dr inż. Paweł Trajdos - KSSK

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dr inż.

Paweł Trajdos

Zespół Inteligencji Obliczeniowej i Informatyki Medycznej

Zainteresowania badawcze

Artificial Intelligence

Machine Learning

Multi-label Classification

Prowadzi w tym semestrze

Programowanie obiektowe

Projekt naukowo-wdrożeniowy 1

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Rozkład zajęć

Poniedziałek
Projekt naukowo-wdrożeniowy 1 C-16: P2.4 | 11.15—13.00
Projekt naukowo-wdrożeniowy 1 C-16: P2.4 | 15.15—16.55
Środa
Programowanie obiektowe C-16: P2.4 | 13.15—15.00
Piątek
Programowanie obiektowe C-4: 131 | 13.15—15.00
Programowanie obiektowe C-1: sala wirtualna | 13.15—15.00

Wybrane publikacje

Marek Kurzynski, Maciej Krysmann, Pawel Trajdos, Andrzej Wolczowski

Multiclassifier system with hybrid learning applied to the control of bioprosthetic hand [2016]

Pawel Trajdos, Marek Kurzynski

A dynamic model of classifier competence based on the local fuzzy confusion matrix and the random reference classifier [2016]

Pawel Trajdos, Marek Kurzynski

Weighting scheme for a pairwise multi-label classifier based on the fuzzy confusion matrix [2018]

Pawel Trajdos, Marek Kurzynski

An extension of multi-label binary relevance models based on randomized reference classifier and local fuzzy confusion matrix [2015]

[2014] Marek Kurzynski, Maciej Krysmann, Pawel Trajdos, Andrzej Wolczowski, Two-stage multiclassifier system with correction of competence of base classifiers applied to the control of bioprosthetic hand 7 cytowań

[2013] Robert Burduk, Pawel Trajdos, Construction of sequential classifier using confusion matrix 6 cytowań

[2018] Pawel Trajdos, Marek Kurzynski, A correction method of a binary classifier applied to multi-label pairwise models 5 cytowań

[2015] Pawel Trajdos, Marek Kurzynski, Multi-label stream classification using extended binary relevance model 5 cytowań

[2017] Marek Kurzynski, Pawel Trajdos, On a new competence measure applied to the dynamic selection of classifiers ensemble 3 cytowań

[2019] Pawel Trajdos, Robert Burduk, Combination of linear classifiers using score function–analysis of possible combination strategies 2 cytowań

[2017] Marek Kurzynski, Pawel Trajdos, Andrzej Wolczowski, Multiclassifier system using class and interclass competence of base classifiers applied to the recognition of grasping movements in the control of bioprosthetic hand 2 cytowań

[2017] Pawel Trajdos, Marek Kurzynski, Permutation-based diversity measure for classifier-chain approach 2 cytowań

[2015] Marek Kurzynski, Pawel Trajdos, Maciej Krysmann, Dynamic feature selection with wrapper model and ensemble approach based on measures of local relevances and group diversity using genetic algorithm 2 cytowań

[2019] Pawel Trajdos, Marek Kurzynski, Dynamic classifier chains for multi-label learning 1 cytowań

[2018] Marek Kurzynski, Pawel Trajdos, An ensemble pruning method based on class and inter-class competences for computer-aided medical decisions 1 cytowań

[2017] Marek Kurzynski Pawel Trajdos, Naive Bayes Classifier for Dynamic Chaining Approach in Multi-label Learning 1 cytowań

[2014] Pawel Trajdos, Adam Kamizelich, Marek Kurzynski, Three-Step Framework of Feature Selection for Data of DNA Microarray Experiments 1 cytowań

[2013] Robert Burduk, Pawel Trajdos, Construction of sequential classifier based on broken stick model 1 cytowań

[2020] Pawel Trajdos, Robert Burduk, Linear Classifier Combination via Multiple Potential Functions

[2020] Pawel Trajdos, Marek Kurzynski, A Correction Method of a Base Classifier Applied to Imbalanced Data Classification

[2019] Pawel Trajdos, Marek Kurzynski, Randomized Reference Classifier with Gaussian Distribution and Soft Confusion Matrix Applied to the Improving Weak Classifiers

[2019] Pawel Trajdos, Marek Kurzynski, An approximated decision-theoretic algorithm for minimization of the Tversky loss under the multi-label framework

[2019] Pawel Trajdos, Marcin Majak, Bayes metaclassifier and Soft-confusion-matrix classifier in the task of multi-label classification

[2014] Robert Burduk, Paweł Trajdos, Construction of Sequential Classifier Based on MacArthur’s overlapping niches model