Isaac E. Lagaris

Soft Computing - A Fusion of Foundations, Methodologies and Applications · 1997–2012

A researcher in the Science corpus: 4 papers; trusts 4 researchers and is trusted by 39 researchers here, as inferred from the citation graph.

Whom Isaac E. Lagaris trusts overall

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

  1. Roger Fletcher
  2. Kurt Hornik
  3. Maxwell B. Stinchcombe

Who trusts Isaac E. Lagaris overall

  1. Dongkun Zhang
  2. Lu Lu
  3. G. Em Karniadakis
  4. Jens Berg
  5. Justin A. Sirignano
  6. Liu Yang
  7. Benjamin Moseley
  8. Paris Perdikaris
  9. Jared D. Willard
  10. Salvatore Cuomo

Papers from Isaac E. Lagaris's perspective

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

  1. Neural Networks for Pattern Recognition
  2. Multilayer feedforward networks are universal approximators
  3. Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm (IEEE Transactions on Medical Imaging)
  4. The numerical solution of linear ordinary differential equations by feedforward neural networks
  5. A multigrid tutorial
  6. Original Contribution: Multilayer feedforward networks with a nonpolynomial activation function can approximate any function
  7. Practical Methods of Optimization: Fletcher/Practical Methods of Optimization
  8. On the Barzilai-Borwein Method
  9. Function minimization by conjugate gradients
  10. R-linear convergence of the Barzilai and Borwein gradient method

Their papers