Axel Facius

Comput. Biol. Chem. · 2005

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Axel Facius trusts

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

1. Vladimir Naumovich Vapnik (in Statistical Learning Theory)

Papers from Axel Facius's perspective

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

1. Statistical learning theory
2. Feature selection for high-dimensional genomic microarray data
3. Multiclass cancer diagnosis using tumor gene expression signatures (Proceedings of the National Academy of Sciences of the United States of America)
4. Numerical recipes in C
5. An efficient and robust statistical modeling approach to discover differentially expressed genes using genomic expression profiles. (Genome Research)
6. Gradient-based learning applied to document recognition
7. Distilling the Knowledge in a Neural Network (arXiv.org)
8. Neural Networks for Pattern Recognition
9. Efficient Estimation of Word Representations in Vector Space
10. Adaptive Mixtures of Local Experts

Their papers

• Gene selection from microarray data for cancer classification - a machine learning approach (2005) — 438 citations