Gethsiyal Augasta M

Artificial Intelligence · 2012–2013

A researcher in the Science corpus: 3 papers; trusts 19 researchers and is trusted by 31 researchers here, as inferred from the citation graph.

Subfields

Whom Gethsiyal Augasta M trusts overall

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

  1. Rudy Setiono
  2. Mark W. Craven
  3. Eduardo R. Hruschka
  4. Humar Kahramanli
  5. Terence Anthony Etchells
  6. Jude W. Shavlik
  7. Robert Andrews
  8. G. Huang
  9. Nelson Francisco Favilla Ebecken
  10. Novruz M. Allahverdi

Who trusts Gethsiyal Augasta M overall

  1. Tameru Hailesilassie
  2. Leilani H. Gilpin
  3. Gesina Schwalbe
  4. Nadia Burkart
  5. Vaishak Belle
  6. Christoph Molnar
  7. Jan Ruben Zilke
  8. Yao Ming
  9. Dino Pedreschi
  10. Thangairulappan Kathirvalavakumar

Papers from Gethsiyal Augasta M's perspective

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

  1. Using Sampling and Queries to Extract Rules from Trained Neural Networks
  2. Extracting refined rules from knowledge-based neural networks
  3. Survey and critique of techniques for extracting rules from trained artificial neural networks
  4. FERNN: An Algorithm for Fast Extraction of Rules from Neural Networks
  5. The truth will come to light: directions and challenges in extracting the knowledge embedded within trained artificial neural networks
  6. Connectionist expert systems
  7. Understanding Neural Networks via Rule Extraction
  8. Extracting rules from multilayer perceptrons in classification problems: A clustering-based approach
  9. Neural network explanation using inversion
  10. Extracting -of- Rules from Trained Neural Networks

Their papers