Leszek Rutkowski
Orcid: 0000-0001-6960-9525
According to our database1,
Leszek Rutkowski
authored at least 169 papers
between 1982 and 2024.
Collaborative distances:
Collaborative distances:
Awards
IEEE Fellow
IEEE Fellow 2005, "For contributions to neurocomputing and flexible fuzzy systems.".
Timeline
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Online presence:
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Bibliography
2024
IEEE Trans. Mob. Comput., April, 2024
IEEE Trans. Ind. Informatics, March, 2024
A Second-Order Primal-Dual Dynamics for Set Constrained Distributed Optimization Problems.
IEEE Trans. Circuits Syst. II Express Briefs, March, 2024
Set Stabilization of Large-Scale Stochastic Boolean Networks: A Distributed Control Strategy.
IEEE CAA J. Autom. Sinica, March, 2024
Distributed Saturated Impulsive Control for Local Consensus of Nonlinear Time-Delay Multiagent Systems With Switching Topologies.
IEEE Trans. Autom. Control., February, 2024
A multi-model approach to the development of algorithmic trading systems for the Forex market.
Expert Syst. Appl., February, 2024
Circuit Implementation and Quasi-Stabilization of Delayed Inertial Memristor-Based Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., January, 2024
Event-triggered impulsive quasi-synchronization for BAM neural networks with reliable redundant channel.
Neural Networks, January, 2024
2023
Fuzzy $\mathcal {H}_{\infty }$ Control of Semi-Markov Jump Singularly Perturbed Nonlinear Systems With Partial Information and Actuator Saturation.
IEEE Trans. Fuzzy Syst., December, 2023
IEEE Trans. Autom. Control., December, 2023
Toward domain adaptation with open-set target data: Review of theory and computer vision applications.
Inf. Fusion, December, 2023
Asynchronous Fault Detection for Memristive Neural Networks With Dwell-Time-Based Communication Protocol.
IEEE Trans. Neural Networks Learn. Syst., November, 2023
Fuzzy H<sub>∞</sub> Control of Discrete-Time Nonlinear Markov Jump Systems via a Novel Hybrid Reinforcement Q-Learning Method.
IEEE Trans. Cybern., November, 2023
Inf. Sci., November, 2023
A currency trading system based on simplified models using fuzzy multi-criteria hierarchical optimization.
Appl. Soft Comput., November, 2023
IEEE Trans. Autom. Control., October, 2023
Cryptographic Algorithms with Data Shorter than the Encryption Key, Based on LZW and Huffman Coding.
Sensors, September, 2023
Neural Networks, August, 2023
Special issue on deep interpretation of deep learning: prediction, representation, modeling and utilization.
Neural Comput. Appl., May, 2023
Variable-order fractional derivative rutting depth prediction of asphalt pavement based on the RIOHTrack full-scale track.
Sci. China Inf. Sci., May, 2023
Stabilization of Markovian Jump Boolean Control Networks via Event-Triggered Control.
IEEE Trans. Autom. Control., February, 2023
A Decentralized Learning Control Scheme for Constrained Nonlinear Interconnected Systems Based on Dynamic Event-Triggered Mechanism.
IEEE Trans. Syst. Man Cybern. Syst., 2023
InDecGAN: Learning to Generate Complex Images From Captions via Independent Object-Level Decomposition and Enhancement.
IEEE Trans. Multim., 2023
The <i>L</i><sub>2</sub> convergence of stream data mining algorithms based on probabilistic neural networks.
Inf. Sci., 2023
CoRR, 2023
Proceedings of the IEEE International Conference on Data Mining, 2023
Proceedings of the Computational Collective Intelligence - 15th International Conference, 2023
The Analysis of Optimizers in Training Artificial Neural Networks Using the Streaming Approach.
Proceedings of the Artificial Intelligence and Soft Computing, 2023
2022
IEEE Trans. Netw. Sci. Eng., 2022
IEEE Trans. Netw. Sci. Eng., 2022
Event-Triggered Finite-Time Guaranteed Cost H-Infinity Consensus for Nonlinear Uncertain Multi-Agent Systems.
IEEE Trans. Netw. Sci. Eng., 2022
IEEE Trans. Netw. Sci. Eng., 2022
Finite-Time Synchronization of Complex-Valued Memristive-Based Neural Networks via Hybrid Control.
IEEE Trans. Neural Networks Learn. Syst., 2022
A New Approach to Descriptors Generation for Image Retrieval by Analyzing Activations of Deep Neural Network Layers.
IEEE Trans. Neural Networks Learn. Syst., 2022
Synchronization of Neural Networks via Periodic Self-Triggered Impulsive Control and Its Application in Image Encryption.
IEEE Trans. Cybern., 2022
Robust Composite H<sub>∞</sub> Synchronization of Markov Jump Reaction-Diffusion Neural Networks via a Disturbance Observer-Based Method.
IEEE Trans. Cybern., 2022
Event-Triggering Interaction Scheme for Discrete-Time Decentralized Optimization With Nonuniform Step Sizes.
IEEE Trans. Cybern., 2022
General Decay Stability for Nonautonomous Neutral Stochastic Systems With Time-Varying Delays and Markovian Switching.
IEEE Trans. Cybern., 2022
IEEE Trans. Cybern., 2022
Event-Triggered Synchronization of Multiple Discrete-Time Markovian Jump Memristor- Based Neural Networks With Mixed Mode-Dependent Delays.
IEEE Trans. Circuits Syst. I Regul. Pap., 2022
J. Comput. Sci., 2022
Int. J. Artif. Intell. Tools, 2022
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
A Multi-population-Based Algorithm with Different Ways of Subpopulations Cooperation.
Proceedings of the Artificial Intelligence and Soft Computing, 2022
2021
Optimal Control on Finite-Time Consensus of the Leader-Following Stochastic Multiagent System With Heuristic Method.
IEEE Trans. Syst. Man Cybern. Syst., 2021
Sliding-Mode Control for Slow-Sampling Singularly Perturbed Systems Subject to Markov Jump Parameters.
IEEE Trans. Syst. Man Cybern. Syst., 2021
Event-Triggered Control for Output Regulation of Probabilistic Logical Systems With Delays.
IEEE Trans. Syst. Man Cybern. Syst., 2021
Synchronization of Switched Discrete-Time Neural Networks via Quantized Output Control With Actuator Fault.
IEEE Trans. Neural Networks Learn. Syst., 2021
IEEE Trans. Cybern., 2021
Distributed Dynamic Self-Triggered Impulsive Control for Consensus Networks: The Case of Impulse Gain With Normal Distribution.
IEEE Trans. Cybern., 2021
Dynamical and static multisynchronization analysis for coupled multistable memristive neural networks with hybrid control.
Neural Networks, 2021
Inf. Sci., 2021
A diversified shared latent variable model for efficient image characteristics extraction and modelling.
Neurocomputing, 2021
Monitoring of Changes in Data Stream Distribution Using Convolutional Restricted Boltzmann Machines.
Proceedings of the Artificial Intelligence and Soft Computing, 2021
Proceedings of the Artificial Intelligence and Soft Computing, 2021
2020
Distributed Dynamic Self-Triggered Control for Uncertain Complex Networks With Markov Switching Topologies and Random Time-Varying Delay.
IEEE Trans. Netw. Sci. Eng., 2020
Synchronization of Coupled Time-Delay Neural Networks With Mode-Dependent Average Dwell Time Switching.
IEEE Trans. Neural Networks Learn. Syst., 2020
Constrained Quaternion-Variable Convex Optimization: A Quaternion-Valued Recurrent Neural Network Approach.
IEEE Trans. Neural Networks Learn. Syst., 2020
IEEE Trans. Neural Networks Learn. Syst., 2020
Anti-Synchronization in Fixed Time for Discontinuous Reaction-Diffusion Neural Networks With Time-Varying Coefficients and Time Delay.
IEEE Trans. Cybern., 2020
On the Parzen Kernel-Based Probability Density Function Learning Procedures Over Time-Varying Streaming Data With Applications to Pattern Classification.
IEEE Trans. Cybern., 2020
Sampled-Data Set Stabilization of Impulsive Boolean Networks Based on a Hybrid Index Model.
IEEE Trans. Control. Netw. Syst., 2020
Lyapunov Functions for the Set Stability and the Synchronization of Boolean Control Networks.
IEEE Trans. Circuits Syst., 2020
IEEE Trans. Circuits Syst. I Regul. Pap., 2020
Event-triggered impulsive synchronization of discrete-time coupled neural networks with stochastic perturbations and multiple delays.
Neural Networks, 2020
Frontiers Inf. Technol. Electron. Eng., 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the Artificial Intelligence and Soft Computing, 2020
Proceedings of the Artificial Intelligence and Soft Computing, 2020
Proceedings of the Artificial Intelligence and Soft Computing, 2020
2019
Exponential Stabilization for Hybrid Recurrent Neural Networks by Delayed Noises Rooted in Discrete Observations of State and Mode.
Neural Process. Lett., 2019
Corrigendum to 'How to adjust an ensemble size in stream data mining?' Information Sciences, vol. 381 (2017), pp. 46-54.
Inf. Sci., 2019
On the Hermite Series-Based Generalized Regression Neural Networks for Stream Data Mining.
Proceedings of the Neural Information Processing - 26th International Conference, 2019
On Handling Missing Values in Data Stream Mining Algorithms Based on the Restricted Boltzmann Machine.
Proceedings of the Neural Information Processing - 26th International Conference, 2019
Proceedings of the Artificial Intelligence and Soft Computing, 2019
Microscopic Sample Segmentation by Fully Convolutional Network for Parasite Detection.
Proceedings of the Artificial Intelligence and Soft Computing, 2019
Proceedings of the Artificial Intelligence and Soft Computing, 2019
2018
IEEE Trans. Neural Networks Learn. Syst., 2018
Knowledge discovery in data streams with the orthogonal series-based generalized regression neural networks.
Inf. Sci., 2018
Convergent Time-Varying Regression Models for Data Streams: Tracking Concept Drift by the Recursive Parzen-Based Generalized Regression Neural Networks.
Int. J. Neural Syst., 2018
Proceedings of the Advances in Neural Networks - ISNN 2018, 2018
Concept Drift Detection in Streams of Labelled Data Using the Restricted Boltzmann Machine.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
On the Global Convergence of the Parzen-Based Generalized Regression Neural Networks Applied to Streaming Data.
Proceedings of the Artificial Intelligence and Soft Computing, 2018
Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018
Proceedings of the Advances in Data Analysis with Computational Intelligence Methods, 2018
Proceedings of the Advances in Data Analysis with Computational Intelligence Methods, 2018
2017
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017
On ensemble components selection in data streams scenario with reoccurring concept-drift.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017
Proceedings of the 22nd International Conference on Methods and Models in Automation and Robotics, 2017
Heuristic Regression Function Estimation Methods for Data Streams with Concept Drift.
Proceedings of the Artificial Intelligence and Soft Computing, 2017
2016
A new algorithm for identity verification based on the analysis of a handwritten dynamic signature.
Appl. Soft Comput., 2016
Proceedings of the 21st International Conference on Methods and Models in Automation and Robotics, 2016
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Proceedings of the Artificial Intelligence and Soft Computing, 2016
2015
IEEE Trans. Neural Networks Learn. Syst., 2015
Proceedings of the Artificial Intelligence and Soft Computing, 2015
Proceedings of the Artificial Intelligence and Soft Computing, 2015
2014
IEEE Trans. Knowl. Data Eng., 2014
Pattern Recognit., 2014
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
A novel application of Hoeffding's inequality to decision trees construction for data streams.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
2013
IEEE Trans. Knowl. Data Eng., 2013
Int. J. Gen. Syst., 2013
On a Splitting Criterion for Decision Trees in Data Streams.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2013
Proceedings of the Artificial Intelligence and Soft Computing, 2013
2012
Novel Online Speed Profile Generation for Industrial Machine Tool Based on Flexible Neuro-Fuzzy Approximation.
IEEE Trans. Ind. Electron., 2012
Proceedings of the Artificial Intelligence and Soft Computing, 2012
Application of Neural Networks in Assessing Changes around Implant after Total Hip Arthroplasty.
Proceedings of the Artificial Intelligence and Soft Computing, 2012
2011
Proceedings of the Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, 2011
Proceedings of the Computational Collective Intelligence. Technologies and Applications, 2011
Proceedings of the 2011 IEEE Workshop On Hybrid Intelligent Models And Applications, 2011
2010
Int. J. Neural Syst., 2010
Proceedings of the International Joint Conference on Neural Networks, 2010
Online Speed Profile Generation for Industrial Machine Tool Based on Neuro-fuzzy Approach.
Proceedings of the Artifical Intelligence and Soft Computing, 2010
Proceedings of the Artificial Intelligence and Soft Computing, 2010
Proceedings of the Artifical Intelligence and Soft Computing, 2010
Fault Diagnosis of an Air-Handling Unit System Using a Dynamic Fuzzy-Neural Approach.
Proceedings of the Artificial Intelligence and Soft Computing, 2010
An Efficient Adaptive Fuzzy Neural Network (EAFNN) Approach for Short Term Load Forecasting.
Proceedings of the Artificial Intelligence and Soft Computing, 2010
Proceedings of the Artificial Intelligence and Soft Computing, 2010
Proceedings of the FUZZ-IEEE 2010, 2010
2009
Proceedings of the Encyclopedia of Complexity and Systems Science, 2009
A New Method for Complexity Reduction of Neuro-fuzzy Systems with Application to Differential Stroke Diagnosis.
Proceedings of the Artificial Neural Networks, 2009
2008
On Speeding Up the Learning Process of Neuro-fuzzy Ensembles Generated by the Adaboost Algorithm.
Proceedings of the Computer Recognition Systems 2, 2008
Proceedings of the Artificial Intelligence and Soft Computing, 2008
Proceedings of the Artificial Intelligence and Soft Computing, 2008
Evolutionary Methods for Designing Neuro-fuzzy Modular Systems Combined by Bagging Algorithm.
Proceedings of the Artificial Intelligence and Soft Computing, 2008
Proceedings of the Artificial Intelligence and Soft Computing, 2008
An Application of Weighted Triangular Norms to Complexity Reduction of Neuro-fuzzy Systems.
Proceedings of the Artificial Intelligence and Soft Computing, 2008
Proceedings of the FUZZ-IEEE 2008, 2008
Proceedings of the FUZZ-IEEE 2008, 2008
Proceedings of the 7th International Conference on Computer Information Systems and Industrial Management Applications, 2008
Computational intelligence - methods and techniques.
Springer, 2008
2007
Proceedings of the Parallel Processing and Applied Mathematics, 2007
Proceedings of the IEEE Symposium on Foundations of Computational Intelligence, 2007
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2007
2006
Proceedings of the International Joint Conference on Neural Networks, 2006
Proceedings of the Artificial Intelligence and Soft Computing, 2006
Proceedings of the Artificial Intelligence and Soft Computing, 2006
Proceedings of the IEEE International Conference on Fuzzy Systems, 2006
Proceedings of the IEEE International Conference on Fuzzy Systems, 2006
2005
Proceedings of the Computational Intelligence for Modelling and Prediction, 2005
Designing and learning of adjustable quasi-triangular norms with applications to neuro-fuzzy systems.
IEEE Trans. Fuzzy Syst., 2005
2004
Adaptive probabilistic neural networks for pattern classification in time-varying environment.
IEEE Trans. Neural Networks, 2004
IEEE Trans. Neural Networks, 2004
Proceedings of the Artificial Intelligence and Soft Computing, 2004
Proceedings of the Artificial Intelligence and Soft Computing, 2004
Proceedings of the IEEE International Conference on Fuzzy Systems, 2004
2003
2002
Neuro-Fuzzy Inference Systems of Type 2.
Proceedings of the FSDK'02, 2002
Neuro-Fuzzy Relational Systems.
Proceedings of the FSDK'02, 2002
Rough-Neuro-Fuzzy System for Classification.
Proceedings of the FSDK'02, 2002
2001
Proceedings of the Parallel Processing and Applied Mathematics, 2001
Proceedings of the 10th IEEE International Conference on Fuzzy Systems, 2001
2000
Signal Process. Image Commun., 2000
1999
On Processing of Noisy Data by Fuzzy Inference Neural Networks.
Proceedings of the Signal and Image Processing (SIP), 1999
1996
Neural networks and semi-closed-loop predictive vector quantization for image compression.
Proceedings of the Proceedings 1996 International Conference on Image Processing, 1996
1993
Multiple Fourier series procedures for extraction of nonlinear regressions from noisy data.
IEEE Trans. Signal Process., 1993
1991
Identification of MISO nonlinear regressions in the presence of a wide class of disturbances.
IEEE Trans. Inf. Theory, 1991
1988
Pattern Recognit. Lett., 1988
1985
Nonparametric recovery of multivariate functions with applications to system identification.
Proc. IEEE, 1985
1982
On Bayes Risk Consistent Pattern Recognition Procedures in a Quasi-Stationary Environment.
IEEE Trans. Pattern Anal. Mach. Intell., 1982