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

Papers: 10.1371/journal.pone.0095753

https://doi.org/10.1371/journal.pone.0095753

A Comparison of Supervised Machine Learning Algorithms and Feature Vectors for MS Lesion Segmentation Using Multimodal Structural MRI

Cited by: 41
Author(s): Elizabeth Sweeney, Joshua T. Vogelstein, Jennifer L. Cuzzocreo, Peter A. Calabresi, Daniel S. Reich, Ciprian M. Crainiceanu, Russell T. Shinohara
Published: about 11 years ago

Software Mentions 10

cran: AnalyzeFMRI
Papers that mentioned: 5
Unlikely Science (0)
cran: class
Functions for Classification
Papers that mentioned: 34
Very Likely Science (83)
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: MASS
Support Functions and Datasets for Venables and Ripley's MASS
Papers that mentioned: 2,353
Very Likely Science (100)
cran: mclust
Gaussian Mixture Modelling for Model-Based Clustering, Classification, and Density Estimation
Papers that mentioned: 297
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: ROCR
Visualizing the Performance of Scoring Classifiers
Papers that mentioned: 596
Very Likely Science (75)
cran: SuperLearner
Super Learner Prediction
Papers that mentioned: 56
Very Likely Science (100)
pypi: class
A simple class!
Papers that mentioned: 34
Very Likely Science (65)