Vito J. D'Orazio

Artificial Intelligence · 2015–2019

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Vito J. D'Orazio trusts overall

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

  1. Thorsten Joachims
  2. Yuhai Wu
  3. Vladimir Naumovich Vapni
  4. Tong Zhang
  5. Susan T. Dumais

Papers from Vito J. D'Orazio's perspective

Ordered by how strongly the researchers Vito J. D'Orazio trusts endorse each paper. Same corpus, a different order for every researcher.

  1. The Nature of Statistical Learning Theory
  2. Text Categorization with Support Vector Machines: Learning with Many Relevant Features
  3. Statistical Learning Theory
  4. Ììì Öûûò Ë Blockinöö Óóóòòòö Áòøøöòòøøóòòð
  5. Efficient and Robust Automated Machine Learning
  6. ImageNet classification with deep convolutional neural networks
  7. Auto-WEKA: combined selection and hyperparameter optimization of classification algorithms
  8. Learning to classify text using support vector machines - methods, theory and algorithms (The Kluwer International Series in Engineering and Computer Science)
  9. Probabilistic Matrix Factorization for Automated Machine Learning
  10. Text Categorization Based on Regularized Linear Classification Methods (Information retrieval (Boston))

Their papers