Gabriel Kronberger
Orcid: 0000-0002-3012-3189
According to our database1,
Gabriel Kronberger
authored at least 91 papers
between 2007 and 2023.
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Bibliography
2023
Learning Difference Equations with Structured Grammatical Evolution for Postprandial Glycaemia Prediction.
CoRR, 2023
Appl. Soft Comput., 2023
Identification of Surrogate Models for the Prediction of Degrees of Freedom within a Tolerance Chain.
Proceedings of the 4th International Conference on Industry 4.0 and Smart Manufacturing (ISM 2023), 2023
Reducing Overparameterization of Symbolic Regression Models with Equality Saturation.
Proceedings of the Genetic and Evolutionary Computation Conference, 2023
2022
Shape-Constrained Symbolic Regression - Improving Extrapolation with Prior Knowledge.
Evol. Comput., 2022
Identifying Differential Equations to predict Blood Glucose using Sparse Identification of Nonlinear Systems.
CoRR, 2022
Prediction Intervals and Confidence Regions for Symbolic Regression Models based on Likelihood Profiles.
CoRR, 2022
Symbolic Regression in Materials Science: Discovering Interatomic Potentials from Data.
CoRR, 2022
Identification of Discrete Non-Linear Dynamics of a Radio-Frequency Power Amplifier Circuit using Symbolic Regression.
Proceedings of the 24th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2022
Proceedings of the 24th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2022
Local Optimization Often is Ill-conditioned in Genetic Programming for Symbolic Regression.
Proceedings of the 24th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2022
Comparing optimistic and pessimistic constraint evaluation in shape-constrained symbolic regression.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022
Symbolic Regression with Fast Function Extraction and Nonlinear Least Squares Optimization.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2022, 2022
Identifying Differential Equations for the Prediction of Blood Glucose using Sparse Identification of Nonlinear Systems.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2022, 2022
Proceedings of the Computer Aided Systems Theory - EUROCAST 2022, 2022
Proceedings of the Computer Aided Systems Theory - EUROCAST 2022, 2022
2021
Predicting Calibration Parameter Values for Constitutive Models using Genetic Programming.
CoRR, 2021
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
Estimation of Grain-Level Residual Stresses in a Quenched Cylindrical Sample of Aluminum Alloy AA5083 Using Genetic Programming.
Proceedings of the Applications of Evolutionary Computation, 2021
2020
Multilayer analysis of population diversity in grammatical evolution for symbolic regression.
Soft Comput., 2020
Genet. Program. Evolvable Mach., 2020
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
Analysis of the performance of Genetic Programming on the Blood Glucose Level Prediction Challenge 2020.
Proceedings of the 5th International Workshop on Knowledge Discovery in Healthcare Data co-located with 24th European Conference on Artificial Intelligence, 2020
2019
Symbolic Regression by Exhaustive Search: Reducing the Search Space Using Syntactical Constraints and Efficient Semantic Structure Deduplication.
Proceedings of the Genetic Programming Theory and Practice XVII [GPTP 2019, 2019
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019
Proceedings of the Computer Aided Systems Theory - EUROCAST 2019, 2019
Proceedings of the Computer Aided Systems Theory - EUROCAST 2019, 2019
Proceedings of the Computer Aided Systems Theory - EUROCAST 2019, 2019
Hash-Based Tree Similarity and Simplification in Genetic Programming for Symbolic Regression.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2019, 2019
Concept for a Technical Infrastructure for Management of Predictive Models in Industrial Applications.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2019, 2019
Online Diversity Control in Symbolic Regression via a Fast Hash-based Tree Similarity Measure.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
Proceedings of the Machine Learning and Knowledge Extraction, 2019
2018
Using robust generalized fuzzy modeling and enhanced symbolic regression to model tribological systems.
Appl. Soft Comput., 2018
Proceedings of the Genetic Programming Theory and Practice XVI, 2018
Predicting friction system performance with symbolic regression and genetic programming with factor variables.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018
Identification of Models for Glucose Blood Values in Diabetics by Grammatical Evolution.
Proceedings of the Handbook of Grammatical Evolution, 2018
2017
J. Medical Syst., 2017
Proceedings of the Genetic Programming Theory and Practice XV, 2017
Dynamic observation of genotypic and phenotypic diversity for different symbolic regression GP variants.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017
Proceedings of the Computer Aided Systems Theory - EUROCAST 2017, 2017
Proceedings of the Computer Aided Systems Theory - EUROCAST 2017, 2017
Proceedings of the Computer Aided Systems Theory - EUROCAST 2017, 2017
Proceedings of the Computer Aided Systems Theory - EUROCAST 2017, 2017
Offspring Selection Genetic Algorithm Revisited: Improvements in Efficiency by Early Stopping Criteria in the Evaluation of Unsuccessful Individuals.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2017, 2017
2016
Int. J. Simul. Process. Model., 2016
Robust Fuzzy Modeling and Symbolic Regression for Establishing Accurate and Interpretable Prediction Models in Supervising Tribological Systems.
Proceedings of the 8th International Joint Conference on Computational Intelligence, 2016
Similarity-Based Analysis of Population Dynamics in Genetic Programming Performing Symbolic Regression.
Proceedings of the Genetic Programming Theory and Practice XIV, 2016
Predicting Glycemia in Diabetic Patients By Evolutionary Computation and Continuous Glucose Monitoring.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016
2015
Proceedings of the Computational Intelligence and Efficiency in Engineering Systems, 2015
Search Strategies for Grammatical Optimization Problems - Alternatives to Grammar-Guided Genetic Programming.
Proceedings of the Computational Intelligence and Efficiency in Engineering Systems, 2015
Proceedings of the Computational Intelligence and Efficiency in Engineering Systems, 2015
Proceedings of the Computational Intelligence and Efficiency in Engineering Systems, 2015
Dynamics of Predictability and Variable Influences Identified in Financial Data Using Sliding Window Machine Learning.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2015, 2015
Smooth Symbolic Regression: Transformation of Symbolic Regression into a Real-Valued Optimization Problem.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2015, 2015
Using Contextual Information in Sequential Search for Grammatical Optimization Problems.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2015, 2015
Proceedings of the Computer Aided Systems Theory - EUROCAST 2015, 2015
2014
Using FE Calculations and Data-Based System Identification Techniques to Model the Nonlinear Behavior of PMSMs.
IEEE Trans. Ind. Electron., 2014
Proceedings of the Genetic Programming Theory and Practice XII, 2014
Proceedings of the Genetic and Evolutionary Computation Conference, 2014
Proceedings of the Genetic and Evolutionary Computation Conference, 2014
2013
On the use of estimated tumour marker classifications in tumour diagnosis prediction - a case study for breast cancer.
Int. J. Simul. Process. Model., 2013
Genet. Program. Evolvable Mach., 2013
Proceedings of the Genetic Programming Theory and Practice XI [GPTP 2013, 2013
GPDL: a framework-independent problem definition language for grammar-guided genetic programming.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013
Effects of constant optimization by nonlinear least squares minimization in symbolic regression.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013
Visualization of genetic lineages and inheritance information in genetic programming.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013
Evolution of Covariance Functions for Gaussian Process Regression Using Genetic Programming.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2013, 2013
Proceedings of the Computer Aided Systems Theory - EUROCAST 2013, 2013
Proceedings of the Computer Aided Systems Theory - EUROCAST 2013, 2013
2012
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012
Algorithm and experiment design with heuristic lab: an open source optimization environment for research and education.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012
On the architecture and implementation of tree-based genetic programming in HeuristicLab.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012
Proceedings of the First International Workshop on Knowledge Discovery and Data Mining Meets Linked Open Data, 2012
2011
Algorithm and experiment design with heuristiclab: an open source optimization environment for research and education.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011
Overfitting detection and adaptive covariant parsimony pressure for symbolic regression.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011
Proceedings of the Applications of Evolutionary Computation, 2011
Proceedings of the Applications of Evolutionary Computation, 2011
Improving the Parsimony of Regression Models for an Enhanced Genetic Programming Process.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2011, 2011
Analysis of Selected Evolutionary Algorithms in Feature Selection and Parameter Optimization for Data Based Tumor Marker Modeling.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2011, 2011
Proceedings of the Computer Aided Systems Theory - EUROCAST 2011, 2011
Proceedings of the Computer Aided Systems Theory - EUROCAST 2011, 2011
Proceedings of the Computer Aided Systems Theory - EUROCAST 2011, 2011
2009
Proceedings of the Genetic Programming, 12th European Conference, 2009
Proceedings of the Computer Aided Systems Theory, 2009
On the Success Rate of Crossover Operators for Genetic Programming with Offspring Selection.
Proceedings of the Computer Aided Systems Theory, 2009
Priority Rule Generation with a Genetic Algorithm to Minimize Sequence Dependent Setup Costs.
Proceedings of the Computer Aided Systems Theory, 2009
2007
Proceedings of the Computer Aided Systems Theory, 2007
Bandit-Based Monte-Carlo Planning for the Single-Machine Total Weighted Tardiness Scheduling Problem.
Proceedings of the Computer Aided Systems Theory, 2007