| Can We Predict Performance Events with Time Series Data from Monitoring Multiple Systems? A Schörgenhumer, M Kahlhofer, P Grünbacher, H Mössenböck Companion of the 2019 ACM/SPEC International Conference on Performance …, 2019 | 10 | 2019 |
| Applying Optimizations for Dynamically-typed Languages to Java M Grimmer, S Marr, M Kahlhofer, C Wimmer, T Würthinger, H Mössenböck Proceedings of the 14th International Conference on Managed Languages and …, 2017 | 8 | 2017 |
| A Framework for Preprocessing Multivariate, Topology-Aware Time Series and Event Data in a Multi-System Environment A Schörgenhumer, M Kahlhofer, P Chalupar, P Grünbacher, ... 2019 IEEE 19th International Symposium on High Assurance Systems Engineering …, 2019 | 4 | 2019 |
| Using Crash Frequency Analysis to Identify Error-prone Software Technologies in Multi-System Monitoring A Schörgenhumer, M Kahlhofer, H Mössenböck, P Grünbacher 2018 IEEE International Conference on Software Quality, Reliability and …, 2018 | 3 | 2018 |
| Towards reconstructing multi-step cyber attacks in modern cloud environments with tripwires M Kahlhofer, M Hölzl, A Berger Proceedings of the 2020 European Interdisciplinary Cybersecurity Conference, 1-2, 2020 | 2 | 2020 |
| Using Multi-System Monitoring Time Series to Predict Performance Events A Schörgenhumer, M Kahlhofer, P Chalupar, H Mössenböck, ... Gesellschaft für Informatik eV, 2019 | 2 | 2019 |
| An Approach for Ranking Feature-based Clustering Methods and its Application in Multi-System Infrastructure Monitoring A Schörgenhumer, T Natschläger, P Grünbacher, M Kahlhofer, ... 2021 47th Euromicro Conference on Software Engineering and Advanced …, 2021 | 1 | 2021 |
| On the Difficulties of Supervised Event Prediction based on Unbalanced Real-World Data in Multi-System Monitoring A Schörgenhumer, M Kahlhofer, P Chalupar, H Mössenböck, ... | 1* | |
| Benchmarking Function Hook Latency in Cloud-Native Environments M Kahlhofer, P Kern, S Henning, S Rass arXiv preprint arXiv:2310.12702, 2023 | | 2023 |
| Exploring Supervised Event Prediction in Multi-System Monitoring M Kahlhofer Universität Linz, 2019 | | 2019 |
| Context-Aware Security Intelligence of Vulnerability Scanners in Cloud-native Environments S Ammer, J Krösche, M Gierlinger, M Kahlhofer | | |
Andreas SchörgenhumerJohannes Kepler University LinzBestätigte E-Mail-Adresse bei jku.at
Andreas SchörgenhumerJohannes Kepler University LinzBestätigte E-Mail-Adresse bei jku.at