Abstract Multiple Classifier Systems (MCS) have been widely studied as an alternative for
increasing accuracy in pattern recognition. One of the most promising MCS approaches is …

This work presents a literature review of multiple classifier systems based on the dynamic
selection of classifiers. First, it briefly reviews some basic concepts and definitions related to …

Many real-world classification tasks suffer from the class imbalanced problem, in which
some classes are highly underrepresented as compared to other classes. In this paper, we …

In this paper, a new probabilistic model using measures of classifier competence and
diversity is proposed. The multiple classifier system (MCS) based on the dynamic ensemble …

Abstract The One-versus-One (OVO) strategy is one of the most common and effective
techniques to deal with multi-class classification problems. The basic idea of an OVO …

Background Therapeutics against the envelope (Env) proteins of human immunodeficiency
virus type 1 (HIV-1) effectively reduce viral loads in patients. However, due to mutations, new …

This paper presents a k-nearest oracle-based dynamic ensemble selection method in which
overall local accuracy (OLA) and local class accuracy (LCA) are combined into a twostep …

A key challenge in decision fusion systems is to determine the best performing combination
of local decision makers. This selection process can be performed statically at the training …

This paper evaluates some strategies to approximate the performance of dynamic
ensembles based on NN-rule to the oracle performance. For this purpose, we use a multi …

In this paper, the approach to implementation of Takagi-Sugeno-Kanga fuzzy system into the
Dynamic Ensemble Selection multi-classifier. Paper presents DES system with its working …