S. Hailes

Information Systems · 2000–2018

A researcher in the Science corpus: 6 papers; trusts 16 researchers and is trusted by 34 researchers here, as inferred from the citation graph.

Subfields

Whom S. Hailes trusts overall

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

  1. Tamer Basar
  2. András Varga
  3. Gediminas Adomavicius
  4. Jonathan L. Herlocker
  5. Shengyi Pan
  6. Barry Smyth
  7. Sushant Jain
  8. Ricardo Vilalta
  9. Anders Lindgren
  10. Ralph L. Keeney

Who trusts S. Hailes overall

  1. Yao Wang
  2. Jennifer Golbeck
  3. Jordi Sabater-Mir
  4. Sophie Ahrens
  5. Jérémie Leguay
  6. Zhensheng Zhang
  7. Isaac Pinyol
  8. Julita Vassileva
  9. Aameek Singh
  10. Karl Aberer

Papers from S. Hailes's perspective

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

  1. Evaluating collaborative filtering recommender systems
  2. An algorithmic framework for performing collaborative filtering
  3. The security of machine learning
  4. Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions
  5. Similarity vs. Diversity
  6. Collaborative filtering with temporal dynamics
  7. The shared wireless infostation model: a new ad hoc networking paradigm (or where there is a whale, there is a way) (ACM Interational Symposium on Mobile Ad Hoc Networking and Computing)
  8. Practical Black-Box Attacks against Deep Learning Systems using Adversarial Examples
  9. Avoiding monotony: improving the diversity of recommendation lists (ACM Conference on Recommender Systems)
  10. A message ferrying approach for data delivery in sparse mobile ad hoc networks (ACM Interational Symposium on Mobile Ad Hoc Networking and Computing)

Their papers