Tom De Smedt

Artificial Intelligence · 2012–2014

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Tom De Smedt trusts overall

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

  1. Charles Peter Elkan
  2. David Arthur
  3. Vladimir Naumovich Vapni
  4. Sergei Vassilvitskii
  5. Andrea Esuli
  6. Aaron M. Cohen
  7. Fabrizio Sebastiani
  8. Adam Kilgarriff
  9. Huifeng Tang
  10. Mathieu Bastian

Who trusts Tom De Smedt overall

  1. Clayton J. Hutto
  2. Tong Niu
  3. Fons Wijnhoven
  4. Enric Junqué de Fortuny
  5. Mohit Bansal
  6. Eric Gilbert
  7. Oscar Bloemen
  8. David Martens

Papers from Tom De Smedt's perspective

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

  1. The Nature of Statistical Learning Theory
  2. Machine learning in automated text categorization
  3. SENTIWORDNET: A Publicly Available Lexical Resource for Opinion Mining (International Conference on Language Resources and Evaluation)
  4. PyBrain
  5. k-means++: the advantages of careful seeding
  6. The Behavior of Stock-Market Prices
  7. Orange: From Experimental Machine Learning to Interactive Data Mining (European Conference on Principles of Data Mining and Knowledge Discovery)
  8. Gephi: An Open Source Software for Exploring and Manipulating Networks
  9. Explanations From Intelligent Systems: Theoretical Foundations and Implications for Practice
  10. An introduction to ROC analysis

Their papers