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Sasho Nedelkoski
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2020 – today
- 2022
- [c18]Jasmin Bogatinovski, Gjorgji Madjarov, Sasho Nedelkoski, Jorge Cardoso, Odej Kao:
Leveraging Log Instructions in Log-based Anomaly Detection. SCC 2022: 321-326 - [c17]Jasmin Bogatinovski, Sasho Nedelkoski, Li Wu
, Jorge Cardoso, Odej Kao:
Failure Identification from Unstable Log Data using Deep Learning. CCGRID 2022: 346-355 - [c16]Thorsten Wittkopp, Alexander Acker, Sasho Nedelkoski, Jasmin Bogatinovski, Dominik Scheinert, Wu Fan, Odej Kao:
A2Log: Attentive Augmented Log Anomaly Detection. HICSS 2022: 1-10 - [c15]Jasmin Bogatinovski, Sasho Nedelkoski, Alexander Acker, Jorge Cardoso, Odej Kao:
QuLog: data-driven approach for log instruction quality assessment. ICPC 2022: 275-286 - [i13]Jasmin Bogatinovski, Sasho Nedelkoski, Alexander Acker, Jorge Cardoso, Odej Kao:
Data-Driven Approach for Log Instruction Quality Assessment. CoRR abs/2204.02618 (2022) - [i12]Jasmin Bogatinovski, Sasho Nedelkoski, Li Wu, Jorge Cardoso, Odej Kao:
Failure Identification from Unstable Log Data using Deep Learning. CoRR abs/2204.02636 (2022) - [i11]Jasmin Bogatinovski, Gjorgji Madjarov, Sasho Nedelkoski, Jorge Cardoso, Odej Kao:
Leveraging Log Instructions in Log-based Anomaly Detection. CoRR abs/2207.03206 (2022) - 2021
- [b1]Sasho Nedelkoski:
Deep anomaly detection in distributed software systems. Technical University of Berlin, Germany, 2021 - [j1]Lauritz Thamsen
Mary, Hugo, and Hugo*: Learning to schedule distributed data-parallel processing jobs on shared clusters. Concurr. Comput. Pract. Exp. 33(18) (2021) - [i10]Jasmin Bogatinovski, Sasho Nedelkoski:
Multi-Source Anomaly Detection in Distributed IT Systems. CoRR abs/2101.04977 (2021) - [i9]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) - [i8]Sabtain Ahmad, Kevin Styp-Rekowski, Sasho Nedelkoski, Odej Kao:
Autoencoder-based Condition Monitoring and Anomaly Detection Method for Rotating Machines. CoRR abs/2101.11539 (2021) - [i7]Lauritz Thamsen, Ilya Verbitskiy, Sasho Nedelkoski, Vinh Thuy Tran, Vinícius Meyer, Miguel G. Xavier, Odej Kao, César A. F. De Rose:
Hugo: A Cluster Scheduler that Efficiently Learns to Select Complementary Data-Parallel Jobs. CoRR abs/2102.07199 (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]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
- [c14]Sabtain Ahmad, Kevin Styp-Rekowski, Sasho Nedelkoski, Odej Kao:
Autoencoder-based Condition Monitoring and Anomaly Detection Method for Rotating Machines. IEEE BigData 2020: 4093-4102 - [c13]Sasho Nedelkoski, Jasmin Bogatinovski, Ajay Kumar Mandapati, Soeren Becker, Jorge Cardoso
Multi-source Distributed System Data for AI-Powered Analytics. ESOCC 2020: 161-176 - [c12]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 - [c11]Sasho Nedelkoski, Jasmin Bogatinovski, Alexander Acker, Jorge Cardoso, Odej Kao:
Self-Attentive Classification-Based Anomaly Detection in Unstructured Logs. ICDM 2020: 1196-1201 - [c10]Li Wu, Jasmin Bogatinovski, Sasho Nedelkoski, Johan Tordsson, Odej Kao:
Performance Diagnosis in Cloud Microservices Using Deep Learning. ICSOC Workshops 2020: 85-96 - [c9]Jasmin Bogatinovski, Sasho Nedelkoski:
Multi-source Anomaly Detection in Distributed IT Systems. ICSOC Workshops 2020: 201-213 - [c8]Sasho Nedelkoski, Mihail Bogojeski, Odej Kao:
Learning More Expressive Joint Distributions in Multimodal Variational Methods. LOD (1) 2020: 137-149 - [c7]Sasho Nedelkoski, Jasmin Bogatinovski, Alexander Acker, Jorge Cardoso, Odej Kao:
Self-supervised Log Parsing. ECML/PKDD (4) 2020: 122-138 - [c6]Jasmin Bogatinovski, Sasho Nedelkoski, Jorge Cardoso
Self-Supervised Anomaly Detection from Distributed Traces. UCC 2020: 342-347 - [i4]Sasho Nedelkoski, Jasmin Bogatinovski, Alexander Acker, Jorge Cardoso, Odej Kao:
Self-Supervised Log Parsing. CoRR abs/2003.07905 (2020) - [i3]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) - [i2]Sasho Nedelkoski, Jasmin Bogatinovski, Alexander Acker, Jorge Cardoso, Odej Kao:
Self-Attentive Classification-Based Anomaly Detection in Unstructured Logs. CoRR abs/2008.09340 (2020) - [i1]Sasho Nedelkoski, Mihail Bogojeski, Odej Kao:
Learning more expressive joint distributions in multimodal variational methods. CoRR abs/2009.03651 (2020)
2010 – 2019
- 2019
- [c5]Sasho Nedelkoski, Jorge Cardoso
Anomaly Detection from System Tracing Data Using Multimodal Deep Learning. CLOUD 2019: 179-186 - [c4]Sasho Nedelkoski, Jorge Cardoso
Anomaly Detection and Classification using Distributed Tracing and Deep Learning. CCGRID 2019: 241-250 - [c3]Sasho Nedelkoski, Lauritz Thamsen, Ilya Verbitskiy, Odej Kao:
Multilayer Active Learning for Efficient Learning and Resource Usage in Distributed IoT Architectures. EDGE 2019: 8-12 - [c2]Lauritz Thamsen, Ilya Verbitskiy, Sasho Nedelkoski, Vinh Thuy Tran, Vinícius Meyer
Hugo: A Cluster Scheduler that Efficiently Learns to Select Complementary Data-Parallel Jobs. Euro-Par Workshops 2019: 519-530 - 2017
- [c1]Sasho Nedelkoski, Goran S. Stojanovski:
Machine learning for large scale manufacturing data with limited information. ICCA 2017: 70-75
Coauthor Index
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last updated on 2024-08-05 20:25 CEST by the dblp team
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