Osisanwo F.Y

Artificial Intelligence · 2017

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

Whom Osisanwo F.Y trusts overall

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

  1. Taiwo Oladipupo Ayodele
  2. S. Kotsiantis
  3. Tapas Kanungo
  4. Vladimir Naumovich Vapni
  5. Eric R. Ziegel

Papers from Osisanwo F.Y's perspective

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

  1. Ranking Learning Algorithms: Using IBL and Meta-Learning on Accuracy and Time Results
  2. The Nature of Statistical Learning Theory
  3. Neural Networks for Pattern Recognition
  4. Understanding Machine Learning - From Theory to Algorithms
  5. The Elements of Statistical Learning
  6. Principles of neurodynamics
  7. Learning Bayesian networks from data: An information-theory based approach (Artificial Intelligence)
  8. Data Mining Practical Machine Learning Tools and Techniques
  9. Types of Machine Learning Algorithms
  10. A local search approximation algorithm for k-means clustering (SCG '02)

Their papers