Topics of Interest

The topics of interest include, but are not limited to, the following:

• Combining generated and manually engineered models
• Combining symbolic with sub-symbolic models
• Conceptual (meta-)models as background knowledge for model learning
• Explainability of learned models
• Conceptual models for enabling explainability, model validation and plausibility checking
• Trade-off between explainability and model performance
• Trade-off between comprehensibility of an explanation and its completeness
• Reasoning in generated models
• Data-driven modeling support
• Learning of meta-models
• Automatic, incremental model adaptation
• Model-driven guidance and support for data analytics lifecycle
• Conceptual models for supporting users with conducting data analysis