Green-AutoML for Plastic Litter Detection

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

Authors

Research Organisations

External Research Organisations

  • German Research Centre for Artificial Intelligence (DFKI)
View graph of relations

Details

Original languageEnglish
Title of host publicationProceedings of the ICLR Workshop on Tackling Climate Change with Machine Learning
Number of pages7
Publication statusPublished - Apr 2023

Sustainable Development Goals

Cite this

Green-AutoML for Plastic Litter Detection. / Theodorakopoulos, Daphne; Manß, Christoph; Stahl, Frederic et al.
Proceedings of the ICLR Workshop on Tackling Climate Change with Machine Learning. 2023.

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

Theodorakopoulos, D, Manß, C, Stahl, F & Lindauer, M 2023, Green-AutoML for Plastic Litter Detection. in Proceedings of the ICLR Workshop on Tackling Climate Change with Machine Learning. <https://www.climatechange.ai/papers/iclr2023/53>
Theodorakopoulos, D., Manß, C., Stahl, F., & Lindauer, M. (2023). Green-AutoML for Plastic Litter Detection. In Proceedings of the ICLR Workshop on Tackling Climate Change with Machine Learning https://www.climatechange.ai/papers/iclr2023/53
Theodorakopoulos D, Manß C, Stahl F, Lindauer M. Green-AutoML for Plastic Litter Detection. In Proceedings of the ICLR Workshop on Tackling Climate Change with Machine Learning. 2023
Theodorakopoulos, Daphne ; Manß, Christoph ; Stahl, Frederic et al. / Green-AutoML for Plastic Litter Detection. Proceedings of the ICLR Workshop on Tackling Climate Change with Machine Learning. 2023.
Download
@inproceedings{0ea4ae700cd84024b92fc28faae5f7bf,
title = "Green-AutoML for Plastic Litter Detection",
author = "Daphne Theodorakopoulos and Christoph Man{\ss} and Frederic Stahl and Marius Lindauer",
note = "We thank Wolf et al. (2020) for the insights, and access to the data and the system. Marius Lindauer was supported by the German Federal Ministry of the Environment, Nature Conservation, Nuclear Safety and Consumer Protection (GreenAutoML4FAS project no. 67KI32007A). The DFKI Niedersachsen (DFKI NI) is funded in the ”zukunft.niedersachsen” by the Lower Saxony Ministry of Science and Culture and the Volkswagen Foundation (funding no. ZM3480).",
year = "2023",
month = apr,
language = "English",
booktitle = "Proceedings of the ICLR Workshop on Tackling Climate Change with Machine Learning",

}

Download

TY - GEN

T1 - Green-AutoML for Plastic Litter Detection

AU - Theodorakopoulos, Daphne

AU - Manß, Christoph

AU - Stahl, Frederic

AU - Lindauer, Marius

N1 - We thank Wolf et al. (2020) for the insights, and access to the data and the system. Marius Lindauer was supported by the German Federal Ministry of the Environment, Nature Conservation, Nuclear Safety and Consumer Protection (GreenAutoML4FAS project no. 67KI32007A). The DFKI Niedersachsen (DFKI NI) is funded in the ”zukunft.niedersachsen” by the Lower Saxony Ministry of Science and Culture and the Volkswagen Foundation (funding no. ZM3480).

PY - 2023/4

Y1 - 2023/4

M3 - Conference contribution

BT - Proceedings of the ICLR Workshop on Tackling Climate Change with Machine Learning

ER -

By the same author(s)