar
Autoencoder-based Condition Monitoring and Anomaly Detection Method for Rotating Machines
Sabtain Ahmad, K. Styp-Rekowski, Sasho Nedelkoski, Odej Kao
20202020 IEEE International Conference on Big Data (Big Data)91 citations Open access
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Multi-source Distributed System Data for AI-Powered Analytics
Sasho Nedelkoski, Jasmin Bogatinovski, Ajay Kumar Mandapati, Sören Becker +2 more
2020European Conference on Service-Oriented and Cloud Computing77 citations Open access
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Anomaly Detection and Classification using Distributed Tracing and Deep Learning
Sasho Nedelkoski, Jorge Cardoso, Odej Kao
2019IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing77 citations
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Performance Diagnosis in Cloud Microservices Using Deep Learning
Li Wu, Jasmin Bogatinovski, Sasho Nedelkoski, Johan Tordsson +1 more
2020ICSOC Workshops47 citations Open access
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Robust and Transferable Anomaly Detection in Log Data using Pre-Trained Language Models
H. Ott, Jasmin Bogatinovski, Alexander Acker, Sasho Nedelkoski +1 more
20212021 IEEE/ACM International Workshop on Cloud Intelligence (CloudIntelligence)43 citations Open access
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Self-Supervised Anomaly Detection from Distributed Traces
Jasmin Bogatinovski, Sasho Nedelkoski, Jorge Cardoso, Odej Kao
2020International Conference on Utility and Cloud Computing40 citations
Semantic Scholar
A2Log: Attentive Augmented Log Anomaly Detection
Thorsten Wittkopp, Alexander Acker, Sasho Nedelkoski, Jasmin Bogatinovski +3 more
2021Hawaii International Conference on System Sciences29 citations Open access
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Artificial Intelligence for IT Operations (AIOPS) Workshop White Paper
Jasmin Bogatinovski, Sasho Nedelkoski, Alexander Acker, Florian Schmidt +4 more
2021arXiv.org25 citations
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Multi-Source Anomaly Detection in Distributed IT Systems
Jasmin Bogatinovski, Sasho Nedelkoski
2021ICSOC Workshops15 citations Open access
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Mary, Hugo, and Hugo*: Learning to schedule distributed data‐parallel processing jobs on shared clusters
L. Thamsen, Jossekin Beilharz, V. Tran, Sasho Nedelkoski +1 more
2020Concurrency and Computation11 citations Open access
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QuLog: Data-Driven Approach for Log Instruction Quality Assessment
Jasmin Bogatinovski, Sasho Nedelkoski, Alexander Acker, Jorge Cardoso +1 more
2022IEEE International Conference on Program Comprehension7 citations Open access
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Failure Identification from Unstable Log Data using Deep Learning
Jasmin Bogatinovski, Sasho Nedelkoski, Li Wu, Jorge Cardoso +1 more
2022IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing6 citations Open access
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Leveraging Log Instructions in Log-based Anomaly Detection
Jasmin Bogatinovski, Gjorgji Madjarov, Sasho Nedelkoski, Jorge Cardoso +1 more
2022IEEE International Conference on Services Computing6 citations Open access
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Hugo: A Cluster Scheduler that Efficiently Learns to Select Complementary Data-Parallel Jobs
L. Thamsen, I. Verbitskiy, Sasho Nedelkoski, V. Tran +4 more
2019Euro-Par Workshops6 citations Open access
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Superiority of Simplicity: A Lightweight Model for Network Device Workload Prediction
Alexander Acker, Thorsten Wittkopp, Sasho Nedelkoski, Jasmin Bogatinovski +1 more
2020Conference on Computer Science and Information Systems4 citations Open access
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Data augmentation for forecasting industrial aging processes via conditional multimodal generative time-series models
Mihail Bogojeski, Nataliya Yakut, Sasho Nedelkoski, Shinichi Nakajima +1 more
2025Computers and Chemical Engineering3 citations Open access
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Multilayer Active Learning for Efficient Learning and Resource Usage in Distributed IoT Architectures
Sasho Nedelkoski, L. Thamsen, I. Verbitskiy, Odej Kao
2019International Conference on Edge Computing [Services Society]3 citations Open access
Semantic Scholar
Machine learning for large scale manufacturing data with limited information
Sasho Nedelkoski, G. Stojanovski
20172017 13th IEEE International Conference on Control & Automation (ICCA)3 citations
Semantic Scholar
What happens when nanochat meets DiLoCo?
Alexander Acker, Soeren Becker, Sasho Nedelkoski, Dominik Scheinert +2 more
2025arXiv.org2 citations
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Learning more expressive joint distributions in multimodal variational methods
Sasho Nedelkoski, Mihail Bogojeski, Odej Kao
2020International Conference on Machine Learning, Optimization, and Data Science1 citations Open access
Semantic Scholar
E8 Lattice Key Quantization for Low-Bit KV-Cache Compression
Sasho Nedelkoski, Alexander Acker, Soeren Becker, Dominik Scheinert +1 more
20260 citations
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Distributed Low-Communication Training with Decoupled Momentum Optimization
Sasho Nedelkoski, Alexander Acker, O. Kao, Soeren Becker +1 more
2025arXiv.org0 citations
Semantic Scholar
Deep anomaly detection in distributed software systems
Sasho Nedelkoski
20210 citations
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