Victoria Ashley-Wheeler

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Scholarly Papers (1)

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Edna2iqi: An Edna/Random Forest-Based Prediction Tool that Accurately Predicts Ecological Status for Regulatory-Compliance

Number of pages: 39 Posted: 15 Apr 2025
Adam James Wyness, Thorsten Stoeck, Barbara Morrissey, Iain Berrill, Kirsten Davidson, Connie Fairbairn, Stephen MacIntyre, Chris Webb, Tim Foster, Stevie Brain, Dasha Svobodova, Charley Clark, Victoria Ashley-Wheeler, Esmee Roosenmaallen, Peter Pollard and Thomas Wilding
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Leiden University, affiliation not provided to SSRN and affiliation not provided to SSRN
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Aquaculture, Biomonitoring, Co-development, Environmental Monitoring, Supervised machine learning.