Roman Egger

Artificial Intelligence · 2019–2022

A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Roman Egger trusts overall

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

  1. D. Angelov
  2. Liangjie Hong
  3. Rania Albalawi
  4. Ryan J. Gallagher
  5. Brian D. Davison
  6. Rob Kitchin
  7. Stefano Canali
  8. Tet Hin Yeap
  9. Kyle Reing
  10. Daniel D. Lee

Papers from Roman Egger's perspective

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

  1. Latent Dirichlet Allocation
  2. Empirical study of topic modeling in Twitter
  3. Latent Dirichlet Allocation
  4. Big Data, new epistemologies and paradigm shifts
  5. Learning the parts of objects by non-negative matrix factorization
  6. Top2Vec: Distributed Representations of Topics (arXiv.org)
  7. The end of theory: The data deluge makes the scientific method obsolete
  8. MLbase: A Distributed Machine-learning System
  9. Factors influencing popularity of branded content in Facebook fan pages
  10. Anchored Correlation Explanation: Topic Modeling with Minimal Domain Knowledge

Their papers