Charles Florin

Artificial Intelligence · 2009–2010

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Charles Florin trusts

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

  1. Mark A. Hall (in Artificial Intelligence)
  2. Eibe Frank (in Artificial Intelligence)

Who trusts Charles Florin

  1. Zhi-Hua Zhou (in Artificial Intelligence)
  2. Hongwei Li (in Artificial Intelligence)
  3. Ata Kabán (in Artificial Intelligence)
  4. Jakramate Bootkrajang (in Artificial Intelligence)

Papers from Charles Florin's perspective

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

  1. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
  2. Utility data annotation with Amazon Mechanical Turk
  3. Maximum Likelihood Estimation of Observer Error‐Rates Using the EM Algorithm
  4. Cheap and Fast – But is it Good? Evaluating Non-Expert Annotations for Natural Language Tasks
  5. Learning with Multiple Labels (Neural Information Processing Systems)
  6. Learning with an unreliable teacher
  7. Get another label? improving data quality and data mining using multiple, noisy labelers
  8. Supervised learning from multiple experts: whom to trust when everyone lies a bit (International Conference on Machine Learning)
  9. Simultaneous truth and performance level estimation (STAPLE): an algorithm for the validation of image segmentation (IEEE Transactions on Medical Imaging)
  10. A Simple Approach to Ordinal Classification (European Conference on Machine Learning)

Their papers