Francisco Velasquez
Artificial Intelligence · 2014
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 8 citations into it
Whom Francisco Velasquez trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Francisco Velasquez's perspective
Ordered by how strongly the researchers Francisco Velasquez trusts endorse each paper. Same corpus, a different order for every researcher.
- Generating Typed Dependency Parses from Phrase Structure Parses
- The WEKA data mining software: an update
- Machine learning in automated text categorization
- Applying authorship analysis to extremist-group Web forum messages (IEEE Intelligent Systems)
- Authorship Attribution with Support Vector Machines (Applied intelligence (Boston))
- A survey of modern authorship attribution methods
- Quantitative Authorship Attribution: An Evaluation of Techniques (Literary and Linguistic Computing)
- Authorship Attribution (Foundations and Trends in Information Retrieval)
- Text Categorization with Support Vector Machines: Learning with Many Relevant Features
- Book Reviews: WordNet: An Electronic Lexical Database
Their papers
- Syntactic N-grams as machine learning features for natural language processing (2014) — 333 citations