{"id":"doi:10.1016/j.eswa.2017.05.029","kind":"article","title":"An extensive evaluation of seven machine learning methods for rainfall prediction in weather derivatives","authors":["Sam Cramer","Michael Kampouridis","Alex Alves Freitas","Antonis Alexandridis"],"author_count":4,"year":2017,"published":"2017-05-12","venue":"Expert Systems with Applications","cited_by":215,"doi":"10.1016/j.eswa.2017.05.029","arxiv_id":null,"nct_id":null,"source_url":"https://doi.org/10.1016/j.eswa.2017.05.029","archive_url":"https://space-kitty.com/papers/doi:10.1016/j.eswa.2017.05.029","updated":null,"pmid":null,"pmcid":null,"openalex_id":"W2612828053","pdf_url":"https://kar.kent.ac.uk/61742/1/ESWA2017-AcceptedManuscript.pdf","abstract":null,"abstract_license":null,"license":null,"is_open_access":true,"retracted":false,"peer_reviewed":null,"categories":["Hydrological Forecasting Using AI"],"details":null,"provenance":"openalex","attribution":"Metadata and citation counts: OpenAlex (CC0).","topics":[{"slug":"ai-weather-climate","name":"AI Weather & Climate Modeling","domain_slug":"energy"}],"cited_in_dossiers":[]}