Sasho Nedelkoski

Publication Activity (10 Years)

Years Active: 2017-2022
Publications (10 Years): 32

Top Topics

Detect Anomalies

Anomaly Detection

Top Venues

ICSOC Workshops

Publications

Jasmin Bogatinovski, Sasho Nedelkoski, Li Wu, Jorge Cardoso, Odej Kao
Failure Identification from Unstable Log Data using Deep Learning. CCGRID (2022)
Jasmin Bogatinovski, Sasho Nedelkoski, Alexander Acker, Jorge Cardoso, Odej Kao
Data-Driven Approach for Log Instruction Quality Assessment. CoRR (2022)
Thorsten Wittkopp, Alexander Acker, Sasho Nedelkoski, Jasmin Bogatinovski, Dominik Scheinert, Wu Fan, Odej Kao
A2Log: Attentive Augmented Log Anomaly Detection. HICSS (2022)
Jasmin Bogatinovski, Sasho Nedelkoski, Li Wu, Jorge Cardoso, Odej Kao
Failure Identification from Unstable Log Data using Deep Learning. CoRR (2022)
Jasmin Bogatinovski, Gjorgji Madjarov, Sasho Nedelkoski, Jorge Cardoso, Odej Kao
Leveraging Log Instructions in Log-based Anomaly Detection. SCC (2022)
Jasmin Bogatinovski, Sasho Nedelkoski, Alexander Acker, Jorge Cardoso, Odej Kao
QuLog: data-driven approach for log instruction quality assessment. ICPC (2022)
Jasmin Bogatinovski, Gjorgji Madjarov, Sasho Nedelkoski, Jorge Cardoso, Odej Kao
Leveraging Log Instructions in Log-based Anomaly Detection. CoRR (2022)
Lauritz Thamsen, Jossekin Beilharz, Vinh Thuy Tran, Sasho Nedelkoski, Odej Kao
Mary, Hugo, and Hugo*: Learning to schedule distributed data-parallel processing jobs on shared clusters. Concurr. Comput. Pract. Exp. 33 (18) (2021)
Jasmin Bogatinovski, Sasho Nedelkoski
Multi-Source Anomaly Detection in Distributed IT Systems. CoRR (2021)
Jasmin Bogatinovski, Sasho Nedelkoski, Alexander Acker, Florian Schmidt, Thorsten Wittkopp, Sören Becker, Jorge Cardoso, Odej Kao
Artificial Intelligence for IT Operations (AIOPS) Workshop White Paper. CoRR (2021)
Thorsten Wittkopp, Alexander Acker, Sasho Nedelkoski, Jasmin Bogatinovski, Dominik Scheinert, Wu Fan, Odej Kao
A2Log: Attentive Augmented Log Anomaly Detection. CoRR (2021)
Lauritz Thamsen, Ilya Verbitskiy, Sasho Nedelkoski, Vinh Thuy Tran, Vinícius Meyer, Miguel G. Xavier, Odej Kao, César A. F. De Rose
Hugo: A Cluster Scheduler that Efficiently Learns to Select Complementary Data-Parallel Jobs. CoRR (2021)
Harold Ott, Jasmin Bogatinovski, Alexander Acker, Sasho Nedelkoski, Odej Kao
Robust and Transferable Anomaly Detection in Log Data using Pre-Trained Language Models. CoRR (2021)
Sabtain Ahmad, Kevin Styp-Rekowski, Sasho Nedelkoski, Odej Kao
Autoencoder-based Condition Monitoring and Anomaly Detection Method for Rotating Machines. CoRR (2021)
Sasho Nedelkoski, Mihail Bogojeski, Odej Kao
Learning more expressive joint distributions in multimodal variational methods. CoRR (2020)
Sabtain Ahmad, Kevin Styp-Rekowski, Sasho Nedelkoski, Odej Kao
Autoencoder-based Condition Monitoring and Anomaly Detection Method for Rotating Machines. IEEE BigData (2020)
Jasmin Bogatinovski, Sasho Nedelkoski, Jorge Cardoso, Odej Kao
Self-Supervised Anomaly Detection from Distributed Traces. UCC (2020)
Sasho Nedelkoski, Jasmin Bogatinovski, Alexander Acker, Jorge Cardoso, Odej Kao
Self-Attentive Classification-Based Anomaly Detection in Unstructured Logs. ICDM (2020)
Alexander Acker, Thorsten Wittkopp, Sasho Nedelkoski, Jasmin Bogatinovski, Odej Kao
Superiority of Simplicity: A Lightweight Model for Network Device Workload Prediction. FedCSIS (2020)
Li Wu, Jasmin Bogatinovski, Sasho Nedelkoski, Johan Tordsson, Odej Kao
Performance Diagnosis in Cloud Microservices Using Deep Learning. ICSOC Workshops (2020)
Alexander Acker, Thorsten Wittkopp, Sasho Nedelkoski, Jasmin Bogatinovski, Odej Kao
Superiority of Simplicity: A Lightweight Model for Network Device Workload Prediction. CoRR (2020)
Sasho Nedelkoski, Jasmin Bogatinovski, Alexander Acker, Jorge Cardoso, Odej Kao
Self-Supervised Log Parsing. CoRR (2020)
Sasho Nedelkoski, Mihail Bogojeski, Odej Kao
Learning More Expressive Joint Distributions in Multimodal Variational Methods. LOD (1) (2020)
Sasho Nedelkoski, Jasmin Bogatinovski, Alexander Acker, Jorge Cardoso, Odej Kao
Self-Attentive Classification-Based Anomaly Detection in Unstructured Logs. CoRR (2020)
Sasho Nedelkoski, Jasmin Bogatinovski, Alexander Acker, Jorge Cardoso, Odej Kao
Self-supervised Log Parsing. ECML/PKDD (4) (2020)
Jasmin Bogatinovski, Sasho Nedelkoski
Multi-source Anomaly Detection in Distributed IT Systems. ICSOC Workshops (2020)
Sasho Nedelkoski, Jasmin Bogatinovski, Ajay Kumar Mandapati, Sören Becker, Jorge Cardoso, Odej Kao
Multi-source Distributed System Data for AI-Powered Analytics. ESOCC (2020)
Lauritz Thamsen, Ilya Verbitskiy, Sasho Nedelkoski, Vinh Thuy Tran, Vinícius Meyer, Miguel G. Xavier, Odej Kao, César A. F. De Rose
Hugo: A Cluster Scheduler that Efficiently Learns to Select Complementary Data-Parallel Jobs. Euro-Par Workshops (2019)
Sasho Nedelkoski, Jorge Cardoso, Odej Kao
Anomaly Detection from System Tracing Data Using Multimodal Deep Learning. CLOUD (2019)
Sasho Nedelkoski, Jorge Cardoso, Odej Kao
Anomaly Detection and Classification using Distributed Tracing and Deep Learning. CCGRID (2019)
Sasho Nedelkoski, Lauritz Thamsen, Ilya Verbitskiy, Odej Kao
Multilayer Active Learning for Efficient Learning and Resource Usage in Distributed IoT Architectures. EDGE (2019)
Sasho Nedelkoski, Goran S. Stojanovski
Machine learning for large scale manufacturing data with limited information. ICCA (2017)