Justin B. Starren

Artificial Intelligence · 2006–2018

A researcher in the Science corpus: 4 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Justin B. Starren trusts overall

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

  1. Yuan Luo

Papers from Justin B. Starren's perspective

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

  1. Dropout: a simple way to prevent neural networks from overfitting
  2. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  3. Convolutional Neural Networks for Sentence Classification
  4. A Convolutional Neural Network for Modelling Sentences
  5. A Simple Algorithm for Identifying Negated Findings and Diseases in Discharge Summaries (Journal of Biomedical Informatics)
  6. 2010 i2b2/VA challenge on concepts, assertions, and relations in clinical text
  7. Relation Classification via Convolutional Deep Neural Network
  8. Effective mapping of biomedical text to the UMLS Metathesaurus: the MetaMap program
  9. A survey of named entity recognition and classification
  10. Automatic extraction of relations between medical concepts in clinical texts

Their papers