Jasmin Bogatinovski

According to our database, Jasmin Bogatinovski authored at least 23 papers between 2019 and 2023.

Collaborative distances:

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

2023

AI-enabled log analysis for improving IT system dependability.

Jasmin Bogatinovski

PhD thesis, 2023

Auto-Logging: AI-centred Logging Instrumentation.

Jasmin Bogatinovski, Odej Kao

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering: New Ideas and Emerging Results, 2023

2022

Explaining the performance of multilabel classification methods with data set properties.

Jasmin Bogatinovski, Ljupco Todorovski, Saso Dzeroski, Dragi Kocev

Int. J. Intell. Syst., 2022

Less is more: Selecting the right benchmarking set of data for time series classification.

Tome Eftimov, Gasper Petelin, Gjorgjina Cenikj, Ana Kostovska, Gordana Ispirova, Peter Korosec, Jasmin Bogatinovski

Expert Syst. Appl., 2022

Comprehensive comparative study of multi-label classification methods.

Jasmin Bogatinovski, Ljupco Todorovski, Saso Dzeroski, Dragi Kocev

Expert Syst. Appl., 2022

FAIRification of MLC data.

Ana Kostovska, Jasmin Bogatinovski, Andrej Treven, Saso Dzeroski, Dragi Kocev, Pance Panov

CoRR, 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

First CE Matters: On the Importance of Long Term Properties on Memory Failure Prediction.

Jasmin Bogatinovski, Odej Kao, Qiao Yu, Jorge Cardoso

Proceedings of the IEEE International Conference on Big Data, 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

Explaining the Performance of Multi-label Classification Methods with Data Set Properties.

Jasmin Bogatinovski, Ljupco Todorovski, Saso Dzeroski, Dragi Kocev

CoRR, 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

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

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

2019

Feature Extraction for Heartbeat Classification in Single-Lead ECG.

Jasmin Bogatinovski, Dragi Kocev, Aleksandra Rashkovska

Proceedings of the 42nd International Convention on Information and Communication Technology, 2019