7 citations · 15 across the 6 of their papers we have counts for
6 papers
Building an Ensemble of Classifiers via Randomized Models of Ensemble Members
Pawel Trajdos, Marek Kurzynski
Many dynamic ensemble selection (DES) methods are known in the literature. A previously-developed by the authors, method consists in building a randomized classifier which is treat…
Soft Confusion Matrix Classifier for Stream Classification
Pawel Trajdos, Marek Kurzynski
In this paper, the issue of tailoring the soft confusion matrix (SCM) based classifier to deal with stream learning task is addressed. The main goal of the work is to develop a wra…
Linear Classifier Combination via Multiple Potential Functions
Pawel Trajdos, Robert Burduk
A vital aspect of the classification based model construction process is the calibration of the scoring function. One of the weaknesses of the calibration process is that it does n…
Randomized Reference Classifier with Gaussian Distribution and Soft Confusion Matrix Applied to the Improving Weak Classifiers
Pawel Trajdos, Marek Kurzynski
In this paper, an issue of building the RRC model using probability distributions other than beta distribution is addressed. More precisely, in this paper, we propose to build the…
Combination of linear classifiers using score function -- analysis of possible combination strategies
Pawel Trajdos, Robert Burduk
In this work, we addressed the issue of combining linear classifiers using their score functions. The value of the scoring function depends on the distance from the decision bounda…
Bayes metaclassifier and Soft-confusion-matrix classifier in the task of multi-label classification
Pawel Trajdos, Marcin Majak
The aim of this paper was to compare soft confusion matrix approach and Bayes metaclassifier under the multi-label classification framework. Although the methods were successfully…