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Cluster Analysis of a Symbolic Regression Search Space


Sep 28, 2021
Gabriel Kronberger, Lukas Kammerer, Bogdan Burlacu, Stephan M. Winkler, Michael Kommenda, Michael Affenzeller

* eIn: Banzhaf W. et al (eds) Genetic Programming Theory and Practice XVI. Genetic and Evolutionary Computation. Springer, Cham. pp 85-102 (2019) 
* Genetic Programming Theory and Practice XVI. Genetic and Evolutionary Computation. Springer 

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Symbolic Regression by Exhaustive Search: Reducing the Search Space Using Syntactical Constraints and Efficient Semantic Structure Deduplication


Sep 28, 2021
Lukas Kammerer, Gabriel Kronberger, Bogdan Burlacu, Stephan M. Winkler, Michael Kommenda, Michael Affenzeller

* In: Banzhaf W. et al (eds) Genetic Programming Theory and Practice XVII, pp 79-99 (2020) 
* Genetic and Evolutionary Computation 

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Understanding and Preparing Data of Industrial Processes for Machine Learning Applications


Sep 08, 2021
Philipp Fleck, Manfred Kügel, Michael Kommenda

* In: Moreno-D\'iaz R. et al (eds) Computer Aided Systems Theory, EUROCAST 2019. Lecture Notes in Computer Science, vol 12013 (2020) 
* International Conference on Computer Aided Systems Theory, Eurocast 2019, pp 413-420 

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Preprocessing and Modeling of Radial Fan Data for Health State Prediction


Sep 08, 2021
Florian Holzinger, Michael Kommenda

* In: Moreno-D\'iaz R. et al (eds) Computer Aided Systems Theory, Eurocast 2019. Lecture Notes in Computer Science, vol 12013 (2020) 
* International Conference on Computer Aided Systems Theory, Eurocast 2019, pp 312-318 

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Complexity Measures for Multi-objective Symbolic Regression


Sep 01, 2021
Michael Kommenda, Andreas Beham, Michael Affenzeller, Gabriel Kronberger

* In: Moreno-D\'iaz R. et al (eds) Computer Aided Systems Theory, EUROCAST 2015. Lecture Notes in Computer Science, vol 9520 (2015) 
* International Conference on Computer Aided Systems Theory, Eurocast 2015, pp 409-416 

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On the Effectiveness of Genetic Operations in Symbolic Regression


Aug 24, 2021
Bogdan Burlacu, Michael Affenzeller, Michael Kommenda

* In: Moreno-D\'iaz R. et al (eds) Computer Aided Systems Theory, EUROCAST 2015. Lecture Notes in Computer Science, Vol. 9520. Springer (2015) 
* International Conference on Computer Aided Systems Theory, Eurocast 2015, pp 367-374 

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Data Aggregation for Reducing Training Data in Symbolic Regression


Aug 24, 2021
Lukas Kammerer, Gabriel Kronberger, Michael Kommenda

* In: Moreno-D\'iaz R. et al (eds) Computer Aided Systems Theory, Eurocast 2019. Lecture Notes in Computer Science, Vol. 12013. Springer (2020) 
* International Conference on Computer Aided Systems Theory 2015, pp 378-386 

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Predicting Calibration Parameter Values for Constitutive Models using Genetic Programming


Aug 03, 2021
Gabriel Kronberger, Evgeniya Kabliman, Johannes Kronsteiner, Michael Kommenda

* Preprint submitted to Journal of Advances in Engineering Software 

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Contemporary Symbolic Regression Methods and their Relative Performance


Jul 29, 2021
William La Cava, Patryk Orzechowski, Bogdan Burlacu, Fabrício Olivetti de França, Marco Virgolin, Ying Jin, Michael Kommenda, Jason H. Moore

* To appear in Neurips 2021 Track on Datasets and Benchmarks. Main text: 10 pages, 3 figures; Appendix: 7 pages, 8 figures. https://openreview.net/forum?id=xVQMrDLyGst 

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Predicting Friction System Performance with Symbolic Regression and Genetic Programming with Factor Variables


Jul 19, 2021
Gabriel Kronberger, Michael Kommenda, Andreas Promberger, Falk Nickel

* In Proceedings of the Genetic and Evolutionary Computation Conference, pp. 1278-1285. ACM. (July 2018) 
* Genetic and Evolutionary Computation Conference (GECCO), July 15th-19th, 2018 

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Identification of Dynamical Systems using Symbolic Regression


Jul 06, 2021
Gabriel Kronberger, Lukas Kammerer, Michael Kommenda

* In Computer Aided Systems Theory - EUROCAST 2019, Series Volume 12013, pp. 370-377. Springer. (2020) 
* The final authenticated publication is available online at https://doi.org/10.1007/978-3-030-45093-9 

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Shape-constrained Symbolic Regression -- Improving Extrapolation with Prior Knowledge


Mar 29, 2021
Gabriel Kronberger, Fabricio Olivetti de França, Bogdan Burlacu, Christian Haider, Michael Kommenda


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


Feb 03, 2019
Bogdan Burlacu, Michael Affenzeller, Gabriel Kronberger, Michael Kommenda

* 8 pages, conference, submitted to congress on evolutionary computation 

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Data Mining using Unguided Symbolic Regression on a Blast Furnace Dataset


Sep 23, 2013
Michael Kommenda, Gabriel Kronberger, Christoph Feilmayr, Michael Affenzeller

* Computer Aided Systems Theory - EUROCAST 2011, Lecture Notes in Computer Science Volume 6927, 2012, pp 400-407 
* Presented at Workshop for Heuristic Problem Solving, Computer Aided Systems Theory - EUROCAST 2011. The final publication is available at http://link.springer.com/chapter/10.1007/978-3-642-27549-4_51 

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Macro-Economic Time Series Modeling and Interaction Networks


Sep 23, 2013
Gabriel Kronberger, Stefan Fink, Michael Kommenda, Michael Affenzeller

* Applications of Evolutionary Computation, LNCS 6625 (Springer Berlin Heidelberg), pp. 101-110 (2011) 
* The original publication is available at http://link.springer.com/chapter/10.1007/978-3-642-20520-0_11 

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Evolution of Covariance Functions for Gaussian Process Regression using Genetic Programming


May 22, 2013
Gabriel Kronberger, Michael Kommenda

* Presented at the Workshop "Theory and Applications of Metaheuristic Algorithms", EUROCAST2013. To appear in selected papers of Computer Aided Systems Theory - EUROCAST 2013; Volumes Editors: Roberto Moreno-D\'iaz, Franz R. Pichler, Alexis Quesada-Arencibia; LNCS Springer 

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