| Self-attentive classification-based anomaly detection in unstructured logs S Nedelkoski, J Bogatinovski, A Acker, J Cardoso, O Kao 2020 IEEE International Conference on Data Mining (ICDM), 1196-1201, 2020 | 118 | 2020 |
| Self-supervised log parsing S Nedelkoski, J Bogatinovski, A Acker, J Cardoso, O Kao Machine Learning and Knowledge Discovery in Databases: Applied Data Science …, 2021 | 61 | 2021 |
| Detecting anomalous behavior of black-box services modeled with distance-based online clustering A Gulenko, F Schmidt, A Acker, M Wallschläger, O Kao, F Liu 2018 IEEE 11th International Conference on Cloud Computing (CLOUD), 912-915, 2018 | 36 | 2018 |
| Unsupervised anomaly event detection for cloud monitoring using online arima F Schmidt, F Suri-Payer, A Gulenko, M Wallschläger, A Acker, O Kao 2018 IEEE/ACM International Conference on Utility and Cloud Computing …, 2018 | 29 | 2018 |
| Iftm-unsupervised anomaly detection for virtualized network function services F Schmidt, A Gulenko, M Wallschläger, A Acker, V Hennig, F Liu, O Kao 2018 IEEE International Conference on Web Services (ICWS), 187-194, 2018 | 27 | 2018 |
| A2log: Attentive augmented log anomaly detection T Wittkopp, A Acker, S Nedelkoski, J Bogatinovski, D Scheinert, W Fan, ... arXiv preprint arXiv:2109.09537, 2021 | 26 | 2021 |
| Towards aiops in edge computing environments S Becker, F Schmidt, A Gulenko, A Acker, O Kao 2020 IEEE International Conference on Big Data (Big Data), 3470-3475, 2020 | 23 | 2020 |
| Robust and transferable anomaly detection in log data using pre-trained language models H Ott, J Bogatinovski, A Acker, S Nedelkoski, O Kao 2021 IEEE/ACM international workshop on cloud intelligence …, 2021 | 21 | 2021 |
| Decentralized federated learning preserves model and data privacy T Wittkopp, A Acker International Conference on Service-Oriented Computing, 176-187, 2020 | 17 | 2020 |
| Telesto: A graph neural network model for anomaly classification in cloud services D Scheinert, A Acker International Conference on Service-Oriented Computing, 214-227, 2020 | 16 | 2020 |
| Unsupervised anomaly event detection for vnf service monitoring using multivariate online arima F Schmidt, F Suri-Payer, A Gulenko, M Wallschläger, A Acker, O Kao 2018 IEEE International conference on cloud computing technology and science …, 2018 | 16 | 2018 |
| Bellamy: Reusing performance models for distributed dataflow jobs across contexts D Scheinert, L Thamsen, H Zhu, J Will, A Acker, T Wittkopp, O Kao 2021 IEEE International Conference on Cluster Computing (CLUSTER), 261-270, 2021 | 14 | 2021 |
| Ai-governance and levels of automation for aiops-supported system administration A Gulenko, A Acker, O Kao, F Liu 2020 29th International Conference on Computer Communications and Networks …, 2020 | 14 | 2020 |
| Artificial intelligence for it operations (aiops) workshop white paper J Bogatinovski, S Nedelkoski, A Acker, F Schmidt, T Wittkopp, S Becker, ... arXiv preprint arXiv:2101.06054, 2021 | 12 | 2021 |
| Microras: Automatic recovery in the absence of historical failure data for microservice systems L Wu, J Tordsson, A Acker, O Kao 2020 IEEE/ACM 13th International Conference on Utility and Cloud Computing …, 2020 | 11 | 2020 |
| Enel: Context-aware dynamic scaling of distributed dataflow jobs using graph propagation D Scheinert, H Zhu, L Thamsen, MK Geldenhuys, J Will, A Acker, O Kao 2021 IEEE International Performance, Computing, and Communications …, 2021 | 10 | 2021 |
| Learning dependencies in distributed cloud applications to identify and localize anomalies D Scheinert, A Acker, L Thamsen, MK Geldenhuys, O Kao 2021 IEEE/ACM International Workshop on Cloud Intelligence …, 2021 | 9 | 2021 |
| Loglab: Attention-based labeling of log data anomalies via weak supervision T Wittkopp, P Wiesner, D Scheinert, A Acker International Conference on Service-Oriented Computing, 700-707, 2021 | 8 | 2021 |
| Graph-based feature selection filter utilizing maximal cliques DT Schroeder, K Styp-Rekowski, F Schmidt, A Acker, O Kao 2019 Sixth International Conference on Social Networks Analysis, Management …, 2019 | 7 | 2019 |
| Online density grid pattern analysis to classify anomalies in cloud and nfv systems A Acker, F Schmidt, A Gulenko, O Kao 2018 IEEE International Conference on Cloud Computing Technology and Science …, 2018 | 7 | 2018 |
Odej KaoProfessor of Computer Science, TU BerlinDirección de correo verificada de tu-berlin.de
