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Krzysztof Cpałka
Konsultacje: poniedziałek 8:15-12:00
Więcej informacji można uzyskać na stronie: https://kisi.pcz.pl/krzysztofcpalka.
Publikacje (114)
2024 (1)
Slowik A., Cpalka K., Xue Y., Hapka A., An efficient approach to parameter extraction of photovoltaic cell models using a new population-based algorithm. (0)
An efficient approach to parameter extraction of photovoltaic cell models using a new population-based algorithm
, An efficient approach to parameter extraction of photovoltaic cell models using a new population-based algorithm, Applied Energy, 364, 364, 2024, Liczba cytowań: 02023 (4)
Kucharski D., Cpalka K., Multi-population Algorithm Using Surrogate Models and Different Training Plans. (0)
Multi-population Algorithm Using Surrogate Models and Different Training Plans
, Multi-population Algorithm Using Surrogate Models and Different Training Plans, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14125 LNAI, 14125 LNAI, 385-398, 2023, Liczba cytowań: 0
Niksa-Rynkiewicz T., Stomma P., Witkowska A., Rutkowska D., Slowik A., Cpalka K., Jaworek-Korjakowska J., Kolendo P., AN INTELLIGENT APPROACH TO SHORT-TERM WIND POWER PREDICTION USING DEEP NEURAL NETWORKS. (2)
AN INTELLIGENT APPROACH TO SHORT-TERM WIND POWER PREDICTION USING DEEP NEURAL NETWORKS
, AN INTELLIGENT APPROACH TO SHORT-TERM WIND POWER PREDICTION USING DEEP NEURAL NETWORKS, Journal of Artificial Intelligence and Soft Computing Research, 13, 13, 197-210, 2023, Liczba cytowań: 2
Slowik A., Cpalka K., Hassanien A.E., Evolutionary Algorithms and Their Applications in Intelligent Systems. (0)
Evolutionary Algorithms and Their Applications in Intelligent Systems
, Evolutionary Algorithms and Their Applications in Intelligent Systems, Lecture Notes on Data Engineering and Communications Technologies, 184, 184, 143-153, 2023, Liczba cytowań: 0
Zalasinski M., Duda P., Lota S., Cpalka K., Dynamic Signature Verification Using Selected Regions. (1)
Dynamic Signature Verification Using Selected Regions
, Dynamic Signature Verification Using Selected Regions, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13589 LNAI, 13589 LNAI, 388-397, 2023, Liczba cytowań: 12022 (5)
Zalasinski M., Laskowski L., Niksa-Rynkiewicz T., Cpalka K., Byrski A., Przybyszewski K., Trippner P., Dong S., Evolutionary Algorithm for Selecting Dynamic Signatures Partitioning Approach. (5)
Evolutionary Algorithm for Selecting Dynamic Signatures Partitioning Approach
, Evolutionary Algorithm for Selecting Dynamic Signatures Partitioning Approach, Journal of Artificial Intelligence and Soft Computing Research, 12, 12, 267-279, 2022, Liczba cytowań: 5
Lapa K., Cpalka K., Kisiel-Dorohinicki M., Paszkowski J., Debski M., Le V.-H., Multi-Population-Based Algorithm with an Exchange of Training Plans Based on Population Evaluation. (4)
Multi-Population-Based Algorithm with an Exchange of Training Plans Based on Population Evaluation
, Multi-Population-Based Algorithm with an Exchange of Training Plans Based on Population Evaluation, Journal of Artificial Intelligence and Soft Computing Research, 12, 12, 239-253, 2022, Liczba cytowań: 4
Slowik A., Cpalka K., Hybrid approaches to nature-inspired population-based intelligent optimization for industrial applications. (17)
Hybrid approaches to nature-inspired population-based intelligent optimization for industrial applications
, Hybrid approaches to nature-inspired population-based intelligent optimization for industrial applications, IEEE Transactions on Industrial Informatics, 18, 18, 546-558, 2022, Liczba cytowań: 17
Cpalka K., Slowik A., Lapa K., A population-based algorithm with the selection of evaluation precision and size of the population. (3)
A population-based algorithm with the selection of evaluation precision and size of the population
, A population-based algorithm with the selection of evaluation precision and size of the population, Applied Soft Computing, 115, 115, 2022, Liczba cytowań: 3
Slowik A., Cpalka K., Guest Editorial: Hybrid Approaches to Nature-Inspired Population-Based Intelligent Optimization for Industrial Applications. (7)
Guest Editorial: Hybrid Approaches to Nature-Inspired Population-Based Intelligent Optimization for Industrial Applications
, Guest Editorial: Hybrid Approaches to Nature-Inspired Population-Based Intelligent Optimization for Industrial Applications, IEEE Transactions on Industrial Informatics, 18, 18, 542-545, 2022, Liczba cytowań: 72021 (5)
Kuzma D., Kowalczyk P., Cpalka K., Laskowski L., A low-dimensional layout of magnetic units as nano-systems of combinatorial logic: Numerical simulations. (1)
A low-dimensional layout of magnetic units as nano-systems of combinatorial logic: Numerical simulations
, A low-dimensional layout of magnetic units as nano-systems of combinatorial logic: Numerical simulations, Materials, 14, 14, 2021, Liczba cytowań: 1
Niksa-Rynkiewicz T., Szewczuk-Krypa N., Witkowska A., Cpalka K., Zalasinski M., Cader A., Monitoring regenerative heat exchanger in steam power plant by making use of the recurrent neural network. (12)
Monitoring regenerative heat exchanger in steam power plant by making use of the recurrent neural network
, Monitoring regenerative heat exchanger in steam power plant by making use of the recurrent neural network, Journal of Artificial Intelligence and Soft Computing Research, 11, 11, 143-155, 2021, Liczba cytowań: 12
Lapa K., Cpalka K., Slowik A., Population Management Approaches in the OPn Algorithm. (1)
Population Management Approaches in the OPn Algorithm
, Population Management Approaches in the OPn Algorithm, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12854 LNAI, 12854 LNAI, 402-414, 2021, Liczba cytowań: 1
Zalasinski M., Niksa-Rynkiewicz T., Cpalka K., Dynamic Signature Vertical Partitioning Using Selected Population-Based Algorithms. (0)
Dynamic Signature Vertical Partitioning Using Selected Population-Based Algorithms
, Dynamic Signature Vertical Partitioning Using Selected Population-Based Algorithms, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12855 LNAI, 12855 LNAI, 511-518, 2021, Liczba cytowań: 0
Fedorchuk A., Walcarius A., Laskowska M., Vila N., Kowalczyk P., Cpalka K., Laskowski L., Synthesis of vertically aligned porous silica thin films functionalized by silver ions. (4)
Synthesis of vertically aligned porous silica thin films functionalized by silver ions
, Synthesis of vertically aligned porous silica thin films functionalized by silver ions, International Journal of Molecular Sciences, 22, 22, 2021, Liczba cytowań: 42020 (11)
Slowik A., Cpalka K., Lapa K., Multipopulation Nature-Inspired Algorithm (MNIA) for the Designing of Interpretable Fuzzy Systems. (13)
Multipopulation Nature-Inspired Algorithm (MNIA) for the Designing of Interpretable Fuzzy Systems
, Multipopulation Nature-Inspired Algorithm (MNIA) for the Designing of Interpretable Fuzzy Systems, IEEE Transactions on Fuzzy Systems, 28, 28, 1125-1139, 2020, Liczba cytowań: 13
Zalasinski M., Cpalka K., Niksa-Rynkiewicz T., Hayashi Y., Signature Partitioning Using Selected Population-Based Algorithms. (0)
Signature Partitioning Using Selected Population-Based Algorithms
, Signature Partitioning Using Selected Population-Based Algorithms, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12415 LNAI, 12415 LNAI, 480-488, 2020, Liczba cytowań: 0
Lapa K., Cpalka K., Niksa-Rynkiewicz T., Wang L., A Population-Based Method with Selection of a Search Operator. (0)
A Population-Based Method with Selection of a Search Operator
, A Population-Based Method with Selection of a Search Operator, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12415 LNAI, 12415 LNAI, 429-444, 2020, Liczba cytowań: 0
Zalasinski M., Lapa K., Cpalka K., Przybyszewski K., Yen G.G., On-Line Signature Partitioning Using a Population Based Algorithm. (10)
On-Line Signature Partitioning Using a Population Based Algorithm
, On-Line Signature Partitioning Using a Population Based Algorithm, Journal of Artificial Intelligence and Soft Computing Research, 10, 10, 5-13, 2020, Liczba cytowań: 10
Zalasinski M., Cpalka K., Niksa-Rynkiewicz T., The Dynamic Signature Verification Using population-Based Vertical Partitioning. (1)
The Dynamic Signature Verification Using population-Based Vertical Partitioning
, The Dynamic Signature Verification Using population-Based Vertical Partitioning, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12532 LNCS, 12532 LNCS, 569-579, 2020, Liczba cytowań: 1
Lapa K., Cpalka K., Laskowski L., Cader A., Zeng Z., Evolutionary Algorithm with a Configurable Search Mechanism. (11)
Evolutionary Algorithm with a Configurable Search Mechanism
, Evolutionary Algorithm with a Configurable Search Mechanism, Journal of Artificial Intelligence and Soft Computing Research, 10, 10, 151-171, 2020, Liczba cytowań: 11
Zalasinski M., Cpalka K., Lapa K., An interpretable fuzzy system in the on-line signature scalable verification. (2)
An interpretable fuzzy system in the on-line signature scalable verification
, An interpretable fuzzy system in the on-line signature scalable verification, IEEE International Conference on Fuzzy Systems, 2020-July, 2020-July, 2020, Liczba cytowań: 2
Zalasinski M., Cpalka K., Laskowski L., Wunsch D.C., Przybyszewski K., An Algorithm for the Evolutionary-Fuzzy Generation of on-Line Signature Hybrid Descriptors. (5)
An Algorithm for the Evolutionary-Fuzzy Generation of on-Line Signature Hybrid Descriptors
, An Algorithm for the Evolutionary-Fuzzy Generation of on-Line Signature Hybrid Descriptors, Journal of Artificial Intelligence and Soft Computing Research, 10, 10, 173-187, 2020, Liczba cytowań: 5
Slowik A., Cpalka K., Jin Y., Introduction to the Special Issue on Nature-Inspired Optimization Methods in Fuzzy Systems. (1)
Introduction to the Special Issue on Nature-Inspired Optimization Methods in Fuzzy Systems
, Introduction to the Special Issue on Nature-Inspired Optimization Methods in Fuzzy Systems, IEEE Transactions on Fuzzy Systems, 28, 28, 1019-1022, 2020, Liczba cytowań: 1
Laskowska M., Kityk I., Pastukh O., Dulski M., Zubko M., Jedryka J., Cpalka K., Zielinski P.M., Laskowski, Nanocomposite for photonics — Nickel pyrophosphate nanocrystals synthesised in silica nanoreactors. (17)
Nanocomposite for photonics — Nickel pyrophosphate nanocrystals synthesised in silica nanoreactors
, Nanocomposite for photonics — Nickel pyrophosphate nanocrystals synthesised in silica nanoreactors, Microporous and Mesoporous Materials, 306, 306, 2020, Liczba cytowań: 17
Laskowski L., Majtyka-Pilat A., Cpalka K., Zubko M., Laskowska M., Synthesis in silica nanoreactor: Copper pyrophosphate quantum dots and silver oxide nanocrystallites inside silica mezochannels. (5)
Synthesis in silica nanoreactor: Copper pyrophosphate quantum dots and silver oxide nanocrystallites inside silica mezochannels
, Synthesis in silica nanoreactor: Copper pyrophosphate quantum dots and silver oxide nanocrystallites inside silica mezochannels, Materials, 13, 13, 2020, Liczba cytowań: 52019 (3)
Zalasinski M., Lapa K., Cpalka K., Marchlewska A., The Method of Predicting Changes of a Dynamic Signature Using Possibilities of Population-Based Algorithms. (2)
The Method of Predicting Changes of a Dynamic Signature Using Possibilities of Population-Based Algorithms
, The Method of Predicting Changes of a Dynamic Signature Using Possibilities of Population-Based Algorithms, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11508 LNAI, 11508 LNAI, 540-549, 2019, Liczba cytowań: 2
Lapa K., Cpalka K., Zalasinski M., Algorithm Based on Population with a Flexible Search Mechanism. (5)
Algorithm Based on Population with a Flexible Search Mechanism
, Algorithm Based on Population with a Flexible Search Mechanism, IEEE Access, 7, 7, 132253-132270, 2019, Liczba cytowań: 5
Lapa K., Cpalka K., Paszkowski J., Hybrid Multi-population Based Approach for Controllers Structure and Parameters Selection. (3)
Hybrid Multi-population Based Approach for Controllers Structure and Parameters Selection
, Hybrid Multi-population Based Approach for Controllers Structure and Parameters Selection, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11508 LNAI, 11508 LNAI, 456-468, 2019, Liczba cytowań: 32018 (11)
Lapa K., Cpalka K., Przybyl A., Genetic programming algorithm for designing of control systems. (16)
Genetic programming algorithm for designing of control systems
, Genetic programming algorithm for designing of control systems, Information Technology and Control, 47, 47, 668-683, 2018, Liczba cytowań: 16
Zalasinski M., Cpalka K., Grzanek K., Stability of features describing the dynamic signature biometric attribute. (0)
Stability of features describing the dynamic signature biometric attribute
, Stability of features describing the dynamic signature biometric attribute, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10842 LNAI, 10842 LNAI, 250-261, 2018, Liczba cytowań: 0
Lapa K., Cpalka K., PID-fuzzy controllers with dynamic structure and evolutionary method for their construction. (1)
PID-fuzzy controllers with dynamic structure and evolutionary method for their construction
, PID-fuzzy controllers with dynamic structure and evolutionary method for their construction, Advances in Intelligent Systems and Computing, 655, 655, 138-148, 2018, Liczba cytowań: 1
Zalasinski M., Lapa K., Cpalka K., Prediction of values of the dynamic signature features. (17)
Prediction of values of the dynamic signature features
, Prediction of values of the dynamic signature features, Expert Systems with Applications, 104, 104, 86-96, 2018, Liczba cytowań: 17
Lapa K., Cpalka K., Rutkowski L., New aspects of interpretability of fuzzy systems for nonlinear modeling. (14)
New aspects of interpretability of fuzzy systems for nonlinear modeling
, New aspects of interpretability of fuzzy systems for nonlinear modeling, Studies in Computational Intelligence, 738, 738, 225-264, 2018, Liczba cytowań: 14
Lapa K., Cpalka K., Flexible Fuzzy PID Controller (FFPIDC) and a Nature-Inspired Method for Its Construction. (27)
Flexible Fuzzy PID Controller (FFPIDC) and a Nature-Inspired Method for Its Construction
, Flexible Fuzzy PID Controller (FFPIDC) and a Nature-Inspired Method for Its Construction, IEEE Transactions on Industrial Informatics, 14, 14, 1078-1088, 2018, Liczba cytowań: 27
Zalasinski M., Cpalka K., A new method for signature verification based on selection of the most important partitions of the dynamic signature. (11)
A new method for signature verification based on selection of the most important partitions of the dynamic signature
, A new method for signature verification based on selection of the most important partitions of the dynamic signature, Neurocomputing, 289, 289, 13-22, 2018, Liczba cytowań: 11
Zalasinski M., Cpalka K., Rutkowski L., Fuzzy-genetic approach to identity verification using a handwritten signature. (6)
Fuzzy-genetic approach to identity verification using a handwritten signature
, Fuzzy-genetic approach to identity verification using a handwritten signature, Studies in Computational Intelligence, 738, 738, 375-394, 2018, Liczba cytowań: 6
Lapa K., Cpalka K., Przybyl A., Grzanek K., Negative space-based population initialization algorithm (NSPIA). (8)
Negative space-based population initialization algorithm (NSPIA)
, Negative space-based population initialization algorithm (NSPIA), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10841 LNAI, 10841 LNAI, 449-461, 2018, Liczba cytowań: 8
Zalasinski M., Cpalka K., A method for genetic selection of the dynamic signature global features’ subset. (3)
A method for genetic selection of the dynamic signature global features’ subset
, A method for genetic selection of the dynamic signature global features’ subset, Advances in Intelligent Systems and Computing, 655, 655, 73-82, 2018, Liczba cytowań: 3
Lapa K., Cpalka K., Evolutionary approach for automatic design of PID controllers. (1)
Evolutionary approach for automatic design of PID controllers
, Evolutionary approach for automatic design of PID controllers, Studies in Computational Intelligence, 738, 738, 353-373, 2018, Liczba cytowań: 12017 (16)
Zalasinski M., Lapa K., Cpalka K., Saito T., A method for changes prediction of the dynamic signature global features over time. (3)
A method for changes prediction of the dynamic signature global features over time
, A method for changes prediction of the dynamic signature global features over time, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10245 LNAI, 10245 LNAI, 761-772, 2017, Liczba cytowań: 3
Zalasinski M., Cpalka K., Hayashi Y., A method for genetic selection of the most characteristic descriptors of the dynamic signature. (4)
A method for genetic selection of the most characteristic descriptors of the dynamic signature
, A method for genetic selection of the most characteristic descriptors of the dynamic signature, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10245 LNAI, 10245 LNAI, 747-760, 2017, Liczba cytowań: 4
Cpalka K., Introduction. (0)
Introduction
, Introduction, Studies in Computational Intelligence, 684, 684, 1-10, 2017, Liczba cytowań: 0
Lapa K., Cpalka K., Weighted fuzzy genetic programming algorithm for structure and parameters selection of fuzzy systems for nonlinear modelling. (0)
Weighted fuzzy genetic programming algorithm for structure and parameters selection of fuzzy systems for nonlinear modelling
, Weighted fuzzy genetic programming algorithm for structure and parameters selection of fuzzy systems for nonlinear modelling, Advances in Intelligent Systems and Computing, 521, 521, 157-174, 2017, Liczba cytowań: 0
Zalasinski M., Cpalka K., Er M.J., Stability evaluation of the dynamic signature partitions over time. (4)
Stability evaluation of the dynamic signature partitions over time
, Stability evaluation of the dynamic signature partitions over time, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10245 LNAI, 10245 LNAI, 733-746, 2017, Liczba cytowań: 4
Cpalka K., Selected topics in fuzzy systems designing. (0)
Selected topics in fuzzy systems designing
, Selected topics in fuzzy systems designing, Studies in Computational Intelligence, 684, 684, 11-25, 2017, Liczba cytowań: 0
Lapa K., Cpalka K., Wang L., A method for nonlinear fuzzy modelling using population based algorithm with flexibly selectable operators. (3)
A method for nonlinear fuzzy modelling using population based algorithm with flexibly selectable operators
, A method for nonlinear fuzzy modelling using population based algorithm with flexibly selectable operators, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10245 LNAI, 10245 LNAI, 263-278, 2017, Liczba cytowań: 3
Cpalka K., Concluding remarks and future perspectives. (0)
Concluding remarks and future perspectives
, Concluding remarks and future perspectives, Studies in Computational Intelligence, 684, 684, 191-193, 2017, Liczba cytowań: 0
Cpalka K., Interpretability of fuzzy systems designed in the process of gradient learning. (0)
Interpretability of fuzzy systems designed in the process of gradient learning
, Interpretability of fuzzy systems designed in the process of gradient learning, Studies in Computational Intelligence, 684, 684, 61-90, 2017, Liczba cytowań: 0
Cpalka K., Interpretability of fuzzy systems designed in the process of evolutionary learning. (7)
Interpretability of fuzzy systems designed in the process of evolutionary learning
, Interpretability of fuzzy systems designed in the process of evolutionary learning, Studies in Computational Intelligence, 684, 684, 91-130, 2017, Liczba cytowań: 7
Cpalka K., Improving fuzzy systems interpretability by appropriate selection of their structure. (1)
Improving fuzzy systems interpretability by appropriate selection of their structure
, Improving fuzzy systems interpretability by appropriate selection of their structure, Studies in Computational Intelligence, 684, 684, 37-60, 2017, Liczba cytowań: 1
Cpalka K., Case study: Interpretability of fuzzy systems applied to nonlinear modelling and control. (2)
Case study: Interpretability of fuzzy systems applied to nonlinear modelling and control
, Case study: Interpretability of fuzzy systems applied to nonlinear modelling and control, Studies in Computational Intelligence, 684, 684, 131-162, 2017, Liczba cytowań: 2
Cpalka K., Case study: Interpretability of fuzzy systems applied to identity verification. (0)
Case study: Interpretability of fuzzy systems applied to identity verification
, Case study: Interpretability of fuzzy systems applied to identity verification, Studies in Computational Intelligence, 684, 684, 163-189, 2017, Liczba cytowań: 0
Lapa K., Cpalka K., Przybyl A., Saito T., Fuzzy PID controllers with FIR filtering and a method for their construction. (4)
Fuzzy PID controllers with FIR filtering and a method for their construction
, Fuzzy PID controllers with FIR filtering and a method for their construction, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10246 LNAI, 10246 LNAI, 292-307, 2017, Liczba cytowań: 4
Cpalka K., Introduction to fuzzy system interpretability. (1)
Introduction to fuzzy system interpretability
, Introduction to fuzzy system interpretability, Studies in Computational Intelligence, 684, 684, 27-36, 2017, Liczba cytowań: 1
Lapa K., Cpalka K., Hayashi Y., Hybrid initialization in the process of evolutionary learning. (4)
Hybrid initialization in the process of evolutionary learning
, Hybrid initialization in the process of evolutionary learning, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10245 LNAI, 10245 LNAI, 380-393, 2017, Liczba cytowań: 42016 (10)
Lapa K., Cpalka K., On the application of a hybrid genetic-firework algorithm for controllers structure and parameters selection. (16)
On the application of a hybrid genetic-firework algorithm for controllers structure and parameters selection
, On the application of a hybrid genetic-firework algorithm for controllers structure and parameters selection, Advances in Intelligent Systems and Computing, 429, 429, 111-123, 2016, Liczba cytowań: 16
Zalasinski M., Cpalka K., Rakus-Andersson E., An idea of the dynamic signature verification based on a hybrid approach. (28)
An idea of the dynamic signature verification based on a hybrid approach
, An idea of the dynamic signature verification based on a hybrid approach, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9693, 9693, 232-246, 2016, Liczba cytowań: 28
Zalasinski M., Cpalka K., New algorithm for on-line signature verification using characteristic hybrid partitions. (27)
New algorithm for on-line signature verification using characteristic hybrid partitions
, New algorithm for on-line signature verification using characteristic hybrid partitions, Advances in Intelligent Systems and Computing, 432, 432, 147-157, 2016, Liczba cytowań: 27
Cpalka K., Zalasinski M., Rutkowski L., A new algorithm for identity verification based on the analysis of a handwritten dynamic signature. (89)
A new algorithm for identity verification based on the analysis of a handwritten dynamic signature
, A new algorithm for identity verification based on the analysis of a handwritten dynamic signature, Applied Soft Computing Journal, 43, 43, 47-56, 2016, Liczba cytowań: 89
Lapa K., Cpalka K., Koprinkova-Hristova P., New method for fuzzy nonlinear modelling based on genetic programming. (5)
New method for fuzzy nonlinear modelling based on genetic programming
, New method for fuzzy nonlinear modelling based on genetic programming, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9692, 9692, 432-449, 2016, Liczba cytowań: 5
Lapa K., Cpalka K., Hayashi Y., New approach for nonlinear modelling based on online designing of the fuzzy rule base. (1)
New approach for nonlinear modelling based on online designing of the fuzzy rule base
, New approach for nonlinear modelling based on online designing of the fuzzy rule base, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9692, 9692, 230-247, 2016, Liczba cytowań: 1
Lapa K., Cpalka K., Nonlinear pattern classification using fuzzy system and hybrid genetic-imperialist algorithm. (4)
Nonlinear pattern classification using fuzzy system and hybrid genetic-imperialist algorithm
, Nonlinear pattern classification using fuzzy system and hybrid genetic-imperialist algorithm, Advances in Intelligent Systems and Computing, 432, 432, 159-171, 2016, Liczba cytowań: 4
Lapa K., Cpalka K., Wang L., New approach for interpretability of neuro-fuzzy systems with parametrized triangular norms. (3)
New approach for interpretability of neuro-fuzzy systems with parametrized triangular norms
, New approach for interpretability of neuro-fuzzy systems with parametrized triangular norms, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9692, 9692, 248-265, 2016, Liczba cytowań: 3
Zalasinski M., Cpalka K., Hayashi Y., A new approach to the dynamic signature verification aimed at minimizing the number of global features. (18)
A new approach to the dynamic signature verification aimed at minimizing the number of global features
, A new approach to the dynamic signature verification aimed at minimizing the number of global features, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9693, 9693, 218-231, 2016, Liczba cytowań: 18
Bartczuk L., Przybyl A., Cpalka K., A new approach to nonlinear modelling of dynamic systems based on fuzzy rules. (36)
A new approach to nonlinear modelling of dynamic systems based on fuzzy rules
, A new approach to nonlinear modelling of dynamic systems based on fuzzy rules, International Journal of Applied Mathematics and Computer Science, 26, 26, 603-621, 2016, Liczba cytowań: 362015 (4)
Zalasinski M., Cpalka K., Hayashi Y., New fast algorithm for the dynamic signature verification using global features values. (33)
New fast algorithm for the dynamic signature verification using global features values
, New fast algorithm for the dynamic signature verification using global features values, Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 9120, 9120, 175-188, 2015, Liczba cytowań: 33
Zalasinski M., Cpalka K., Er M.J., A new method for the dynamic signature verification based on the stable partitions of the signature. (16)
A new method for the dynamic signature verification based on the stable partitions of the signature
, A new method for the dynamic signature verification based on the stable partitions of the signature, Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 9120, 9120, 161-174, 2015, Liczba cytowań: 16
Lapa K., Cpalka K., Galushkin A.I., A new interpretability criteria for neuro-fuzzy systems for nonlinear classification. (11)
A new interpretability criteria for neuro-fuzzy systems for nonlinear classification
, A new interpretability criteria for neuro-fuzzy systems for nonlinear classification, Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 9119, 9119, 448-468, 2015, Liczba cytowań: 11
Cpalka K., Lapa K., Przybyl A., A new approach to design of control systems using genetic programming. (40)
A new approach to design of control systems using genetic programming
, A new approach to design of control systems using genetic programming, Information Technology and Control, 44, 44, 433-442, 2015, Liczba cytowań: 402014 (7)
Nowicki R.K., Nowak B.A., Starczewski J.T., Cpalka K., The learning of neuro-fuzzy approximator with fuzzy rough sets in case of missing features. (10)
The learning of neuro-fuzzy approximator with fuzzy rough sets in case of missing features
, The learning of neuro-fuzzy approximator with fuzzy rough sets in case of missing features, Proceedings of the International Joint Conference on Neural Networks, 3759-3766, 2014, Liczba cytowań: 10
Cpalka K., Zalasinski M., Rutkowski L., New method for the on-line signature verification based on horizontal partitioning. (81)
New method for the on-line signature verification based on horizontal partitioning
, New method for the on-line signature verification based on horizontal partitioning, Pattern Recognition, 47, 47, 2652-2661, 2014, Liczba cytowań: 81
Cpalka K., Lapa K., Przybyl A., Zalasinski M., A new method for designing neuro-fuzzy systems for nonlinear modelling with interpretability aspects. (81)
A new method for designing neuro-fuzzy systems for nonlinear modelling with interpretability aspects
, A new method for designing neuro-fuzzy systems for nonlinear modelling with interpretability aspects, Neurocomputing, 135, 135, 203-217, 2014, Liczba cytowań: 81
Cpalka K., Zalasinski M., On-line signature verification using vertical signature partitioning. (86)
On-line signature verification using vertical signature partitioning
, On-line signature verification using vertical signature partitioning, Expert Systems with Applications, 41, 41, 4170-4180, 2014, Liczba cytowań: 86
Zalasinski M., Cpalka K., Hayashi Y., New method for dynamic signature verification based on global features. (35)
New method for dynamic signature verification based on global features
, New method for dynamic signature verification based on global features, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8468 LNAI, 8468 LNAI, 231-245, 2014, Liczba cytowań: 35
Zalasinski M., Cpalka K., Er M.J., New method for dynamic signature verification using hybrid partitioning. (33)
New method for dynamic signature verification using hybrid partitioning
, New method for dynamic signature verification using hybrid partitioning, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8468 LNAI, 8468 LNAI, 216-230, 2014, Liczba cytowań: 33
Lapa K., Cpalka K., Wang L., New method for design of fuzzy systems for nonlinear modelling using different criteria of interpretability. (39)
New method for design of fuzzy systems for nonlinear modelling using different criteria of interpretability
, New method for design of fuzzy systems for nonlinear modelling using different criteria of interpretability, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8467 LNAI, 8467 LNAI, 217-232, 2014, Liczba cytowań: 392013 (7)
Zalasinski M., Lapa K., Cpalka K., New algorithm for evolutionary selection of the dynamic signature global features. (37)
New algorithm for evolutionary selection of the dynamic signature global features
, New algorithm for evolutionary selection of the dynamic signature global features, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7895 LNAI, 7895 LNAI, 113-121, 2013, Liczba cytowań: 37
Lapa K., Zalasinski M., Cpalka K., A new method for designing and complexity reduction of neuro-fuzzy systems for nonlinear modelling. (37)
A new method for designing and complexity reduction of neuro-fuzzy systems for nonlinear modelling
, A new method for designing and complexity reduction of neuro-fuzzy systems for nonlinear modelling, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7894 LNAI, 7894 LNAI, 329-344, 2013, Liczba cytowań: 37
Zalasinski M., Cpalka K., New approach for the on-line signature verification based on method of horizontal partitioning. (38)
New approach for the on-line signature verification based on method of horizontal partitioning
, New approach for the on-line signature verification based on method of horizontal partitioning, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7895 LNAI, 7895 LNAI, 342-350, 2013, Liczba cytowań: 38
Lapa K., Przybyl A., Cpalka K., A new approach to designing interpretable models of dynamic systems. (45)
A new approach to designing interpretable models of dynamic systems
, A new approach to designing interpretable models of dynamic systems, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7895 LNAI, 7895 LNAI, 523-534, 2013, Liczba cytowań: 45
Zalasinski M., Cpalka K., Novel algorithm for the on-line signature verification using selected discretization points groups. (39)
Novel algorithm for the on-line signature verification using selected discretization points groups
, Novel algorithm for the on-line signature verification using selected discretization points groups, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7894 LNAI, 7894 LNAI, 493-502, 2013, Liczba cytowań: 39
Cpalka K., Rebrova O., Nowicki R., Rutkowski L., On design of flexible neuro-fuzzy systems for nonlinear modelling. (66)
On design of flexible neuro-fuzzy systems for nonlinear modelling
, On design of flexible neuro-fuzzy systems for nonlinear modelling, International Journal of General Systems, 42, 42, 706-720, 2013, Liczba cytowań: 66
Szczypta J., Przybyl A., Cpalka K., Some aspects of evolutionary designing optimal controllers. (36)
Some aspects of evolutionary designing optimal controllers
, Some aspects of evolutionary designing optimal controllers, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7895 LNAI, 7895 LNAI, 91-100, 2013, Liczba cytowań: 362012 (4)
Rutkowski L., Przybyl A., Cpalka K., Novel online speed profile generation for industrial machine tool based on flexible neuro-fuzzy approximation. (90)
Novel online speed profile generation for industrial machine tool based on flexible neuro-fuzzy approximation
, Novel online speed profile generation for industrial machine tool based on flexible neuro-fuzzy approximation, IEEE Transactions on Industrial Electronics, 59, 59, 1238-1247, 2012, Liczba cytowań: 90
Zalasinski M., Cpalka K., Novel algorithm for the on-line signature verification. (45)
Novel algorithm for the on-line signature verification
, Novel algorithm for the on-line signature verification, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7268 LNAI, 7268 LNAI, 362-367, 2012, Liczba cytowań: 45
Przybyl A., Cpalka K., A new method to construct of interpretable models of dynamic systems. (43)
A new method to construct of interpretable models of dynamic systems
, A new method to construct of interpretable models of dynamic systems, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7268 LNAI, 7268 LNAI, 697-705, 2012, Liczba cytowań: 43
Rutkowski L., Cpalka K., Nowicki R., Pokropinska A., Scherer R., Neuro-fuzzy systems. (4)
Neuro-fuzzy systems
, Neuro-fuzzy systems, Computational Complexity: Theory, Techniques, and Applications, 9781461418009, 9781461418009, 2069-2081, 2012, Liczba cytowań: 42011 (1)
Cpalka K., Rebrova O., Nowicki R., Rutkowski L., On designing of flexible neuro-fuzzy systems for nonlinear modelling. (2)
On designing of flexible neuro-fuzzy systems for nonlinear modelling
, On designing of flexible neuro-fuzzy systems for nonlinear modelling, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6743 LNAI, 6743 LNAI, 147-154, 2011, Liczba cytowań: 22010 (2)
Rutkowski L., Przybyl A., Cpalka K., Er M.J., Online speed profile generation for industrial machine tool based on neuro-fuzzy approach. (53)
Online speed profile generation for industrial machine tool based on neuro-fuzzy approach
, Online speed profile generation for industrial machine tool based on neuro-fuzzy approach, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6114 LNAI, 6114 LNAI, 645-650, 2010, Liczba cytowań: 53
Cpalka K., Rutkowski L., Er M.J., On automatic design of neuro-fuzzy systems. (0)
On automatic design of neuro-fuzzy systems
, On automatic design of neuro-fuzzy systems, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6113 LNAI, 6113 LNAI, 43-48, 2010, Liczba cytowań: 02009 (3)
Cpalka K., A new method for design and reduction of neuro-fuzzy classification systems. (60)
A new method for design and reduction of neuro-fuzzy classification systems
, A new method for design and reduction of neuro-fuzzy classification systems, IEEE Transactions on Neural Networks, 20, 20, 701-714, 2009, Liczba cytowań: 60
Cpalka K., On evolutionary designing and learning of flexible neuro-fuzzy structures for nonlinear classification. (67)
On evolutionary designing and learning of flexible neuro-fuzzy structures for nonlinear classification
, On evolutionary designing and learning of flexible neuro-fuzzy structures for nonlinear classification, Nonlinear Analysis, Theory, Methods and Applications, 71, 71, 2009, Liczba cytowań: 67
Cpalka K., Rebrova O., Rutkowski L., A new method for complexity reduction of neuro-fuzzy systems with application to differential stroke diagnosis. (2)
A new method for complexity reduction of neuro-fuzzy systems with application to differential stroke diagnosis
, A new method for complexity reduction of neuro-fuzzy systems with application to differential stroke diagnosis, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 5769 LNCS, 5769 LNCS, 435-444, 2009, Liczba cytowań: 22008 (3)
Cpalka K., Rutkowski L., An application of weighted triangular norms to complexity reduction of neuro-fuzzy systems. (1)
An application of weighted triangular norms to complexity reduction of neuro-fuzzy systems
, An application of weighted triangular norms to complexity reduction of neuro-fuzzy systems, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 5097 LNAI, 5097 LNAI, 207-216, 2008, Liczba cytowań: 1
Cpalka K., Rebrova O., Galkowski T., Rutkowski L., On differential stroke diagnosis by neuro-fuzzy structures. (1)
On differential stroke diagnosis by neuro-fuzzy structures
, On differential stroke diagnosis by neuro-fuzzy structures, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 5097 LNAI, 5097 LNAI, 974-980, 2008, Liczba cytowań: 1
Cpalka K., Rutkowski L., Evolutionary learning of flexible neuro-fuzzy systems. (10)
Evolutionary learning of flexible neuro-fuzzy systems
, Evolutionary learning of flexible neuro-fuzzy systems, IEEE International Conference on Fuzzy Systems, 969-975, 2008, Liczba cytowań: 102007 (1)
Cpalka K., Nowicki R., Rutkowski L., Rough-neuro-fuzzy systems for classification. (3)
Rough-neuro-fuzzy systems for classification
, Rough-neuro-fuzzy systems for classification, Proceedings of the 2007 IEEE Symposium on Foundations of Computational Intelligence, FOCI 2007, 1-8, 2007, Liczba cytowań: 32006 (3)
Cpalka K., A method for designing flexible neuro-fuzzy systems. (40)
A method for designing flexible neuro-fuzzy systems
, A method for designing flexible neuro-fuzzy systems, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 4029 LNAI, 4029 LNAI, 212-219, 2006, Liczba cytowań: 40
Cpalka K., Rutkowski L., A new method for designing and reduction of neuro-fuzzy systems. (16)
A new method for designing and reduction of neuro-fuzzy systems
, A new method for designing and reduction of neuro-fuzzy systems, IEEE International Conference on Fuzzy Systems, 1851-1857, 2006, Liczba cytowań: 16
Cpalka K., Rutkowski L., A new method for complexity reduction of neuro-fuzzy systems. (1)
A new method for complexity reduction of neuro-fuzzy systems
, A new method for complexity reduction of neuro-fuzzy systems, WSEAS Transactions on Systems, 5, 5, 2514-2521, 2006, Liczba cytowań: 12005 (4)
Cpalka K., Rutkowski L., Flexible neuro-fuzzy structures for pattern classification. (7)
Flexible neuro-fuzzy structures for pattern classification
, Flexible neuro-fuzzy structures for pattern classification, WSEAS Transactions on Computers, 4, 4, 679-688, 2005, Liczba cytowań: 7
Cpalka K., Rutkowski L., Flexible Takagi-Sugeno neuro-fuzzy structures for nonlinear approximation. (42)
Flexible Takagi-Sugeno neuro-fuzzy structures for nonlinear approximation
, Flexible Takagi-Sugeno neuro-fuzzy structures for nonlinear approximation, WSEAS Transactions on Systems, 4, 4, 1450-1458, 2005, Liczba cytowań: 42
Cpalka K., Rutkowski L., Flexible Takagi-Sugeno fuzzy systems. (56)
Flexible Takagi-Sugeno fuzzy systems
, Flexible Takagi-Sugeno fuzzy systems, Proceedings of the International Joint Conference on Neural Networks, 3, 3, 1764-1769, 2005, Liczba cytowań: 56
Rutkowski L., Cpalka K., Designing and learning of adjustable quasi-triangular norms with applications to neuro-fuzzy systems. (67)
Designing and learning of adjustable quasi-triangular norms with applications to neuro-fuzzy systems
, Designing and learning of adjustable quasi-triangular norms with applications to neuro-fuzzy systems, IEEE Transactions on Fuzzy Systems, 13, 13, 140-151, 2005, Liczba cytowań: 672004 (3)
Cpalka K., Rutkowski L., Fuzzy modelling with a compromise fuzzy reasoning. (0)
Fuzzy modelling with a compromise fuzzy reasoning
, Fuzzy modelling with a compromise fuzzy reasoning, Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 3070, 3070, 284-289, 2004, Liczba cytowań: 0
Rutkowski L., Cpalka K., Neuro-fuzzy systems derived from quasi-triangular norms. (39)
Neuro-fuzzy systems derived from quasi-triangular norms
, Neuro-fuzzy systems derived from quasi-triangular norms, IEEE International Conference on Fuzzy Systems, 2, 2, 1031-1036, 2004, Liczba cytowań: 39
Cpalka K., A flexible connectionist fuzzy system. (2)
A flexible connectionist fuzzy system
, A flexible connectionist fuzzy system, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3019, 3019, 618-625, 2004, Liczba cytowań: 22003 (3)
Rutkowski L., Cpalka K., Erratum: Flexible neuro-fuzzy systems (IEEE Transactions on Neural Networks (May 2003) 14 (554-574)). (0)
Erratum: Flexible neuro-fuzzy systems (IEEE Transactions on Neural Networks (May 2003) 14 (554-574))
, Erratum: Flexible neuro-fuzzy systems (IEEE Transactions on Neural Networks (May 2003) 14 (554-574)), IEEE Transactions on Neural Networks, 14, 14, 967, 2003, Liczba cytowań: 0
Rutkowski L., Cpalka K., Flexible neuro-fuzzy systems. (181)
Flexible neuro-fuzzy systems
, Flexible neuro-fuzzy systems, IEEE Transactions on Neural Networks, 14, 14, 554-574, 2003, Liczba cytowań: 181
Rutkowski L., Cpalka K., A new approach to designing fuzzy systems. (0)
A new approach to designing fuzzy systems
, A new approach to designing fuzzy systems, Recent Advances in Intelligent Systems and Signal Processing, 343-347, 2003, Liczba cytowań: 02002 (2)
Rutkowski L., Cpalka K., A neuro - Fuzzy controller with a compromise fuzzy reasoning. (56)
A neuro - Fuzzy controller with a compromise fuzzy reasoning
, A neuro - Fuzzy controller with a compromise fuzzy reasoning, Control and Cybernetics, 31, 31, 297-308, 2002, Liczba cytowań: 56
Rutkowski L., Cpalka K., Flexible weighted neuro-fuzzy systems. (36)
Flexible weighted neuro-fuzzy systems
, Flexible weighted neuro-fuzzy systems, ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age, 4, 4, 1857-1861, 2002, Liczba cytowań: 362001 (1)
Rutkowski L., Cpalka K., A general approach to neuro-fuzzy systems. (47)
