Publications
- Introducing Estimators-Abstraction for Easy ML Employment in Self-adaptive Architectures2023 | Faculty of Mathematics and Physics
- Machine-learning abstractions for component-based self-optimizing systems2023 | Faculty of Mathematics and Physics
- Early Stopping of Non-productive Performance Testing Experiments Using Measurement Mutations2023 | Faculty of Mathematics and Physics
- Controlling Automatic Experiment-Driven Systems Using Statistics and Machine Learning2023 | Faculty of Mathematics and Physics
- Ensemble-Based Modeling Abstractions for Modern Self-optimizing Systems2022 | Faculty of Mathematics and Physics
- ML-DEECo: a Machine-Learning-Enabled Framework for Self-organizing Components2022 | Faculty of Mathematics and Physics
- Reducing Experiment Costs in Automated Software Performance Regression Detection2022 | Faculty of Mathematics and Physics
- ML-DEECo: a Machine-Learning-Enabled Framework for Self-organizing Components (software)Publication without faculty affiliation
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