Damian Trilling

Artificial Intelligence · 2016–2018

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 Damian Trilling trusts overall

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

  1. Carson Sievert

Papers from Damian Trilling's perspective

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

  1. The daily you: How the new advertising industry is defining your identity and your worth (New Media & Society)
  2. LDAvis: A method for visualizing and interpreting topics
  3. Latent Dirichlet Allocation
  4. Finding scientific topics
  5. Reading Tea Leaves: How Humans Interpret Topic Models
  6. Optimizing Semantic Coherence in Topic Models (Conference on Empirical Methods in Natural Language Processing)
  7. Hierarchical Topic Models and the Nested Chinese Restaurant Process (Neural Information Processing Systems)
  8. The Filter Bubble: What the Internet Is Hiding from You
  9. R: A language and environment for statistical computing.
  10. Interpretation and trust: designing model-driven visualizations for text analysis (International Conference on Human Factors in Computing Systems)

Their papers