Marek Kurzynski

Marek Kurzynski, Tomasz Woloszynski, Andrzej Wolczowski, 2010, 2010 3rd International Symposium on Applied Sciences in Biomedical and Communication Technologies (ISABEL 2010).

A Correction Method of a Binary Classifier Applied to Multi-label Pairwise Models

Marek Kurzynski, Pawel Trajdos, M. Kurzynski, 2017, Int. J. Neural Syst..

Hilbert-Huang Transform Applied to the Recognition of Multimodal Biosignals in the Control of Bioprosthetic Hand

Marek Kurzynski, Edward Puchala, Maciej Krysmann, 2015, CORES.

A probabilistic model of classifier competence for dynamic ensemble selection

Marek Kurzynski, Tomasz Woloszynski, M. Kurzynski, 2011, Pattern Recognit..

Control of hand prosthesis using fusion of information from bio-signals and from prosthesis sensors

Marek Kurzynski, Andrzej Wolczowski, 2014, 2014 Asia-Pacific Conference on Computer Aided System Engineering (APCASE).

Fuzzy Inference Systems for Multistage Diagnosis of Acute Renal Failure in Children

Marek Kurzynski, 2003, ISMDA.

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

Marek Kurzynski, Pawel Trajdos, 2018, Pattern Recognit. Lett..

On a New Method for Improving Weak Classifiers Using Bayes Metaclassifier

Marcin Majak, Marek Kurzynski, 2017, CORES.

The Bayes-Optimal Feature Extraction Procedure for Pattern Recognition Using Genetic Algorithm

Marek Kurzynski, Edward Puchala, Aleksander Rewak, 2006, ICANN.

Probabilistic algorithms, Neural Networks and Fuzzy System Applied to the Multistage Diagnosis of Acute Abdominal Pain - A Comparative Study of Methods

Marek Kurzynski, 2002, FSKD.

Combining classifiers under probabilistic models: experimental comparative analysis of methods

Michal Wozniak, Marek Kurzynski, M. Kurzynski, 2012, Expert Syst. J. Knowl. Eng..

Consistency Conditions of the Expert Rule Set in the Probabilistic Pattern Recognition

Marek Kurzynski, 2004, CIS.

On the identity of optimal strategies for multistage classifiers

Marek Kurzynski, 1989, Pattern Recognit. Lett..

Application of Combining Classifiers Using Dynamic Weights to the Protein Secondary Structure Prediction - Comparative Analysis of Fusion Methods

Marek Kurzynski, Tomasz Woloszynski, 2006, ISBMDA.

A Measure of Competence Based on Randomized Reference Classifier for Dynamic Ensemble Selection

Marek Kurzynski, Tomasz Woloszynski, M. Kurzynski, 2010, 2010 20th International Conference on Pattern Recognition.

Multi-label Stream Classification Using Extended Binary Relevance Model

Marek Kurzynski, Pawel Trajdos, M. Kurzynski, 2015, 2015 IEEE Trustcom/BigDataSE/ISPA.

Control of Hand Bioprosthesis Via Sequential Recognition of Patient's Intent Using Combination of Fuzzy Sets and Dempster-Shafer Theory

Marek Kurzynski, Andrzej Wolczowski, Mariusz Topolski, 2008, Information Technologies in Biomedicine.

Hardware Implementation of Fourier Transform for Real Time EMG Signals Recognition

Marek Kurzynski, Andrzej Wolczowski, Jacek Gora, 2013, CORES.

Control of Dexterous Bio-Prosthetic Hand via Sequential Recognition of EMG Signals Using Fuzzy Relations

Marek Kurzynski, Andrzej Wolczowski, 2009, MIE.

Decision Support Server Architecture for Mobile Medical Applications

Jerzy Sas, Marek Kurzynski, 2004, ISBMDA.

Control of Artificial Hand via Recognition of EMG Signals

Marek Kurzynski, Andrzej Wolczowski, M. Kurzynski, 2004, ISBMDA.

Application of Statistic Properties of Letters Succession in Polish Language to Handprint Recognition

Jerzy Sas, Marek Kurzynski, M. Kurzynski, 2005, CORES.

Dynamic feature selection with wrapper model and ensemble approach based on measures of local relevances and group diversity using genetic algorithm

Marek Kurzynski, Pawel Trajdos, Maciej Krysmann, 2015, 2015 7th International Joint Conference on Computational Intelligence (IJCCI).

Application of Three-Level Handprinted Documents Recognition in Medical Information Systems

Jerzy Sas, Marek Kurzynski, 2005, ISBMDA.

Optimal selection of ensemble classifiers using measures of competence and diversity of base classifiers

Marek Kurzynski, Tomasz Woloszynski, Rafal Lysiak, 2014, Neurocomputing.

On a New Competence Measure Applied to the Combining Multiclassifier System

Marek Kurzynski, M. Kurzynski, 2016 .

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

Marek Kurzynski, Andrzej Wolczowski, Pawel Trajdos, 2016, Comput. Biol. Medicine.

Decision rules for a hierarchical classifier

Marek Kurzynski, M. Kurzynski, 1983, Pattern Recognit. Lett..

On a New Method of Dynamic Integration of Fuzzy Linear Regression Models

Marek Kurzynski, Jakub Kozerski, 2017, CORES.

Diagnosis of Human Acid-Base Balance States via Combined Pattern Recognition of Markov Chains

Michal Wozniak, Marek Kurzynski, Alexandra Blinowska, 1995, AIME.

Multiclassifier System with Dynamic Model of Classifier Competence Applied to the Control of Bioprosthetic Hand

Marek Kurzynski, M. Kurzynski, 2015, GCAI.

Multiclassifier System with Fuzzy Inference Method Applied to the Recognition of Biosignals in the Control of Bioprosthetic Hand

Marek Kurzynski, Andrzej Wolczowski, 2014, ISNN.

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

Marek Kurzynski, Pawel Trajdos, M. Kurzynski, 2017, Pattern Analysis and Applications.

Combining Classifiers in a Tree Structure

Marek Kurzynski, Tomasz Woloszynski, M. Kurzynski, 2008, 2008 International Conference on Computational Intelligence for Modelling Control & Automation.

Two-Stage Multiclassifier System with Correction of Competence of Base Classifiers Applied to the Control of Bioprosthetic Hand

Marek Kurzynski, Andrzej Wolczowski, Pawel Trajdos, 2014, 2014 IEEE 26th International Conference on Tools with Artificial Intelligence.

Combining Character Level Classifier and Probabilistic Lexicons in Handwritten Word Recognition - Comparative Analysis of Methods

Jerzy Sas, Marek Kurzynski, 2005, CAIP.

On a New Measure of Classifier Competence Applied to the Design of Multiclassifier Systems

Marek Kurzynski, Tomasz Woloszynski, M. Kurzynski, 2009, ICIAP.

Control System of Bioprosthetic Hand Based on Advanced Analysis of Biosignals and Feedback from the Prosthesis Sensors

Marek Kurzynski, Andrzej Wolczowski, 2012, ITIB.

The GA-Based Bayes-Optimal Feature Extraction Procedure Applied to the Supervised Pattern Recognition

Marek Kurzynski, Aleksander Rewak, M. Kurzynski, 2006, ICAISC.

A branch-and-bound algorithm for optimization of multiperspective classifier

Marek Kurzynski, Edward Puchala, Alexandra Blinowska, 1994, Proceedings of the 12th IAPR International Conference on Pattern Recognition, Vol. 3 - Conference C: Signal Processing (Cat. No.94CH3440-5).

Multitask Pattern Recognition Algorithm for the Medical Decision Support System

Marek Kurzynski, Edward Puchala, 2001, ISMDA.

Dynamic Feature Selection Applied to the Recognition of Grasping Movements in the Control of Bioprosthetic Hand

Marek Kurzynski, 2015, MIE.

Hybrid Pattern Recognition Algorithms with the Statistical Model Applied to the Computer-Aided Medical Diagnosis

Jerzy Sas, Marek Kurzynski, Edward Puchala, 2001, ISMDA.

Sequential Pattern Recognition: Naive Bayes Versus Fuzzy Relation Method

Andrzej Zolnierek, Marek Kurzynski, 2005, International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce (CIMCA-IAWTIC'06).

Multilevel Recognition of Structured Handprinted Documents - Probabilistic Approach

Jerzy Sas, Marek Kurzynski, 2005, CORES.

On a New Competence Measure Applied to the Dynamic Selection of Classifiers Ensemble

Marek Kurzynski, Pawel Trajdos, M. Kurzynski, 2017, DS.

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

Marek Kurzynski, Pawel Trajdos, 2020, ICCS.

Computer-Aided Sequential Diagnosis Using Fuzzy Relations - Comparative Analysis of Methods

Andrzej Zolnierek, Marek Kurzynski, 2005, ISBMDA.

Permutation-Based Diversity Measure for Classifier-Chain Approach

Marek Kurzynski, Pawel Trajdos, M. Kurzynski, 2017, CORES.

Computer Recognition Systems 3

Marek Kurzynski, Michal Wozniak, 2009, Advances in Intelligent and Soft Computing.

Control of Hand Prosthesis Using Fusion of Biosignals and Information from Prosthesis Sensors

Marek Kurzynski, Andrzej Wolczowski, 2015, Computational Intelligence and Efficiency in Engineering Systems.

Fuzzy Inference Systems Applied to the Combining Regression Models

Marek Kurzynski, Maciej Krysmann, Jakub Kozerski, 2018, 2018 International Conference on Sustainable Energy, Electronics, and Computing Systems (SEEMS).

Randomized Reference Classifier with Gaussian Distribution and Soft Confusion Matrix Applied to the Improving Weak Classifiers pdf

Marek Kurzynski, Pawel Trajdos, 2019, CORES.

An Ensemble Pruning Method Based on Class and Inter-Class Competences for Computer-Aided Medical Decisions

Marek Kurzynski, Pawel Trajdos, 2018, 2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI).

Power Saving Algorithms for Mobile Networks Using Classifiers Ensemble

Marek Kurzynski, Rafal Lysiak, 2013, CORES.

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

Marek Kurzynski, Pawel Trajdos, M. Kurzynski, 2016, Int. J. Appl. Math. Comput. Sci..

On two measures of classifier competence for dynamic ensemble selection - experimental comparative analysis

Marek Kurzynski, Tomasz Woloszynski, Rafal Lysiak, 2010, 2010 10th International Symposium on Communications and Information Technologies.

Multiclassifiers with competence function applied to the recognition of emg signals for the control of bio-prosthetic hand

Marek Kurzynski, Tomasz Woloszynski, Andrzej Wolczowski, 2009, 2009 9th International Conference on Information Technology and Applications in Biomedicine.

The Optimal Feature Extraction Procedure for Statistical Pattern Recognition

Marek Kurzynski, Edward Puchala, M. Kurzynski, 2006, ICCSA.

Building an Ensemble of Classifiers via Randomized Models of Ensemble Members

Marek Kurzynski, Pawel Trajdos, M. Kurzynski, 2021, CORES/IP&C/ACS.

Soft Confusion Matrix Classifier for Stream Classification pdf

Marek Kurzynski, Pawel Trajdos, M. Kurzynski, 2021, ICCS.

Hetero- and Homogeneous Multiclassifier Systems Based on Competence Measure Applied to the Recognition of Hand Grasping Movements

Marek Kurzynski, Andrzej Wolczowski, 2014 .