Katrien Verbert

Artificial Intelligence · 2012–2020

A researcher in the Science corpus: 5 papers; trusts 19 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Katrien Verbert trusts overall

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

  1. Gediminas Adomavicius
  2. Erik Duval
  3. Robin D. Burke
  4. H. Ogata
  5. Alexander Tuzhilin
  6. Anind K. Dey
  7. Ian Li
  8. Mohamed Koutheair Khribi
  9. Liping Shen
  10. Jonathan L. Herlocker

Who trusts Katrien Verbert overall

  1. Wannisa Matcha
  2. Abelardo Pardo
  3. Dragan Gasevic
  4. John K. Tarus
  5. Nora'ayu Ahmad Uzir
  6. Clara Schumacher
  7. Zhendong Niu

Papers from Katrien Verbert's perspective

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

  1. Explaining collaborative filtering recommendations
  2. Evaluating collaborative filtering recommender systems
  3. Distilling the Knowledge in a Neural Network (arXiv.org)
  4. Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Hybrid Web Recommender Systems (The Adaptive Web)
  7. Visualizing Data using t-SNE
  8. ImageNet classification with deep convolutional neural networks
  9. Context-aware recommender systems
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers