Details
| Original language | English |
|---|---|
| Title of host publication | Proceedings of EDBT 2025 |
| ISBN (electronic) | 978-3-89318-098-1 |
| Publication status | Accepted/In press - Oct 2024 |
Sustainable Development Goals
Cite this
- Standard
- Harvard
- Apa
- Vancouver
- BibTeX
- RIS
How Green is AutoML for Tabular Data? / Neutatz, Felix; Lindauer, Marius; Abedjan, Ziawasch.
Proceedings of EDBT 2025. 2025.
Proceedings of EDBT 2025. 2025.
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
Neutatz, F, Lindauer, M & Abedjan, Z 2025, How Green is AutoML for Tabular Data? in Proceedings of EDBT 2025. <https://openproceedings.org/2025/conf/edbt/paper-97.pdf>
Neutatz, F., Lindauer, M., & Abedjan, Z. (Accepted/in press). How Green is AutoML for Tabular Data? In Proceedings of EDBT 2025 https://openproceedings.org/2025/conf/edbt/paper-97.pdf
Neutatz F, Lindauer M, Abedjan Z. How Green is AutoML for Tabular Data? In Proceedings of EDBT 2025. 2025
Download
@inproceedings{6bb5714b0eb44b1ab24ad09b9c2aafcb,
title = "How Green is AutoML for Tabular Data?",
author = "Felix Neutatz and Marius Lindauer and Ziawasch Abedjan",
year = "2024",
month = oct,
language = "English",
booktitle = "Proceedings of EDBT 2025",
}
Download
TY - GEN
T1 - How Green is AutoML for Tabular Data?
AU - Neutatz, Felix
AU - Lindauer, Marius
AU - Abedjan, Ziawasch
PY - 2024/10
Y1 - 2024/10
M3 - Conference contribution
BT - Proceedings of EDBT 2025
ER -