Jean-Luc Perret
2004
A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Whom Jean-Luc Perret trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Jean-Luc Perret overall
Papers from Jean-Luc Perret's perspective
Ordered by how strongly the researchers Jean-Luc Perret trusts endorse each paper. Same corpus, a different order for every researcher.
- Learning with Kernels: support vector machines, regularization, optimization, and beyond
- On Graph Kernels: Hardness Results and Efficient Alternatives
- Marginalized Kernels Between Labeled Graphs
- Use of Receiver Operating Characteristic (ROC) Analysis to Evaluate Sequence Matching
- Marginalized kernels for biological sequences
- Kernels and Regularization on Graphs
- Structure-activity relationship of mutagenic aromatic and heteroaromatic nitro compounds. Correlation with molecular orbital energies and hydrophobicity.
- The Generation of a Unique Machine Description for Chemical Structures-A Technique Developed at Chemical Abstracts Service.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
Their papers
- Extensions of marginalized graph kernels (2004) — 224 citations