Sasho Nedelkoski

According to our database, Sasho Nedelkoski authored at least 23 papers between 2017 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Data-Driven Approach for Log Instruction Quality Assessment.

Jasmin Bogatinovski, Sasho Nedelkoski, Alexander Acker, Jorge Cardoso, Odej Kao

CoRR, 2022

QuLog: data-driven approach for log instruction quality assessment.

Jasmin Bogatinovski, Sasho Nedelkoski, Alexander Acker, Jorge Cardoso, Odej Kao

Proceedings of the 30th IEEE/ACM International Conference on Program Comprehension, 2022

A2Log: Attentive Augmented Log Anomaly Detection.

Thorsten Wittkopp, Alexander Acker, Sasho Nedelkoski, Jasmin Bogatinovski, Dominik Scheinert, Wu Fan, Odej Kao

Proceedings of the 55th Hawaii International Conference on System Sciences, 2022

Failure Identification from Unstable Log Data using Deep Learning.

Jasmin Bogatinovski, Sasho Nedelkoski, Li Wu, Jorge Cardoso, Odej Kao

Proceedings of the 22nd IEEE International Symposium on Cluster, 2022

Leveraging Log Instructions in Log-based Anomaly Detection.

Jasmin Bogatinovski, Gjorgji Madjarov, Sasho Nedelkoski, Jorge Cardoso, Odej Kao

Proceedings of the IEEE International Conference on Services Computing, 2022

2021

Deep anomaly detection in distributed software systems.

Sasho Nedelkoski

PhD thesis, 2021

Robust and Transferable Anomaly Detection in Log Data using Pre-Trained Language Models.

Harold Ott, Jasmin Bogatinovski, Alexander Acker, Sasho Nedelkoski, Odej Kao

CoRR, 2021

Artificial Intelligence for IT Operations (AIOPS) Workshop White Paper.

Jasmin Bogatinovski, Sasho Nedelkoski, Alexander Acker, Florian Schmidt, Thorsten Wittkopp, Soeren Becker, Jorge Cardoso, Odej Kao

CoRR, 2021

Mary, Hugo, and Hugo*: Learning to schedule distributed data-parallel processing jobs on shared clusters.

Lauritz Thamsen, Jossekin Beilharz, Vinh Thuy Tran, Sasho Nedelkoski, Odej Kao

Concurr. Comput. Pract. Exp., 2021

2020

Self-Supervised Anomaly Detection from Distributed Traces.

Jasmin Bogatinovski, Sasho Nedelkoski, Jorge Cardoso, Odej Kao

Proceedings of the 13th IEEE/ACM International Conference on Utility and Cloud Computing, 2020

Self-supervised Log Parsing.

Sasho Nedelkoski, Jasmin Bogatinovski, Alexander Acker, Jorge Cardoso, Odej Kao

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track, 2020

Learning More Expressive Joint Distributions in Multimodal Variational Methods.

Sasho Nedelkoski, Mihail Bogojeski, Odej Kao

Proceedings of the Machine Learning, Optimization, and Data Science, 2020

Performance Diagnosis in Cloud Microservices Using Deep Learning.

Li Wu, Jasmin Bogatinovski, Sasho Nedelkoski, Johan Tordsson, Odej Kao

Proceedings of the Service-Oriented Computing - ICSOC 2020 Workshops, 2020

Multi-source Anomaly Detection in Distributed IT Systems.

Jasmin Bogatinovski, Sasho Nedelkoski

Proceedings of the Service-Oriented Computing - ICSOC 2020 Workshops, 2020

Self-Attentive Classification-Based Anomaly Detection in Unstructured Logs.

Sasho Nedelkoski, Jasmin Bogatinovski, Alexander Acker, Jorge Cardoso, Odej Kao

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Superiority of Simplicity: A Lightweight Model for Network Device Workload Prediction.

Alexander Acker, Thorsten Wittkopp, Sasho Nedelkoski, Jasmin Bogatinovski, Odej Kao

Proceedings of the 2020 Federated Conference on Computer Science and Information Systems, 2020

Multi-source Distributed System Data for AI-Powered Analytics.

Sasho Nedelkoski, Jasmin Bogatinovski, Ajay Kumar Mandapati, Soeren Becker, Jorge Cardoso, Odej Kao

Proceedings of the Service-Oriented and Cloud Computing, 2020

Autoencoder-based Condition Monitoring and Anomaly Detection Method for Rotating Machines.

Sabtain Ahmad, Kevin Styp-Rekowski, Sasho Nedelkoski, Odej Kao

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

Hugo: A Cluster Scheduler that Efficiently Learns to Select Complementary Data-Parallel Jobs.

Lauritz Thamsen, Ilya Verbitskiy, Sasho Nedelkoski, Vinh Thuy Tran, Vinícius Meyer, Miguel G. Xavier, Odej Kao, César A. F. De Rose

Proceedings of the Euro-Par 2019: Parallel Processing Workshops, 2019

Multilayer Active Learning for Efficient Learning and Resource Usage in Distributed IoT Architectures.

Sasho Nedelkoski, Lauritz Thamsen, Ilya Verbitskiy, Odej Kao

Proceedings of the 3rd IEEE International Conference on Edge Computing, 2019

Anomaly Detection and Classification using Distributed Tracing and Deep Learning.

Sasho Nedelkoski, Jorge Cardoso, Odej Kao

Proceedings of the 19th IEEE/ACM International Symposium on Cluster, 2019

Anomaly Detection from System Tracing Data Using Multimodal Deep Learning.

Sasho Nedelkoski, Jorge Cardoso, Odej Kao

Proceedings of the 12th IEEE International Conference on Cloud Computing, 2019

2017

Machine learning for large scale manufacturing data with limited information.

Sasho Nedelkoski, Goran S. Stojanovski

Proceedings of the 13th IEEE International Conference on Control & Automation, 2017