PBC4cip: A new contrast pattern-based classifier for class imbalance problems
By Octavio Loyola-González, Miguel Angel Medina-Pérez, José Fco. Martínez-Trinidad, J. A. Carrasco-Ochoa, Raúl Monroy, Milton García-Borroto. 2017
73 citations recorded by the source corpus.
Subfields: Accounting, Artificial Intelligence, Electrical and Electronic Engineering
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Accounting
In Artificial Intelligence
- Octavio Loyola-González
- Raúl Monroy
- Dayton Hernández-Tamayo
- Milton García-Borroto
- J. A. Carrasco-Ochoa
- Armando López-Cuevas
- Javier Israel Mata-Sánchez
- Jorge Rodríguez
In Electrical and Electronic Engineering
Citations in the corpus
- Black-Box vs. White-Box: Understanding Their Advantages and Weaknesses From a Practical Point of View (2019, background): “However, in most of these contexts, an accurate model is not the only desired characteristic by experts in the applied context, the used model should provide an explanation of their results, which should be easy to understand by experts in that context [7]–[9].”
- Contrast Pattern-Based Classification for Bot Detection on Twitter (2019, methodology): “Now, a contrast pattern (CP) for a class c is a pattern whereby the support of CP for c is significantly higher than any support of CP for every class other than c [16], [23], [46].”
- A Pattern-Based Approach for Detecting Pneumatic Failures on Temporary Immersion Bioreactors (2019, methodology): “A pattern is an expression defined in a certain language that describes a collection of objects [17,32,33].”