Anthony W. Purcell

Molecular Biology · 2007–2020

A researcher in the Science corpus: 6 papers; trusts 2 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Anthony W. Purcell trusts overall

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

  1. Morten Nielsen
  2. Ole Lund

Who trusts Anthony W. Purcell overall

  1. P. Whitehouse

Papers from Anthony W. Purcell's perspective

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

  1. Long Short-Term Memory
  2. Rectified Linear Units Improve Restricted Boltzmann Machines
  3. Human-level control through deep reinforcement learning
  4. Dropout: a simple way to prevent neural networks from overfitting
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
  7. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  8. Rectifier Nonlinearities Improve Neural Network Acoustic Models
  9. A Community Resource Benchmarking Predictions of Peptide Binding to MHC-I Molecules (PLoS Comput. Biol.)
  10. NetMHCpan, a Method for Quantitative Predictions of Peptide Binding to Any HLA-A and -B Locus Protein of Known Sequence

Their papers