Sasho Nedelkoski

36 papers A* 1A 1B 3C 1Misc 1Journal 17Unranked 11

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Data augmentation for forecasting industrial aging processes via conditional multimodal generative time-series models. Comput. Chem. Eng. Mihail Bogojeski, Nataliya Yakut, Sasho Nedelkoski, Shinichi Nakajima, Klaus-Robert Müller
2025	J	`jnl`	Distributed Low-Communication Training with Decoupled Momentum Optimization. CoRR Sasho Nedelkoski, Alexander Acker, Odej Kao, Sören Becker, Dominik Scheinert
2025	J	`jnl`	What happens when nanochat meets DiLoCo? CoRR Alexander Acker, Sören Becker, Sasho Nedelkoski, Dominik Scheinert, Odej Kao, Philipp Wiesner
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`	Data-Driven Approach for Log Instruction Quality Assessment. CoRR Jasmin Bogatinovski, Sasho Nedelkoski, Alexander Acker, Jorge Cardoso, Odej Kao
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	—	`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`	Autoencoder-based Condition Monitoring and Anomaly Detection Method for Rotating Machines. CoRR Sabtain Ahmad, Kevin Styp-Rekowski, Sasho Nedelkoski, Odej Kao
2021	—	`—`	Deep anomaly detection in distributed software systems. Sasho Nedelkoski
2021	J	`jnl`	Hugo: A Cluster Scheduler that Efficiently Learns to Select Complementary Data-Parallel Jobs. CoRR Lauritz Thamsen, Ilya Verbitskiy, Sasho Nedelkoski, Vinh Thuy Tran, Vinícius Meyer, Miguel G. Xavier, Odej Kao, César A. F. De Rose
2021	J	`jnl`	Mary, Hugo, and Hugo*: Learning to schedule distributed data-parallel processing jobs on shared clusters. Concurr. Comput. Pract. Exp. Lauritz Thamsen, Jossekin Beilharz, Vinh Thuy Tran, Sasho Nedelkoski, Odej Kao
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`	Autoencoder-based Condition Monitoring and Anomaly Detection Method for Rotating Machines. IEEE BigData Sabtain Ahmad, Kevin Styp-Rekowski, Sasho Nedelkoski, Odej Kao
2020	—	`conf`	Learning More Expressive Joint Distributions in Multimodal Variational Methods. LOD (1) Sasho Nedelkoski, Mihail Bogojeski, Odej Kao
2020	J	`jnl`	Learning more expressive joint distributions in multimodal variational methods. CoRR Sasho Nedelkoski, Mihail Bogojeski, 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	B	`conf`	Anomaly Detection and Classification using Distributed Tracing and Deep Learning. CCGRID Sasho Nedelkoski, Jorge Cardoso, Odej Kao
2019	B	`conf`	Anomaly Detection from System Tracing Data Using Multimodal Deep Learning. CLOUD Sasho Nedelkoski, Jorge Cardoso, Odej Kao
2019	—	`conf`	Hugo: A Cluster Scheduler that Efficiently Learns to Select Complementary Data-Parallel Jobs. Euro-Par Workshops Lauritz Thamsen, Ilya Verbitskiy, Sasho Nedelkoski, Vinh Thuy Tran, Vinícius Meyer, Miguel G. Xavier, Odej Kao, César A. F. De Rose
2019	—	`conf`	Multilayer Active Learning for Efficient Learning and Resource Usage in Distributed IoT Architectures. EDGE Sasho Nedelkoski, Lauritz Thamsen, Ilya Verbitskiy, Odej Kao
2017	—	`conf`	Machine learning for large scale manufacturing data with limited information. ICCA Sasho Nedelkoski, Goran S. Stojanovski