Machine learning for large scale manufacturing data with limited information. - Sasho Nedelkoski; Goran S. Stojanovski (ICCA, 2017)

Anomaly Detection from System Tracing Data Using Multimodal Deep Learning. - Sasho Nedelkoski; Jorge Cardoso 001; Odej Kao (CLOUD, 2019)

Anomaly Detection and Classification using Distributed Tracing and Deep Learning. - Sasho Nedelkoski; Jorge Cardoso 001; Odej Kao (CCGRID, 2019)

Multilayer Active Learning for Efficient Learning and Resource Usage in Distributed IoT Architectures. - Sasho Nedelkoski; Lauritz Thamsen; Ilya Verbitskiy; Odej Kao (EDGE, 2019)

Hugo: A Cluster Scheduler that Efficiently Learns to Select Complementary Data-Parallel Jobs. - Lauritz Thamsen; Ilya Verbitskiy; Sasho Nedelkoski; Vinh Thuy Tran; Vinícius Meyer; Miguel G. Xavier; Odej Kao; César A. F. De Rose (Euro-Par Workshops, 2019)

Autoencoder-based Condition Monitoring and Anomaly Detection Method for Rotating Machines. - Sabtain Ahmad; Kevin Styp-Rekowski; Sasho Nedelkoski; Odej Kao (IEEE BigData, 2020)

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)

Learning More Expressive Joint Distributions in Multimodal Variational Methods. - Sasho Nedelkoski; Mihail Bogojeski; Odej Kao (LOD (1), 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)

Mary, Hugo, and Hugo*: Learning to schedule distributed data-parallel processing jobs on shared clusters. - Lauritz Thamsen; Jossekin Beilharz; Vinh Thuy Tran; Sasho Nedelkoski; Odej Kao (Concurr. Comput. Pract. Exp., 2021)

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)

Deep anomaly detection in distributed software systems. - Sasho Nedelkoski (2021)

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

Data augmentation for forecasting industrial aging processes via conditional multimodal generative time-series models. - Mihail Bogojeski; Nataliya Yakut; Sasho Nedelkoski; Shinichi Nakajima; Klaus-Robert Müller (Comput. Chem. Eng., 2025)