| Symbolic regression by exhaustive search: reducing the search space using syntactical constraints and efficient semantic structure deduplication L Kammerer, G Kronberger, B Burlacu, SM Winkler, M Kommenda, ... Genetic Programming Theory and Practice XVII, 79-99, 2020 | 29* | 2020 |
| Hash-based tree similarity and simplification in genetic programming for symbolic regression B Burlacu, L Kammerer, M Affenzeller, G Kronberger Computer Aided Systems Theory–EUROCAST 2019: 17th International Conference …, 2020 | 6 | 2020 |
| Cluster analysis of a symbolic regression search space G Kronberger, L Kammerer, B Burlacu, SM Winkler, M Kommenda, ... Genetic Programming Theory and Practice XVI, 85-102, 2019 | 6 | 2019 |
| Identification of dynamical systems using symbolic regression G Kronberger, L Kammerer, M Kommenda Computer Aided Systems Theory–EUROCAST 2019: 17th International Conference …, 2020 | 4 | 2020 |
| Empirical analysis of variance for genetic programming based symbolic regression L Kammerer, G Kronberger, S Winkler Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2021 | 2 | 2021 |
| Confidence-based ensemble modeling in medical data mining L Kammerer, M Affenzeller Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2018 | 1 | 2018 |
| A precise symbolic emulator of the linear matter power spectrum DJ Bartlett, L Kammerer, G Kronberger, H Desmond, PG Ferreira, ... arXiv preprint arXiv:2311.15865, 2023 | | 2023 |
| Symbolic Regression with Fast Function Extraction and Nonlinear Least Squares Optimization L Kammerer, G Kronberger, M Kommenda International Conference on Computer Aided Systems Theory, 139-146, 2022 | | 2022 |
| Data Aggregation for Reducing Training Data in Symbolic Regression L Kammerer, G Kronberger, M Kommenda Computer Aided Systems Theory–EUROCAST 2019: 17th International Conference …, 2020 | | 2020 |
Gabriel KronbergerUniversity of Applied Sciences Upper AustriaBestätigte E-Mail-Adresse bei fh-hagenberg.at
