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Journal Articles
- 2019
[j16]Pawel Trajdos
, Marek Kurzynski:
An approximated decision-theoretic algorithm for minimization of the Tversky loss under the multi-label framework. Pattern Anal. Appl. 22(2): 389-416 (2019)- 2018
- [j15]Pawel Trajdos, Marek Kurzynski:
A Correction Method of a Binary Classifier Applied to Multi-Label Pairwise Models. Int. J. Neural Syst. 28(9): 1750062:1-1750062:19 (2018) - [j14]Pawel Trajdos, Marek Kurzynski:
Weighting scheme for a pairwise multi-label classifier based on the fuzzy confusion matrix. Pattern Recognit. Lett. 103: 60-67 (2018) - 2017
- [j13]Marek Kurzynski, Anna Jaskólska, Jaroslaw Marusiak, Andrzej Wolczowski, Przemyslaw Bierut, Lukasz Szumowski, Jerzy Witkowski, Katarzyna Kisiel-Sajewicz:
Computer-aided training sensorimotor cortex functions in humans before the upper limb transplantation using virtual reality and sensory feedback. Comput. Biol. Medicine 87: 311-321 (2017) - 2016
- [j12]Pawel Trajdos, Marek Kurzynski:
A dynamic model of classifier competence based on the local fuzzy confusion matrix and the random reference classifier. Int. J. Appl. Math. Comput. Sci. 26(1): 175 (2016) - [j11]Marek Kurzynski, Maciej Krysmann, Pawel Trajdos, Andrzej Wolczowski:
Multiclassifier system with hybrid learning applied to the control of bioprosthetic hand. Comput. Biol. Medicine 69: 286-297 (2016) - 2014
- [j10]Rafal Lysiak, Marek Kurzynski, Tomasz Woloszynski:
Optimal selection of ensemble classifiers using measures of competence and diversity of base classifiers. Neurocomputing 126: 29-35 (2014) - 2012
- [j9]Marek Kurzynski, Michal Wozniak:
Combining classifiers under probabilistic models: experimental comparative analysis of methods. Expert Syst. J. Knowl. Eng. 29(4): 374-393 (2012) - [j8]Tomasz Woloszynski, Marek Kurzynski, Pawel Podsiadlo, Gwidon W. Stachowiak:
A measure of competence based on random classification for dynamic ensemble selection. Inf. Fusion 13(3): 207-213 (2012) - 2011
- [j7]Tomasz Woloszynski, Marek Kurzynski:
A probabilistic model of classifier competence for dynamic ensemble selection. Pattern Recognit. 44(10-11): 2656-2668 (2011) - 2010
- [j6]Andrzej Wolczowski, Marek Kurzynski:
Human-machine interface in bioprosthesis control using EMG signal classification. Expert Syst. J. Knowl. Eng. 27(1): 53-70 (2010) - 2009
- [j5]Pawel Wojtczak, Tito G. B. Amaral, Octávio Páscoa Dias, Andrzej Wolczowski, Marek Kurzynski:
Hand movement recognition based on biosignal analysis. Eng. Appl. Artif. Intell. 22(4-5): 608-615 (2009) - 2006
- [j4]Robert Burduk, Marek Kurzynski:
Two-stage binary classifier with fuzzy-valued loss function. Pattern Anal. Appl. 9(4): 353-358 (2006) - 1989
- [j3]Marek Kurzynski:
On the identity of optimal strategies for multistage classifiers. Pattern Recognit. Lett. 10(1): 39-46 (1989) - 1988
- [j2]Marek Kurzynski:
On the multistage Bayes classifier. Pattern Recognit. 21(4): 355-365 (1988) - 1983
- [j1]Marek Kurzynski:
Decision rules for a hierarchical classifier. Pattern Recognit. Lett. 1(5-6): 305-310 (1983)
Conference and Workshop Papers
- 2023
- [c59]Pawel Trajdos, Marek Kurzynski:
Dynamic Time Warping Technique Applied to the User's Intent Recognition for Myoelectric-Based Control of Upper Limb Prosthesis. CORES/IP&C 2023: 219-231 - 2021
- [c58]Pawel Trajdos, Marek Kurzynski:
Building an Ensemble of Classifiers via Randomized Models of Ensemble Members. CORES/IP&C/ACS 2021: 3-13 - [c57]Pawel Trajdos, Marek Kurzynski:
Soft Confusion Matrix Classifier for Stream Classification. ICCS (3) 2021: 3-17 - 2020
- [c56]Pawel Trajdos, Marek Kurzynski:
A Correction Method of a Base Classifier Applied to Imbalanced Data Classification. ICCS (4) 2020: 88-102 - 2019
- [c55]Pawel Trajdos, Marek Kurzynski:
Randomized Reference Classifier with Gaussian Distribution and Soft Confusion Matrix Applied to the Improving Weak Classifiers. CORES 2019: 326-336 - [c54]Pawel Trajdos, Marek Kurzynski:
Dynamic Classifier Chains for Multi-label Learning. GCPR 2019: 567-580 - 2018
- [c53]Marek Kurzynski, Pawel Trajdos:
An Ensemble Pruning Method Based on Class and Inter-Class Competences for Computer-Aided Medical Decisions. CISP-BMEI 2018: 1-6 - 2017
- [c52]Jakub Kozerski, Marek Kurzynski:
On a New Method of Dynamic Integration of Fuzzy Linear Regression Models. CORES 2017: 182-190 - [c51]Marcin Majak, Marek Kurzynski:
On a New Method for Improving Weak Classifiers Using Bayes Metaclassifier. CORES 2017: 258-267 - [c50]Pawel Trajdos, Marek Kurzynski:
Permutation-Based Diversity Measure for Classifier-Chain Approach. CORES 2017: 412-422 - [c49]Marek Kurzynski, Pawel Trajdos:
On a New Competence Measure Applied to the Dynamic Selection of Classifiers Ensemble. DS 2017: 93-107 - [c48]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. EPIA 2017: 174-185 - 2015
- [c47]Edward Puchala, Maciej Krysmann, Marek Kurzynski:
Hilbert-Huang Transform Applied to the Recognition of Multimodal Biosignals in the Control of Bioprosthetic Hand. CORES 2015: 565-575 - [c46]Marek Kurzynski:
Multiclassifier System with Dynamic Model of Classifier Competence Applied to the Control of Bioprosthetic Hand. GCAI 2015: 163-175 - [c45]Pawel Trajdos, Marek Kurzynski:
An Extension of Multi-label Binary Relevance Models Based on Randomized Reference Classifier and Local Fuzzy Confusion Matrix. IDEAL 2015: 69-76 - [c44]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. IJCCI (ECTA) 2015: 167-173 - [c43]Marek Kurzynski:
Dynamic Feature Selection Applied to the Recognition of Grasping Movements in the Control of Bioprosthetic Hand. MIE 2015: 484-488 - [c42]Pawel Trajdos, Marek Kurzynski:
Multi-label Stream Classification Using Extended Binary Relevance Model. TrustCom/BigDataSE/ISPA (2) 2015: 205-210 - 2014
- [c41]Rafal Lysiak, Marek Kurzynski:
The Impact of the Diversity on Multiple Classifier System Performance - Identifying Changes in the Amount of Fuel in the Fleet Management System. ICINCO (1) 2014: 348-354 - [c40]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. ICTAI 2014: 620-626 - [c39]Marek Kurzynski, Andrzej Wolczowski:
Multiclassifier System with Fuzzy Inference Method Applied to the Recognition of Biosignals in the Control of Bioprosthetic Hand. ISNN 2014: 469-478 - [c38]Marek Kurzynski, Maciej Krysmann:
Fuzzy Inference Methods Applied to the Learning Competence Measure in Dynamic Classifier Selection. SIBGRAPI 2014: 180-187 - 2013
- [c37]Maciej Krysmann, Marek Kurzynski:
Methods of Learning Classifier Competence Applied to the Dynamic Ensemble Selection. CORES 2013: 151-160 - [c36]Rafal Lysiak, Marek Kurzynski:
Power Saving Algorithms for Mobile Networks Using Classifiers Ensemble. CORES 2013: 773-782 - [c35]Andrzej Wolczowski, Przemyslaw Szecówka, Jacek Gora, Marek Kurzynski:
Hardware Implementation of Fourier Transform for Real Time EMG Signals Recognition. CORES 2013: 783-792 - [c34]Marek Kurzynski:
On a Two-Level Multiclassifier System with Error Correction Applied to the Control of Bioprosthetic Hand. MedInfo 2013: 1093 - 2012
- [c33]Marek Kurzynski, Andrzej Wolczowski:
Control System of Bioprosthetic Hand Based on Advanced Analysis of Biosignals and Feedback from the Prosthesis Sensors. ITIB 2012: 199-208 - 2011
- [c32]Rafal Lysiak, Marek Kurzynski, Tomasz Woloszynski:
Probabilistic Approach to the Dynamic Ensemble Selection Using Measures of Competence and Diversity of Base Classifiers. HAIS (2) 2011: 229-236 - 2010
- [c31]Marek Kurzynski, Andrzej Wolczowski:
Neural Networks with AR Model Coefficients Applied to the EMG Signal Classification. ANNIIP 2010: 81-86 - [c30]Tomasz Woloszynski, Marek Kurzynski:
A Measure of Competence Based on Randomized Reference Classifier for Dynamic Ensemble Selection. ICPR 2010: 4194-4197 - 2009
- [c29]Tomasz Woloszynski, Marek Kurzynski:
On a New Measure of Classifier Competence Applied to the Design of Multiclassifier Systems. ICIAP 2009: 995-1004 - [c28]Marek Kurzynski, Andrzej Wolczowski:
Control of Dexterous Bio-Prosthetic Hand via Sequential Recognition of EMG Signals Using Fuzzy Relations. MIE 2009: 799-803 - 2008
- [c27]Tomasz Woloszynski, Marek Kurzynski:
Combining Classifiers in a Tree Structure. CIMCA/IAWTIC/ISE 2008: 785-790 - [c26]Marek Kurzynski, Aleksander Rewak:
The GA-Based Bayes-Optimal Feature Extraction Procedure Applied to the Supervised Pattern Recognition. ICAISC 2008: 620-631 - 2007
- [c25]Andrzej Zolnierek, Marek Kurzynski:
Rough Sets and Fuzzy Sets Theory Applied to the Sequential Medical Diagnosis. PRIB 2007: 311-322 - 2006
- [c24]Marek Kurzynski, Andrzej Zolnierek:
Sequential Classification Via Fuzzy Relations. ICAISC 2006: 623-632 - [c23]Marek Kurzynski, Edward Puchala, Aleksander Rewak:
The Bayes-Optimal Feature Extraction Procedure for Pattern Recognition Using Genetic Algorithm. ICANN (1) 2006: 21-30 - [c22]Marek Kurzynski, Edward Puchala:
The Optimal Feature Extraction Procedure for Statistical Pattern Recognition. ICCSA (3) 2006: 1210-1215 - [c21]Tomasz Woloszynski, Marek Kurzynski:
Application of Combining Classifiers Using Dynamic Weights to the Protein Secondary Structure Prediction - Comparative Analysis of Fusion Methods. ISBMDA 2006: 83-91 - 2005
- [c20]Marek Kurzynski:
Combining Rule-Based and Sample-Based Classifiers - Probabilistic Approach. BVAI 2005: 298-307 - [c19]Marek Kurzynski, Jerzy Sas:
Combining Character Level Classifier and Probabilistic Lexicons in Handwritten Word Recognition - Comparative Analysis of Methods. CAIP 2005: 330-337 - [c18]Marek Kurzynski, Andrzej Zolnierek:
Sequential Pattern Recognition: Naive Bayes Versus Fuzzy Relation Method. CIMCA/IAWTIC 2005: 1165-1170 - [c17]Jerzy Sas, Marek Kurzynski:
Multilevel Recognition of Structured Handprinted Documents - Probabilistic Approach. CORES 2005: 723-730 - [c16]Jerzy Sas, Marek Kurzynski:
Application of Statistic Properties of Letters Succession in Polish Language to Handprint Recognition. CORES 2005: 731-738 - [c15]Marek Kurzynski:
Fusion of Rule-Based and Sample-Based Classifiers - Probabilistic Approach. ISCIS 2005: 533-542 - [c14]Jerzy Sas, Marek Kurzynski:
Application of Three-Level Handprinted Documents Recognition in Medical Information Systems. ISBMDA 2005: 1-12 - [c13]Marek Kurzynski, Andrzej Zolnierek:
Computer-Aided Sequential Diagnosis Using Fuzzy Relations - Comparative Analysis of Methods. ISBMDA 2005: 242-251 - 2004
- [c12]Marek Kurzynski:
Consistency Conditions of the Expert Rule Set in the Probabilistic Pattern Recognition. CIS 2004: 831-836 - [c11]Marek Kurzynski:
Multistage Diagnosis of Myocardial Infraction Using a Fuzzy Relation. ICAISC 2004: 1014-1019 - [c10]Marek Kurzynski, Jerzy Sas:
Decision Support Server Architecture for Mobile Medical Applications. ISBMDA 2004: 105-116 - [c9]Andrzej Wolczowski, Marek Kurzynski:
Control of Artificial Hand via Recognition of EMG Signals. ISBMDA 2004: 356-367 - 2003
- [c8]Marek Kurzynski:
Fuzzy Inference Systems for Multistage Diagnosis of Acute Renal Failure in Children. ISMDA 2003: 99-108 - 2002
- [c7]Marek Kurzynski:
Probabilistic algorithms, Neural Networks and Fuzzy System Applied to the Multistage Diagnosis of Acute Abdominal Pain - A Comparative Study of Methods. FSKD 2002: 245-249 - 2001
- [c6]Marek Kurzynski, Edward Puchala, Jerzy Sas:
Hybrid Pattern Recognition Algorithms with the Statistical Model Applied to the Computer-Aided Medical Diagnosis. ISMDA 2001: 133-139 - [c5]Edward Puchala, Marek Kurzynski:
Multitask Pattern Recognition Algorithm for the Medical Decision Support System. ISMDA 2001: 225-230 - 1998
- [c4]Marek Kurzynski, Jerzy Sas:
Rule-based classification procedures related to the unprecisely formulated expert rules. SIBGRAPI 1998: 241-245 - 1995
- [c3]Marek Kurzynski, Michal Wozniak, Alexandra Blinowska:
Diagnosis of Human Acid-Base Balance States via Combined Pattern Recognition of Markov Chains. AIME 1995: 405-406 - 1994
- [c2]Marek Kurzynski, Edward Puchala, Alexandra Blinowska:
A branch-and-bound algorithm for optimization of multiperspective classifier. ICPR (2) 1994: 235-239 - 1992
- [c1]Marek Kurzynski, Edward Puchala:
Algorithms of the multiperspective pattern recognition. ICPR (2) 1992: 627-630
Parts in Books or Collections
- 2015
- [p7]Andrzej Wolczowski, Marek Kurzynski:
Control of Hand Prosthesis Using Fusion of Biosignals and Information from Prosthesis Sensors. Computational Intelligence and Efficiency in Engineering Systems 2015: 259-273 - 2011
- [p6]Bartlomiej Antosik, Marek Kurzynski:
New Measures of Classifier Competence - Heuristics and Application to the Design of Multiple Classifier Systems. Computer Recognition Systems 4 2011: 197-206 - 2009
- [p5]Tomasz Woloszynski, Marek Kurzynski:
On a New Measure of Classifier Competence in the Feature Space. Computer Recognition Systems 3 2009: 285-292 - [p4]Marek Kurzynski, Andrzej Zolnierek, Andrzej Wolczowski:
Control of Bio-prosthetic Hand via Sequential Recognition of EMG Signals Using Rough Sets Theory. Computer Recognition Systems 3 2009: 455-462 - 2008
- [p3]Marek Kurzynski, Andrzej Wolczowski, Mariusz Topolski:
Control of Hand Bioprosthesis Via Sequential Recognition of Patient's Intent Using Combination of Fuzzy Sets and Dempster-Shafer Theory. Information Technologies in Biomedicine 2008: 421-428 - [p2]Jerzy Sas, Marek Kurzynski:
Semi-automatic Handwritten Word Segmentation Based on Character Width Approximation Via Maximum Likelihood Method and Regression Model. Computer Recognition Systems 2 2008: 485-492 - [p1]Andrzej Wolczowski, Marek Kurzynski:
Control of Dexterous Hand Via Recognition of EMG Signals Using Combination of Decision-Tree and Sequential Classifier. Computer Recognition Systems 2 2008: 687-694
Editorship
- 2022
- [e11]Michal Choras, Ryszard S. Choras, Marek Kurzynski, Pawel Trajdos, Jerzy Pejas, Tomasz Hyla:
Progress in Image Processing, Pattern Recognition and Communication Systems - Proceedings of the Conference (CORES, IP&C, ACS), Virtual Event / Bydgoszcz, Poland, June 28-30, 2021. Lecture Notes in Networks and Systems 255, Springer 2022, ISBN 978-3-030-81522-6 [contents] - 2020
- [e10]Robert Burduk, Marek Kurzynski, Michal Wozniak:
Progress in Computer Recognition Systems, International Conference on Computer Recognition Systems, CORES 2019, Polanica-Zdrój, Poland, 20-22 May, 2019. Advances in Intelligent Systems and Computing 977, Springer 2020, ISBN 978-3-030-19737-7 [contents] - 2018
- [e9]Marek Kurzynski, Michal Wozniak, Robert Burduk:
Proceedings of the 10th International Conference on Computer Recognition Systems CORES 2017, Polanica Zdroj, Poland, 22-24 May 2017. Advances in Intelligent Systems and Computing 578, 2018, ISBN 978-3-319-59161-2 [contents] - 2016
- [e8]Robert Burduk, Konrad Jackowski, Marek Kurzynski, Michal Wozniak, Andrzej Zolnierek:
Proceedings of the 9th International Conference on Computer Recognition Systems CORES 2015, Wroclaw, Poland, 25-27 May 2015. Advances in Intelligent Systems and Computing 403, Springer 2016, ISBN 978-3-319-26225-3 [contents] - 2013
- [e7]Robert Burduk, Konrad Jackowski, Marek Kurzynski, Michal Wozniak, Andrzej Zolnierek:
Proceedings of the 8th International Conference on Computer Recognition Systems CORES 2013, Milkow, Poland, 27-29 May 2013. Advances in Intelligent Systems and Computing 226, Springer 2013, ISBN 978-3-319-00968-1 [contents] - 2011
- [e6]Emilio Corchado, Marek Kurzynski, Michal Wozniak:
Hybrid Artificial Intelligent Systems - 6th International Conference, HAIS 2011, Wroclaw, Poland, May 23-25, 2011, Proceedings, Part I. Lecture Notes in Computer Science 6678, Springer 2011, ISBN 978-3-642-21218-5 [contents] - [e5]Emilio Corchado, Marek Kurzynski, Michal Wozniak:
Hybrid Artificial Intelligent Systems - 6th International Conference, HAIS 2011, Wroclaw, Poland, May 23-25, 2011, Proceedings, Part II. Lecture Notes in Computer Science 6679, Springer 2011, ISBN 978-3-642-21221-5 [contents] - [e4]Robert Burduk, Marek Kurzynski, Michal Wozniak, Andrzej Zolnierek:
Computer Recognition Systems 4. Advances in Intelligent and Soft Computing 95, Springer 2011, ISBN 978-3-642-20319-0 [contents] - 2009
- [e3]Marek Kurzynski, Michal Wozniak:
Computer Recognition Systems 3. Advances in Intelligent and Soft Computing 57, Springer 2009, ISBN 978-3-540-93904-7 [contents] - 2008
- [e2]Marek Kurzynski, Edward Puchala, Michal Wozniak, Andrzej Zolnierek:
Computer Recognition Systems 2. Advances in Soft Computing 45, Springer 2008, ISBN 978-3-540-75174-8 [contents] - 2005
- [e1]Marek Kurzynski, Edward Puchala, Michal Wozniak, Andrzej Zolnierek:
Computer Recognition Systems, Proceedings of the 4th International Conference on Computer Recognition Systems, CORES'05, May 22-25, 2005, Rydzyna Castle, Poland. Advances in Soft Computing 30, Springer 2005, ISBN 978-3-540-25054-8 [contents]
Informal and Other Publications
- 2024
- [i7]Pawel Trajdos, Marek Kurzynski:
A dual ensemble classifier used to recognise contaminated multi-channel EMG and MMG signals in the control of upper limb bioprosthesis. CoRR abs/2407.18675 (2024) - 2021
- [i6]Pawel Trajdos, Marek Kurzynski:
Soft Confusion Matrix Classifier for Stream Classification. CoRR abs/2109.07857 (2021) - [i5]Pawel Trajdos, Marek Kurzynski:
Building an Ensemble of Classifiers via Randomized Models of Ensemble Members. CoRR abs/2109.07861 (2021) - 2019
- [i4]Pawel Trajdos, Marek Kurzynski:
Randomized Reference Classifier with Gaussian Distribution and Soft Confusion Matrix Applied to the Improving Weak Classifiers. CoRR abs/1905.09820 (2019) - 2017
- [i3]Pawel Trajdos, Marek Kurzynski:
Dynamic classifier chains for multi-label learning. CoRR abs/1710.07491 (2017) - [i2]Pawel Trajdos, Marek Kurzynski:
A Correction Method of a Binary Classifier Applied to Multi-label Pairwise Models. CoRR abs/1710.08729 (2017) - [i1]Pawel Trajdos, Marek Kurzynski:
Weighting Scheme for a Pairwise Multi-label Classifier Based on the Fuzzy Confusion Matrix. CoRR abs/1710.09710 (2017)
Coauthor Index
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