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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Collaborations and top research areas from the last five years
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Projects
- 5 Finished
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Josef Ressel Zentrum für Symbolische Regression
Kronberger, G. (PI), Beneder, M. (CoI), Burlacu, B. (CoI), Haider, C. A. (CoI), Kammerer, L. (CoI), Bachinger, F. (CoI) & Jödicke, D. (CoI)
01.01.2018 → 31.12.2022
Project: Research Project
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K.I. für E-Mails
Kronberger, G. (PI) & Haider, C. A. (CoI)
01.07.2017 → 30.06.2019
Project: Research Project
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EREMA Recycling 4.0
Kronberger, G. (PI) & Kammerer, L. (CoI)
01.04.2017 → 31.12.2019
Project: Research Project
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McTronic - McTronic - Innovationslehrveranstaltung für angewandte Mechatronik
Kronberger, G. (PI)
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. (PI), Kronberger, G. (CoI), Dorfer, V. (CoI), Pitzer, E. (CoI) & Fleck, P. (CoI)
01.10.2008 → 30.09.2013
Project: Research Project
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Local Optimization Often is Ill-conditioned in Genetic Programming for Symbolic Regression.
Kronberger, G., 2023, Proceedings - 2022 24th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2022. Buchberger, B., Marin, M., Negru, V. & Zaharie, D. (eds.). IEEE, p. 304-310 7 p. (Proceedings - 2022 24th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2022).Research output: Chapter in Book/Report/Conference proceedings › Conference contribution › peer-review
2 Citations (Scopus) -
Prediction of microscopic residual stresses using genetic programming
Millán, L., Kronberger, G., Fernández, R., Bokuchava, G., Halodova, P., Sáez-Maderuelo, A., González-Doncel, G. & Hidalgo, J. I., Sept 2023, In: Applications in Engineering Science. 15, 100141.Research output: Contribution to journal › Article › peer-review
Open Access -
Reducing Overparameterization of Symbolic Regression Models with Equality Saturation
De Franca, F. O. & Kronberger, G., 15 Jul 2023, GECCO 2023 - Proceedings of the 2023 Genetic and Evolutionary Computation Conference. Association for Computing Machinery, Inc, p. 1064-1072 9 p. (GECCO 2023 - Proceedings of the 2023 Genetic and Evolutionary Computation Conference).Research output: Chapter in Book/Report/Conference proceedings › Conference contribution › peer-review
3 Citations (Scopus) -
Shape-constrained multi-objective genetic programming for symbolic regression
Haider, C., de Franca, F. O., Burlacu, B. & Kronberger, G., Jan 2023, In: Applied Soft Computing. 132, 109855.Research output: Contribution to journal › Article › peer-review
Open Access10 Citations (Scopus) -
Symbolic Regression in Materials Science: Discovering Interatomic Potentials from Data
Burlacu, B., Kommenda, M., Kronberger, G., Winkler, S. M. & Affenzeller, M., 12 Mar 2023, Genetic Programming Theory and Practice. Springer, Vol. XIX. p. 1-30 Chapter 1. (Genetic and Evolutionary Computation).Research output: Chapter in Book/Report/Conference proceedings › Chapter › peer-review
Activities
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The Genetic and Evolutionary Comutation Conference (GECCO) 2020 (Event)
Kronberger, G. (Member)
8 Jul 2020 → 12 Jul 2020Activity: Membership › Membership of committee
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Genetic and Evolutionary Computation Conference (GECCO 2019) (Event)
Kronberger, G. (Member)
13 Jul 2019 → 17 Jul 2019Activity: Membership › Membership of committee
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Genetic and Evolutionary Computation Conference (GECCO 2018) (Event)
Kronberger, G. (Member)
15 Jul 2018 → 19 Jul 2018Activity: Membership › Membership of committee
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Genetic and Evolutionary Computation Conference (GECCO 2017) (Event)
Kronberger, G. (Member)
15 Jul 2017 → 19 Jul 2017Activity: Membership › Membership of committee
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Modelling and Machine Learning for Estimation, Simulation, and Optimization
Kronberger, G. (Speaker)
28 Nov 2016Activity: Talk or presentation › Invited talk