Multiscale Modeling Meets Machine Learning: What Can We Learn?

Volume: 28, Issue: 3, Pages: 1017 - 1037
Published: Feb 17, 2020
Abstract
Machine learning is increasingly recognized as a promising technology in the biological, biomedical, and behavioral sciences. There can be no argument that this technique is incredibly successful in image recognition with immediate applications in diagnostics including electrophysiology, radiology, or pathology, where we have access to massive amounts of annotated data. However, machine learning often performs poorly in prognosis, especially...
Paper Details
Title
Multiscale Modeling Meets Machine Learning: What Can We Learn?
Published Date
Feb 17, 2020
Volume
28
Issue
3
Pages
1017 - 1037
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.