Genetic Programming Bibliography entries for Tilman Koenigswieser
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Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
GP coauthors/coeditors:
Michael Affenzeller,
Bogdan Burlacu,
Viktoria Dorfer,
Sebastian Dorl,
Gerhard Halmerbauer,
Michael Kommenda,
Julia Vetter,
Stephan M Winkler,
Marina Strobl,
Genetic Programming conference papers by Tilman Koenigswieser
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Marina Strobl and Julia Vetter and Gerhard Halmerbauer and Tilman Koenigswieser and Stephan M. Winkler.
Using Explainable Artificial Intelligence for Data Based Detection of Complications in Records of Patient Treatments. In
Roberto Moreno-Diaz and Franz Pichler and Alexis Quesada-Arencibia editors,
18th International Conference on Computer Aided Systems Theory, EUROCAST 2022, volume 13789, pages 173-180, Las Palmas de Gran Canaria, Spain, 2022. Springer.
Revised Selected Papers.
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Michael Affenzeller and Bogdan Burlacu and Viktoria Dorfer and Sebastian Dorl and Gerhard Halmerbauer and Tilman Koenigswieser and Michael Kommenda and Julia Vetter and Stephan M. Winkler.
White Box vs. Black Box Modeling: On the Performance of Deep Learning, Random Forests, and Symbolic Regression in Solving Regression Problems. In
Roberto Moreno-Diaz and Franz Pichler and Alexis Quesada-Arencibia editors,
17th International Conference, Computer Aided Systems Theory - EUROCAST 2019, volume 12013, pages 288-295, Las Palmas de Gran Canaria, Spain, 2019. Springer.
Revised Selected Papers, Part I.
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