J. Oates

Artificial Intelligence · with Anderson · 2010–2017

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom J. Oates trusts overall

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

  1. Thorsten Joachims

Papers from J. Oates's perspective

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

  1. Efficient Estimation of Word Representations in Vector Space
  2. A unified architecture for natural language processing: deep neural networks with multitask learning
  3. Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion
  4. Scikit-learn: Machine Learning in Python
  5. Random Forests
  6. Theano: new features and speed improvements
  7. Text Categorization with Support Vector Machines: Learning with Many Relevant Features
  8. Multimodal learning with deep Boltzmann machines
  9. The ACL Anthology Network Corpus as a Resource for NLP-based Bibliometrics
  10. The Unified Medical Language System (UMLS): integrating biomedical terminology

Their papers