J. Henle

Computational Theory and Mathematics · 2019

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

Subfields

Whom J. Henle trusts overall

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

  1. John B. O. Mitchell

Papers from J. Henle's perspective

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

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

Their papers