José S. Duca

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 José S. Duca trusts

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

  1. Gisbert Schneider (in Computational Theory and Mathematics)

Papers from José S. Duca's perspective

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

  1. Automating drug discovery (Nature reviews. Drug discovery)
  2. Convolutional Networks on Graphs for Learning Molecular Fingerprints
  3. Generating Focused Molecule Libraries for Drug Discovery with Recurrent Neural Networks
  4. Deep learning applications for predicting pharmacological properties of drugs and drug repurposing using transcriptomic data
  5. On Calibration of Modern Neural Networks
  6. The CMA Evolution Strategy: A Tutorial
  7. Reconfigurable system for automated optimization of diverse chemical reactions (Science)
  8. Organic synthesis provides opportunities to transform drug discovery (Nature Chemistry)
  9. Prototypical Networks for Few-shot Learning
  10. Opportunities and obstacles for deep learning in biology and medicine

Their papers