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ORCIDJasmin Bogatinovski
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2020 – today
- 2024
[c15]Qiao Yu, Wengui Zhang, Min Zhou, Jialiang Yu, Zhenli Sheng, Jasmin Bogatinovski, Jorge Cardoso, Odej Kao:
Investigating Memory Failure Prediction Across CPU Architectures. DSN-S 2024: 88-95- [i16]Yevhen Yazvinskyi, Jasmin Bogatinovski, Jorge Cardoso, Odej Kao:
On Software Ageing Indicators in OpenStack. CoRR abs/2404.16446 (2024) - [i15]Qiao Yu, Wengui Zhang, Min Zhou, Jialiang Yu, Zhenli Sheng, Jasmin Bogatinovski, Jorge Cardoso, Odej Kao:
Investigating Memory Failure Prediction Across CPU Architectures. CoRR abs/2406.05354 (2024) - 2023
- [b1]Jasmin Bogatinovski:
AI-enabled log analysis for improving IT system dependability. Technical University of Berlin, Germany, 2023 - [c14]Jasmin Bogatinovski, Odej Kao:
Auto-Logging: AI-centred Logging Instrumentation. ICSE (NIER) 2023: 95-100 - 2022
- [j3]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: 116871 (2022) - [j2]Jasmin Bogatinovski, Ljupco Todorovski, Saso Dzeroski, Dragi Kocev:
Comprehensive comparative study of multi-label classification methods. Expert Syst. Appl. 203: 117215 (2022) - [j1]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): 6080-6122 (2022) - [c13]Jasmin Bogatinovski, Gjorgji Madjarov, Sasho Nedelkoski, Jorge Cardoso, Odej Kao:
Leveraging Log Instructions in Log-based Anomaly Detection. SCC 2022: 321-326 - [c12]Jasmin Bogatinovski, Odej Kao, Qiao Yu, Jorge Cardoso:
First CE Matters: On the Importance of Long Term Properties on Memory Failure Prediction. IEEE Big Data 2022: 4733-4736 - [c11]Jasmin Bogatinovski, Sasho Nedelkoski, Li Wu, Jorge Cardoso, Odej Kao:
Failure Identification from Unstable Log Data using Deep Learning. CCGRID 2022: 346-355 - [c10]Thorsten Wittkopp, Alexander Acker, Sasho Nedelkoski, Jasmin Bogatinovski, Dominik Scheinert, Wu Fan, Odej Kao:
A2Log: Attentive Augmented Log Anomaly Detection. HICSS 2022: 1-10 - [c9]Jasmin Bogatinovski, Sasho Nedelkoski, Alexander Acker, Jorge Cardoso, Odej Kao:
QuLog: data-driven approach for log instruction quality assessment. ICPC 2022: 275-286 - [i14]Jasmin Bogatinovski, Sasho Nedelkoski, Alexander Acker, Jorge Cardoso, Odej Kao:
Data-Driven Approach for Log Instruction Quality Assessment. CoRR abs/2204.02618 (2022) - [i13]Jasmin Bogatinovski, Sasho Nedelkoski, Li Wu, Jorge Cardoso, Odej Kao:
Failure Identification from Unstable Log Data using Deep Learning. CoRR abs/2204.02636 (2022) - [i12]Jasmin Bogatinovski, Gjorgji Madjarov, Sasho Nedelkoski, Jorge Cardoso, Odej Kao:
Leveraging Log Instructions in Log-based Anomaly Detection. CoRR abs/2207.03206 (2022) - [i11]Ana Kostovska, Jasmin Bogatinovski, Andrej Treven, Saso Dzeroski, Dragi Kocev, Pance Panov:
FAIRification of MLC data. CoRR abs/2211.12757 (2022) - [i10]Jasmin Bogatinovski, Qiao Yu, Jorge Cardoso, Odej Kao:
First CE Matters: On the Importance of Long Term Properties on Memory Failure Prediction. CoRR abs/2212.10441 (2022) - 2021
- [i9]Jasmin Bogatinovski, Sasho Nedelkoski:
Multi-Source Anomaly Detection in Distributed IT Systems. CoRR abs/2101.04977 (2021) - [i8]Jasmin Bogatinovski, Sasho Nedelkoski, Alexander Acker, Florian Schmidt, Thorsten Wittkopp, Soeren Becker, Jorge Cardoso, Odej Kao:
Artificial Intelligence for IT Operations (AIOPS) Workshop White Paper. CoRR abs/2101.06054 (2021) - [i7]Jasmin Bogatinovski, Ljupco Todorovski, Saso Dzeroski, Dragi Kocev:
Comprehensive Comparative Study of Multi-Label Classification Methods. CoRR abs/2102.07113 (2021) - [i6]Harold Ott, Jasmin Bogatinovski, Alexander Acker, Sasho Nedelkoski, Odej Kao:
Robust and Transferable Anomaly Detection in Log Data using Pre-Trained Language Models. CoRR abs/2102.11570 (2021) - [i5]Jasmin Bogatinovski, Ljupco Todorovski, Saso Dzeroski, Dragi Kocev:
Explaining the Performance of Multi-label Classification Methods with Data Set Properties. CoRR abs/2106.15411 (2021) - [i4]Thorsten Wittkopp, Alexander Acker, Sasho Nedelkoski, Jasmin Bogatinovski, Dominik Scheinert, Wu Fan, Odej Kao:
A2Log: Attentive Augmented Log Anomaly Detection. CoRR abs/2109.09537 (2021) - 2020
- [c8]Sasho Nedelkoski, Jasmin Bogatinovski, Ajay Kumar Mandapati, Soeren Becker, Jorge Cardoso, Odej Kao:
Multi-source Distributed System Data for AI-Powered Analytics. ESOCC 2020: 161-176 - [c7]Alexander Acker, Thorsten Wittkopp, Sasho Nedelkoski, Jasmin Bogatinovski, Odej Kao:
Superiority of Simplicity: A Lightweight Model for Network Device Workload Prediction. FedCSIS 2020: 7-10 - [c6]Sasho Nedelkoski, Jasmin Bogatinovski, Alexander Acker, Jorge Cardoso, Odej Kao:
Self-Attentive Classification-Based Anomaly Detection in Unstructured Logs. ICDM 2020: 1196-1201 - [c5]Li Wu, Jasmin Bogatinovski, Sasho Nedelkoski, Johan Tordsson, Odej Kao:
Performance Diagnosis in Cloud Microservices Using Deep Learning. ICSOC Workshops 2020: 85-96 - [c4]Jasmin Bogatinovski, Sasho Nedelkoski:
Multi-source Anomaly Detection in Distributed IT Systems. ICSOC Workshops 2020: 201-213 - [c3]Sasho Nedelkoski, Jasmin Bogatinovski, Alexander Acker, Jorge Cardoso, Odej Kao:
Self-supervised Log Parsing. ECML/PKDD (4) 2020: 122-138 - [c2]Jasmin Bogatinovski, Sasho Nedelkoski, Jorge Cardoso, Odej Kao:
Self-Supervised Anomaly Detection from Distributed Traces. UCC 2020: 342-347 - [i3]Sasho Nedelkoski, Jasmin Bogatinovski, Alexander Acker, Jorge Cardoso, Odej Kao:
Self-Supervised Log Parsing. CoRR abs/2003.07905 (2020) - [i2]Alexander Acker, Thorsten Wittkopp, Sasho Nedelkoski, Jasmin Bogatinovski, Odej Kao:
Superiority of Simplicity: A Lightweight Model for Network Device Workload Prediction. CoRR abs/2007.03568 (2020) - [i1]Sasho Nedelkoski, Jasmin Bogatinovski, Alexander Acker, Jorge Cardoso, Odej Kao:
Self-Attentive Classification-Based Anomaly Detection in Unstructured Logs. CoRR abs/2008.09340 (2020)
2010 – 2019
- 2019
- [c1]Jasmin Bogatinovski, Dragi Kocev, Aleksandra Rashkovska:
Feature Extraction for Heartbeat Classification in Single-Lead ECG. MIPRO 2019: 320-325
Coauthor Index
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