Marina Sokolova

Artificial Intelligence · 2002–2009

A researcher in the Science corpus: 4 papers; trusts 25 researchers and is trusted by 59 researchers here, as inferred from the citation graph.

Subfields

Whom Marina Sokolova trusts overall

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

  1. Mario Marchand
  2. Nick Littlestone
  3. R. Rivest
  4. John Shawe-Taylor
  5. Bo Pang
  6. Jaka Demsar
  7. Cyril Goutte
  8. Lillian Lee
  9. Michael Gamon
  10. William R. Hersh

Who trusts Marina Sokolova overall

  1. Cynthia Rudin
  2. Alaa Tharwat
  3. Bertie Vidgen
  4. Tomas Pranckevičius
  5. Mario Marchand
  6. Zachary Chase Lipton
  7. Paula Branco
  8. Ezz El-Din Hemdan
  9. Basela Hasan
  10. Athina Ropodi

Papers from Marina Sokolova's perspective

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

  1. The Nature of Statistical Learning Theory
  2. Attention is All you Need (Neural Information Processing Systems)
  3. Statistical Learning Theory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Learning Quickly When Irrelevant Attributes Abound: A New Linear-Threshold Algorithm
  7. Thumbs up? Sentiment Classification using Machine Learning Techniques
  8. ImageNet classification with deep convolutional neural networks
  9. Gradient-based learning applied to document recognition
  10. Biographies, Bollywood, Boom-boxes and Blenders: Domain Adaptation for Sentiment Classification

Their papers