G. Clifford

Artificial Intelligence · IEEE Transactions on Biomedical Engineering · 2003–2020

A researcher in the Science corpus: 13 papers; trusts 13 researchers and is trusted by 27 researchers here, as inferred from the citation graph.

Subfields

Whom G. Clifford trusts overall

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

  1. Mohammed Saeed
  2. Jack E. Zimmerman
  3. Martin A. Riedmiller
  4. Lawrence R. Rabiner
  5. Erica E. Moodie
  6. Shunzheng Yu
  7. Mohammed Saeed
  8. Michael J. Pencina
  9. Andrew A. Kramer
  10. David E. Goldberg

Who trusts G. Clifford overall

  1. Benoît Frénay
  2. Chao Yu
  3. Gaël de Lannoy
  4. Saeed Saadatnejad
  5. Marzyeh Ghassemi
  6. Pierre Humbert
  7. Byung S. Kim
  8. Shamim Nemati
  9. Michel Verleysen
  10. Alistair E. W. Johnson

Papers from G. Clifford's perspective

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

  1. ImageNet: A large-scale hierarchical image database
  2. Reinforcement Learning: An Introduction
  3. Human-level control through deep reinforcement learning
  4. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
  5. Support-Vector Networks
  6. Pattern Recognition and Machine Learning
  7. Practical Bayesian Optimization of Machine Learning Algorithms
  8. Representation Learning: A Review and New Perspectives
  9. A new Simplified Acute Physiology Score (SAPS II) based on a European/North American multicenter study.
  10. The meaning and use of the area under a receiver operating characteristic (ROC) curve.

Their papers