Michael Kommenda

85 papers A 1B 1Misc 1Journal 29Unranked 50

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	SRBench++: Principled Benchmarking of Symbolic Regression With Domain-Expert Interpretation. IEEE Trans. Evol. Comput. 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, Chak Shing Lee, Jacob D. Hochhalter, David L. Randall, P. Kamienny, Hengzhe Zhang, Grant Dick, Alessandro Simon, Bogdan Burlacu, Jaan Kasak, Meera Vieira Machado, Casper Wilstrup, William G. La Cava
2024	—	`conf`	Vectorial Genetic Programming - Optimizing Segments for Feature Extraction. EUROCAST (1) Philipp Fleck, Stephan Winkler, Michael Kommenda, Michael Affenzeller
2023	—	`conf`	Evolutionary Algorithms for Segment Optimization in Vectorial GP. GECCO Companion Philipp Fleck, Stephan M. Winkler, Michael Kommenda, Sara Silva, Leonardo Vanneschi, Michael Affenzeller
2023	J	`jnl`	Interpretable Symbolic Regression for Data Science: Analysis of the 2022 Competition. CoRR 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, Chak Shing Lee, Jacob D. Hochhalter, David L. Randall, P. Kamienny, H. Zhang, Grant Dick, Alessandro Simon, Bogdan Burlacu, Jaan Kasak, Meera Vieira Machado, Casper Wilstrup, William G. La Cava
2023	J	`jnl`	Vectorial Genetic Programming - Optimizing Segments for Feature Extraction. CoRR Philipp Fleck, Stephan M. Winkler, Michael Kommenda, Michael Affenzeller
2022	Misc	`conf`	Application of Symbolic Regression in Polymer Processing. SYNASC Wolfgang Roland, Michael Kommenda, Gerald R. Berger-Weber
2022	J	`jnl`	Shape-Constrained Symbolic Regression - Improving Extrapolation with Prior Knowledge. Evol. Comput. Gabriel Kronberger, Fabrício Olivetti de França, Bogdan Burlacu, Christian Haider, Michael Kommenda
2022	—	`conf`	Symbolic Regression in Materials Science: Discovering Interatomic Potentials from Data. GPTP Bogdan Burlacu, Michael Kommenda, Gabriel Kronberger, Stephan M. Winkler, Michael Affenzeller
2022	J	`jnl`	Symbolic Regression in Materials Science: Discovering Interatomic Potentials from Data. CoRR Bogdan Burlacu, Michael Kommenda, Gabriel Kronberger, Stephan M. Winkler, Michael Affenzeller
2022	—	`conf`	Symbolic Regression with Fast Function Extraction and Nonlinear Least Squares Optimization. EUROCAST Lukas Kammerer, Gabriel Kronberger, Michael Kommenda
2022	J	`jnl`	Symbolic Regression with Fast Function Extraction and Nonlinear Least Squares Optimization. CoRR Lukas Kammerer, Gabriel Kronberger, Michael Kommenda
2021	J	`jnl`	Cluster Analysis of a Symbolic Regression Search Space. CoRR Gabriel Kronberger, Lukas Kammerer, Bogdan Burlacu, Stephan M. Winkler, Michael Kommenda, Michael Affenzeller
2021	J	`jnl`	Complexity Measures for Multi-objective Symbolic Regression. CoRR Michael Kommenda, Andreas Beham, Michael Affenzeller, Gabriel Kronberger
2021	—	`conf`	Contemporary Symbolic Regression Methods and their Relative Performance. NeurIPS Datasets and Benchmarks William G. La Cava, Patryk Orzechowski, Bogdan Burlacu, Fabrício Olivetti de França, Marco Virgolin, Ying Jin, Michael Kommenda, Jason H. Moore
2021	J	`jnl`	Contemporary Symbolic Regression Methods and their Relative Performance. CoRR William G. La Cava, Patryk Orzechowski, Bogdan Burlacu, Fabrício Olivetti de França, Marco Virgolin, Ying Jin, Michael Kommenda, Jason H. Moore
2021	J	`jnl`	Data Aggregation for Reducing Training Data in Symbolic Regression. CoRR Lukas Kammerer, Gabriel Kronberger, Michael Kommenda
2021	—	`conf`	Grammar-Based Vectorial Genetic Programming for Symbolic Regression. GPTP Philipp Fleck, Stephan M. Winkler, Michael Kommenda, Michael Affenzeller
2021	J	`jnl`	Identification of Dynamical Systems using Symbolic Regression. CoRR Gabriel Kronberger, Lukas Kammerer, Michael Kommenda
2021	J	`jnl`	On the Effectiveness of Genetic Operations in Symbolic Regression. CoRR Bogdan Burlacu, Michael Affenzeller, Michael Kommenda
2021	J	`jnl`	Optimization Networks for Integrated Machine Learning. CoRR Michael Kommenda, Johannes Karder, Andreas Beham, Bogdan Burlacu, Gabriel Kronberger, Stefan Wagner, Michael Affenzeller
2021	J	`jnl`	Predicting Calibration Parameter Values for Constitutive Models using Genetic Programming. CoRR Gabriel Kronberger, Evgeniya Kabliman, Johannes Kronsteiner, Michael Kommenda
2021	J	`jnl`	Predicting Friction System Performance with Symbolic Regression and Genetic Programming with Factor Variables. CoRR Gabriel Kronberger, Michael Kommenda, Andreas Promberger, Falk Nickel
2021	J	`jnl`	Preprocessing and Modeling of Radial Fan Data for Health State Prediction. CoRR Florian Holzinger, Michael Kommenda
2021	J	`jnl`	Shape-constrained Symbolic Regression - Improving Extrapolation with Prior Knowledge. CoRR Gabriel Kronberger, Fabrício Olivetti de França, Bogdan Burlacu, Christian Haider, Michael Kommenda
2021	J	`jnl`	Symbolic Regression by Exhaustive Search: Reducing the Search Space Using Syntactical Constraints and Efficient Semantic Structure Deduplication. CoRR Lukas Kammerer, Gabriel Kronberger, Bogdan Burlacu, Stephan M. Winkler, Michael Kommenda, Michael Affenzeller
2021	J	`jnl`	Understanding and Preparing Data of Industrial Processes for Machine Learning Applications. CoRR Philipp Fleck, Manfred Kügel, Michael Kommenda
2020	—	`conf`	Operon C++: an efficient genetic programming framework for symbolic regression. GECCO Companion Bogdan Burlacu, Gabriel Kronberger, Michael Kommenda
2020	J	`jnl`	Parameter identification for symbolic regression using nonlinear least squares. Genet. Program. Evolvable Mach. Michael Kommenda, Bogdan Burlacu, Gabriel Kronberger, Michael Affenzeller
2019	—	`conf`	Data Aggregation for Reducing Training Data in Symbolic Regression. EUROCAST (1) Lukas Kammerer, Gabriel Kronberger, Michael Kommenda
2019	—	`conf`	Identification of Dynamical Systems Using Symbolic Regression. EUROCAST (1) Gabriel Kronberger, Lukas Kammerer, Michael Kommenda
2019	B	`conf`	Online Diversity Control in Symbolic Regression via a Fast Hash-based Tree Similarity Measure. CEC Bogdan Burlacu, Michael Affenzeller, Gabriel Kronberger, Michael Kommenda
2019	J	`jnl`	Online Diversity Control in Symbolic Regression via a Fast Hash-based Tree Similarity Measure. CoRR Bogdan Burlacu, Michael Affenzeller, Gabriel Kronberger, Michael Kommenda
2019	—	`conf`	Parsimony measures in multi-objective genetic programming for symbolic regression. GECCO (Companion) Bogdan Burlacu, Gabriel Kronberger, Michael Kommenda, Michael Affenzeller
2019	—	`conf`	Preprocessing and Modeling of Radial Fan Data for Health State Prediction. EUROCAST (1) Florian Holzinger, Michael Kommenda
2019	—	`conf`	Symbolic Regression by Exhaustive Search: Reducing the Search Space Using Syntactical Constraints and Efficient Semantic Structure Deduplication. GPTP Lukas Kammerer, Gabriel Kronberger, Bogdan Burlacu, Stephan M. Winkler, Michael Kommenda, Michael Affenzeller
2019	—	`conf`	Understanding and Preparing Data of Industrial Processes for Machine Learning Applications. EUROCAST (1) Philipp Fleck, Manfred Kügel, Michael Kommenda
2019	—	`conf`	White Box vs. Black Box Modeling: On the Performance of Deep Learning, Random Forests, and Symbolic Regression in Solving Regression Problems. EUROCAST (1) Michael Affenzeller, Bogdan Burlacu, Viktoria Dorfer, Sebastian Dorl, Gerhard Halmerbauer, Tilman Königswieser, Michael Kommenda, Julia Vetter, Stephan M. Winkler
2018	—	`conf`	Cluster Analysis of a Symbolic Regression Search Space. GPTP Gabriel Kronberger, Lukas Kammerer, Bogdan Burlacu, Stephan M. Winkler, Michael Kommenda, Michael Affenzeller
2018	J	`jnl`	Novel robustness measures for engineering design optimisation. Int. J. Simul. Process. Model. Philipp Fleck, Michael Kommenda, Thorsten Prante, Michael Affenzeller
2018	A	`conf`	Predicting friction system performance with symbolic regression and genetic programming with factor variables. GECCO Gabriel Kronberger, Michael Kommenda, Andreas Promberger, Falk Nickel
2018	J	`jnl`	Using robust generalized fuzzy modeling and enhanced symbolic regression to model tribological systems. Appl. Soft Comput. Gabriel Kronberger, Michael Kommenda, Edwin Lughofer, Susanne Saminger-Platz, Andreas Promberger, Falk Nickel, Stephan M. Winkler, Michael Affenzeller
2017	—	`conf`	Analysis of Schema Frequencies in Genetic Programming. EUROCAST (1) Bogdan Burlacu, Michael Affenzeller, Michael Kommenda, Gabriel Kronberger, Stephan M. Winkler
2017	—	`conf`	Dynamic observation of genotypic and phenotypic diversity for different symbolic regression GP variants. GECCO (Companion) Michael Affenzeller, Stephan M. Winkler, Bogdan Burlacu, Gabriel Kronberger, Michael Kommenda, Stefan Wagner
2017	—	`conf`	Measures for the Evaluation and Comparison of Graphical Model Structures. EUROCAST (1) Gabriel Kronberger, Bogdan Burlacu, Michael Kommenda, Stephan M. Winkler, Michael Affenzeller
2017	—	`conf`	Offspring Selection Genetic Algorithm Revisited: Improvements in Efficiency by Early Stopping Criteria in the Evaluation of Unsuccessful Individuals. EUROCAST (1) Michael Affenzeller, Bogdan Burlacu, Stephan M. Winkler, Michael Kommenda, Gabriel Kronberger, Stefan Wagner
2017	—	`conf`	Optimization Networks for Integrated Machine Learning. EUROCAST (1) Michael Kommenda, Johannes Karder, Andreas Beham, Bogdan Burlacu, Gabriel Kronberger, Stefan Wagner, Michael Affenzeller
2017	—	`conf`	Schema Analysis in Tree-Based Genetic Programming. GPTP Bogdan Burlacu, Michael Affenzeller, Michael Kommenda, Gabriel Kronberger, Stephan M. Winkler
2017	—	`conf`	Towards the design and implementation of optimization networks in HeuristicLab. GECCO (Companion) Johannes Karder, Stefan Wagner, Andreas Beham, Michael Kommenda, Michael Affenzeller
2016	—	`conf`	Robust Fuzzy Modeling and Symbolic Regression for Establishing Accurate and Interpretable Prediction Models in Supervising Tribological Systems. IJCCI (FCTA) Edwin Lughofer, Gabriel Kronberger, Michael Kommenda, Susanne Saminger-Platz, Andreas Promberger, Falk Nickel, Stephan M. Winkler, Michael Affenzeller
2016	—	`conf`	Similarity-Based Analysis of Population Dynamics in Genetic Programming Performing Symbolic Regression. GPTP Stephan M. Winkler, Michael Affenzeller, Bogdan Burlacu, Gabriel Kronberger, Michael Kommenda, Philipp Fleck
2015	—	`conf`	Complexity Measures for Multi-objective Symbolic Regression. EUROCAST Michael Kommenda, Andreas Beham, Michael Affenzeller, Gabriel Kronberger
2015	—	`conf`	Dynamics of Predictability and Variable Influences Identified in Financial Data Using Sliding Window Machine Learning. EUROCAST Stephan M. Winkler, Gabriel Kronberger, Michael Kommenda, Stefan Fink, Michael Affenzeller
2015	—	`conf`	Evolving Simple Symbolic Regression Models by Multi-Objective Genetic Programming. GPTP Michael Kommenda, Gabriel Kronberger, Michael Affenzeller, Stephan M. Winkler, Bogdan Burlacu
2015	—	`ch.`	Methods for Genealogy and Building Block Analysis in Genetic Programming. Computational Intelligence and Efficiency in Engineering Systems Bogdan Burlacu, Michael Affenzeller, Stephan M. Winkler, Michael Kommenda, Gabriel Kronberger
2015	—	`ch.`	Multi-Population Genetic Programming with Data Migration for Symbolic Regression. Computational Intelligence and Efficiency in Engineering Systems Michael Kommenda, Michael Affenzeller, Gabriel Kronberger, Bogdan Burlacu, Stephan M. Winkler
2015	—	`conf`	On the Effectiveness of Genetic Operations in Symbolic Regression. EUROCAST Bogdan Burlacu, Michael Affenzeller, Michael Kommenda
2015	—	`conf`	Optimization Strategies for Integrated Knapsack and Traveling Salesman Problems. EUROCAST Andreas Beham, Judith Fechter, Michael Kommenda, Stefan Wagner, Stephan M. Winkler, Michael Affenzeller
2015	—	`ch.`	Search Strategies for Grammatical Optimization Problems - Alternatives to Grammar-Guided Genetic Programming. Computational Intelligence and Efficiency in Engineering Systems Gabriel Kronberger, Michael Kommenda
2015	—	`conf`	Simplifying Problem Definitions in the HeuristicLab Optimization Environment. GECCO (Companion) Andreas Scheibenpflug, Andreas Beham, Michael Kommenda, Johannes Karder, Stefan Wagner, Michael Affenzeller
2015	—	`conf`	Using Contextual Information in Sequential Search for Grammatical Optimization Problems. EUROCAST Gabriel Kronberger, Michael Kommenda, Stephan M. Winkler, Michael Affenzeller
2014	—	`conf`	Genetic programming with data migration for symbolic regression. GECCO (Companion) Michael Kommenda, Michael Affenzeller, Bogdan Burlacu, Gabriel Kronberger, Stephan M. Winkler
2014	—	`conf`	Scripting and framework integration in heuristic optimization environments. GECCO (Companion) Andreas Beham, Johannes Karder, Gabriel Kronberger, Stefan Wagner, Michael Kommenda, Andreas Scheibenpflug
2014	—	`conf`	Sliding Window Symbolic Regression for Detecting Changes of System Dynamics. GPTP Stephan M. Winkler, Michael Affenzeller, Gabriel Kronberger, Michael Kommenda, Bogdan Burlacu, Stefan Wagner
2014	J	`jnl`	Using FE Calculations and Data-Based System Identification Techniques to Model the Nonlinear Behavior of PMSMs. IEEE Trans. Ind. Electron. Gerd Bramerdorfer, Stephan M. Winkler, Michael Kommenda, Günther Weidenholzer, Siegfried Silber, Gabriel Kronberger, Michael Affenzeller, Wolfgang Amrhein
2013	J	`jnl`	Data Mining using Unguided Symbolic Regression on a Blast Furnace Dataset. CoRR Michael Kommenda, Gabriel Kronberger, Christoph Feilmayr, Michael Affenzeller
2013	—	`conf`	Effects of constant optimization by nonlinear least squares minimization in symbolic regression. GECCO (Companion) Michael Kommenda, Gabriel Kronberger, Stephan M. Winkler, Michael Affenzeller, Stefan Wagner
2013	—	`conf`	Evolution of Covariance Functions for Gaussian Process Regression Using Genetic Programming. EUROCAST (1) Gabriel Kronberger, Michael Kommenda
2013	J	`jnl`	Evolution of Covariance Functions for Gaussian Process Regression using Genetic Programming CoRR Gabriel Kronberger, Michael Kommenda
2013	—	`conf`	GPDL: a framework-independent problem definition language for grammar-guided genetic programming. GECCO (Companion) Gabriel Kronberger, Michael Kommenda, Stefan Wagner, Heinz Dobler
2013	—	`conf`	Gaining Deeper Insights in Symbolic Regression. GPTP Michael Affenzeller, Stephan M. Winkler, Gabriel Kronberger, Michael Kommenda, Bogdan Burlacu, Stefan Wagner
2013	—	`conf`	Nonlinear Least Squares Optimization of Constants in Symbolic Regression. EUROCAST (1) Michael Kommenda, Michael Affenzeller, Gabriel Kronberger, Stephan M. Winkler
2013	—	`conf`	On the Evolutionary Behavior of Genetic Programming with Constants Optimization. EUROCAST (1) Bogdan Burlacu, Michael Affenzeller, Michael Kommenda
2013	J	`jnl`	On the use of estimated tumour marker classifications in tumour diagnosis prediction - a case study for breast cancer. Int. J. Simul. Process. Model. Stephan M. Winkler, Michael Affenzeller, Gabriel Kronberger, Michael Kommenda, Stefan Wagner, Viktoria Dorfer, Witold Jacak, Herbert Stekel
2013	—	`conf`	Structural Synthesis of Dispatching Rules for Dynamic Dial-a-Ride Problems. EUROCAST (1) Stefan Vonolfen, Andreas Beham, Michael Kommenda, Michael Affenzeller
2013	—	`conf`	Visualization of genetic lineages and inheritance information in genetic programming. GECCO (Companion) Bogdan Burlacu, Michael Affenzeller, Michael Kommenda, Stephan M. Winkler, Gabriel Kronberger
2012	—	`conf`	Knowledge Discovery through Symbolic Regression with HeuristicLab. ECML/PKDD (2) Gabriel Kronberger, Stefan Wagner, Michael Kommenda, Andreas Beham, Andreas Scheibenpflug, Michael Affenzeller
2012	J	`jnl`	Macro-Economic Time Series Modeling and Interaction Networks CoRR Gabriel Kronberger, Stefan Fink, Michael Kommenda, Michael Affenzeller
2012	—	`conf`	On the architecture and implementation of tree-based genetic programming in HeuristicLab. GECCO (Companion) Michael Kommenda, Gabriel Kronberger, Stefan Wagner, Stephan M. Winkler, Michael Affenzeller
2011	—	`conf`	Analysis of Selected Evolutionary Algorithms in Feature Selection and Parameter Optimization for Data Based Tumor Marker Modeling. EUROCAST (1) Stephan M. Winkler, Michael Affenzeller, Gabriel Kronberger, Michael Kommenda, Stefan Wagner, Witold Jacak, Herbert Stekel
2011	—	`conf`	Application of Symbolic Regression on Blast Furnace and Temper Mill Datasets. EUROCAST (1) Michael Kommenda, Gabriel Kronberger, Christoph Feilmayr, Leonhard Schickmair, Michael Affenzeller, Stephan M. Winkler, Stefan Wagner
2011	—	`conf`	Data Mining Using Unguided Symbolic Regression on a Blast Furnace Dataset. EvoApplications (1) Michael Kommenda, Gabriel Kronberger, Christoph Feilmayr, Michael Affenzeller
2011	—	`conf`	Improving the Parsimony of Regression Models for an Enhanced Genetic Programming Process. EUROCAST (1) Alexandru-Ciprian Zavoianu, Gabriel Kronberger, Michael Kommenda, Daniela Zaharie, Michael Affenzeller
2011	—	`conf`	Macro-economic Time Series Modeling and Interaction Networks. EvoApplications (2) Gabriel Kronberger, Stefan Fink, Michael Kommenda, Michael Affenzeller
2011	—	`conf`	Overfitting detection and adaptive covariant parsimony pressure for symbolic regression. GECCO (Companion) Gabriel Kronberger, Michael Kommenda, Michael Affenzeller
2009	J	`jnl`	Improved homology-driven computational validation of protein-protein interactions motivated by the evolutionary gene duplication and divergence hypothesis. BMC Bioinform. Christian Frech, Michael Kommenda, Viktoria Dorfer, Thomas Kern, Helmut Hintner, Johann W. Bauer, Kamil Önder