Michael Kommenda

According to our database, Michael Kommenda authored at least 63 papers between 2009 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Interpretable Symbolic Regression for Data Science: Analysis of the 2022 Competition.

Fabrício Olivetti de França, Marco Virgolin, Michael Kommenda, Maimuna S. Majumder, Miles D. Cranmer, Guilherme Espada, Leon Ingelse, Alcides Fonseca, Mikel Landajuela, Brenden K. Petersen, Ruben Glatt, T. Nathan Mundhenk, C. S. Lee, Jacob D. Hochhalter, David L. Randall, P. Kamienny, H. Zhang, Grant Dick, A. Simon, Bogdan Burlacu, Jaan Kasak, Meera Vieira Machado, Casper Wilstrup, William G. La Cava

CoRR, 2023

Vectorial Genetic Programming - Optimizing Segments for Feature Extraction.

Philipp Fleck, Stephan M. Winkler, Michael Kommenda, Michael Affenzeller

CoRR, 2023

Evolutionary Algorithms for Segment Optimization in Vectorial GP.

Philipp Fleck, Stephan M. Winkler, Michael Kommenda, Sara Silva, Leonardo Vanneschi, Michael Affenzeller

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

2022

Shape-Constrained Symbolic Regression - Improving Extrapolation with Prior Knowledge.

Gabriel Kronberger, Fabrício Olivetti de França, Bogdan Burlacu, Christian Haider, Michael Kommenda

Evol. Comput., 2022

Symbolic Regression in Materials Science: Discovering Interatomic Potentials from Data.

Bogdan Burlacu, Michael Kommenda, Gabriel Kronberger, Stephan M. Winkler, Michael Affenzeller

CoRR, 2022

Application of Symbolic Regression in Polymer Processing.

Wolfgang Roland, Michael Kommenda, Gerald R. Berger-Weber

Proceedings of the 24th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2022

Symbolic Regression with Fast Function Extraction and Nonlinear Least Squares Optimization.

Lukas Kammerer, Gabriel Kronberger, Michael Kommenda

Proceedings of the Computer Aided Systems Theory - EUROCAST 2022, 2022

2021

Predicting Calibration Parameter Values for Constitutive Models using Genetic Programming.

Gabriel Kronberger, Evgeniya Kabliman, Johannes Kronsteiner, Michael Kommenda

CoRR, 2021

Contemporary Symbolic Regression Methods and their Relative Performance.

William G. La Cava, Patryk Orzechowski, Bogdan Burlacu, Fabrício Olivetti de França, Marco Virgolin, Ying Jin, Michael Kommenda, Jason H. Moore

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

2020

Parameter identification for symbolic regression using nonlinear least squares.

Michael Kommenda, Bogdan Burlacu, Gabriel Kronberger, Michael Affenzeller

Genet. Program. Evolvable Mach., 2020

Operon C++: an efficient genetic programming framework for symbolic regression.

Bogdan Burlacu, Gabriel Kronberger, Michael Kommenda

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.

Lukas Kammerer, Gabriel Kronberger, Bogdan Burlacu, Stephan M. Winkler, Michael Kommenda, Michael Affenzeller

Proceedings of the Genetic Programming Theory and Practice XVII [GPTP 2019, 2019

Parsimony measures in multi-objective genetic programming for symbolic regression.

Bogdan Burlacu, Gabriel Kronberger, Michael Kommenda, Michael Affenzeller

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Identification of Dynamical Systems Using Symbolic Regression.

Gabriel Kronberger, Lukas Kammerer, Michael Kommenda

Proceedings of the Computer Aided Systems Theory - EUROCAST 2019, 2019

Data Aggregation for Reducing Training Data in Symbolic Regression.

Lukas Kammerer, Gabriel Kronberger, Michael Kommenda

Proceedings of the Computer Aided Systems Theory - EUROCAST 2019, 2019

Preprocessing and Modeling of Radial Fan Data for Health State Prediction.

Florian Holzinger, Michael Kommenda

Proceedings of the Computer Aided Systems Theory - EUROCAST 2019, 2019

Understanding and Preparing Data of Industrial Processes for Machine Learning Applications.

Philipp Fleck, Manfred Kügel, Michael Kommenda

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.

Michael Affenzeller, Bogdan Burlacu, Viktoria Dorfer, Sebastian Dorl, Gerhard Halmerbauer, Tilman Königswieser, Michael Kommenda, Julia Vetter, Stephan M. Winkler

Proceedings of the Computer Aided Systems Theory - EUROCAST 2019, 2019

Online Diversity Control in Symbolic Regression via a Fast Hash-based Tree Similarity Measure.

Bogdan Burlacu, Michael Affenzeller, Gabriel Kronberger, Michael Kommenda

Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018

Novel robustness measures for engineering design optimisation.

Philipp Fleck, Michael Kommenda, Thorsten Prante, Michael Affenzeller

Int. J. Simul. Process. Model., 2018

Using robust generalized fuzzy modeling and enhanced symbolic regression to model tribological systems.

Gabriel Kronberger, Michael Kommenda, Edwin Lughofer, Susanne Saminger-Platz, Andreas Promberger, Falk Nickel, Stephan M. Winkler, Michael Affenzeller

Appl. Soft Comput., 2018

Cluster Analysis of a Symbolic Regression Search Space.

Gabriel Kronberger, Lukas Kammerer, Bogdan Burlacu, Stephan M. Winkler, Michael Kommenda, Michael Affenzeller

Proceedings of the Genetic Programming Theory and Practice XVI, 2018

Predicting friction system performance with symbolic regression and genetic programming with factor variables.

Gabriel Kronberger, Michael Kommenda, Andreas Promberger, Falk Nickel

Proceedings of the Genetic and Evolutionary Computation Conference, 2018

2017

Schema Analysis in Tree-Based Genetic Programming.

Bogdan Burlacu, Michael Affenzeller, Michael Kommenda, Gabriel Kronberger, Stephan M. Winkler

Proceedings of the Genetic Programming Theory and Practice XV, 2017

Towards the design and implementation of optimization networks in HeuristicLab.

Johannes Karder, Stefan Wagner, Andreas Beham, Michael Kommenda, Michael Affenzeller

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Dynamic observation of genotypic and phenotypic diversity for different symbolic regression GP variants.

Michael Affenzeller, Stephan M. Winkler, Bogdan Burlacu, Gabriel Kronberger, Michael Kommenda, Stefan Wagner

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Measures for the Evaluation and Comparison of Graphical Model Structures.

Gabriel Kronberger, Bogdan Burlacu, Michael Kommenda, Stephan M. Winkler, Michael Affenzeller

Proceedings of the Computer Aided Systems Theory - EUROCAST 2017, 2017

Optimization Networks for Integrated Machine Learning.

Michael Kommenda, Johannes Karder, Andreas Beham, Bogdan Burlacu, Gabriel Kronberger, Stefan Wagner, Michael Affenzeller

Proceedings of the Computer Aided Systems Theory - EUROCAST 2017, 2017

Analysis of Schema Frequencies in Genetic Programming.

Bogdan Burlacu, Michael Affenzeller, Michael Kommenda, Gabriel Kronberger, Stephan M. Winkler

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.

Michael Affenzeller, Bogdan Burlacu, Stephan M. Winkler, Michael Kommenda, Gabriel Kronberger, Stefan Wagner

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.

Edwin Lughofer, Gabriel Kronberger, Michael Kommenda, Susanne Saminger-Platz, Andreas Promberger, Falk Nickel, Stephan M. Winkler, Michael Affenzeller

Proceedings of the 8th International Joint Conference on Computational Intelligence, 2016

Similarity-Based Analysis of Population Dynamics in Genetic Programming Performing Symbolic Regression.

Stephan M. Winkler, Michael Affenzeller, Bogdan Burlacu, Gabriel Kronberger, Michael Kommenda, Philipp Fleck

Proceedings of the Genetic Programming Theory and Practice XIV, 2016

2015

Search Strategies for Grammatical Optimization Problems - Alternatives to Grammar-Guided Genetic Programming.

Gabriel Kronberger, Michael Kommenda

Proceedings of the Computational Intelligence and Efficiency in Engineering Systems, 2015

Multi-Population Genetic Programming with Data Migration for Symbolic Regression.

Michael Kommenda, Michael Affenzeller, Gabriel Kronberger, Bogdan Burlacu, Stephan M. Winkler

Proceedings of the Computational Intelligence and Efficiency in Engineering Systems, 2015

Methods for Genealogy and Building Block Analysis in Genetic Programming.

Bogdan Burlacu, Michael Affenzeller, Stephan M. Winkler, Michael Kommenda, Gabriel Kronberger

Proceedings of the Computational Intelligence and Efficiency in Engineering Systems, 2015

Simplifying Problem Definitions in the HeuristicLab Optimization Environment.

Andreas Scheibenpflug, Andreas Beham, Michael Kommenda, Johannes Karder, Stefan Wagner, Michael Affenzeller

Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Dynamics of Predictability and Variable Influences Identified in Financial Data Using Sliding Window Machine Learning.

Stephan M. Winkler, Gabriel Kronberger, Michael Kommenda, Stefan Fink, Michael Affenzeller

Proceedings of the Computer Aided Systems Theory - EUROCAST 2015, 2015

Using Contextual Information in Sequential Search for Grammatical Optimization Problems.

Gabriel Kronberger, Michael Kommenda, Stephan M. Winkler, Michael Affenzeller

Proceedings of the Computer Aided Systems Theory - EUROCAST 2015, 2015

Complexity Measures for Multi-objective Symbolic Regression.

Michael Kommenda, Andreas Beham, Michael Affenzeller, Gabriel Kronberger

Proceedings of the Computer Aided Systems Theory - EUROCAST 2015, 2015

On the Effectiveness of Genetic Operations in Symbolic Regression.

Bogdan Burlacu, Michael Affenzeller, Michael Kommenda

Proceedings of the Computer Aided Systems Theory - EUROCAST 2015, 2015

Optimization Strategies for Integrated Knapsack and Traveling Salesman Problems.

Andreas Beham, Judith Fechter, Michael Kommenda, Stefan Wagner, Stephan M. Winkler, Michael Affenzeller

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.

Gerd Bramerdorfer, Stephan M. Winkler, Michael Kommenda, Günther Weidenholzer, Siegfried Silber, Gabriel Kronberger, Michael Affenzeller, Wolfgang Amrhein

IEEE Trans. Ind. Electron., 2014

Sliding Window Symbolic Regression for Detecting Changes of System Dynamics.

Stephan M. Winkler, Michael Affenzeller, Gabriel Kronberger, Michael Kommenda, Bogdan Burlacu, Stefan Wagner

Proceedings of the Genetic Programming Theory and Practice XII, 2014

Genetic programming with data migration for symbolic regression.

Michael Kommenda, Michael Affenzeller, Bogdan Burlacu, Gabriel Kronberger, Stephan M. Winkler

Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Scripting and framework integration in heuristic optimization environments.

Andreas Beham, Johannes Karder, Gabriel Kronberger, Stefan Wagner, Michael Kommenda, Andreas Scheibenpflug

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.

Stephan M. Winkler, Michael Affenzeller, Gabriel Kronberger, Michael Kommenda, Stefan Wagner, Viktoria Dorfer, Witold Jacak, Herbert Stekel

Int. J. Simul. Process. Model., 2013

Gaining Deeper Insights in Symbolic Regression.

Michael Affenzeller, Stephan M. Winkler, Gabriel Kronberger, Michael Kommenda, Bogdan Burlacu, Stefan Wagner

Proceedings of the Genetic Programming Theory and Practice XI [GPTP 2013, 2013

GPDL: a framework-independent problem definition language for grammar-guided genetic programming.

Gabriel Kronberger, Michael Kommenda, Stefan Wagner, Heinz Dobler

Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Effects of constant optimization by nonlinear least squares minimization in symbolic regression.

Michael Kommenda, Gabriel Kronberger, Stephan M. Winkler, Michael Affenzeller, Stefan Wagner

Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Visualization of genetic lineages and inheritance information in genetic programming.

Bogdan Burlacu, Michael Affenzeller, Michael Kommenda, Stephan M. Winkler, Gabriel Kronberger

Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Structural Synthesis of Dispatching Rules for Dynamic Dial-a-Ride Problems.

Stefan Vonolfen, Andreas Beham, Michael Kommenda, Michael Affenzeller

Proceedings of the Computer Aided Systems Theory - EUROCAST 2013, 2013

Evolution of Covariance Functions for Gaussian Process Regression Using Genetic Programming.

Gabriel Kronberger, Michael Kommenda

Proceedings of the Computer Aided Systems Theory - EUROCAST 2013, 2013

Nonlinear Least Squares Optimization of Constants in Symbolic Regression.

Michael Kommenda, Michael Affenzeller, Gabriel Kronberger, Stephan M. Winkler

Proceedings of the Computer Aided Systems Theory - EUROCAST 2013, 2013

On the Evolutionary Behavior of Genetic Programming with Constants Optimization.

Bogdan Burlacu, Michael Affenzeller, Michael Kommenda

Proceedings of the Computer Aided Systems Theory - EUROCAST 2013, 2013

2012

Knowledge Discovery through Symbolic Regression with HeuristicLab.

Gabriel Kronberger, Stefan Wagner, Michael Kommenda, Andreas Beham, Andreas Scheibenpflug, Michael Affenzeller

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

On the architecture and implementation of tree-based genetic programming in HeuristicLab.

Michael Kommenda, Gabriel Kronberger, Stefan Wagner, Stephan M. Winkler, Michael Affenzeller

Proceedings of the Genetic and Evolutionary Computation Conference, 2012

2011

Overfitting detection and adaptive covariant parsimony pressure for symbolic regression.

Gabriel Kronberger, Michael Kommenda, Michael Affenzeller

Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Macro-economic Time Series Modeling and Interaction Networks.

Gabriel Kronberger, Stefan Fink, Michael Kommenda, Michael Affenzeller

Proceedings of the Applications of Evolutionary Computation, 2011

Data Mining Using Unguided Symbolic Regression on a Blast Furnace Dataset.

Michael Kommenda, Gabriel Kronberger, Christoph Feilmayr, Michael Affenzeller

Proceedings of the Applications of Evolutionary Computation, 2011

Improving the Parsimony of Regression Models for an Enhanced Genetic Programming Process.

Alexandru-Ciprian Zavoianu, Gabriel Kronberger, Michael Kommenda, Daniela Zaharie, Michael Affenzeller

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.

Stephan M. Winkler, Michael Affenzeller, Gabriel Kronberger, Michael Kommenda, Stefan Wagner, Witold Jacak, Herbert Stekel

Proceedings of the Computer Aided Systems Theory - EUROCAST 2011, 2011

Application of Symbolic Regression on Blast Furnace and Temper Mill Datasets.

Michael Kommenda, Gabriel Kronberger, Christoph Feilmayr, Leonhard Schickmair, Michael Affenzeller, Stephan M. Winkler, Stefan Wagner

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.

Christian Frech, Michael Kommenda, Viktoria Dorfer, Thomas Kern, Helmut Hintner, Johann W. Bauer, Kamil Önder

BMC Bioinform., 2009