An open API service providing mapping between scientific papers and software projects that are mentioned in them.

Papers: 10.1186/s40462-021-00245-x

https://doi.org/10.1186/s40462-021-00245-x

An evaluation of machine learning classifiers for next-generation, continuous-ethogram smart trackers

Cited by: 15
Author(s): Hui Yu, Jian Deng, Ran Nathan, Max Kröschel, Sasha Pekarsky, Guozheng Li, Marcel Klaassen
Published: over 4 years ago

Software Mentions 8

cran: caret
Classification and Regression Training
Papers that mentioned: 630
Very Likely Science (100)
cran: e1071
Misc Functions of the Department of Statistics, Probability Theory Group (Formerly: E1071), TU Wien
Papers that mentioned: 419
Very Likely Science (85)
cran: nnet
Feed-Forward Neural Networks and Multinomial Log-Linear Models
Papers that mentioned: 296
Very Likely Science (93)
cran: randomForest
Breiman and Cutler's Random Forests for Classification and Regression
Papers that mentioned: 1,447
Very Likely Science (100)
cran: rpart
Recursive Partitioning and Regression Trees
Papers that mentioned: 431
Very Likely Science (100)
cran: xgboost
Extreme Gradient Boosting
Papers that mentioned: 207
Very Likely Science (100)
pypi: caret
A Python Interface to Asterisk
Papers that mentioned: 630
Very Likely Science (65)
pypi: xgboost
XGBoost Python Package
Papers that mentioned: 207
Very Likely Science (90)