Ecosyste.ms: Papers
An open API service providing mapping between scientific papers and software projects that are mentioned in them.
All mentions data is based on the CZI Software Mentions dataset.
Papers: 10.1186/s13071-021-04851-x
https://doi.org/10.1186/s13071-021-04851-x
Data-driven and interpretable machine-learning modeling to explore the fine-scale environmental determinants of malaria vectors biting rates in rural Burkina Faso
Cited by: 9
Author(s): Paul Taconet, Angélique Porciani, Dieudonné Diloma Soma, Karine Mouline, Frédéric Simard, Alphonsine A. Koffi, Cédric Pennetier, Roch K. Dabiré, Morgan Mangeas, Nicolas Moiroux
Published: over 3 years ago
Software Mentions 21
cran: precrec
Calculate Accurate Precision-Recall and ROC (Receiver Operator Characteristics) CurvesPapers that mentioned: 14
cran: randomForest
Breiman and Cutler's Random Forests for Classification and RegressionPapers that mentioned: 1,447
cran: rgrass7
Deprecated Interface Between GRASS Geographical Information System and RPapers that mentioned: 4
cran: spatstat
Spatial Point Pattern Analysis, Model-Fitting, Simulation, TestsPapers that mentioned: 172
pypi: iml
Interpretable Machine Learning (iML) package. Explain the predictions of any model.Papers that mentioned: 14