Patient-individual morphological anomaly detection in multi-lead electrocardiography data streams. - Alexander Acker; Florian Schmidt 006; Anton Gulenko; Reinhard Kietzmann; Odej Kao (IEEE BigData, 2017)

Detecting Anomalous Behavior of Black-Box Services Modeled with Distance-Based Online Clustering. - Anton Gulenko; Florian Schmidt 006; Alexander Acker; Marcel Wallschläger; Odej Kao; Feng Liu (IEEE CLOUD, 2018)

Online Density Grid Pattern Analysis to Classify Anomalies in Cloud and NFV Systems. - Alexander Acker; Florian Schmidt 006; Anton Gulenko; Odej Kao (CloudCom, 2018)

Unsupervised Anomaly Event Detection for VNF Service Monitoring Using Multivariate Online Arima. - Florian Schmidt 006; Florian Suri-Payer; Anton Gulenko; Marcel Wallschläger; Alexander Acker; Odej Kao (CloudCom, 2018)

Anomaly Detection for Black Box Services in Edge Clouds Using Packet Size Distribution. - Marcel Wallschläger; Anton Gulenko; Florian Schmidt 006; Alexander Acker; Odej Kao (CloudNet, 2018)

IFTM - Unsupervised Anomaly Detection for Virtualized Network Function Services. - Florian Schmidt 006; Anton Gulenko; Marcel Wallschläger; Alexander Acker; Vincent Hennig; Feng Liu; Odej Kao (ICWS, 2018)

Unsupervised Anomaly Event Detection for Cloud Monitoring Using Online Arima. - Florian Schmidt 006; Florian Suri-Payer; Anton Gulenko; Marcel Wallschläger; Alexander Acker; Odej Kao (UCC Companion, 2018)

Silent Consensus: Probabilistic Packet Sampling for Lightweight Network Monitoring. - Marcel Wallschläger; Alexander Acker; Odej Kao (ICCSA (1), 2019)

Graph-based Feature Selection Filter Utilizing Maximal Cliques. - Daniel Thilo Schroeder; Kevin Styp-Rekowski; Florian Schmidt 006; Alexander Acker; Odej Kao (SNAMS, 2019)

Bitflow: An In Situ Stream Processing Framework. - Anton Gulenko; Alexander Acker; Florian Schmidt 006; Sören Becker 001; Odej Kao (ACSOS Companion, 2020)

Towards AIOps in Edge Computing Environments. - Soeren Becker 001; Florian Schmidt 006; Anton Gulenko; Alexander Acker; Odej Kao (IEEE BigData, 2020)

Superiority of Simplicity: A Lightweight Model for Network Device Workload Prediction. - Alexander Acker; Thorsten Wittkopp; Sasho Nedelkoski; Jasmin Bogatinovski; Odej Kao (FedCSIS, 2020)

AI-Governance and Levels of Automation for AIOps-supported System Administration. - Anton Gulenko; Alexander Acker; Odej Kao; Feng Liu (ICCCN, 2020)

Self-Attentive Classification-Based Anomaly Detection in Unstructured Logs. - Sasho Nedelkoski; Jasmin Bogatinovski; Alexander Acker; Jorge Cardoso 001; Odej Kao (ICDM, 2020)

TELESTO: A Graph Neural Network Model for Anomaly Classification in Cloud Services. - Dominik Scheinert; Alexander Acker (ICSOC Workshops, 2020)

Decentralized Federated Learning Preserves Model and Data Privacy. - Thorsten Wittkopp; Alexander Acker (ICSOC Workshops, 2020)

Self-supervised Log Parsing. - Sasho Nedelkoski; Jasmin Bogatinovski; Alexander Acker; Jorge Cardoso 001; Odej Kao (ECML/PKDD (4), 2020)

MicroRAS: Automatic Recovery in the Absence of Historical Failure Data for Microservice Systems. - Li Wu; Johan Tordsson; Alexander Acker; Odej Kao (UCC, 2020)

Bellamy: Reusing Performance Models for Distributed Dataflow Jobs Across Contexts. - Dominik Scheinert; Lauritz Thamsen; Houkun Zhu; Jonathan Will; Alexander Acker; Thorsten Wittkopp; Odej Kao (CLUSTER, 2021)

LogLAB: Attention-Based Labeling of Log Data Anomalies via Weak Supervision. - Thorsten Wittkopp; Philipp Wiesner; Dominik Scheinert; Alexander Acker (ICSOC, 2021)

Enel: Context-Aware Dynamic Scaling of Distributed Dataflow Jobs using Graph Propagation. - Dominik Scheinert; Houkun Zhu; Lauritz Thamsen; Morgan K. Geldenhuys; Jonathan Will; Alexander Acker; Odej Kao (IPCCC, 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)

Learning Dependencies in Distributed Cloud Applications to Identify and Localize Anomalies. - Dominik Scheinert; Alexander Acker; Lauritz Thamsen; Morgan K. Geldenhuys; Odej Kao (CoRR, 2021)

Anomaly symptom recognition in distributed IT systems. - Alexander Acker (2021)

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)

PULL: Reactive Log Anomaly Detection Based On Iterative PU Learning. - Thorsten Wittkopp; Dominik Scheinert; Philipp Wiesner; Alexander Acker; Odej Kao (HICSS, 2023)

Progressing from Anomaly Detection to Automated Log Labeling and Pioneering Root Cause Analysis. - Thorsten Wittkopp; Alexander Acker; Odej Kao (ICDM (Workshops), 2023)