H. Nassery

Artificial Intelligence · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom H. Nassery trusts overall

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

  1. Vladimir Naumovich Vapni

Papers from H. Nassery's perspective

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

  1. The Nature of Statistical Learning Theory
  2. Learning capability and storage capacity of two-hidden-layer feedforward networks (IEEE Trans. Neural Networks)
  3. Evaluation of data driven models for river suspended sediment concentration modeling
  4. Analysis of multiplex gene expression maps obtained by voxelation (IEEE International Conference on Bioinformatics and Biomedicine)
  5. Role of Microbial Enzymes in the Bioremediation of Pollutants: A Review (Enzyme Research)
  6. Approximation by superpositions of a sigmoidal function
  7. Networks for approximation and learning
  8. DENFIS: dynamic evolving neural-fuzzy inference system and its application for time-series prediction (IEEE transactions on fuzzy systems)
  9. Estimating the Dimension of a Model
  10. Universal approximation bounds for superpositions of a sigmoidal function

Their papers