Projects per year
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Dive into the research topics where Gabriel Kronberger is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Josef Ressel Zentrum für Symbolische Regression
Kronberger, G., Kommenda, M., Burlacu, B., Haider, C., Kammerer, L., Bachinger, F., Jödicke, D., Beneder, M. & Weiss, R.
01.01.2018 → 31.12.2022
Project: Research Project
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McTronic - McTronic - Innovationslehrveranstaltung für angewandte Mechatronik
01.10.2013 → 30.09.2017
Project: Research Project
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Josef Ressel-Zentrum für Heuristische Optimierung - Josef Ressel-Center for Heuristic Optimization
Affenzeller, M., Beham, A., Kronberger, G., Kommenda, M., Dorfer, V., Pitzer, E., Fleck, P. & Hutterer, S.
01.10.2008 → 30.09.2013
Project: Research Project
Research output
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Application of symbolic regression for constitutive modeling of plastic deformation
Kabliman, E., Kolody, A. H., Kronsteiner, J., Kommenda, M. & Kronberger, G., Jun 2021, In: Applications in Engineering Science. 6, 11 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Continuous improvement and adaptation of predictive models in smart manufacturing and model management
Bachinger, F., Kronberger, G. & Affenzeller, M., 23 Mar 2021, In: IET Collaborative Intelligent Manufacturing. 3, 1, p. 48-63Research output: Contribution to journal › Article › peer-review
Open Access -
Estimation of Grain-Level Residual Stresses in a Quenched Cylindrical Sample of Aluminum Alloy AA5083 Using Genetic Programming
Millán, L., Kronberger, G., Hidalgo, J. I., Fernández, R., Garnica, O. & González-Doncel, G., 2021, Applications of Evolutionary Computation - 24th International Conference, EvoApplications 2021, Held as Part of EvoStar 2021, Proceedings. Castillo, P. A. & Jiménez Laredo, J. L. (eds.). Springer, p. 421-436 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12694 LNCS).Research output: Chapter in Book/Report/Conference proceedings › Conference contribution › peer-review
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Shape-constrained Symbolic Regression - Improving Extrapolation with Prior Knowledge
Kronberger, G., França, F. O. D., Burlacu, B., Haider, C. & Kommenda, M., 7 Apr 2021, In: Evolutionary Computation. 24 p.Research output: Contribution to journal › Article › peer-review
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Analysis of the performance of genetic programming on the blood glucose level prediction challenge 2020
Joedicke, D., Garnica, O., Kronberger, G., Manuel Colmenar, J., Winkler, S., Manuel Velasco, J., Contador, S. & Ignacio Hidalgo, J., 2020, In: CEUR Workshop Proceedings. 2675, p. 141-145 5 p.Research output: Contribution to journal › Conference article › peer-review
2 Citations (Scopus)
Activities
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The Genetic and Evolutionary Comutation Conference (GECCO) 2020 (Event)
Gabriel Kronberger (Member)
8 Jul 2020 → 12 Jul 2020Activity: Membership › Membership of committee
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Genetic and Evolutionary Computation Conference (GECCO 2019) (Event)
Gabriel Kronberger (Member)
13 Jul 2019 → 17 Jul 2019Activity: Membership › Membership of committee
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Genetic and Evolutionary Computation Conference (GECCO 2018) (Event)
Gabriel Kronberger (Member)
15 Jul 2018 → 19 Jul 2018Activity: Membership › Membership of committee
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Genetic and Evolutionary Computation Conference (GECCO 2017) (Event)
Gabriel Kronberger (Member)
15 Jul 2017 → 19 Jul 2017Activity: Membership › Membership of committee
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Modelling and Machine Learning for Estimation, Simulation, and Optimization
Gabriel Kronberger (Speaker)
28 Nov 2016Activity: Talk or presentation › Invited talk