Scott E. Denmark

Computational Theory and Mathematics · 2003–2019

A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Scott E. Denmark trusts

Their strongest outbound trust, strongest first, inferred from their citations.

  1. John B. O. Mitchell (in Computational Theory and Mathematics)

Papers from Scott E. Denmark's perspective

Ordered by how strongly the researchers Scott E. Denmark trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Prediction of Organic Reaction Outcomes Using Machine Learning
  2. Predicting reaction performance in C–N cross-coupling using machine learning (Science)
  3. Machine-learning-assisted materials discovery using failed experiments
  4. The rise of deep learning in drug discovery. (Drug Discovery Today)
  5. Machine learning methods in chemoinformatics
  6. NWChem: A comprehensive and scalable open-source solution for large scale molecular simulations
  7. Machine Learning With Python
  8. Deep architectures and deep learning in chemoinformatics: the prediction of aqueous solubility for drug-like molecules
  9. Improving neural networks by preventing co-adaptation of feature detectors
  10. Predicting Organic Reaction Outcomes with Weisfeiler-Lehman Network

Their papers