Papers: 10.1371/journal.pone.0236631

https://doi.org/10.1371/journal.pone.0236631

Citizen science for predicting spatio-temporal patterns in seabird abundance during migration

Cited by: 5
Author(s): Beatriz Martín, Alejandro Onrubia, Julio González-Arias, Juan Antonio Vicente-Virseda
Published: about 6 years ago

Software Mentions 5

cran: caret
Classification and Regression Training
Papers that mentioned: 630
Very Likely Science (100)
cran: randomForest
Breiman and Cutler's Random Forests for Classification and Regression
Papers that mentioned: 1,447
Very Likely Science (100)
cran: randomForestExplainer
Explaining and Visualizing Random Forests in Terms of Variable Importance
Papers that mentioned: 20
Very Likely Science (75)
pypi: caret
A Python Interface to Asterisk
Papers that mentioned: 630
Very Likely Science (65)
pypi: PACE
Data Quality of Experimental Data
Papers that mentioned: 13,779
Very Likely Science (90)