Predictive Modeling of Pesticides Reproductive Toxicity in Earthworms Using Interpretable Machine-Learning Techniques on Imbalanced Data

Mihkel Kotli, Geven Piir, Uko Maran

Open source

DOI
10.1021/acsomega.4c09719
Published
2025-01-30
Container
ACS Omega
Publisher
American Chemical Society (ACS)
Open access
unknown

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BibTeX

@article{allodium:10.1021/acsomega.4c09719,
  title = {Predictive Modeling of Pesticides Reproductive Toxicity in Earthworms Using Interpretable Machine-Learning Techniques on Imbalanced Data},
  author = {Mihkel Kotli and Geven Piir and Uko Maran},
  year = {2025},
  journal = {ACS Omega},
  doi = {10.1021/acsomega.4c09719},
  url = {https://doi.org/10.1021/acsomega.4c09719}
}

RIS

TY  - JOUR
TI  - Predictive Modeling of Pesticides Reproductive Toxicity in Earthworms Using Interpretable Machine-Learning Techniques on Imbalanced Data
AU  - Mihkel Kotli
AU  - Geven Piir
AU  - Uko Maran
PY  - 2025
JO  - ACS Omega
DO  - 10.1021/acsomega.4c09719
UR  - https://doi.org/10.1021/acsomega.4c09719
ER  - 

APA

Kotli, M., Piir, G., & Maran, U. (2025). Predictive Modeling of Pesticides Reproductive Toxicity in Earthworms Using Interpretable Machine-Learning Techniques on Imbalanced Data. ACS Omega. https://doi.org/10.1021/acsomega.4c09719

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