Judith Möller
Artificial Intelligence · 2018
A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 6 citations into it
Whom Judith Möller trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Judith Möller overall
Papers from Judith Möller's perspective
Ordered by how strongly the researchers Judith Möller trusts endorse each paper. Same corpus, a different order for every researcher.
- LDAvis: A method for visualizing and interpreting topics
- Latent Dirichlet Allocation
- Finding scientific topics
- Reading Tea Leaves: How Humans Interpret Topic Models
- Optimizing Semantic Coherence in Topic Models (Conference on Empirical Methods in Natural Language Processing)
- Hierarchical Topic Models and the Nested Chinese Restaurant Process (Neural Information Processing Systems)
- R: A language and environment for statistical computing.
- Interpretation and trust: designing model-driven visualizations for text analysis (International Conference on Human Factors in Computing Systems)
- Termite: visualization techniques for assessing textual topic models (International Working Conference on Advanced Visual Interfaces)
- D³ Data-Driven Documents