Publications
- Modeling Machine Learning Concerns in Collective Adaptive Systems2023 | Faculty of Mathematics and Physics
- 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
- Online ML Self-adaptation in Face of Traps2023 | 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
- Super Mario A-Star Agent Revisited2021 | Faculty of Mathematics and Physics
- IVIS: Highly customizable framework for visualization and processing of IoT data2020 | Faculty of Mathematics and Physics
- High-Level Awareness FrameworkPublication without faculty affiliation
- FitOptiVis Visualization FrameworkPublication without faculty affiliation
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