Data

Tools

Indexes

Applications

Experiments

Papers

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

Papers: 10.1039/d0sc04263c

https://doi.org/10.1039/d0sc04263c

One class classification as a practical approach for accelerating π–π co-crystal discovery

Cited by: 12
Author(s): Aikaterini Vriza, Angelos B. Canaj, Rebecca Vismara, Laurence J. Kershaw Cook, Troy D. Manning, Michael W. Gaultois, Peter A. Wood, Vitaliy Kurlin, Neil G. Berry, Matthew S. Dyer, Matthew J. Rosseinsky
Published: over 4 years ago

Software Mentions 5

pypi: combo
A Python Toolbox for Machine Learning Model Combination
Papers that mentioned: 1
Very Likely Science (100)
pypi: imbalanced-learn
Toolbox for imbalanced dataset in machine learning.
Papers that mentioned: 38
Very Likely Science (100)
pypi: learn
A simple printer of nested lines
Papers that mentioned: 154
Very Likely Science (65)
pypi: scikit-learn
A set of python modules for machine learning and data mining
Papers that mentioned: 2,431
Very Likely Science (100)
pypi: sklearn
deprecated sklearn package, use scikit-learn instead
Papers that mentioned: 559
Very Likely Science (65)