François Denis
Theoretical Computer Science · 2000
A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Whom François Denis trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Thorsten Joachims
- Leslie G. Valiant
- Dana Angluin
- Kamal Nigam
- Philip D. Laird
- Michael Kearns
- Andrew McCallum
- Steven L. Salzberg
Who trusts François Denis overall
Papers from François Denis's perspective
Ordered by how strongly the researchers François Denis trusts endorse each paper. Same corpus, a different order for every researcher.
- Transductive Inference for Text Classification using Support Vector Machines
- Text Classification from Labeled and Unlabeled Documents using EM
- A theory of the learnable
- Learning From Noisy Examples
- Efficient noise-tolerant learning from statistical queries
- Programs for Machine Learning
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
- Information Theory: 1948-1998 - Guest Editorial
Their papers
- Learning from positive and unlabeled examples (2000) — 296 citations