Dynamic selection of classifiers - A comprehensive review

By Alceu de Souza Britto Jr., Robert Sabourin, Luiz Oliveira. Pattern Recognition, 2014

353 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Biomedical Engineering

View Paper: https://www.semanticscholar.org/paper/9bc6de78b66b85806ffb9ac53b68f941120e0537

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Caroline Petitjean
2. Laurent Heutte
3. Fabio Alexandre Spanhol
4. Luiz Oliveira
5. Lucas B. V. de Amorim
6. Rafael M. O. Cruz
7. George D. C. Cavalcanti
8. Kun Zhang

In Biomedical Engineering

1. Xiahai Zhuang
2. Phi Vu Tran

Citations in the corpus

• The choice of scaling technique matters for classification performance (2022, background): “At the end, the most competent base classifier determines the ensemble output if it is better than the other classifiers by a certain threshold, else a majority voting rule is applied [33].”
• A Dataset for Breast Cancer Histopathological Image Classification (2016, background): “A recent review can be found in [37].”