Classification of estrogenic compounds by coupling high content analysis and machine learning algorithms.
Rajib MukherjeeBurcu BeykalAdam T. SzafranMelis OnelFabio StossiMaureen G. ManciniDillon LloydFred A. WrightLan ZhouMichael A. ManciniEfstratios N. PistikopoulosPublished in: PLoS Comput. Biol. (2020)
Keyphrases
- machine learning algorithms
- content analysis
- benchmark data sets
- decision trees
- machine learning
- machine learning methods
- learning algorithm
- predictive accuracy
- machine learning approaches
- collaborative learning
- learning problems
- multiclass classification
- online discussion
- machine learning models
- computer supported collaborative learning
- classification accuracy
- learning models
- supervised learning algorithms
- machine learning systems
- input features
- random forests
- knowledge construction
- machine learning and data mining algorithms
- collaborative knowledge building
- video content analysis
- data sets
- learning tasks
- text classification
- multi class
- real world
- classification models
- video content
- transfer learning
- support vector machine
- training set
- video sequences
- statistical machine learning
- standard machine learning algorithms