Ahmad Sedaghat

Artificial Intelligence · 2014–2016

A researcher in the Science corpus: 4 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ahmad Sedaghat trusts overall

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

  1. D. Chung
  2. Hui Li

Papers from Ahmad Sedaghat's perspective

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

  1. Statistical Learning Theory
  2. Comparison of submicron-diameter carbon filaments and conventional carbon fibers as fillers in composite materials
  3. Extreme learning machine: a new learning scheme of feedforward neural networks (2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541))
  4. The Nature of Statistical Learning Theory
  5. Text Categorization with Support Vector Machines: Learning with Many Relevant Features
  6. Extreme learning machine: Theory and applications
  7. Universal Approximation using Incremental Constructive Feedforward Networks with Random Hidden Nodes (IEEE Transactions on Neural Networks)
  8. A Fast and Accurate Online Sequential Learning Algorithm for Feedforward Networks
  9. A survey of multi-view machine learning
  10. Abrasion resistance of concrete containing nano-particles for pavement

Their papers