Building an Ensemble of Classifiers via Randomized Models of Ensemble Members

Trajdos, Pawel and Kurzynski, Marek

Lecture Notes in Networks and Systems, 2021

Soft Confusion Matrix Classifier for Stream Classification

Trajdos, Pawel and Kurzynski, Marek

Lecture Notes in Computer Science, 2021

Linear classifier combination via multiple potential functions

Trajdos, Pawel and Burduk, Robert

Pattern Recognition, 2021
W ramach projektu GEOM

A Correction Method of a Base Classifier Applied to Imbalanced Data Classification

Trajdos, Pawel and Kurzynski, Marek

Computational Science – ICCS 2020, 2020

Combining Linear Classifiers Using Probability-Based Potential Functions

Trajdos, Pawel and Burduk, Robert

IEEE Access, 2020

Dynamic Classifier Chains for Multi-label Learning

Trajdos, Pawel and Kurzynski, Marek

Pattern Recognition, 2019

Permutation-Based Diversity Measure for Classifier-Chain Approach

Trajdos, Pawel and Kurzynski, Marek

Proceedings of the 10th International Conference on Computer Recognition Systems CORES 2017, 2017

An approximated decision-theoretic algorithm for minimization of the Tversky loss under the multi-label framework

Trajdos, Pawel and Kurzynski, Marek

Pattern Analysis and Applications, 2017

Multiclassifier system with hybrid learning applied to the control of bioprosthetic hand

Kurzynski, Marek and Krysmann, Maciej and Trajdos, Pawel and Wolczowski, Andrzej

Computers in Biology and Medicine, 2016

A dynamic model of classifier competence based on the local fuzzy confusion matrix and the random reference classifier

Trajdos, Pawel and Kurzynski, Marek

International Journal of Applied Mathematics and Computer Science, 2016

Multi-label Stream Classification Using Extended Binary Relevance Model

Trajdos, Pawel and Kurzynski, Marek

2015 IEEE Trustcom/BigDataSE/ISPA, 2015

An Extension of Multi-label Binary Relevance Models Based on Randomized Reference Classifier and Local Fuzzy Confusion Matrix

Trajdos, Pawel and Kurzynski, Marek

Lecture Notes in Computer Science, 2015