{"id":"doi:10.1016/j.watres.2023.120667","kind":"article","title":"Machine learning for modeling N2O emissions from wastewater treatment plants: Aligning model performance, complexity, and interpretability","authors":["Mostafa Khalil","Ahmed AlSayed","Yang Liu","Peter A. Vanrolleghem"],"author_count":4,"year":2023,"published":"2023-09-24","venue":"Water Research","cited_by":116,"doi":"10.1016/j.watres.2023.120667","arxiv_id":null,"nct_id":null,"source_url":"https://doi.org/10.1016/j.watres.2023.120667","archive_url":"https://space-kitty.com/papers/doi:10.1016/j.watres.2023.120667","updated":null,"pmid":"37778084","pmcid":null,"openalex_id":"W4386999101","pdf_url":null,"abstract":null,"abstract_license":null,"license":null,"is_open_access":false,"retracted":false,"peer_reviewed":null,"categories":["Wastewater Treatment and Nitrogen Removal"],"details":null,"provenance":"openalex","attribution":"Metadata and citation counts: OpenAlex (CC0).","topics":[{"slug":"interpretability","name":"Mechanistic Interpretability","domain_slug":"ai"}],"cited_in_dossiers":[]}