Thomas Nordahl Petersen

Molecular Biology · 2009–2021

A researcher in the Science corpus: 7 papers; trusts 1 researcher and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Thomas Nordahl Petersen trusts overall

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

  1. Weizhong Li
  2. Pernille Haste Andersen
  3. Stephen F. Altschul
  4. Uwe Hobohm

Who trusts Thomas Nordahl Petersen overall

  1. Henrik Nielsen
  2. Kira S. Makarova
  3. László Dobson
  4. Konstantinos D. Tsirigos
  5. Manuel Irimia
  6. Han Zhang
  7. Marcel Huntemann
  8. Jana Sperschneider
  9. Igor V. Grigoriev
  10. Yuri I. Wolf

Papers from Thomas Nordahl Petersen's perspective

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

  1. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  2. Clustering of highly homologous sequences to reduce the size of large protein databases
  3. Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion
  4. Protein structure alignment by incremental combinatorial extension (CE) of the optimal path.
  5. Iterated profile searches with PSI-BLAST--a tool for discovery in protein databases.
  6. Semi-supervised Learning with Deep Generative Models
  7. Improved prediction of protein secondary structure by use of sequence profiles and neural networks.
  8. Ladder Variational Autoencoders
  9. InfoVAE: Information Maximizing Variational Autoencoders
  10. A generic method for assignment of reliability scores applied to solvent accessibility predictions

Their papers