Integrating machine learning and multiscale modeling - perspectives, challenges, and opportunities in the biological, biomedical, and behavioral sciences.
Mark S. AlberAdrian Buganza TepoleWilliam R. CannonSuvranu DeSalvador Dura-BernalKrishna C. GarikipatiGeorge E. KarniadakisWilliam W. LyttonParis PerdikarisLinda R. PetzoldEllen KuhlPublished in: npj Digit. Medicine (2019)
Keyphrases
- multiscale
- machine learning
- information extraction
- life sciences
- lessons learned
- computational intelligence
- computer science
- text mining
- machine learning algorithms
- data driven approaches
- scale space
- decision trees
- learning systems
- knowledge acquisition
- key issues
- biological data
- pattern recognition
- emerging technologies
- artificial intelligence
- computational approaches
- neural network
- biological entities
- learning tasks
- image representation
- knowledge discovery
- knowledge representation
- active learning
- image processing
- feature selection
- learning algorithm
- real world