Decision rules for a hierarchical classifier. - Marek Kurzynski (Pattern Recognit. Lett., 1983)

On the multistage Bayes classifier. - Marek Kurzynski (Pattern Recognit., 1988)

On the identity of optimal strategies for multistage classifiers. - Marek Kurzynski (Pattern Recognit. Lett., 1989)

Algorithms of the multiperspective pattern recognition. - Marek Kurzynski; Edward Puchala (ICPR (2), 1992)

A branch-and-bound algorithm for optimization of multiperspective classifier. - Marek Kurzynski; Edward Puchala; Alexandra Blinowska (ICPR (2), 1994)

Diagnosis of Human Acid-Base Balance States via Combined Pattern Recognition of Markov Chains. - Marek Kurzynski; Michal Wozniak 001; Alexandra Blinowska (AIME, 1995)

Rule-based classification procedures related to the unprecisely formulated expert rules. - Marek Kurzynski; Jerzy Sas (SIBGRAPI, 1998)

Hybrid Pattern Recognition Algorithms with the Statistical Model Applied to the Computer-Aided Medical Diagnosis. - Marek Kurzynski; Edward Puchala; Jerzy Sas (ISMDA, 2001)

Multitask Pattern Recognition Algorithm for the Medical Decision Support System. - Edward Puchala; Marek Kurzynski (ISMDA, 2001)

Probabilistic algorithms, Neural Networks and Fuzzy System Applied to the Multistage Diagnosis of Acute Abdominal Pain - A Comparative Study of Methods. - Marek Kurzynski (FSKD, 2002)

Fuzzy Inference Systems for Multistage Diagnosis of Acute Renal Failure in Children. - Marek Kurzynski (ISMDA, 2003)

Consistency Conditions of the Expert Rule Set in the Probabilistic Pattern Recognition. - Marek Kurzynski (CIS, 2004)

Multistage Diagnosis of Myocardial Infraction Using a Fuzzy Relation. - Marek Kurzynski (ICAISC, 2004)

Decision Support Server Architecture for Mobile Medical Applications. - Marek Kurzynski; Jerzy Sas (ISBMDA, 2004)

Control of Artificial Hand via Recognition of EMG Signals. - Andrzej Wolczowski; Marek Kurzynski (ISBMDA, 2004)

Combining Rule-Based and Sample-Based Classifiers - Probabilistic Approach. - Marek Kurzynski (BVAI, 2005)

Combining Character Level Classifier and Probabilistic Lexicons in Handwritten Word Recognition - Comparative Analysis of Methods. - Marek Kurzynski; Jerzy Sas (CAIP, 2005)

Sequential Pattern Recognition: Naive Bayes Versus Fuzzy Relation Method. - Marek Kurzynski; Andrzej Zolnierek (CIMCA/IAWTIC, 2005)

Multilevel Recognition of Structured Handprinted Documents - Probabilistic Approach. - Jerzy Sas; Marek Kurzynski (CORES, 2005)

Application of Statistic Properties of Letters Succession in Polish Language to Handprint Recognition. - Jerzy Sas; Marek Kurzynski (CORES, 2005)

Fusion of Rule-Based and Sample-Based Classifiers - Probabilistic Approach. - Marek Kurzynski (ISCIS, 2005)

Computer-Aided Sequential Diagnosis Using Fuzzy Relations - Comparative Analysis of Methods. - Marek Kurzynski; Andrzej Zolnierek (ISBMDA, 2005)

Application of Three-Level Handprinted Documents Recognition in Medical Information Systems. - Jerzy Sas; Marek Kurzynski (ISBMDA, 2005)

Sequential Classification Via Fuzzy Relations. - Marek Kurzynski; Andrzej Zolnierek (ICAISC, 2006)

The Bayes-Optimal Feature Extraction Procedure for Pattern Recognition Using Genetic Algorithm. - Marek Kurzynski; Edward Puchala; Aleksander Rewak (ICANN (1), 2006)

The Optimal Feature Extraction Procedure for Statistical Pattern Recognition. - Marek Kurzynski; Edward Puchala (ICCSA (3), 2006)

Application of Combining Classifiers Using Dynamic Weights to the Protein Secondary Structure Prediction - Comparative Analysis of Fusion Methods. - Tomasz Woloszynski; Marek Kurzynski (ISBMDA, 2006)

Two-stage binary classifier with fuzzy-valued loss function. - Robert Burduk; Marek Kurzynski (Pattern Anal. Appl., 2006)

Rough Sets and Fuzzy Sets Theory Applied to the Sequential Medical Diagnosis. - Andrzej Zolnierek; Marek Kurzynski (PRIB, 2007)

Combining Classifiers in a Tree Structure. - Tomasz Woloszynski; Marek Kurzynski (CIMCA/IAWTIC/ISE, 2008)

The GA-Based Bayes-Optimal Feature Extraction Procedure Applied to the Supervised Pattern Recognition. - Marek Kurzynski; Aleksander Rewak (ICAISC, 2008)

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 (Information Technologies in Biomedicine, 2008)

Semi-automatic Handwritten Word Segmentation Based on Character Width Approximation Via Maximum Likelihood Method and Regression Model. - Jerzy Sas; Marek Kurzynski (Computer Recognition Systems 2, 2008)

Control of Dexterous Hand Via Recognition of EMG Signals Using Combination of Decision-Tree and Sequential Classifier. - Andrzej Wolczowski; Marek Kurzynski (Computer Recognition Systems 2, 2008)

On a New Measure of Classifier Competence Applied to the Design of Multiclassifier Systems. - Tomasz Woloszynski; Marek Kurzynski (ICIAP, 2009)

Control of Dexterous Bio-Prosthetic Hand via Sequential Recognition of EMG Signals Using Fuzzy Relations. - Marek Kurzynski; Andrzej Wolczowski (MIE, 2009)

Hand movement recognition based on biosignal analysis. - Pawel Wojtczak; Tito G. B. Amaral; Octávio Páscoa Dias; Andrzej Wolczowski; Marek Kurzynski (Eng. Appl. Artif. Intell., 2009)

Control of Bio-prosthetic Hand via Sequential Recognition of EMG Signals Using Rough Sets Theory. - Marek Kurzynski; Andrzej Zolnierek; Andrzej Wolczowski (Computer Recognition Systems 3, 2009)

On a New Measure of Classifier Competence in the Feature Space. - Tomasz Woloszynski; Marek Kurzynski (Computer Recognition Systems 3, 2009)

Neural Networks with AR Model Coefficients Applied to the EMG Signal Classification. - Marek Kurzynski; Andrzej Wolczowski (ANNIIP, 2010)

A Measure of Competence Based on Randomized Reference Classifier for Dynamic Ensemble Selection. - Tomasz Woloszynski; Marek Kurzynski (ICPR, 2010)

Human-machine interface in bioprosthesis control using EMG signal classification. - Andrzej Wolczowski; Marek Kurzynski (Expert Syst. J. Knowl. Eng., 2010)

Probabilistic Approach to the Dynamic Ensemble Selection Using Measures of Competence and Diversity of Base Classifiers. - Rafal Lysiak; Marek Kurzynski; Tomasz Woloszynski (HAIS (2), 2011)

A probabilistic model of classifier competence for dynamic ensemble selection. - Tomasz Woloszynski; Marek Kurzynski (Pattern Recognit., 2011)

New Measures of Classifier Competence - Heuristics and Application to the Design of Multiple Classifier Systems. - Bartlomiej Antosik; Marek Kurzynski (Computer Recognition Systems 4, 2011)

Control System of Bioprosthetic Hand Based on Advanced Analysis of Biosignals and Feedback from the Prosthesis Sensors. - Marek Kurzynski; Andrzej Wolczowski (ITIB, 2012)

Combining classifiers under probabilistic models: experimental comparative analysis of methods. - Marek Kurzynski; Michal Wozniak 001 (Expert Syst. J. Knowl. Eng., 2012)

A measure of competence based on random classification for dynamic ensemble selection. - Tomasz Woloszynski; Marek Kurzynski; Pawel Podsiadlo; Gwidon W. Stachowiak (Inf. Fusion, 2012)

Methods of Learning Classifier Competence Applied to the Dynamic Ensemble Selection. - Maciej Krysmann; Marek Kurzynski (CORES, 2013)

Power Saving Algorithms for Mobile Networks Using Classifiers Ensemble. - Rafal Lysiak; Marek Kurzynski (CORES, 2013)

Hardware Implementation of Fourier Transform for Real Time EMG Signals Recognition. - Andrzej Wolczowski; Przemyslaw Szecówka; Jacek Gora; Marek Kurzynski (CORES, 2013)

On a Two-Level Multiclassifier System with Error Correction Applied to the Control of Bioprosthetic Hand. - Marek Kurzynski (MedInfo, 2013)

The Impact of the Diversity on Multiple Classifier System Performance - Identifying Changes in the Amount of Fuel in the Fleet Management System. - Rafal Lysiak; Marek Kurzynski (ICINCO (1), 2014)

Two-Stage Multiclassifier System with Correction of Competence of Base Classifiers Applied to the Control of Bioprosthetic Hand. - Marek Kurzynski; Maciej Krysmann; Pawel Trajdos; Andrzej Wolczowski (ICTAI, 2014)

Multiclassifier System with Fuzzy Inference Method Applied to the Recognition of Biosignals in the Control of Bioprosthetic Hand. - Marek Kurzynski; Andrzej Wolczowski (ISNN, 2014)

Fuzzy Inference Methods Applied to the Learning Competence Measure in Dynamic Classifier Selection. - Marek Kurzynski; Maciej Krysmann (SIBGRAPI, 2014)

Optimal selection of ensemble classifiers using measures of competence and diversity of base classifiers. - Rafal Lysiak; Marek Kurzynski; Tomasz Woloszynski (Neurocomputing, 2014)

Hilbert-Huang Transform Applied to the Recognition of Multimodal Biosignals in the Control of Bioprosthetic Hand. - Edward Puchala; Maciej Krysmann; Marek Kurzynski (CORES, 2015)

Multiclassifier System with Dynamic Model of Classifier Competence Applied to the Control of Bioprosthetic Hand. - Marek Kurzynski (GCAI, 2015)

An Extension of Multi-label Binary Relevance Models Based on Randomized Reference Classifier and Local Fuzzy Confusion Matrix. - Pawel Trajdos; Marek Kurzynski (IDEAL, 2015)

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 (IJCCI (ECTA), 2015)

Dynamic Feature Selection Applied to the Recognition of Grasping Movements in the Control of Bioprosthetic Hand. - Marek Kurzynski (MIE, 2015)

Multi-label Stream Classification Using Extended Binary Relevance Model. - Pawel Trajdos; Marek Kurzynski (TrustCom/BigDataSE/ISPA (2), 2015)

Control of Hand Prosthesis Using Fusion of Biosignals and Information from Prosthesis Sensors. - Andrzej Wolczowski; Marek Kurzynski (Computational Intelligence and Efficiency in Engineering Systems, 2015)

A dynamic model of classifier competence based on the local fuzzy confusion matrix and the random reference classifier. - Pawel Trajdos; Marek Kurzynski (Int. J. Appl. Math. Comput. Sci., 2016)

Multiclassifier system with hybrid learning applied to the control of bioprosthetic hand. - Marek Kurzynski; Maciej Krysmann; Pawel Trajdos; Andrzej Wolczowski (Comput. Biol. Medicine, 2016)

On a New Method of Dynamic Integration of Fuzzy Linear Regression Models. - Jakub Kozerski; Marek Kurzynski (CORES, 2017)

On a New Method for Improving Weak Classifiers Using Bayes Metaclassifier. - Marcin Majak; Marek Kurzynski (CORES, 2017)

Permutation-Based Diversity Measure for Classifier-Chain Approach. - Pawel Trajdos; Marek Kurzynski (CORES, 2017)

On a New Competence Measure Applied to the Dynamic Selection of Classifiers Ensemble. - Marek Kurzynski; Pawel Trajdos (DS, 2017)

Multiclassifier System Using Class and Interclass Competence of Base Classifiers Applied to the Recognition of Grasping Movements in the Control of Bioprosthetic Hand. - Marek Kurzynski; Pawel Trajdos; Andrzej Wolczowski (EPIA, 2017)

Computer-aided training sensorimotor cortex functions in humans before the upper limb transplantation using virtual reality and sensory feedback. - Marek Kurzynski; Anna Jaskólska; Jaroslaw Marusiak; Andrzej Wolczowski; Przemyslaw Bierut; Lukasz Szumowski; Jerzy Witkowski; Katarzyna Kisiel-Sajewicz (Comput. Biol. Medicine, 2017)

An Ensemble Pruning Method Based on Class and Inter-Class Competences for Computer-Aided Medical Decisions. - Marek Kurzynski; Pawel Trajdos (CISP-BMEI, 2018)

A Correction Method of a Binary Classifier Applied to Multi-Label Pairwise Models. - Pawel Trajdos; Marek Kurzynski (Int. J. Neural Syst., 2018)

Weighting scheme for a pairwise multi-label classifier based on the fuzzy confusion matrix. - Pawel Trajdos; Marek Kurzynski (Pattern Recognit. Lett., 2018)

Randomized Reference Classifier with Gaussian Distribution and Soft Confusion Matrix Applied to the Improving Weak Classifiers. - Pawel Trajdos; Marek Kurzynski (CORES, 2019)

Dynamic Classifier Chains for Multi-label Learning. - Pawel Trajdos; Marek Kurzynski (GCPR, 2019)

An approximated decision-theoretic algorithm for minimization of the Tversky loss under the multi-label framework. - Pawel Trajdos; Marek Kurzynski (Pattern Anal. Appl., 2019)

A Correction Method of a Base Classifier Applied to Imbalanced Data Classification. - Pawel Trajdos; Marek Kurzynski (ICCS (4), 2020)

Building an Ensemble of Classifiers via Randomized Models of Ensemble Members. - Pawel Trajdos; Marek Kurzynski (CORES/IP&C/ACS, 2021)

Soft Confusion Matrix Classifier for Stream Classification. - Pawel Trajdos; Marek Kurzynski (ICCS (3), 2021)

Dynamic Time Warping Technique Applied to the User's Intent Recognition for Myoelectric-Based Control of Upper Limb Prosthesis. - Pawel Trajdos; Marek Kurzynski (CORES/IP&C, 2023)

A dual ensemble classifier used to recognise contaminated multi-channel EMG and MMG signals in the control of upper limb bioprosthesis. - Pawel Trajdos; Marek Kurzynski (CLD2, 2025)

Application of Context-dependent Interpretation of Biosignals Recognition to Control a Bionic Multifunctional Hand Prosthesis. - Pawel Trajdos; Marek Kurzynski (CoRR, 2025)

Cascade of one-class classifier ensemble and dynamic naive Bayes classifier applied to the myoelectric-based upper limb prosthesis control with contaminated channels detection. - Pawel Trajdos; Marek Kurzynski (CoRR, 2025)