Badania
Zainteresowania naukowe pracowników Katedry Inteligentnych Systemów Informatycznych obejmują szeroko pojęte metody inteligencji obliczeniowej oraz ich zastosowanie.
Publikacje (244)
2023 (15)
Bilski J., Smolag J., Kowalczyk B., Grzanek K., Izonin I., Fast Computational Approach to the Levenberg-Marquardt Algorithm for Training Feedforward Neural Networks. (12)
Fast Computational Approach to the Levenberg-Marquardt Algorithm for Training Feedforward Neural Networks
, Fast Computational Approach to the Levenberg-Marquardt Algorithm for Training Feedforward Neural Networks, Journal of Artificial Intelligence and Soft Computing Research, 13, 13, 45-61, 2023, Liczba cytowań: 12
Lapa K., Multi-population-based Algorithms with Different Migration Topologies and Their Improvement by Population Re-initialization. (1)
Multi-population-based Algorithms with Different Migration Topologies and Their Improvement by Population Re-initialization
, Multi-population-based Algorithms with Different Migration Topologies and Their Improvement by Population Re-initialization, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14125 LNAI, 14125 LNAI, 399-414, 2023, Liczba cytowań: 1
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: 1
Najgebauer P., Scherer R., Grycuk R., Walczak J., Wojciechowski A., Lada-Tondyra E., Fast Visual Imperfection Detection when Real Negative Examples are Unavailable. (0)
Fast Visual Imperfection Detection when Real Negative Examples are Unavailable
, Fast Visual Imperfection Detection when Real Negative Examples are Unavailable, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14126 LNAI, 14126 LNAI, 58-68, 2023, Liczba cytowań: 0
Grycuk R., Korytkowski M., Scherer R., Fuzzy-Based Solar Magnetogram Image Retrieval. (0)
Fuzzy-Based Solar Magnetogram Image Retrieval
, Fuzzy-Based Solar Magnetogram Image Retrieval, IEEE International Conference on Fuzzy Systems, 2023, Liczba cytowań: 0
Mastalerczyk M., Szczepanik T., Zalasinski M., A New Method of Verification of Dynamic Signatures Changing over Time with Decomposition and Selection of Characteristic Descriptors. (0)
A New Method of Verification of Dynamic Signatures Changing over Time with Decomposition and Selection of Characteristic Descriptors
, A New Method of Verification of Dynamic Signatures Changing over Time with Decomposition and Selection of Characteristic Descriptors, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14126 LNAI, 14126 LNAI, 251-257, 2023, Liczba cytowań: 0
Bilski J., Kowalczyk B., Smolag J., On Speeding up the Levenberg-Marquardt Learning Algorithm. (0)
On Speeding up the Levenberg-Marquardt Learning Algorithm
, On Speeding up the Levenberg-Marquardt Learning Algorithm, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14125 LNAI, 14125 LNAI, 12-22, 2023, Liczba cytowań: 0
Grycuk R., Najgebauer P., Scherer R., Edge Detection-Based Full-Disc Solar Image Hashing. (0)
Edge Detection-Based Full-Disc Solar Image Hashing
, Edge Detection-Based Full-Disc Solar Image Hashing, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13589 LNAI, 13589 LNAI, 243-251, 2023, Liczba cytowań: 0
Sosnowski J., Pluta P., Najgebauer P., Hand Gesture Recognition for Medical Purposes Using CNN. (0)
Hand Gesture Recognition for Medical Purposes Using CNN
, Hand Gesture Recognition for Medical Purposes Using CNN, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13589 LNAI, 13589 LNAI, 80-88, 2023, Liczba cytowań: 0
Walczak J., Najgebauer P., Wojciechowski A., Scherer R., Ultrasmall fully-convolution GVA-net for point cloud processing[Formula presented]. (0)
Ultrasmall fully-convolution GVA-net for point cloud processing[Formula presented]
, Ultrasmall fully-convolution GVA-net for point cloud processing[Formula presented], Applied Soft Computing, 132, 132, 2023, Liczba cytowań: 0
Dziwinski P., Bartczuk L., A New Hybrid Particle Swarm Optimization and Evolutionary Algorithm with Self-Adaptation Mechanism. (0)
A New Hybrid Particle Swarm Optimization and Evolutionary Algorithm with Self-Adaptation Mechanism
, A New Hybrid Particle Swarm Optimization and Evolutionary Algorithm with Self-Adaptation Mechanism, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14125 LNAI, 14125 LNAI, 363-374, 2023, Liczba cytowań: 0
Bilski J., Kowalczyk B., Smolag J., A New Computational Approach to the Levenberg-Marquardt Learning Algorithm. (0)
A New Computational Approach to the Levenberg-Marquardt Learning Algorithm
, A New Computational Approach to the Levenberg-Marquardt Learning Algorithm, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13588 LNAI, 13588 LNAI, 16-26, 2023, Liczba cytowań: 0
Lapa K., Rutkowska D., Byrski A., Napoli C., A NEW APPROACH TO DETECTING AND PREVENTING POPULATIONS STAGNATION THROUGH DYNAMIC CHANGES IN MULTI-POPULATION-BASED ALGORITHMS. (0)
A NEW APPROACH TO DETECTING AND PREVENTING POPULATIONS STAGNATION THROUGH DYNAMIC CHANGES IN MULTI-POPULATION-BASED ALGORITHMS
, A NEW APPROACH TO DETECTING AND PREVENTING POPULATIONS STAGNATION THROUGH DYNAMIC CHANGES IN MULTI-POPULATION-BASED ALGORITHMS, Journal of Artificial Intelligence and Soft Computing Research, 13, 13, 289-306, 2023, Liczba cytowań: 0
De Magistris G., Comminiello D., Napoli C., Starczewski J.T., Visual Odometry with Depth-Wise Separable Convolution and Quaternion Neural Networks. (0)
Visual Odometry with Depth-Wise Separable Convolution and Quaternion Neural Networks
, Visual Odometry with Depth-Wise Separable Convolution and Quaternion Neural Networks, CEUR Workshop Proceedings, 3417, 3417, 70-80, 2023, Liczba cytowań: 0
Alfarano A., De Magistris G., Mongelli L., Russo S., Starczewski J., Napoli C., A Novel ConvMixer Transformer Based Architecture for Violent Behavior Detection. (0)
A Novel ConvMixer Transformer Based Architecture for Violent Behavior Detection
, A Novel ConvMixer Transformer Based Architecture for Violent Behavior Detection, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14126 LNAI, 14126 LNAI, 3-16, 2023, Liczba cytowań: 02022 (12)
De Magistris G., Russo S., Roma P., Starczewski J.T., Napoli C., An Explainable Fake News Detector Based on Named Entity Recognition and Stance Classification Applied to COVID-19. (26)
An Explainable Fake News Detector Based on Named Entity Recognition and Stance Classification Applied to COVID-19
, An Explainable Fake News Detector Based on Named Entity Recognition and Stance Classification Applied to COVID-19, Information (Switzerland), 13, 13, 2022, Liczba cytowań: 26
Hammad M., Meshoul S., Dziwinski P., Plawiak P., Elgendy I.A., Efficient Lightweight Multimodel Deep Fusion Based on ECG for Arrhythmia Classification. (9)
Efficient Lightweight Multimodel Deep Fusion Based on ECG for Arrhythmia Classification
, Efficient Lightweight Multimodel Deep Fusion Based on ECG for Arrhythmia Classification, Sensors, 22, 22, 2022, Liczba cytowań: 9
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
Grycuk R., Scherer R., Marchlewska A., Napoli C., Semantic Hashing for Fast Solar Magnetogram Retrieval. (4)
Semantic Hashing for Fast Solar Magnetogram Retrieval
, Semantic Hashing for Fast Solar Magnetogram Retrieval, Journal of Artificial Intelligence and Soft Computing Research, 12, 12, 299-306, 2022, Liczba cytowań: 4
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
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
Starczewski J.T., Przybyszewski K., Byrski A., Szmidt E., Napoli C., A Novel Approach to Type-Reduction and Design of Interval Type-2 Fuzzy Logic Systems. (2)
A Novel Approach to Type-Reduction and Design of Interval Type-2 Fuzzy Logic Systems
, A Novel Approach to Type-Reduction and Design of Interval Type-2 Fuzzy Logic Systems, Journal of Artificial Intelligence and Soft Computing Research, 12, 12, 197-206, 2022, Liczba cytowań: 2
Grycuk R., Galkowski T., Scherer R., Rutkowski L., A Novel Method for Solar Image Retrieval Based on the Parzen Kernel Estimate of the Function Derivative and Convolutional Autoencoder. (1)
A Novel Method for Solar Image Retrieval Based on the Parzen Kernel Estimate of the Function Derivative and Convolutional Autoencoder
, A Novel Method for Solar Image Retrieval Based on the Parzen Kernel Estimate of the Function Derivative and Convolutional Autoencoder, Proceedings of the International Joint Conference on Neural Networks, 2022-July, 2022-July, 2022, Liczba cytowań: 1
Galkowski T., Krzyzak A., Dziwinski P., Fast Estimation of Multidimensional Regression Functions. (1)
Fast Estimation of Multidimensional Regression Functions
, Fast Estimation of Multidimensional Regression Functions, 2022 17th International Conference on Control, Automation, Robotics and Vision, ICARCV 2022, 211-216, 2022, Liczba cytowań: 1
Grycuk R., Korytkowski M., Scherer R., Drozda P., Wei W., Kordos M., Fast Solar Image Retrieval and Classification by Fuzzy Rules. (0)
Fast Solar Image Retrieval and Classification by Fuzzy Rules
, Fast Solar Image Retrieval and Classification by Fuzzy Rules, IEEE International Conference on Fuzzy Systems, 2022-July, 2022-July, 2022, Liczba cytowań: 0
De Magistris G., Romano M., Starczewski J., Napoli C., A Novel DWT-based Encoder for Human Pose Estimation. (0)
A Novel DWT-based Encoder for Human Pose Estimation
, A Novel DWT-based Encoder for Human Pose Estimation, CEUR Workshop Proceedings, 3360, 3360, 33-40, 2022, Liczba cytowań: 0
Ponzi V., Iacobelli E., Napoli C., Starczewski J., A Real-time Hand Gesture Recognition System for Human-Computer and Human-Robot Interaction. (0)
A Real-time Hand Gesture Recognition System for Human-Computer and Human-Robot Interaction
, A Real-time Hand Gesture Recognition System for Human-Computer and Human-Robot Interaction, CEUR Workshop Proceedings, 3398, 3398, 52-58, 2022, Liczba cytowań: 02021 (14)
Bilski J., Rutkowski L., Smolag J., Tao D., A novel method for speed training acceleration of recurrent neural networks. (19)
A novel method for speed training acceleration of recurrent neural networks
, A novel method for speed training acceleration of recurrent neural networks, Information Sciences, 553, 553, 266-279, 2021, Liczba cytowań: 19
Starczewski A., Scherer M.M., Ksiek W., Debski M., Wang L., A Novel Grid-Based Clustering Algorithm. (12)
A Novel Grid-Based Clustering Algorithm
, A Novel Grid-Based Clustering Algorithm, Journal of Artificial Intelligence and Soft Computing Research, 11, 11, 319-330, 2021, Liczba cytowań: 12
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
Dziwinski P., Przybyl A., Trippner P., Paszkowski J., Hayashi Y., Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm. (10)
Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm
, Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm, Journal of Artificial Intelligence and Soft Computing Research, 11, 11, 243-266, 2021, Liczba cytowań: 10
Grycuk R., Scherer R., Grid-Based Concise Hash for Solar Images. (2)
Grid-Based Concise Hash for Solar Images
, Grid-Based Concise Hash for Solar Images, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12744 LNCS, 12744 LNCS, 242-254, 2021, Liczba cytowań: 2
Wrobel M., Starczewski J.T., Fijalkowska J., Siwocha A., Napoli C., Handwritten word recognition using fuzzy matching degrees. (2)
Handwritten word recognition using fuzzy matching degrees
, Handwritten word recognition using fuzzy matching degrees, Journal of Artificial Intelligence and Soft Computing Research, 11, 11, 229-242, 2021, Liczba cytowań: 2
Bilski J., Smolag J., Najgebauer P., Modification of Learning Feedforward Neural Networks with the BP Method. (2)
Modification of Learning Feedforward Neural Networks with the BP Method
, Modification of Learning Feedforward Neural Networks with the BP Method, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12854 LNAI, 12854 LNAI, 54-65, 2021, Liczba cytowań: 2
Jaworski M., Rutkowski L., Staszewski P., Najgebauer P., Monitoring of Changes in Data Stream Distribution Using Convolutional Restricted Boltzmann Machines. (2)
Monitoring of Changes in Data Stream Distribution Using Convolutional Restricted Boltzmann Machines
, Monitoring of Changes in Data Stream Distribution Using Convolutional Restricted Boltzmann Machines, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12854 LNAI, 12854 LNAI, 338-346, 2021, Liczba cytowań: 2
Walczak J., Wojciechowski A., Najgebauer P., Scherer R., Vicinity-Based Abstraction: VA-DGCNN Architecture for Noisy 3D Indoor Object Classification. (1)
Vicinity-Based Abstraction: VA-DGCNN Architecture for Noisy 3D Indoor Object Classification
, Vicinity-Based Abstraction: VA-DGCNN Architecture for Noisy 3D Indoor Object Classification, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12744 LNCS, 12744 LNCS, 229-241, 2021, Liczba cytowań: 1
Grycuk R., Scherer R., Solar Image Hashing by Intermediate Descriptor and Autoencoder. (1)
Solar Image Hashing by Intermediate Descriptor and Autoencoder
, Solar Image Hashing by Intermediate Descriptor and Autoencoder, Proceedings of the International Joint Conference on Neural Networks, 2021-July, 2021-July, 2021, Liczba cytowań: 1
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
Duda P., Rutkowski L., Woldan P., Najgebauer P., The Streaming Approach to Training Restricted Boltzmann Machines. (0)
The Streaming Approach to Training Restricted Boltzmann Machines
, The Streaming Approach to Training Restricted Boltzmann Machines, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12854 LNAI, 12854 LNAI, 308-317, 2021, Liczba cytowań: 0
Starczewski A., A Novel Approach to Determining the Radius of the Neighborhood Required for the DBSCAN Algorithm. (0)
A Novel Approach to Determining the Radius of the Neighborhood Required for the DBSCAN Algorithm
, A Novel Approach to Determining the Radius of the Neighborhood Required for the DBSCAN Algorithm, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12854 LNAI, 12854 LNAI, 358-368, 2021, Liczba cytowań: 0
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: 02020 (25)
Dziwinski P., Bartczuk L., A New Hybrid Particle Swarm Optimization and Genetic Algorithm Method Controlled by Fuzzy Logic. (69)
A New Hybrid Particle Swarm Optimization and Genetic Algorithm Method Controlled by Fuzzy Logic
, A New Hybrid Particle Swarm Optimization and Genetic Algorithm Method Controlled by Fuzzy Logic, IEEE Transactions on Fuzzy Systems, 28, 28, 1140-1154, 2020, Liczba cytowań: 69
Starczewski A., Goetzen P., Er M.J., A New Method for Automatic Determining of the DBSCAN Parameters. (37)
A New Method for Automatic Determining of the DBSCAN Parameters
, A New Method for Automatic Determining of the DBSCAN Parameters, Journal of Artificial Intelligence and Soft Computing Research, 10, 10, 209-221, 2020, Liczba cytowań: 37
Starczewski J.T., Goetzen P., Napoli C., Triangular Fuzzy-Rough Set Based Fuzzification of Fuzzy Rule-Based Systems. (16)
Triangular Fuzzy-Rough Set Based Fuzzification of Fuzzy Rule-Based Systems
, Triangular Fuzzy-Rough Set Based Fuzzification of Fuzzy Rule-Based Systems, Journal of Artificial Intelligence and Soft Computing Research, 10, 10, 271-285, 2020, Liczba cytowań: 16
Dziwinski P., Bartczuk L., Paszkowski J., A New Auto Adaptive Fuzzy Hybrid Particle Swarm Optimization and Genetic Algorithm. (16)
A New Auto Adaptive Fuzzy Hybrid Particle Swarm Optimization and Genetic Algorithm
, A New Auto Adaptive Fuzzy Hybrid Particle Swarm Optimization and Genetic Algorithm, Journal of Artificial Intelligence and Soft Computing Research, 10, 10, 95-111, 2020, Liczba cytowań: 16
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
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
Laskowska M., Pastukh O., Fedorchuk A., Schabikowski M., Kowalczyk P., Zalasinski M., Laskowski L., Nanostructured silica with anchoring units: The 2D solid solvent for molecules and metal ions. (11)
Nanostructured silica with anchoring units: The 2D solid solvent for molecules and metal ions
, Nanostructured silica with anchoring units: The 2D solid solvent for molecules and metal ions, International Journal of Molecular Sciences, 21, 21, 1-38, 2020, Liczba cytowań: 11
Grycuk R., Wojciechowski A., Wei W., Siwocha A., Detecting Visual Objects by Edge Crawling. (10)
Detecting Visual Objects by Edge Crawling
, Detecting Visual Objects by Edge Crawling, Journal of Artificial Intelligence and Soft Computing Research, 10, 10, 223-237, 2020, Liczba cytowań: 10
Grycuk R., Najgebauer P., Kordos M., Scherer M.M., Marchlewska A., Fast Image Index for Database Management Engines. (10)
Fast Image Index for Database Management Engines
, Fast Image Index for Database Management Engines, Journal of Artificial Intelligence and Soft Computing Research, 10, 10, 113-123, 2020, Liczba cytowań: 10
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
Laskowska M., Pastukh O., Konieczny P., Dulski M., Zalsinski M., Laskowski L., Magnetic behaviour of Mn<inf>12</inf>-stearate single-molecule magnets immobilized on the surface of 300 nm spherical silica nanoparticles. (9)
Magnetic behaviour of Mn<inf>12</inf>-stearate single-molecule magnets immobilized on the surface of 300 nm spherical silica nanoparticles
, Magnetic behaviour of Mn<inf>12</inf>-stearate single-molecule magnets immobilized on the surface of 300 nm spherical silica nanoparticles, Materials, 13, 13, 2020, Liczba cytowań: 9
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
Najgebauer P., Scherer R., Rutkowski L., Fully Convolutional Network for Removing DCT Artefacts from Images. (4)
Fully Convolutional Network for Removing DCT Artefacts from Images
, Fully Convolutional Network for Removing DCT Artefacts from Images, Proceedings of the International Joint Conference on Neural Networks, 2020, Liczba cytowań: 4
Bilski J., Smolag J., Fast Conjugate Gradient Algorithm for Feedforward Neural Networks. (4)
Fast Conjugate Gradient Algorithm for Feedforward Neural Networks
, Fast Conjugate Gradient Algorithm for Feedforward Neural Networks, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12415 LNAI, 12415 LNAI, 27-38, 2020, Liczba cytowań: 4
Starczewski A., Cader A., Grid-Based Approach to Determining Parameters of the DBSCAN Algorithm. (3)
Grid-Based Approach to Determining Parameters of the DBSCAN Algorithm
, Grid-Based Approach to Determining Parameters of the DBSCAN Algorithm, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12415 LNAI, 12415 LNAI, 555-565, 2020, Liczba cytowań: 3
Zalasinski M., Lapa K., Laskowska M., Intelligent Approach to the Prediction of Changes in Biometric Attributes. (3)
Intelligent Approach to the Prediction of Changes in Biometric Attributes
, Intelligent Approach to the Prediction of Changes in Biometric Attributes, IEEE Transactions on Fuzzy Systems, 28, 28, 1073-1083, 2020, Liczba cytowań: 3
Wrobel M., Starczewski J.T., Napoli C., Grouping Handwritten Letter Strokes Using a Fuzzy Decision Tree. (2)
Grouping Handwritten Letter Strokes Using a Fuzzy Decision Tree
, Grouping Handwritten Letter Strokes Using a Fuzzy Decision Tree, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12416 LNAI, 12416 LNAI, 103-113, 2020, Liczba cytowań: 2
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
Bartczuk L., Dziwinski P., Goetzen P., Nonlinear Fuzzy Modelling of Dynamic Objects with Fuzzy Hybrid Particle Swarm Optimization and Genetic Algorithm. (1)
Nonlinear Fuzzy Modelling of Dynamic Objects with Fuzzy Hybrid Particle Swarm Optimization and Genetic Algorithm
, Nonlinear Fuzzy Modelling of Dynamic Objects with Fuzzy Hybrid Particle Swarm Optimization and Genetic Algorithm, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12415 LNAI, 12415 LNAI, 315-325, 2020, Liczba cytowań: 1
Grycuk R., Scherer R., Novel Fast Binary Hash for Content-based Solar Image Retrieval. (1)
Novel Fast Binary Hash for Content-based Solar Image Retrieval
, Novel Fast Binary Hash for Content-based Solar Image Retrieval, Proceedings of the International Joint Conference on Neural Networks, 2020, Liczba cytowań: 1
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
Kazikova A., Lapa K., Pluhacek M., Senkerik R., Cascade PID Controller Optimization Using Bison Algorithm. (1)
Cascade PID Controller Optimization Using Bison Algorithm
, Cascade PID Controller Optimization Using Bison Algorithm, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12415 LNAI, 12415 LNAI, 406-416, 2020, Liczba cytowań: 1
Grycuk R., Costa K., Scherer R., Active Region-Based Full-Disc Solar Image Hashing. (0)
Active Region-Based Full-Disc Solar Image Hashing
, Active Region-Based Full-Disc Solar Image Hashing, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12416 LNAI, 12416 LNAI, 19-30, 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., 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: 02019 (20)
Rutkowski T., Lapa K., Nielek R., On Explainable Fuzzy Recommenders and their Performance Evaluation. (21)
On Explainable Fuzzy Recommenders and their Performance Evaluation
, On Explainable Fuzzy Recommenders and their Performance Evaluation, International Journal of Applied Mathematics and Computer Science, 29, 29, 595-610, 2019, Liczba cytowań: 21
Starczewski A., Cader A., Determining the eps parameter of the DBSCAN algorithm. (13)
Determining the eps parameter of the DBSCAN algorithm
, Determining the eps parameter of the DBSCAN algorithm, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11509 LNAI, 11509 LNAI, 420-430, 2019, Liczba cytowań: 13
Najgebauer P., Scherer R., Inertia-based Fast Vectorization of Line Drawings. (13)
Inertia-based Fast Vectorization of Line Drawings
, Inertia-based Fast Vectorization of Line Drawings, Computer Graphics Forum, 38, 38, 203-213, 2019, Liczba cytowań: 13
Rutkowski T., Lapa K., Jaworski M., Nielek R., Rutkowska D., On explainable flexible fuzzy recommender and its performance evaluation using the akaike information criterion. (12)
On explainable flexible fuzzy recommender and its performance evaluation using the akaike information criterion
, On explainable flexible fuzzy recommender and its performance evaluation using the akaike information criterion, Communications in Computer and Information Science, 1142 CCIS, 1142 CCIS, 717-724, 2019, Liczba cytowań: 12
Lapa K., Meta-optimization of multi-objective population-based algorithms using multi-objective performance metrics. (11)
Meta-optimization of multi-objective population-based algorithms using multi-objective performance metrics
, Meta-optimization of multi-objective population-based algorithms using multi-objective performance metrics, Information Sciences, 489, 489, 193-204, 2019, Liczba cytowań: 11
Rutkowski T., Lapa K., Nowicki R., Nielek R., Grzanek K., On Explainable Recommender Systems Based on Fuzzy Rule Generation Techniques. (7)
On Explainable Recommender Systems Based on Fuzzy Rule Generation Techniques
, On Explainable Recommender Systems Based on Fuzzy Rule Generation Techniques, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11508 LNAI, 11508 LNAI, 358-372, 2019, Liczba cytowań: 7
Dziwinski P., Bartczuk L., Goetzen P., A New Hybrid Particle Swarm Optimization and Evolutionary Algorithm. (6)
A New Hybrid Particle Swarm Optimization and Evolutionary Algorithm
, A New Hybrid Particle Swarm Optimization and Evolutionary Algorithm, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11508 LNAI, 11508 LNAI, 432-444, 2019, Liczba cytowań: 6
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
Najgebauer P., Grycuk R., Rutkowski L., Scherer R., Siwocha A., Microscopic Sample Segmentation by Fully Convolutional Network for Parasite Detection. (4)
Microscopic Sample Segmentation by Fully Convolutional Network for Parasite Detection
, Microscopic Sample Segmentation by Fully Convolutional Network for Parasite Detection, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11508 LNAI, 11508 LNAI, 164-171, 2019, Liczba cytowań: 4
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: 3
Starczewski J.T., Nowicki R.K., Nieszporek K., Fuzzy-rough fuzzification in general FL classifiers. (2)
Fuzzy-rough fuzzification in general FL classifiers
, Fuzzy-rough fuzzification in general FL classifiers, IJCCI 2019 - Proceedings of the 11th International Joint Conference on Computational Intelligence, 335-342, 2019, Liczba cytowań: 2
Wrobel M., Starczewski J.T., Nieszporek K., Opielka P., Kazmierczak A., A greedy algorithm for extraction of handwritten strokes. (2)
A greedy algorithm for extraction of handwritten strokes
, A greedy algorithm for extraction of handwritten strokes, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11509 LNAI, 11509 LNAI, 464-473, 2019, Liczba cytowań: 2
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
Grycuk R., Scherer R., Software framework for fast image retrieval. (2)
Software framework for fast image retrieval
, Software framework for fast image retrieval, 2019 24th International Conference on Methods and Models in Automation and Robotics, MMAR 2019, 588-593, 2019, Liczba cytowań: 2
Nowicki R.K., Starczewski J.T., Grycuk R., Extended possibilistic fuzzification for classification. (1)
Extended possibilistic fuzzification for classification
, Extended possibilistic fuzzification for classification, IJCCI 2019 - Proceedings of the 11th International Joint Conference on Computational Intelligence, 343-350, 2019, Liczba cytowań: 1
Grycuk R., Najgebauer P., Nowicki R., Scherer R., Multilayer architecture for content-based image retrieval systems. (1)
Multilayer architecture for content-based image retrieval systems
, Multilayer architecture for content-based image retrieval systems, Proceedings - 2019 IEEE 12th Conference on Service-Oriented Computing and Applications, SOCA 2019, 119-126, 2019, Liczba cytowań: 1
Opielka P., Starczewski J.T., Wrobel M., Nieszporek K., Marchlewska A., Application of Spiking Neural Networks to Fashion Classification. (1)
Application of Spiking Neural Networks to Fashion Classification
, Application of Spiking Neural Networks to Fashion Classification, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11508 LNAI, 11508 LNAI, 172-180, 2019, Liczba cytowań: 1
Nowicki R.K., Starczewski J.T., Grycuk R., Extended Possibilistic Fuzzification for Classification. (0)
Extended Possibilistic Fuzzification for Classification
, Extended Possibilistic Fuzzification for Classification, International Joint Conference on Computational Intelligence, 1, 1, 343-350, 2019, Liczba cytowań: 0
Starczewski J.T., Nowicki R.K., Nieszporek K., Fuzzy–rough Fuzzification in General FL Classifiers. (0)
Fuzzy–rough Fuzzification in General FL Classifiers
, Fuzzy–rough Fuzzification in General FL Classifiers, International Joint Conference on Computational Intelligence, 1, 1, 335-342, 2019, Liczba cytowań: 0
Cierniak R., Dobosz P., Grzybowski A., EM-ML algorithm based on continuous-to-continuous model for PET. (0)
EM-ML algorithm based on continuous-to-continuous model for PET
, EM-ML algorithm based on continuous-to-continuous model for PET, Proceedings of SPIE - The International Society for Optical Engineering, 11072, 11072, 2019, Liczba cytowań: 02018 (23)
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., 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., 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
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
Kordos M., Lapa K., Multi-objective evolutionary instance selection for regression tasks. (12)
Multi-objective evolutionary instance selection for regression tasks
, Multi-objective evolutionary instance selection for regression tasks, Entropy, 20, 20, 2018, Liczba cytowań: 12
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
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., 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
Wrobel M., Nieszporek K., Starczewski J.T., Cader A., A fuzzy measure for recognition of handwritten letter strokes. (6)
A fuzzy measure for recognition of handwritten letter strokes
, A fuzzy measure for recognition of handwritten letter strokes, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10841 LNAI, 10841 LNAI, 761-770, 2018, Liczba cytowań: 6
Dziwinski P., Bartczuk L., Przybyszewski K., A population based algorithm and fuzzy decision trees for nonlinear modeling. (4)
A population based algorithm and fuzzy decision trees for nonlinear modeling
, A population based algorithm and fuzzy decision trees for nonlinear modeling, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10842 LNAI, 10842 LNAI, 516-531, 2018, Liczba cytowań: 4
Starczewski J.T., Nieszporek K., Wrobel M., Grzanek K., A fuzzy SOM for understanding incomplete 3D faces. (4)
A fuzzy SOM for understanding incomplete 3D faces
, A fuzzy SOM for understanding incomplete 3D faces, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10842 LNAI, 10842 LNAI, 73-80, 2018, Liczba cytowań: 4
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
Kordos M., Wydrzynski M., Lapa K., Obtaining pareto front in instance selection with ensembles and populations. (3)
Obtaining pareto front in instance selection with ensembles and populations
, Obtaining pareto front in instance selection with ensembles and populations, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10841 LNAI, 10841 LNAI, 438-448, 2018, Liczba cytowań: 3
Najgebauer P., Grycuk R., Scherer R., Fast Two-Level Image Indexing Based on Local Interest Points. (2)
Fast Two-Level Image Indexing Based on Local Interest Points
, Fast Two-Level Image Indexing Based on Local Interest Points, 2018 23rd International Conference on Methods and Models in Automation and Robotics, MMAR 2018, 613-617, 2018, Liczba cytowań: 2
Jaworski M., Najgebauer P., Goetzen P., Estimation of probability density function, differential entropy and other relative quantities for data streams with concept drift. (1)
Estimation of probability density function, differential entropy and other relative quantities for data streams with concept drift
, Estimation of probability density function, differential entropy and other relative quantities for data streams with concept drift, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10842 LNAI, 10842 LNAI, 376-386, 2018, Liczba cytowań: 1
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
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: 1
Starczewski A., Przybyszewski K., Improvement of the simplified silhouette validity index. (1)
Improvement of the simplified silhouette validity index
, Improvement of the simplified silhouette validity index, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10842 LNAI, 10842 LNAI, 433-444, 2018, Liczba cytowań: 1
Grycuk R., Najgebauer P., Scherer R., Siwocha A., Architecture of database index for content-based image retrieval systems. (1)
Architecture of database index for content-based image retrieval systems
, Architecture of database index for content-based image retrieval systems, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10842 LNAI, 10842 LNAI, 36-47, 2018, Liczba cytowań: 1
Lapa K., Population-based algorithm with selectable evolutionary operators for nonlinear modeling. (0)
Population-based algorithm with selectable evolutionary operators for nonlinear modeling
, Population-based algorithm with selectable evolutionary operators for nonlinear modeling, Advances in Intelligent Systems and Computing, 655, 655, 15-26, 2018, Liczba cytowań: 0
Bartczuk L., Dziwinski P., Cader A., Symbolic regression with the AMSTA+GP in a non-linear modelling of dynamic objects. (0)
Symbolic regression with the AMSTA+GP in a non-linear modelling of dynamic objects
, Symbolic regression with the AMSTA+GP in a non-linear modelling of dynamic objects, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10842 LNAI, 10842 LNAI, 504-515, 2018, Liczba cytowań: 0
Cierniak R., Dobosz P., Pluta P., Filutowicz P., Analytical realization of the EM algorithm for emission positron tomography. (0)
Analytical realization of the EM algorithm for emission positron tomography
, Analytical realization of the EM algorithm for emission positron tomography, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10842 LNAI, 10842 LNAI, 127-136, 2018, Liczba cytowań: 0
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: 02017 (22)
Starczewski A., A new validity index for crisp clusters. (47)
A new validity index for crisp clusters
, A new validity index for crisp clusters, Pattern Analysis and Applications, 20, 20, 687-700, 2017, Liczba cytowań: 47
Nowicki R.K., Starczewski J.T., A new method for classification of imprecise data using fuzzy rough fuzzification. (24)
A new method for classification of imprecise data using fuzzy rough fuzzification
, A new method for classification of imprecise data using fuzzy rough fuzzification, Information Sciences, 414, 414, 33-52, 2017, Liczba cytowań: 24
Wrobel M., Starczewski J.T., Napoli C., Handwriting recognition with extraction of letter fragments. (14)
Handwriting recognition with extraction of letter fragments
, Handwriting recognition with extraction of letter fragments, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10246 LNAI, 10246 LNAI, 183-192, 2017, Liczba cytowań: 14
Jaworski M., Duda P., Rutkowski L., Najgebauer P., Pawlak M., Heuristic regression function estimation methods for data streams with concept drift. (10)
Heuristic regression function estimation methods for data streams with concept drift
, Heuristic regression function estimation methods for data streams with concept drift, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10246 LNAI, 10246 LNAI, 726-737, 2017, Liczba cytowań: 10
Bartczuk L., Dziwinski P., Red'Ko V.G., The concept on nonlinear modelling of dynamic objects based on state transition algorithm and genetic programming. (6)
The concept on nonlinear modelling of dynamic objects based on state transition algorithm and genetic programming
, The concept on nonlinear modelling of dynamic objects based on state transition algorithm and genetic programming, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10246 LNAI, 10246 LNAI, 209-220, 2017, Liczba cytowań: 6
Dziwinski P., Bartczuk L., Tingwen H., A method for non-linear modelling based on the capabilities of PSO and GA algorithms. (5)
A method for non-linear modelling based on the capabilities of PSO and GA algorithms
, A method for non-linear modelling based on the capabilities of PSO and GA algorithms, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10246 LNAI, 10246 LNAI, 221-232, 2017, Liczba cytowań: 5
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: 4
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
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
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
Starczewski A., Krzyzak A., Improvement of the validity index for determination of an appropriate data partitioning. (3)
Improvement of the validity index for determination of an appropriate data partitioning
, Improvement of the validity index for determination of an appropriate data partitioning, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10246 LNAI, 10246 LNAI, 159-170, 2017, Liczba cytowań: 3
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
Lapa K., Elastic FOPID+FIR controller design using hybrid population-based algorithm. (3)
Elastic FOPID+FIR controller design using hybrid population-based algorithm
, Elastic FOPID+FIR controller design using hybrid population-based algorithm, Advances in Intelligent Systems and Computing, 522, 522, 15-26, 2017, Liczba cytowań: 3
Najgebauer P., Rutkowski L., Scherer R., Novel method for joining missing line fragments for medical image analysis. (3)
Novel method for joining missing line fragments for medical image analysis
, Novel method for joining missing line fragments for medical image analysis, 2017 22nd International Conference on Methods and Models in Automation and Robotics, MMAR 2017, 861-866, 2017, Liczba cytowań: 3
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
Grycuk R., Scherer M., Voloshynovskiy S., Local keypoint-based image detector with object detection. (2)
Local keypoint-based image detector with object detection
, Local keypoint-based image detector with object detection, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10245 LNAI, 10245 LNAI, 507-517, 2017, Liczba cytowań: 2
Najgebauer P., Rutkowski L., Scherer R., Interest point localization based on edge detection according to gestalt laws. (2)
Interest point localization based on edge detection according to gestalt laws
, Interest point localization based on edge detection according to gestalt laws, 2017 2nd IEEE International Conference on Computational Intelligence and Applications, ICCIA 2017, 2017-January, 2017-January, 349-353, 2017, Liczba cytowań: 2
Cierniak R., Bilski J., Smolag J., Pluta P., Shah N., Parallel realizations of the iterative statistical reconstruction algorithm for 3D computed tomography. (1)
Parallel realizations of the iterative statistical reconstruction algorithm for 3D computed tomography
, Parallel realizations of the iterative statistical reconstruction algorithm for 3D computed tomography, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10245 LNAI, 10245 LNAI, 473-484, 2017, Liczba cytowań: 1
Starczewski A., Krzyzak A., A study of cluster validity indices for real-life data. (1)
A study of cluster validity indices for real-life data
, A study of cluster validity indices for real-life data, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10246 LNAI, 10246 LNAI, 148-158, 2017, Liczba cytowań: 1
Vladymyrska N., Wrobel M., Starczewski J.T., Hnatushenko V., Narx neural network for prediction of refresh timeout in PIM–DM multicast routing. (0)
Narx neural network for prediction of refresh timeout in PIM–DM multicast routing
, Narx neural network for prediction of refresh timeout in PIM–DM multicast routing, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10245 LNAI, 10245 LNAI, 199-205, 2017, Liczba cytowań: 0
Lapa K., A new algorithm for online management of fuzzy rules base for nonlinear modeling. (0)
A new algorithm for online management of fuzzy rules base for nonlinear modeling
, A new algorithm for online management of fuzzy rules base for nonlinear modeling, Advances in Intelligent Systems and Computing, 521, 521, 15-28, 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: 02016 (25)
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
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
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
Grycuk R., Gabryel M., Nowicki R., Scherer R., Content-based image retrieval optimization by differential evolution. (17)
Content-based image retrieval optimization by differential evolution
, Content-based image retrieval optimization by differential evolution, 2016 IEEE Congress on Evolutionary Computation, CEC 2016, 86-93, 2016, Liczba cytowań: 17
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
Dziwinski P., Avedyan E.D., A new method of the intelligent modeling of the nonlinear dynamic objects with fuzzy detection of the operating points. (15)
A new method of the intelligent modeling of the nonlinear dynamic objects with fuzzy detection of the operating points
, A new method of the intelligent modeling of the nonlinear dynamic objects with fuzzy detection of the operating points, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9693, 9693, 293-305, 2016, Liczba cytowań: 15
Zalasinski M., New algorithm for on-line signature verification using characteristic global features. (14)
New algorithm for on-line signature verification using characteristic global features
, New algorithm for on-line signature verification using characteristic global features, Advances in Intelligent Systems and Computing, 432, 432, 137-146, 2016, Liczba cytowań: 14
Starczewski A., Krzyzak A., A modification of the Silhouette index for the improvement of cluster validity assessment. (13)
A modification of the Silhouette index for the improvement of cluster validity assessment
, A modification of the Silhouette index for the improvement of cluster validity assessment, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9693, 9693, 114-124, 2016, Liczba cytowań: 13
Bartczuk L., Lapa K., Koprinkova-Hristova P., A new method for generating of fuzzy rules for the nonlinear modelling based on semantic genetic programming. (12)
A new method for generating of fuzzy rules for the nonlinear modelling based on semantic genetic programming
, A new method for generating of fuzzy rules for the nonlinear modelling based on semantic genetic programming, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9693, 9693, 262-278, 2016, Liczba cytowań: 12
Starczewski J.T., Pabiasz S., Vladymyrska N., Marvuglia A., Napoli C., Wozniak M., Self organizing maps for 3D face understanding. (11)
Self organizing maps for 3D face understanding
, Self organizing maps for 3D face understanding, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9693, 9693, 210-217, 2016, Liczba cytowań: 11
Grycuk R., Gabryel M., Scherer M., Voloshynovskiy S., Image descriptor based on edge detection and crawler algorithm. (9)
Image descriptor based on edge detection and crawler algorithm
, Image descriptor based on edge detection and crawler algorithm, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9693, 9693, 647-659, 2016, Liczba cytowań: 9
Saito T., Yasuda K., Ishikawa T., Hosoi R., Takahashi K., Chen Y., Zalasinski M., Estimating CPU features by browser fingerprinting. (8)
Estimating CPU features by browser fingerprinting
, Estimating CPU features by browser fingerprinting, Proceedings - 2016 10th International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing, IMIS 2016, 587-592, 2016, Liczba cytowań: 8
Lapa K., Szczypta J., Saito T., Aspects of evolutionary construction of new flexible PID-fuzzy controller. (6)
Aspects of evolutionary construction of new flexible PID-fuzzy controller
, Aspects of evolutionary construction of new flexible PID-fuzzy controller, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9692, 9692, 450-464, 2016, Liczba cytowań: 6
Dziwinski P., Avedyan E.D., A new approach for using the fuzzy decision trees for the detection of the significant operating points in the nonlinear modeling. (6)
A new approach for using the fuzzy decision trees for the detection of the significant operating points in the nonlinear modeling
, A new approach for using the fuzzy decision trees for the detection of the significant operating points in the nonlinear modeling, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9693, 9693, 279-292, 2016, Liczba cytowań: 6
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., 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
Scherer M., Smolag J., Gaweda A., Predicting success of bank direct marketing by neuro-fuzzy systems. (3)
Predicting success of bank direct marketing by neuro-fuzzy systems
, Predicting success of bank direct marketing by neuro-fuzzy systems, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9693, 9693, 570-576, 2016, Liczba cytowań: 3
Przybyl A., Lapa K., Szczypta J., Wang L., The method of the evolutionary designing the elastic controller structure. (3)
The method of the evolutionary designing the elastic controller structure
, The method of the evolutionary designing the elastic controller structure, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9692, 9692, 476-492, 2016, Liczba cytowań: 3
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
Najgebauer P., Korytkowski M., Barranco C.D., Scherer R., Novel image descriptor based on color spatial distribution. (2)
Novel image descriptor based on color spatial distribution
, Novel image descriptor based on color spatial distribution, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9693, 9693, 712-722, 2016, Liczba cytowań: 2
Grycuk R., Knop M., Neural video compression based on surf scene change detection algorithm. (2)
Neural video compression based on surf scene change detection algorithm
, Neural video compression based on surf scene change detection algorithm, Advances in Intelligent Systems and Computing, 389, 389, 105-112, 2016, Liczba cytowań: 2
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
Najgebauer P., Scherer R., Fast image search by trees of keypoint descriptors. (0)
Fast image search by trees of keypoint descriptors
, Fast image search by trees of keypoint descriptors, Advances in Intelligent Systems and Computing, 364, 364, 541-552, 2016, Liczba cytowań: 0
Szczypta J., Lapa K., Aspects of structure selection and parameters tuning of control systems using hybrid genetic-fruit fly algorithm. (0)
Aspects of structure selection and parameters tuning of control systems using hybrid genetic-fruit fly algorithm
, Aspects of structure selection and parameters tuning of control systems using hybrid genetic-fruit fly algorithm, Advances in Intelligent Systems and Computing, 429, 429, 101-110, 2016, Liczba cytowań: 02015 (18)
Starczewski A., Krzyzak A., Performance evaluation of the silhouette index. (66)
Performance evaluation of the silhouette index
, Performance evaluation of the silhouette index, Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 9120, 9120, 49-58, 2015, Liczba cytowań: 66
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: 40
Bilski J., Smolag J., Parallel Architectures for Learning the RTRN and Elman Dynamic Neural Networks. (39)
Parallel Architectures for Learning the RTRN and Elman Dynamic Neural Networks
, Parallel Architectures for Learning the RTRN and Elman Dynamic Neural Networks, IEEE Transactions on Parallel and Distributed Systems, 26, 26, 2561-2570, 2015, Liczba cytowań: 39
Napoli C., Pappalardo G., Tramontana E., Nowicki R.K., Starczewski J.T., Wozniak M., Toward work groups classification based on probabilistic neural network approach. (36)
Toward work groups classification based on probabilistic neural network approach
, Toward work groups classification based on probabilistic neural network approach, Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 9119, 9119, 79-89, 2015, Liczba cytowań: 36
Wozniak M., Napoli C., Tramontana E., Capizzi G., Lo Sciuto G., Nowicki R.K., Starczewski J.T., A multiscale image compressor with RBFNN and Discrete Wavelet decomposition. (36)
A multiscale image compressor with RBFNN and Discrete Wavelet decomposition
, A multiscale image compressor with RBFNN and Discrete Wavelet decomposition, Proceedings of the International Joint Conference on Neural Networks, 2015-September, 2015-September, 2015, Liczba cytowań: 36
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
Bilski J., Smolag J., Zurada J.M., Parallel approach to the Levenberg-marquardt learning algorithm for feedforward neural networks. (22)
Parallel approach to the Levenberg-marquardt learning algorithm for feedforward neural networks
, Parallel approach to the Levenberg-marquardt learning algorithm for feedforward neural networks, Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 9119, 9119, 3-14, 2015, Liczba cytowań: 22
Lapa K., Szczypta J., Venkatesan R., Aspects of structure and parameters selection of control systems using selected multi-population algorithms. (20)
Aspects of structure and parameters selection of control systems using selected multi-population algorithms
, Aspects of structure and parameters selection of control systems using selected multi-population algorithms, Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 9120, 9120, 247-260, 2015, Liczba cytowań: 20
Grycuk R., Gabryel M., Scherer R., Voloshynovskiy S., Multi-layer architecture for storing visual data based on WCF and microsoft SQL server database. (19)
Multi-layer architecture for storing visual data based on WCF and microsoft SQL server database
, Multi-layer architecture for storing visual data based on WCF and microsoft SQL server database, Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 9119, 9119, 715-726, 2015, Liczba cytowań: 19
Dziwinski P., Avedyan E.D., A new approach to nonlinear modeling based on significant operating points detection. (18)
A new approach to nonlinear modeling based on significant operating points detection
, A new approach to nonlinear modeling based on significant operating points detection, Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 9120, 9120, 364-378, 2015, Liczba cytowań: 18
Gabryel M., Grycuk R., Korytkowski M., Holotyak T., Image indexing and retrieval using GSOM algorithm. (17)
Image indexing and retrieval using GSOM algorithm
, Image indexing and retrieval using GSOM algorithm, Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 9119, 9119, 706-714, 2015, Liczba cytowań: 17
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
Grycuk R., Knop M., Mandal S., Video key frame detection based on SURF algorithm. (10)
Video key frame detection based on SURF algorithm
, Video key frame detection based on SURF algorithm, Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 9119, 9119, 566-576, 2015, Liczba cytowań: 10
Pabiasz S., Starczewski J.T., Marvuglia A., SOM vs FCM vs PCA in 3D face recognition. (6)
SOM vs FCM vs PCA in 3D face recognition
, SOM vs FCM vs PCA in 3D face recognition, Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 9120, 9120, 120-129, 2015, Liczba cytowań: 6
Knop M., Dobosz P., Neural Video Compression Algorithm. (5)
Neural Video Compression Algorithm
, Neural Video Compression Algorithm, Advances in Intelligent Systems and Computing, 313 AISC, 313 AISC, 59-66, 2015, Liczba cytowań: 5
Galkowski T., Starczewski A., Fu X., Improvement of the multiple-view learning based on the self-organizing maps. (4)
Improvement of the multiple-view learning based on the self-organizing maps
, Improvement of the multiple-view learning based on the self-organizing maps, Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 9120, 9120, 3-12, 2015, Liczba cytowań: 4
Najgebauer P., Rygal J., Nowak T., Romanowski J., Rutkowski L., Voloshynovskiy S., Scherer R., Fast dictionary matching for content-based image retrieval. (2)
Fast dictionary matching for content-based image retrieval
, Fast dictionary matching for content-based image retrieval, Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 9119, 9119, 747-756, 2015, Liczba cytowań: 22014 (21)
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
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
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: 39
Starczewski J.T., Centroid of triangular and Gaussian type-2 fuzzy sets. (38)
Centroid of triangular and Gaussian type-2 fuzzy sets
, Centroid of triangular and Gaussian type-2 fuzzy sets, Information Sciences, 280, 280, 289-306, 2014, Liczba cytowań: 38
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
Dziwinski P., Bartczuk L., Przybyl A., Avedyan E.D., A new algorithm for identification of significant operating points using swarm intelligence. (32)
A new algorithm for identification of significant operating points using swarm intelligence
, A new algorithm for identification of significant operating points using swarm intelligence, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8468 LNAI, 8468 LNAI, 349-362, 2014, Liczba cytowań: 32
Grycuk R., Gabryel M., Korytkowski M., Scherer R., Voloshynovskiy S., From single image to list of objects based on edge and blob detection. (32)
From single image to list of objects based on edge and blob detection
, From single image to list of objects based on edge and blob detection, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8468 LNAI, 8468 LNAI, 605-615, 2014, Liczba cytowań: 32
Bilski J., Smolag J., Galushkin A.I., The parallel approach to the conjugate gradient learning algorithm for the feedforward neural networks. (26)
The parallel approach to the conjugate gradient learning algorithm for the feedforward neural networks
, The parallel approach to the conjugate gradient learning algorithm for the feedforward neural networks, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8467 LNAI, 8467 LNAI, 12-21, 2014, Liczba cytowań: 26
Grycuk R., Gabryel M., Korytkowski M., Scherer R., Content-Based Image Indexing by Data Clustering and Inverse Document Frequency. (26)
Content-Based Image Indexing by Data Clustering and Inverse Document Frequency
, Content-Based Image Indexing by Data Clustering and Inverse Document Frequency, Communications in Computer and Information Science, 424, 424, 374-383, 2014, Liczba cytowań: 26
Szczypta J., Lapa K., Shao Z., Aspects of the selection of the structure and parameters of controllers using selected population based algorithms. (17)
Aspects of the selection of the structure and parameters of controllers using selected population based algorithms
, Aspects of the selection of the structure and parameters of controllers using selected population based algorithms, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8467 LNAI, 8467 LNAI, 440-454, 2014, Liczba cytowań: 17
Grycuk R., Gabryel M., Korytkowski M., Romanowski J., Scherer R., Improved digital image segmentation based on stereo vision and mean shift algorithm. (13)
Improved digital image segmentation based on stereo vision and mean shift algorithm
, Improved digital image segmentation based on stereo vision and mean shift algorithm, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8384 LNCS, 8384 LNCS, 433-443, 2014, Liczba cytowań: 13
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
Nowak B.A., Nowicki R.K., Starczewski J.T., Marvuglia A., The learning of neuro-fuzzy classifier with fuzzy rough sets for imprecise datasets. (10)
The learning of neuro-fuzzy classifier with fuzzy rough sets for imprecise datasets
, The learning of neuro-fuzzy classifier with fuzzy rough sets for imprecise datasets, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8467 LNAI, 8467 LNAI, 256-266, 2014, Liczba cytowań: 10
Starczewski J.T., Nowicki R.K., Nowak B.A., Genetic fuzzy classifier with fuzzy rough sets for imprecise data. (8)
Genetic fuzzy classifier with fuzzy rough sets for imprecise data
, Genetic fuzzy classifier with fuzzy rough sets for imprecise data, IEEE International Conference on Fuzzy Systems, 1382-1389, 2014, Liczba cytowań: 8
Pabiasz S., Starczewski J.T., Marvuglia A., A new three-dimensional facial landmarks in recognition. (7)
A new three-dimensional facial landmarks in recognition
, A new three-dimensional facial landmarks in recognition, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8468 LNAI, 8468 LNAI, 179-186, 2014, Liczba cytowań: 7
Najgebauer P., Nowak T., Romanowski J., Gabryel M., Korytkowski M., Scherer R., Content-based image retrieval by dictionary of local feature descriptors. (5)
Content-based image retrieval by dictionary of local feature descriptors
, Content-based image retrieval by dictionary of local feature descriptors, Proceedings of the International Joint Conference on Neural Networks, 512-517, 2014, Liczba cytowań: 5
Nowak T., Najgebauer P., Romanowski J., Gabryel M., Korytkowski M., Scherer R., Kostadinov D., Spatial keypoint representation for visual object retrieval. (4)
Spatial keypoint representation for visual object retrieval
, Spatial keypoint representation for visual object retrieval, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8468 LNAI, 8468 LNAI, 639-650, 2014, Liczba cytowań: 4
Lorent A., Cierniak R., Dobosz P., Rebrova O., A new image reconstruction from projections algorithm. (1)
A new image reconstruction from projections algorithm
, A new image reconstruction from projections algorithm, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8467 LNAI, 8467 LNAI, 725-732, 2014, Liczba cytowań: 1
Dobosz P., Cierniak R., Using of EM algorithm to image reconstruction problem with tomography noises. (0)
Using of EM algorithm to image reconstruction problem with tomography noises
, Using of EM algorithm to image reconstruction problem with tomography noises, Advances in Intelligent Systems and Computing, 233, 233, 37-43, 2014, Liczba cytowań: 02013 (14)
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
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
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
Bilski J., Smolag J., Parallel approach to learning of the recurrent Jordan neural network. (26)
Parallel approach to learning of the recurrent Jordan neural network
, Parallel approach to learning of the recurrent Jordan neural network, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7894 LNAI, 7894 LNAI, 32-40, 2013, Liczba cytowań: 26
Bartczuk L., Przybyl A., Dziwinski P., Hybrid state variables - Fuzzy logic modelling of nonlinear objects. (19)
Hybrid state variables - Fuzzy logic modelling of nonlinear objects
, Hybrid state variables - Fuzzy logic modelling of nonlinear objects, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7894 LNAI, 7894 LNAI, 227-234, 2013, Liczba cytowań: 19
Starczewski J.T., Advanced concepts in fuzzy logic and systems with membership uncertainty. (17)
Advanced concepts in fuzzy logic and systems with membership uncertainty
, Advanced concepts in fuzzy logic and systems with membership uncertainty, Studies in Fuzziness and Soft Computing, 284, 284, 1-319, 2013, Liczba cytowań: 17
Pabiasz S., Starczewski J.T., A new approach to determine three-dimensional facial landmarks. (7)
A new approach to determine three-dimensional facial landmarks
, A new approach to determine three-dimensional facial landmarks, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7895 LNAI, 7895 LNAI, 286-296, 2013, Liczba cytowań: 7
Najgebauer P., Nowak T., Romanowski J., Rygal J., Korytkowski M., Representation of edge detection results based on graph theory. (4)
Representation of edge detection results based on graph theory
, Representation of edge detection results based on graph theory, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7894 LNAI, 7894 LNAI, 588-601, 2013, Liczba cytowań: 4
Rygal J., Najgebauer P., Romanowski J., Scherer R., Extraction of objects from images using density of edges as basis for GrabCut algorithm. (3)
Extraction of objects from images using density of edges as basis for GrabCut algorithm
, Extraction of objects from images using density of edges as basis for GrabCut algorithm, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7894 LNAI, 7894 LNAI, 613-623, 2013, Liczba cytowań: 3
Starczewski A., A clustering method based on the modified RS validity index. (3)
A clustering method based on the modified RS validity index
, A clustering method based on the modified RS validity index, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7895 LNAI, 7895 LNAI, 242-250, 2013, Liczba cytowań: 3
Nowak T., Najgebauer P., Rygal J., Scherer R., A novel graph-based descriptor for object matching. (2)
A novel graph-based descriptor for object matching
, A novel graph-based descriptor for object matching, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7894 LNAI, 7894 LNAI, 602-612, 2013, Liczba cytowań: 2
Romanowski J., Nowak T., Najgebauer P., Litwinski S., Improved X-ray edge detection based on background extraction algorithm. (1)
Improved X-ray edge detection based on background extraction algorithm
, Improved X-ray edge detection based on background extraction algorithm, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7895 LNAI, 7895 LNAI, 309-319, 2013, Liczba cytowań: 1
Lorent A., Knas M., Dobosz P., Neuronal model-based image reconstruction from projections method. (0)
Neuronal model-based image reconstruction from projections method
, Neuronal model-based image reconstruction from projections method, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7894 LNAI, 7894 LNAI, 580-587, 2013, Liczba cytowań: 02012 (11)
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
Bartczuk L., Dziwinski P., Starczewski J.T., A new method for dealing with unbalanced linguistic term set. (26)
A new method for dealing with unbalanced linguistic term set
, A new method for dealing with unbalanced linguistic term set, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7267 LNAI, 7267 LNAI, 207-212, 2012, Liczba cytowań: 26
Dziwinski P., Bartczuk L., Starczewski J.T., Fully controllable ant colony system for text data clustering. (26)
Fully controllable ant colony system for text data clustering
, Fully controllable ant colony system for text data clustering, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7269 LNCS, 7269 LNCS, 199-205, 2012, Liczba cytowań: 26
Bilski J., Smolag J., Parallel realisation of the recurrent multi layer perceptron learning. (24)
Parallel realisation of the recurrent multi layer perceptron learning
, Parallel realisation of the recurrent multi layer perceptron learning, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7267 LNAI, 7267 LNAI, 12-20, 2012, Liczba cytowań: 24
Pabiasz S., Starczewski J.T., Meshes vs. depth maps in face recognition systems. (5)
Meshes vs. depth maps in face recognition systems
, Meshes vs. depth maps in face recognition systems, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7267 LNAI, 7267 LNAI, 567-573, 2012, Liczba cytowań: 5
Rygal J., Najgebauer P., Nowak T., Romanowski J., Gabryel M., Scherer R., Properties and structure of fast text search engine in context of semantic image analysis. (4)
Properties and structure of fast text search engine in context of semantic image analysis
, Properties and structure of fast text search engine in context of semantic image analysis, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7267 LNAI, 7267 LNAI, 592-599, 2012, Liczba cytowań: 4
Najgebauer P., Nowak T., Romanowski J., Rygal J., Korytkowski M., Scherer R., Novel method for parasite detection in microscopic samples. (4)
Novel method for parasite detection in microscopic samples
, Novel method for parasite detection in microscopic samples, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7267 LNAI, 7267 LNAI, 551-558, 2012, Liczba cytowań: 4
Starczewski A., A new hierarchical clustering algorithm. (3)
A new hierarchical clustering algorithm
, A new hierarchical clustering algorithm, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7268 LNAI, 7268 LNAI, 175-180, 2012, Liczba cytowań: 3
Starczewski A., A cluster validity index for hard clustering. (2)
A cluster validity index for hard clustering
, A cluster validity index for hard clustering, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7268 LNAI, 7268 LNAI, 168-174, 2012, Liczba cytowań: 2
Dobosz P., An analytical approach to the image reconstruction problem using em algorithm. (1)
An analytical approach to the image reconstruction problem using em algorithm
, An analytical approach to the image reconstruction problem using em algorithm, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7267 LNAI, 7267 LNAI, 495-500, 2012, Liczba cytowań: 1
Galkowski T., Starczewski A., An application of the self-organizing map to multiple view unsupervised learning. (1)
An application of the self-organizing map to multiple view unsupervised learning
, An application of the self-organizing map to multiple view unsupervised learning, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7268 LNAI, 7268 LNAI, 181-187, 2012, Liczba cytowań: 12010 (8)
Bilski J., Smolag J., Parallel realisation of the recurrent Elman neural network learning. (24)
Parallel realisation of the recurrent Elman neural network learning
, Parallel realisation of the recurrent Elman neural network learning, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6114 LNAI, 6114 LNAI, 19-25, 2010, Liczba cytowań: 24
Starczewski J.T., Bartczuk L., Dziwinski P., Marvuglia A., Learning methods for type-2 FLS based on FCM. (20)
Learning methods for type-2 FLS based on FCM
, Learning methods for type-2 FLS based on FCM, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6113 LNAI, 6113 LNAI, 224-231, 2010, Liczba cytowań: 20
PrzybyL A., Smolag J., Kimla P., Distributed control system based on real time ethernet for computer numerical controlled machine tool. (16)
Distributed control system based on real time ethernet for computer numerical controlled machine tool
, Distributed control system based on real time ethernet for computer numerical controlled machine tool, Przeglad Elektrotechniczny, 86, 86, 342-346, 2010, Liczba cytowań: 16
Bartczuk L., Dziwinski P., Starczewski J.T., New method for generation type-2 fuzzy partition for FDT. (16)
New method for generation type-2 fuzzy partition for FDT
, New method for generation type-2 fuzzy partition for FDT, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6113 LNAI, 6113 LNAI, 275-280, 2010, Liczba cytowań: 16
Dziwinski P., Starczewski J.T., Bartczuk L., New linguistic hedges in construction of interval type-2 FLS. (14)
New linguistic hedges in construction of interval type-2 FLS
, New linguistic hedges in construction of interval type-2 FLS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6114 LNAI, 6114 LNAI, 445-450, 2010, Liczba cytowań: 14
Starczewski J.T., General type-2 FLS with uncertainty generated by fuzzy rough sets. (7)
General type-2 FLS with uncertainty generated by fuzzy rough sets
, General type-2 FLS with uncertainty generated by fuzzy rough sets, 2010 IEEE World Congress on Computational Intelligence, WCCI 2010, 2010, Liczba cytowań: 7
Nowicki R.K., Starczewski J.T., On non-singleton fuzzification with DCOG defuzzification. (7)
On non-singleton fuzzification with DCOG defuzzification
, On non-singleton fuzzification with DCOG defuzzification, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6113 LNAI, 6113 LNAI, 168-174, 2010, Liczba cytowań: 7
Scherer R., Starczewski J.T., Relational type-2 interval fuzzy systems. (3)
Relational type-2 interval fuzzy systems
, Relational type-2 interval fuzzy systems, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6067 LNCS, 6067 LNCS, 360-368, 2010, Liczba cytowań: 32009 (3)
Starczewski J.T., Efficient triangular type-2 fuzzy logic systems. (70)
Efficient triangular type-2 fuzzy logic systems
, Efficient triangular type-2 fuzzy logic systems, International Journal of Approximate Reasoning, 50, 50, 799-811, 2009, Liczba cytowań: 70
Starczewski J.T., Extended triangular norms. (33)
Extended triangular norms
, Extended triangular norms, Information Sciences, 179, 179, 742-757, 2009, Liczba cytowań: 33
Starczewski J.T., A type-1 approximation of interval type-2 FLS. (7)
A type-1 approximation of interval type-2 FLS
, A type-1 approximation of interval type-2 FLS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 5571 LNAI, 5571 LNAI, 287-294, 2009, Liczba cytowań: 72008 (5)
Bilski J., Smolag J., Parallel realisation of the recurrent RTRN neural network learning. (27)
Parallel realisation of the recurrent RTRN neural network learning
, Parallel realisation of the recurrent RTRN neural network learning, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 5097 LNAI, 5097 LNAI, 11-16, 2008, Liczba cytowań: 27
Starczewski J., Scherer R., Korytkowski M., Nowicki R., Modular type-2 neuro-fuzzy systems. (20)
Modular type-2 neuro-fuzzy systems
, Modular type-2 neuro-fuzzy systems, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 4967 LNCS, 4967 LNCS, 570-578, 2008, Liczba cytowań: 20
Dziwinski P., Rutkowska D., Ant focused crawling algorithm. (14)
Ant focused crawling algorithm
, Ant focused crawling algorithm, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 5097 LNAI, 5097 LNAI, 1018-1028, 2008, Liczba cytowań: 14
Starczewski J.T., On defuzzification of interval type-2 fuzzy sets. (11)
On defuzzification of interval type-2 fuzzy sets
, On defuzzification of interval type-2 fuzzy sets, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 5097 LNAI, 5097 LNAI, 333-340, 2008, Liczba cytowań: 11
Starczewski A., A new approach to creating multisegment fuzzy systems. (1)
A new approach to creating multisegment fuzzy systems
, A new approach to creating multisegment fuzzy systems, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 5097 LNAI, 5097 LNAI, 324-332, 2008, Liczba cytowań: 12006 (2)
Starczewski J.T., A triangular type-2 fuzzy logic system. (19)
A triangular type-2 fuzzy logic system
, A triangular type-2 fuzzy logic system, IEEE International Conference on Fuzzy Systems, 1460-1467, 2006, Liczba cytowań: 19
Dziwinski P., Rutkowska D., Algorithm for generating fuzzy rules for WWW document classification. (17)
Algorithm for generating fuzzy rules for WWW document classification
, Algorithm for generating fuzzy rules for WWW document classification, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 4029 LNAI, 4029 LNAI, 1111-1119, 2006, Liczba cytowań: 172005 (1)
Starczewski J.T., Extended triangular norms on gaussian fuzzy sets. (21)
Extended triangular norms on gaussian fuzzy sets
, Extended triangular norms on gaussian fuzzy sets, Proceedings - 4th Conference of the European Society for Fuzzy Logic and Technology and 11th French Days on Fuzzy Logic and Applications, EUSFLAT-LFA 2005 Joint Conference, 872-877, 2005, Liczba cytowań: 212004 (4)
Bilski J., Litwinski S., Smolag J., Parallel realisation of QR algorithm for neural networks learning. (20)
Parallel realisation of QR algorithm for neural networks learning
, Parallel realisation of QR algorithm for neural networks learning, Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 3070, 3070, 158-165, 2004, Liczba cytowań: 20
Starczewski J.T., What differs interval type-2 FLS from type-1 FLS?. (7)
What differs interval type-2 FLS from type-1 FLS?
, What differs interval type-2 FLS from type-1 FLS?, Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 3070, 3070, 381-387, 2004, Liczba cytowań: 7
Scherer R., Starczewski J., Gaweda A., New methods for uncertainty representations in neuro-fuzzy systems. (4)
New methods for uncertainty representations in neuro-fuzzy systems
, New methods for uncertainty representations in neuro-fuzzy systems, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3019, 3019, 659-667, 2004, Liczba cytowań: 4
Bilski J., Smolag J., Zurada J., Systolic architectures for soft computing algorithms. (0)
Systolic architectures for soft computing algorithms
, Systolic architectures for soft computing algorithms, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3019, 3019, 601-608, 2004, Liczba cytowań: 02002 (1)
Starczewski J., Rutkowski L., Connectionist structures of type 2 fuzzy inference systems. (62)