Publikace
- Asynchronous Evolution of Data Mining Workflow Schemes by Strongly Typed Genetic Programming2016 | Matematicko-fyzikální fakulta
- Hybrid Multi-Agent System for Metalearning in Data Mining2014 | Matematicko-fyzikální fakulta
- A Novel Meta Learning System and Its Application to Optimization of Computing Agents' Results2013 | Matematicko-fyzikální fakulta
- Combining Parameter Space Search and Meta-learning for Data-Dependent Computational Agent Recommendation2012 | Matematicko-fyzikální fakulta
- Meta Learning in Multi-agent Systems for Data Mining2011 | Matematicko-fyzikální fakulta
- Implementation of parameter space search for meta learning in a data-mining multi-agent system2011 | Matematicko-fyzikální fakulta
- Planning and acting in dynamic environments: identifying and avoiding dangerous situations2022 | Matematicko-fyzikální fakulta
- Using graph neural networks as surrogate models in genetic programming2022 | Matematicko-fyzikální fakulta
- Implementing and evaluating parallel evolutionary algorithms in modern GPU computing libraries2022 | Matematicko-fyzikální fakulta
- Training Electric Vehicle Charging Controllers with Imitation Learning2021 | Matematicko-fyzikální fakulta
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