Author

F. de Luca Lopes de Amorim

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Ecology· 1

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Research Focus:benchmarking· 1 Approach:machine learning (classical)· 1 Assay:metagenomics· 1

Frequent Co-Authors

G. Lohmann· 1 shared J. Rick· 1 shared K. H. Wiltshire· 1 shared

Activity by Year

2021-2021 · peak 1/yr

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3 top collaborators · 3 mutual co-author links

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1 shared paperEcology

G. Lohmann

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1 paper

Recent·Most cited

EcologybioRxivMay 12, 2021

Evaluation of Machine Learning predictions of a highly resolved long time series of Chlorophyll-a concentration

F. de Luca Lopes de Amorim, J. Rick, G. Lohmann, K. H. Wiltshire

The paper evaluates Machine Learning models for predicting Chlorophyll-a concentrations using environmental data and finds Support Vector Machine Regressor performs best with improved accuracy through feature engineering.

DOI 10.3390/app11167208

metagenomicsmachine learning (classical)

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