Feature Extraction for Heartbeat Classification in Single-Lead ECG. - Jasmin Bogatinovski; Dragi Kocev; Aleksandra Rashkovska (MIPRO, 2019)

Multi-source Distributed System Data for AI-Powered Analytics. - Sasho Nedelkoski; Jasmin Bogatinovski; Ajay Kumar Mandapati; Soeren Becker 001; Jorge Cardoso 001; Odej Kao (ESOCC, 2020)

Superiority of Simplicity: A Lightweight Model for Network Device Workload Prediction. - Alexander Acker; Thorsten Wittkopp; Sasho Nedelkoski; Jasmin Bogatinovski; Odej Kao (FedCSIS, 2020)

Self-Attentive Classification-Based Anomaly Detection in Unstructured Logs. - Sasho Nedelkoski; Jasmin Bogatinovski; Alexander Acker; Jorge Cardoso 001; Odej Kao (ICDM, 2020)

Multi-source Anomaly Detection in Distributed IT Systems. - Jasmin Bogatinovski; Sasho Nedelkoski (ICSOC Workshops, 2020)

Performance Diagnosis in Cloud Microservices Using Deep Learning. - Li Wu; Jasmin Bogatinovski; Sasho Nedelkoski; Johan Tordsson; Odej Kao (ICSOC Workshops, 2020)

Self-supervised Log Parsing. - Sasho Nedelkoski; Jasmin Bogatinovski; Alexander Acker; Jorge Cardoso 001; Odej Kao (ECML/PKDD (4), 2020)

Self-Supervised Anomaly Detection from Distributed Traces. - Jasmin Bogatinovski; Sasho Nedelkoski; Jorge Cardoso 001; Odej Kao (UCC, 2020)

Artificial Intelligence for IT Operations (AIOPS) Workshop White Paper. - Jasmin Bogatinovski; Sasho Nedelkoski; Alexander Acker; Florian Schmidt 006; Thorsten Wittkopp; Soeren Becker 001; Jorge Cardoso 001; Odej Kao (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)

Explaining the Performance of Multi-label Classification Methods with Data Set Properties. - Jasmin Bogatinovski; Ljupco Todorovski; Saso Dzeroski; Dragi Kocev (CoRR, 2021)

Leveraging Log Instructions in Log-based Anomaly Detection. - Jasmin Bogatinovski; Gjorgji Madjarov; Sasho Nedelkoski; Jorge Cardoso 001; Odej Kao (SCC, 2022)

First CE Matters: On the Importance of Long Term Properties on Memory Failure Prediction. - Jasmin Bogatinovski; Odej Kao; Qiao Yu; Jorge Cardoso 001 (IEEE Big Data, 2022)

Failure Identification from Unstable Log Data using Deep Learning. - Jasmin Bogatinovski; Sasho Nedelkoski; Li Wu; Jorge Cardoso 001; Odej Kao (CCGRID, 2022)

A2Log: Attentive Augmented Log Anomaly Detection. - Thorsten Wittkopp; Alexander Acker; Sasho Nedelkoski; Jasmin Bogatinovski; Dominik Scheinert; Wu Fan; Odej Kao (HICSS, 2022)

QuLog: data-driven approach for log instruction quality assessment. - Jasmin Bogatinovski; Sasho Nedelkoski; Alexander Acker; Jorge Cardoso 001; Odej Kao (ICPC, 2022)

Data-Driven Approach for Log Instruction Quality Assessment. - Jasmin Bogatinovski; Sasho Nedelkoski; Alexander Acker; Jorge Cardoso 001; Odej Kao (CoRR, 2022)

FAIRification of MLC data. - Ana Kostovska; Jasmin Bogatinovski; Andrej Treven; Saso Dzeroski; Dragi Kocev; Pance Panov (CoRR, 2022)

Comprehensive comparative study of multi-label classification methods. - Jasmin Bogatinovski; Ljupco Todorovski; Saso Dzeroski; Dragi Kocev (Expert Syst. Appl., 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)

Explaining the performance of multilabel classification methods with data set properties. - Jasmin Bogatinovski; Ljupco Todorovski; Saso Dzeroski; Dragi Kocev (Int. J. Intell. Syst., 2022)

Auto-Logging: AI-centred Logging Instrumentation. - Jasmin Bogatinovski; Odej Kao (ICSE (NIER), 2023)

AI-enabled log analysis for improving IT system dependability. - Jasmin Bogatinovski (2023)

Investigating Memory Failure Prediction Across CPU Architectures. - Qiao Yu; Wengui Zhang; Min Zhou; Jialiang Yu; Zhenli Sheng; Jasmin Bogatinovski; Jorge Cardoso 001; Odej Kao (DSN-S, 2024)

On Software Ageing Indicators in OpenStack. - Yevhen Yazvinskyi; Jasmin Bogatinovski; Jorge Cardoso 001; Odej Kao (CoRR, 2024)