How Green is AutoML for Tabular Data?

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Original languageEnglish
Title of host publicationProceedings 28th International Conference on Extending Database Technology ( EDBT 2025 )
Pages350–363
ISBN (electronic)978-3-89318-098-1
Publication statusPublished - 2025

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How Green is AutoML for Tabular Data? / Neutatz, Felix; Lindauer, Marius; Abedjan, Ziawasch.
Proceedings 28th International Conference on Extending Database Technology ( EDBT 2025 ). 2025. p. 350–363.

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Neutatz, F, Lindauer, M & Abedjan, Z 2025, How Green is AutoML for Tabular Data? in Proceedings 28th International Conference on Extending Database Technology ( EDBT 2025 ). pp. 350–363. <https://openproceedings.org/2025/conf/edbt/paper-97.pdf>
Neutatz, F., Lindauer, M., & Abedjan, Z. (2025). How Green is AutoML for Tabular Data? In Proceedings 28th International Conference on Extending Database Technology ( EDBT 2025 ) (pp. 350–363) https://openproceedings.org/2025/conf/edbt/paper-97.pdf
Neutatz F, Lindauer M, Abedjan Z. How Green is AutoML for Tabular Data? In Proceedings 28th International Conference on Extending Database Technology ( EDBT 2025 ). 2025. p. 350–363
Neutatz, Felix ; Lindauer, Marius ; Abedjan, Ziawasch. / How Green is AutoML for Tabular Data?. Proceedings 28th International Conference on Extending Database Technology ( EDBT 2025 ). 2025. pp. 350–363
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