J. E. Hill

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. E. Hill trusts

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

  1. Gisbert Schneider (in Computational Theory and Mathematics)

Papers from J. E. Hill's perspective

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

  1. Automating drug discovery (Nature reviews. Drug discovery)
  2. Deep learning applications for predicting pharmacological properties of drugs and drug repurposing using transcriptomic data
  3. Reconfigurable system for automated optimization of diverse chemical reactions (Science)
  4. Generating Focused Molecule Libraries for Drug Discovery with Recurrent Neural Networks
  5. Organic synthesis provides opportunities to transform drug discovery (Nature Chemistry)
  6. Opportunities and obstacles for deep learning in biology and medicine
  7. Adversarial Examples: Attacks and Defenses for Deep Learning
  8. Nonlinear multiobjective optimization
  9. Multi-parameter optimization: identifying high quality compounds with a balance of properties.
  10. Convolutional Networks on Graphs for Learning Molecular Fingerprints

Their papers