Eva Onaindia

Artificial Intelligence · 2009–2019

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Eva Onaindia trusts overall

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

  1. Miquel Ramírez
  2. Sarath Sreedharan
  3. Tathagata Chakraborti
  4. Hector Geffner

Papers from Eva Onaindia's perspective

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

  1. Probabilistic Plan Recognition Using Off-the-Shelf Classical Planners
  2. Learning action models from plan examples using weighted MAX-SAT
  3. Acquiring planning domain models using LOCM
  4. Plan Explanations as Model Reconciliation: Moving Beyond Explanation as Soliloquy
  5. Plan Recognition as Planning (International Joint Conference on Artificial Intelligence)
  6. Maintaining Evolving Domain Models
  7. Blocks World revisited
  8. Handling Model Uncertainty and Multiplicity in Explanations via Model Reconciliation
  9. The Fast Downward Planning System
  10. The FF Planning System: Fast Plan Generation Through Heuristic Search

Their papers