Michael Kommenda
Orcid: 0000-0003-2049-723X
According to our database1,
Michael Kommenda
authored at least 65 papers
between 2009 and 2023.
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Bibliography
2023
Interpretable Symbolic Regression for Data Science: Analysis of the 2022 Competition.
CoRR, 2023
CoRR, 2023
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023
2022
Shape-Constrained Symbolic Regression - Improving Extrapolation with Prior Knowledge.
Evol. Comput., 2022
Proceedings of the 24th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2022
Symbolic Regression in Materials Science: Discovering Interatomic Potentials from Data.
Proceedings of the Genetic Programming Theory and Practice XIX [GPTP 2022], 2022
Symbolic Regression with Fast Function Extraction and Nonlinear Least Squares Optimization.
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 Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021
Proceedings of the Genetic Programming Theory and Practice XVIII [GPTP 2021]., 2021
2020
Genet. Program. Evolvable Mach., 2020
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 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
Understanding and Preparing Data of Industrial Processes for Machine Learning Applications.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2019, 2019
White Box vs. Black Box Modeling: On the Performance of Deep Learning, Random Forests, and Symbolic Regression in Solving Regression Problems.
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
2018
Int. J. Simul. Process. Model., 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
2017
Proceedings of the Genetic Programming Theory and Practice XV, 2017
Proceedings of the Genetic and Evolutionary Computation Conference, 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
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
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
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
Proceedings of the Genetic Programming Theory and Practice XIII [GPTP 2015]., 2015
Proceedings of the Genetic and Evolutionary Computation Conference, 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
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
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
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
Proceedings of the Computer Aided Systems Theory - EUROCAST 2013, 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
On the architecture and implementation of tree-based genetic programming in HeuristicLab.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012
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
2009
Improved homology-driven computational validation of protein-protein interactions motivated by the evolutionary gene duplication and divergence hypothesis.
BMC Bioinform., 2009