Fazel Famili

Artificial Intelligence · 2014

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Fazel Famili trusts overall

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

  1. Yuhai Wu
  2. Alain Rakotomamonjy
  3. David Martinus Johannes Tax
  4. Michael Wasikowski
  5. Sebastián Maldonado
  6. Nitesh V. Chawla
  7. Isabelle M Guyon
  8. Nathalie Japkowicz

Who trusts Fazel Famili overall

  1. Verónica Bolón-Canedo
  2. Amparo Alonso-Betanzos
  3. Noelia Sánchez-Maroño
  4. Harsurinder Kaur
  5. Husanbir Singh Pannu
  6. Avleen Kaur Malhi
  7. Karla Brkic
  8. Nikola Bogunovic
  9. Alan Jović

Papers from Fazel Famili's perspective

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

  1. Statistical Learning Theory
  2. Gene Selection for Cancer Classification using Support Vector Machines
  3. Feature selection for text categorization on imbalanced data (SKDD)
  4. Classification of human lung carcinomas by mRNA expression profiling reveals distinct adenocarcinoma subclasses (Proceedings of the National Academy of Sciences of the United States of America)
  5. Gene-expression profiles predict survival of patients with lung adenocarcinoma (Nature Medicine)
  6. Classification and diagnostic prediction of cancers using gene expression profiling and artificial neural networks
  7. Feature Selection via Concave Minimization and Support Vector Machines
  8. Combating the Small Sample Class Imbalance Problem Using Feature Selection (IEEE Transactions on Knowledge and Data Engineering)
  9. Beyond Accuracy, F-Score and ROC: A Family of Discriminant Measures for Performance Evaluation (Australian Conference on Artificial Intelligence)
  10. Class Imbalances versus Class Overlapping: An Analysis of a Learning System Behavior

Their papers