Publications
- Automatic Creation of Machine Learning Workflows with Strongly Typed Genetic Programming2017 | Faculty of Mathematics and Physics
- Multi-objective evolution of machine learning workflows2017 | Faculty of Mathematics and Physics
- Asynchronous Evolution of Data Mining Workflow Schemes by Strongly Typed Genetic Programming2016 | Faculty of Mathematics and Physics
- Generating workflow graphs using typed genetic programming2015 | Faculty of Mathematics and Physics
- Evolving Workflow Graphs Using Typed Genetic Programming2015 | Faculty of Mathematics and Physics
- Planning and acting in dynamic environments: identifying and avoiding dangerous situations2022 | Faculty of Mathematics and Physics
- Using graph neural networks as surrogate models in genetic programming2022 | Faculty of Mathematics and Physics
- Implementing and evaluating parallel evolutionary algorithms in modern GPU computing libraries2022 | Faculty of Mathematics and Physics
- Training Electric Vehicle Charging Controllers with Imitation Learning2021 | Faculty of Mathematics and Physics
- On Eventual Applicability of Plans in Dynamic Environments with Cyclic Phenomena2021 | Faculty of Mathematics and Physics
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