Michael Affenzeller, Bogdan Burlacu, Viktoria Dorfer, Sebastian Dorl, Gerhard Halmerbauer, Tilman Königswieser, Michael Kommenda, Julia Vetter, 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-Díaz, Franz Pichler, Alexis Quesada-Arencibia, editors, Computer Aided Systems Theory - EUROCAST 2019 - 17th International Conference, Las Palmas de Gran Canaria, Spain, February 17-22, 2019, Revised Selected Papers, Part I. Volume 12013 of Lecture Notes in Computer Science, pages 288-295, Springer, 2019. [doi]
@inproceedings{AffenzellerBDDH19,
title = {White Box vs. Black Box Modeling: On the Performance of Deep Learning, Random Forests, and Symbolic Regression in Solving Regression Problems},
author = {Michael Affenzeller and Bogdan Burlacu and Viktoria Dorfer and Sebastian Dorl and Gerhard Halmerbauer and Tilman Königswieser and Michael Kommenda and Julia Vetter and Stephan M. Winkler},
year = {2019},
doi = {10.1007/978-3-030-45093-9_35},
url = {https://doi.org/10.1007/978-3-030-45093-9_35},
researchr = {https://researchr.org/publication/AffenzellerBDDH19},
cites = {0},
citedby = {0},
pages = {288-295},
booktitle = {Computer Aided Systems Theory - EUROCAST 2019 - 17th International Conference, Las Palmas de Gran Canaria, Spain, February 17-22, 2019, Revised Selected Papers, Part I},
editor = {Roberto Moreno-Díaz and Franz Pichler and Alexis Quesada-Arencibia},
volume = {12013},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-030-45093-9},
}