Francesco Amenta

Artificial Intelligence · 2017–2020

A researcher in the Science corpus: 3 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Francesco Amenta trusts overall

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

  1. A. Stang
  2. Albert A. Rizzo

Papers from Francesco Amenta's perspective

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

  1. Distance Metric Learning for Large Margin Nearest Neighbor Classification
  2. SVM-KNN: Discriminative Nearest Neighbor Classification for Visual Category Recognition
  3. Artificial Intelligence in Cardiology. (Journal of the American College of Cardiology)
  4. The Newcastle-Ottawa Scale (NOS) for Assessing the Quality of Nonrandomised Studies in Meta-Analyses
  5. A SWOT Analysis of the Field of Virtual Reality Rehabilitation and Therapy (Presence - Teleoperators and Virtual Environments)
  6. Machine Learning in Medicine (Mach. Learn. under Resour. Constraints Vol. 3)
  7. The PRISMA Statement for Reporting Systematic Reviews and Meta-Analyses of Studies That Evaluate Health Care Interventions: Explanation and Elaboration (Annals of Internal Medicine [serial online])
  8. Machine Learning for Precision Psychiatry: Opportunities and Challenges. (Biological Psychiatry: Cognitive Neuroscience and Neuroimaging)
  9. Machine learning in chemoinformatics and drug discovery (Drug Discovery Today)
  10. Disease Prediction by Machine Learning Over Big Data From Healthcare Communities (IEEE Access)

Their papers