Jasmin Bogatinovski

35 papers A* 1A 1B 2C 1Misc 1Journal 19Unranked 9

Year	Rank	Type	Title / Venue / Authors
2024	—	`conf`	Investigating Memory Failure Prediction Across CPU Architectures. DSN-S Qiao Yu, Wengui Zhang, Min Zhou, Jialiang Yu, Zhenli Sheng, Jasmin Bogatinovski, Jorge Cardoso, Odej Kao
2024	J	`jnl`	Investigating Memory Failure Prediction Across CPU Architectures. CoRR Qiao Yu, Wengui Zhang, Min Zhou, Jialiang Yu, Zhenli Sheng, Jasmin Bogatinovski, Jorge Cardoso, Odej Kao
2024	J	`jnl`	On Software Ageing Indicators in OpenStack. CoRR Yevhen Yazvinskyi, Jasmin Bogatinovski, Jorge Cardoso, Odej Kao
2023	—	`—`	AI-enabled log analysis for improving IT system dependability. Jasmin Bogatinovski
2023	—	`conf`	Auto-Logging: AI-centred Logging Instrumentation. ICSE (NIER) Jasmin Bogatinovski, Odej Kao
2022	—	`conf`	A2Log: Attentive Augmented Log Anomaly Detection. HICSS Thorsten Wittkopp, Alexander Acker, Sasho Nedelkoski, Jasmin Bogatinovski, Dominik Scheinert, Wu Fan, Odej Kao
2022	J	`jnl`	Comprehensive comparative study of multi-label classification methods. Expert Syst. Appl. Jasmin Bogatinovski, Ljupco Todorovski, Saso Dzeroski, Dragi Kocev
2022	J	`jnl`	Data-Driven Approach for Log Instruction Quality Assessment. CoRR Jasmin Bogatinovski, Sasho Nedelkoski, Alexander Acker, Jorge Cardoso, Odej Kao
2022	J	`jnl`	Explaining the performance of multilabel classification methods with data set properties. Int. J. Intell. Syst. Jasmin Bogatinovski, Ljupco Todorovski, Saso Dzeroski, Dragi Kocev
2022	J	`jnl`	FAIRification of MLC data. CoRR Ana Kostovska, Jasmin Bogatinovski, Andrej Treven, Saso Dzeroski, Dragi Kocev, Pance Panov
2022	B	`conf`	Failure Identification from Unstable Log Data using Deep Learning. CCGRID Jasmin Bogatinovski, Sasho Nedelkoski, Li Wu, Jorge Cardoso, Odej Kao
2022	J	`jnl`	Failure Identification from Unstable Log Data using Deep Learning. CoRR Jasmin Bogatinovski, Sasho Nedelkoski, Li Wu, Jorge Cardoso, Odej Kao
2022	B	`conf`	First CE Matters: On the Importance of Long Term Properties on Memory Failure Prediction. IEEE Big Data Jasmin Bogatinovski, Odej Kao, Qiao Yu, Jorge Cardoso
2022	J	`jnl`	First CE Matters: On the Importance of Long Term Properties on Memory Failure Prediction. CoRR Jasmin Bogatinovski, Qiao Yu, Jorge Cardoso, Odej Kao
2022	J	`jnl`	Less is more: Selecting the right benchmarking set of data for time series classification. Expert Syst. Appl. Tome Eftimov, Gasper Petelin, Gjorgjina Cenikj, Ana Kostovska, Gordana Ispirova, Peter Korosec, Jasmin Bogatinovski
2022	—	`conf`	Leveraging Log Instructions in Log-based Anomaly Detection. SCC Jasmin Bogatinovski, Gjorgji Madjarov, Sasho Nedelkoski, Jorge Cardoso, Odej Kao
2022	J	`jnl`	Leveraging Log Instructions in Log-based Anomaly Detection. CoRR Jasmin Bogatinovski, Gjorgji Madjarov, Sasho Nedelkoski, Jorge Cardoso, Odej Kao
2022	A	`conf`	QuLog: data-driven approach for log instruction quality assessment. ICPC Jasmin Bogatinovski, Sasho Nedelkoski, Alexander Acker, Jorge Cardoso, Odej Kao
2021	J	`jnl`	A2Log: Attentive Augmented Log Anomaly Detection. CoRR Thorsten Wittkopp, Alexander Acker, Sasho Nedelkoski, Jasmin Bogatinovski, Dominik Scheinert, Wu Fan, Odej Kao
2021	J	`jnl`	Artificial Intelligence for IT Operations (AIOPS) Workshop White Paper. CoRR Jasmin Bogatinovski, Sasho Nedelkoski, Alexander Acker, Florian Schmidt, Thorsten Wittkopp, Soeren Becker, Jorge Cardoso, Odej Kao
2021	J	`jnl`	Comprehensive Comparative Study of Multi-Label Classification Methods. CoRR Jasmin Bogatinovski, Ljupco Todorovski, Saso Dzeroski, Dragi Kocev
2021	J	`jnl`	Explaining the Performance of Multi-label Classification Methods with Data Set Properties. CoRR Jasmin Bogatinovski, Ljupco Todorovski, Saso Dzeroski, Dragi Kocev
2021	J	`jnl`	Multi-Source Anomaly Detection in Distributed IT Systems. CoRR Jasmin Bogatinovski, Sasho Nedelkoski
2021	J	`jnl`	Robust and Transferable Anomaly Detection in Log Data using Pre-Trained Language Models. CoRR Harold Ott, Jasmin Bogatinovski, Alexander Acker, Sasho Nedelkoski, Odej Kao
2020	—	`conf`	Multi-source Anomaly Detection in Distributed IT Systems. ICSOC Workshops Jasmin Bogatinovski, Sasho Nedelkoski
2020	—	`conf`	Multi-source Distributed System Data for AI-Powered Analytics. ESOCC Sasho Nedelkoski, Jasmin Bogatinovski, Ajay Kumar Mandapati, Soeren Becker, Jorge Cardoso, Odej Kao
2020	—	`conf`	Performance Diagnosis in Cloud Microservices Using Deep Learning. ICSOC Workshops Li Wu, Jasmin Bogatinovski, Sasho Nedelkoski, Johan Tordsson, Odej Kao
2020	A*	`conf`	Self-Attentive Classification-Based Anomaly Detection in Unstructured Logs. ICDM Sasho Nedelkoski, Jasmin Bogatinovski, Alexander Acker, Jorge Cardoso, Odej Kao
2020	J	`jnl`	Self-Attentive Classification-Based Anomaly Detection in Unstructured Logs. CoRR Sasho Nedelkoski, Jasmin Bogatinovski, Alexander Acker, Jorge Cardoso, Odej Kao
2020	Misc	`conf`	Self-Supervised Anomaly Detection from Distributed Traces. UCC Jasmin Bogatinovski, Sasho Nedelkoski, Jorge Cardoso, Odej Kao
2020	J	`jnl`	Self-Supervised Log Parsing. CoRR Sasho Nedelkoski, Jasmin Bogatinovski, Alexander Acker, Jorge Cardoso, Odej Kao
2020	—	`conf`	Self-supervised Log Parsing. ECML/PKDD (4) Sasho Nedelkoski, Jasmin Bogatinovski, Alexander Acker, Jorge Cardoso, Odej Kao
2020	C	`conf`	Superiority of Simplicity: A Lightweight Model for Network Device Workload Prediction. FedCSIS Alexander Acker, Thorsten Wittkopp, Sasho Nedelkoski, Jasmin Bogatinovski, Odej Kao
2020	J	`jnl`	Superiority of Simplicity: A Lightweight Model for Network Device Workload Prediction. CoRR Alexander Acker, Thorsten Wittkopp, Sasho Nedelkoski, Jasmin Bogatinovski, Odej Kao
2019	—	`conf`	Feature Extraction for Heartbeat Classification in Single-Lead ECG. MIPRO Jasmin Bogatinovski, Dragi Kocev, Aleksandra Rashkovska