Inna Dubchak

Molecular Biology · 2000–2018

A researcher in the Science corpus: 26 papers; trusts 18 researchers and is trusted by 60 researchers here, as inferred from the citation graph.

Subfields

Whom Inna Dubchak trusts overall

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

  1. Uwe Hobohm
  2. Vladimir Naumovich Vapni
  3. Gregory R. Grant
  4. Terence P. Speed
  5. Christopher Sander
  6. Burkhard Rost
  7. Joseph Felsenstein
  8. Bernhard Schölkopf
  9. Tommi S. Jaakkola
  10. Tim J. P. Hubbard

Who trusts Inna Dubchak overall

  1. Sepp Hochreiter
  2. Lior S. Pachter
  3. J. Brennecke
  4. Babak Shahbaba
  5. T. Damoulas
  6. Javier M. Moguerza
  7. Pierre Dönnes
  8. Nikolaus Rajewsky
  9. Mark J. P. Chaisson
  10. Rezaul K. Begg

Papers from Inna Dubchak's perspective

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

  1. The Nature of Statistical Learning Theory
  2. The Protein Data Bank.
  3. The Pfam protein families database
  4. ImageNet classification with deep convolutional neural networks
  5. Prediction of protein secondary structure at better than 70% accuracy.
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Long Short-Term Memory
  10. Selection of representative protein data sets

Their papers