A. de Mendonça

Statistics and Probability · 2011

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 5 citations into it

Whom A. de Mendonça trusts

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

1. R. Fisher (in Statistical Learning Theory)
2. Ovidiu Ivanciuc (in Analytical Chemistry)
3. C. Burges (in Statistical Learning Theory)

Papers from A. de Mendonça's perspective

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

1. Random Forests
2. Support-Vector Networks
3. Neural Networks for Pattern Recognition
4. A Tutorial on Support Vector Machines for Pattern Recognition
5. THE USE OF MULTIPLE MEASUREMENTS IN TAXONOMIC PROBLEMS
6. Research criteria for the diagnosis of Alzheimer's disease: revising the NINCDS-ADRDA criteria. (Lancet Neurology)
7. Neural networks
8. Applications of Support Vector Machines in Chemistry
9. Support Vector Machines in R
10. Mild cognitive impairment (MCI) in medical practice: a critical review of the concept and new diagnostic procedure. Report of the MCI Working Group of the European Consortium on Alzheimer’s Disease (Journal of Neurology Neurosurgery & Psychiatry)

Their papers

• Data mining methods in the prediction of Dementia: A real-data comparison of the accuracy, sensitivity and specificity of linear discriminant analysis, logistic regression, neural networks, support vector machines, classification trees and random forests (2011) — 402 citations