Jasmin Bogatinovski

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 33

Top Topics

Failure Prediction

Detect Anomalies

Anomaly Detection

Top Venues

Expert Syst. Appl.

ICSOC Workshops

Publications

Qiao Yu, Wengui Zhang, Min Zhou, Jialiang Yu, Zhenli Sheng, Jasmin Bogatinovski, Jorge Cardoso, Odej Kao
Investigating Memory Failure Prediction Across CPU Architectures. CoRR (2024)
Yevhen Yazvinskyi, Jasmin Bogatinovski, Jorge Cardoso, Odej Kao
On Software Ageing Indicators in OpenStack. CoRR (2024)
Jasmin Bogatinovski, Odej Kao
Auto-Logging: AI-centred Logging Instrumentation. ICSE (NIER) (2023)
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, Qiao Yu, Jorge Cardoso, Odej Kao
First CE Matters: On the Importance of Long Term Properties on Memory Failure Prediction. CoRR (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, Ljupco Todorovski, Saso Dzeroski, Dragi Kocev
Explaining the performance of multilabel classification methods with data set properties. Int. J. Intell. Syst. 37 (9) (2022)
Jasmin Bogatinovski, Odej Kao, Qiao Yu, Jorge Cardoso
First CE Matters: On the Importance of Long Term Properties on Memory Failure Prediction. Big Data (2022)
Jasmin Bogatinovski, Ljupco Todorovski, Saso Dzeroski, Dragi Kocev
Comprehensive comparative study of multi-label classification methods. Expert Syst. Appl. 203 (2022)
Ana Kostovska, Jasmin Bogatinovski, Andrej Treven, Saso Dzeroski, Dragi Kocev, Pance Panov
FAIRification of MLC data. CoRR (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)
Tome Eftimov, Gasper Petelin, Gjorgjina Cenikj, Ana Kostovska, Gordana Ispirova, Peter Korosec, Jasmin Bogatinovski
Less is more: Selecting the right benchmarking set of data for time series classification. Expert Syst. Appl. 198 (2022)
Jasmin Bogatinovski, Ljupco Todorovski, Saso Dzeroski, Dragi Kocev
Explaining the Performance of Multi-label Classification Methods with Data Set Properties. CoRR (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)
Jasmin Bogatinovski, Ljupco Todorovski, Saso Dzeroski, Dragi Kocev
Comprehensive Comparative Study of Multi-Label Classification Methods. 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)
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, 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)
Jasmin Bogatinovski, Dragi Kocev, Aleksandra Rashkovska
Feature Extraction for Heartbeat Classification in Single-Lead ECG. MIPRO (2019)