Aasa Feragen

Artificial Intelligence · 2013–2023

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 Aasa Feragen trusts overall

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

  1. Chih-Jen Lin
  2. Nino Shervashidze
  3. Karsten M. Borgwardt
  4. David Haussler
  5. S. V. N. Vishwanathan

Who trusts Aasa Feragen overall

  1. Christopher Morris
  2. Nils M. Kriege
  3. Giovanni Da San Martino
  4. Giannis Nikolentzos
  5. Francesco Orsini
  6. Titouan Vayer
  7. Rex Ying
  8. Kristian Kersting
  9. Fredrik D. Johansson
  10. Petra Mutzel

Papers from Aasa Feragen's perspective

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

  1. Convolution kernels on discrete structures
  2. LIBSVM: A library for support vector machines
  3. Protein function prediction via graph kernels
  4. Graph Kernels
  5. Weisfeiler-Lehman Graph Kernels
  6. Model Cards for Model Reporting
  7. On Fairness and Calibration
  8. Methodologic Guide for Evaluating Clinical Performance and Effect of Artificial Intelligence Technology for Medical Diagnosis and Prediction. (Radiology)
  9. Protocol for development of a reporting guideline (TRIPOD-AI) and risk of bias tool (PROBAST-AI) for diagnostic and prognostic prediction model studies based on artificial intelligence (BMJ Open)
  10. Artificial intelligence, bias and clinical safety (BMJ Quality & Safety)

Their papers