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2020 – today
- 2024
[j98]Danuta Rutkowska, Piotr Duda, Jinde Cao, Maciej Jaworski
, Marek Kisiel-Dorohinicki, Dacheng Tao, Leszek Rutkowski:
Probabilistic neural networks for incremental learning over time-varying streaming data with application to air pollution monitoring. Appl. Soft Comput. 161: 111702 (2024)- [j97]Shi Dong, Junxiao Tang, Khushnood Abbas, Ruizhe Hou, Joarder Kamruzzaman, Leszek Rutkowski, Rajkumar Buyya:
Task offloading strategies for mobile edge computing: A survey. Comput. Networks 254: 110791 (2024) - [j96]Pavel V. Sevastjanov, Krzysztof Kaczmarek, Leszek Rutkowski:
A multi-model approach to the development of algorithmic trading systems for the Forex market. Expert Syst. Appl. 236: 121310 (2024) - [j95]Lin Lin, Jinde Cao, Jianquan Lu, Leszek Rutkowski:
Set Stabilization of Large-Scale Stochastic Boolean Networks: A Distributed Control Strategy. IEEE CAA J. Autom. Sinica 11(3): 806-808 (2024) - [j94]Yawen Ju, Min Xiao, Chengdai Huang, Leszek Rutkowski, Jinde Cao:
Hybrid control of Turing instability and bifurcation for spatial-temporal propagation of computer virus. Int. J. Syst. Sci. 55(11): 2187-2210 (2024) - [j93]Piotr Duda, Mateusz Wojtulewicz, Leszek Rutkowski:
Accelerating deep neural network learning using data stream methodology. Inf. Sci. 669: 120575 (2024) - [j92]Grazyna Starzec, Mateusz Starzec, Leszek Rutkowski, Marek Kisiel-Dorohinicki, Aleksander Byrski:
Ant colony optimization using two-dimensional pheromone for single-objective transport problems. J. Comput. Sci. 79: 102308 (2024) - [j91]Yumei Zhou, Weijun Lv, Jie Tao, Yong Xu, Tingwen Huang, Leszek Rutkowski:
Event-triggered impulsive quasi-synchronization for BAM neural networks with reliable redundant channel. Neural Networks 169: 485-495 (2024) - [j90]Xiaoxiao Lv, Jinde Cao, Leszek Rutkowski, Peiyong Duan:
Distributed Saturated Impulsive Control for Local Consensus of Nonlinear Time-Delay Multiagent Systems With Switching Topologies. IEEE Trans. Autom. Control. 69(2): 771-782 (2024) - [j89]Lin Lin, Jinde Cao, James Lam, Shiyong Zhu, Shun-ichi Azuma, Leszek Rutkowski:
Leader-Follower Consensus Over Finite Fields. IEEE Trans. Autom. Control. 69(7): 4718-4725 (2024) - [j88]Lin Lin, Jinde Cao, James Lam, Leszek Rutkowski, Georgi Marko Dimirovski, Shiyong Zhu:
A Bisimulation-Based Foundation for Scale Reductions of Continuous-Time Markov Chains. IEEE Trans. Autom. Control. 69(9): 5743-5758 (2024) - [j87]Jiajin He, Min Xiao, Haoming He, Zhen Wang, Wei Xing Zheng, Leszek Rutkowski:
Facilitating and Determining Turing Patterns in 3-D Memristor Cellular Neural Networks. IEEE Trans. Circuits Syst. I Regul. Pap. 71(9): 4131-4144 (2024) - [j86]Meng Tao, Luyao Guo, Jinde Cao, Leszek Rutkowski:
A Second-Order Primal-Dual Dynamics for Set Constrained Distributed Optimization Problems. IEEE Trans. Circuits Syst. II Express Briefs 71(3): 1316-1320 (2024) - [j85]Fanchao Kong, Jinde Cao, Leszek Rutkowski, Yanyan Zhang:
Finite-Time Control of Fuzzy Competitive Networks via Comparison Method and Bounded Control. IEEE Trans. Fuzzy Syst. 32(5): 3059-3070 (2024) - [j84]Zenghong Huang, Weijun Lv, Chang Liu, Yong Xu, Leszek Rutkowski, Tingwen Huang:
Event-Triggered Distributed Moving Horizon Estimation Over Wireless Sensor Networks. IEEE Trans. Ind. Informatics 20(3): 4218-4226 (2024) - [j83]Saiyu Qi, Wei Wei, Jianfeng Wang, Shifeng Sun, Leszek Rutkowski, Tingwen Huang, Janusz Kacprzyk, Yong Qi:
Secure Data Deduplication With Dynamic Access Control for Mobile Cloud Storage. IEEE Trans. Mob. Comput. 23(4): 2566-2582 (2024) - [j82]Youming Xin, Zunshui Cheng, Jinde Cao, Leszek Rutkowski, Yaning Wang:
Circuit Implementation and Quasi-Stabilization of Delayed Inertial Memristor-Based Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 35(1): 1394-1400 (2024) - 2023
- [j81]Pavel V. Sevastjanov, Krzysztof Kaczmarek, Leszek Rutkowski:
A currency trading system based on simplified models using fuzzy multi-criteria hierarchical optimization. Appl. Soft Comput. 147: 110747 (2023) - [j80]Yu Wang, Jiaojiao Yan, Wei Huang, Leszek Rutkowski, Jinde Cao:
Variable-order fractional derivative rutting depth prediction of asphalt pavement based on the RIOHTrack full-scale track. Sci. China Inf. Sci. 66(5) (2023) - [j79]Ivan Laktionov, Leszek Rutkowski, Oleksandr Vovna, Aleksander Byrski, Maryna Kabanets:
A novel approach to intelligent monitoring of gas composition and light mode of greenhouse crop growing zone on the basis of fuzzy modelling and human-in-the-loop techniques. Eng. Appl. Artif. Intell. 126: 106938 (2023) - [j78]Reyhane Ghaffari, Mohammad Sadegh Helfroush, Abbas Khosravi, Kamran Kazemi, Habibollah Danyali, Leszek Rutkowski:
Toward domain adaptation with open-set target data: Review of theory and computer vision applications. Inf. Fusion 100: 101912 (2023) - [j77]Danuta Rutkowska, Piotr Duda, Jinde Cao, Leszek Rutkowski, Aleksander Byrski, Maciej Jaworski, Dacheng Tao:
The L2 convergence of stream data mining algorithms based on probabilistic neural networks. Inf. Sci. 631: 346-368 (2023) - [j76]Wanjie Zhu, Jinde Cao, Xinli Shi, Leszek Rutkowski:
Leader-following consensus of finite-field networks with time-delays. Inf. Sci. 647: 119486 (2023) - [j75]Aleksandra Urbanczyk, Piotr Kipinski, Mateusz Nabywaniec, Leszek Rutkowski, Siang Yew Chong, Xin Yao, Krzysztof Boryczko, Aleksander Byrski:
Socio-cognitive caste-based optimization. J. Comput. Sci. 72: 102098 (2023) - [j74]Nian Zhang, Jian Wang, Leszek Rutkowski:
Special issue on deep interpretation of deep learning: prediction, representation, modeling and utilization. Neural Comput. Appl. 35(14): 9947-9949 (2023) - [j73]Huimin Guan, Yang Liu, Kit Ian Kou, Jinde Cao, Leszek Rutkowski:
Collaborative neurodynamic optimization for solving nonlinear equations. Neural Networks 165: 483-490 (2023) - [j72]Tomasz Krokosz, Jarogniew Rykowski, Malgorzata Zajecka, Robert Brzoza-Woch, Leszek Rutkowski:
Cryptographic Algorithms with Data Shorter than the Encryption Key, Based on LZW and Huffman Coding. Sensors 23(17): 7408 (2023) - [j71]Bingquan Chen, Jinde Cao, Guoping Lu, Leszek Rutkowski:
Stabilization of Markovian Jump Boolean Control Networks via Event-Triggered Control. IEEE Trans. Autom. Control. 68(2): 1215-1222 (2023) - [j70]Hao Shen, Yigang Zhang, Jing Wang, Jinde Cao, Leszek Rutkowski:
Observer-Based Control for Discrete-Time Hidden Semi-Markov Jump Systems. IEEE Trans. Autom. Control. 68(10): 6255-6261 (2023) - [j69]Shiyong Zhu, Jinde Cao, Lin Lin, Leszek Rutkowski, Jianquan Lu, Guoping Lu:
Observability and Detectability of Stochastic Labeled Graphs. IEEE Trans. Autom. Control. 68(12): 7299-7311 (2023) - [j68]Jing Wang, Jiacheng Wu, Hao Shen, Jinde Cao, Leszek Rutkowski:
Fuzzy H∞ Control of Discrete-Time Nonlinear Markov Jump Systems via a Novel Hybrid Reinforcement Q-Learning Method. IEEE Trans. Cybern. 53(11): 7380-7391 (2023) - [j67]Jing Wang, Zongjie Chen, Hao Shen, Jinde Cao, Leszek Rutkowski:
Fuzzy $\mathcal {H}_{\infty }$ Control of Semi-Markov Jump Singularly Perturbed Nonlinear Systems With Partial Information and Actuator Saturation. IEEE Trans. Fuzzy Syst. 31(12): 4374-4384 (2023) - [j66]Jun Cheng, Fuxiang Wu, Liu Liu, Qieshi Zhang, Leszek Rutkowski, Dacheng Tao:
InDecGAN: Learning to Generate Complex Images From Captions via Independent Object-Level Decomposition and Enhancement. IEEE Trans. Multim. 25: 8279-8293 (2023) - [j65]An Lin, Jun Cheng, Leszek Rutkowski, Shiping Wen, Mengzhuo Luo, Jinde Cao:
Asynchronous Fault Detection for Memristive Neural Networks With Dwell-Time-Based Communication Protocol. IEEE Trans. Neural Networks Learn. Syst. 34(11): 9004-9015 (2023) - [j64]Jing Wang, Jiacheng Wu, Hao Shen, Jinde Cao, Leszek Rutkowski:
A Decentralized Learning Control Scheme for Constrained Nonlinear Interconnected Systems Based on Dynamic Event-Triggered Mechanism. IEEE Trans. Syst. Man Cybern. Syst. 53(8): 4934-4943 (2023) - [c75]Piotr Duda, Mateusz Wojtulewicz, Leszek Rutkowski:
The Analysis of Optimizers in Training Artificial Neural Networks Using the Streaming Approach. ICAISC (1) 2023: 46-55 - [c74]Grazyna Starzec, Mateusz Starzec, Sanghamitra Bandyopadhyay, Ujjwal Maulik, Leszek Rutkowski, Marek Kisiel-Dorohinicki, Aleksander Byrski:
Two-Dimensional Pheromone in Ant Colony Optimization. ICCCI 2023: 459-471 - [c73]Xindong Wu, Xingquan Zhu, Elena Baralis, Ruqian Lu, Vipin Kumar, Leszek Rutkowski, Jie Tang:
On Computing Paradigms - Where Will Large Language Models Be Going. ICDM 2023: 1577-1582 - [e32]Leszek Rutkowski, Rafal Scherer, Marcin Korytkowski, Witold Pedrycz, Ryszard Tadeusiewicz, Jacek M. Zurada:
Artificial Intelligence and Soft Computing - 21st International Conference, ICAISC 2022, Zakopane, Poland, June 19-23, 2022, Proceedings, Part I. Lecture Notes in Computer Science 13588, Springer 2023, ISBN 978-3-031-23491-0 [contents] - [e31]Leszek Rutkowski, Rafal Scherer, Marcin Korytkowski, Witold Pedrycz, Ryszard Tadeusiewicz, Jacek M. Zurada:
Artificial Intelligence and Soft Computing - 21st International Conference, ICAISC 2022, Zakopane, Poland, June 19-23, 2022, Proceedings, Part II. Lecture Notes in Computer Science 13589, Springer 2023, ISBN 978-3-031-23479-8 [contents] - [e30]Leszek Rutkowski, Rafal Scherer, Marcin Korytkowski, Witold Pedrycz, Ryszard Tadeusiewicz, Jacek M. Zurada:
Artificial Intelligence and Soft Computing - 22nd International Conference, ICAISC 2023, Zakopane, Poland, June 18-22, 2023, Proceedings, Part I. Lecture Notes in Computer Science 14125, Springer 2023, ISBN 978-3-031-42504-2 [contents] - [e29]Leszek Rutkowski, Rafal Scherer, Marcin Korytkowski, Witold Pedrycz, Ryszard Tadeusiewicz, Jacek M. Zurada:
Artificial Intelligence and Soft Computing - 22nd International Conference, ICAISC 2023, Zakopane, Poland, June 18-22, 2023, Proceedings, Part II. Lecture Notes in Computer Science 14126, Springer 2023, ISBN 978-3-031-42507-3 [contents] - [i7]Guanpu Chen, Gehui Xu, Fengxiang He, Yiguang Hong, Leszek Rutkowski, Dacheng Tao:
Global Nash Equilibrium in Non-convex Multi-player Game: Theory and Algorithms. CoRR abs/2301.08015 (2023) - 2022
- [j63]Nian Zhang, Jian Wang, Leszek Rutkowski:
Editorial: Special Issue on Reliable Machine Learning and Optimization. Int. J. Artif. Intell. Tools 31(6): 2202006:1-2202006:3 (2022) - [j62]Mateusz Godzik, Jacek Dajda, Marek Kisiel-Dorohinicki, Aleksander Byrski, Leszek Rutkowski, Patryk Orzechowski, Joost B. Wagenaar, Jason H. Moore:
Applying autonomous hybrid agent-based computing to difficult optimization problems. J. Comput. Sci. 64: 101858 (2022) - [j61]Huiyuan Li, Jian-An Fang, Xiaofan Li, Leszek Rutkowski, Tingwen Huang:
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. 69(5): 2095-2107 (2022) - [j60]Yuming Feng, Wei Zhang, Jiang Xiong, Huaqing Li, Leszek Rutkowski:
Event-Triggering Interaction Scheme for Discrete-Time Decentralized Optimization With Nonuniform Step Sizes. IEEE Trans. Cybern. 52(2): 748-757 (2022) - [j59]Lichao Feng, Lei Liu, Jinde Cao, Leszek Rutkowski, Guoping Lu:
General Decay Stability for Nonautonomous Neutral Stochastic Systems With Time-Varying Delays and Markovian Switching. IEEE Trans. Cybern. 52(6): 5441-5453 (2022) - [j58]Xuegang Tan, Changcheng Xiang, Jinde Cao, Wenying Xu, Guanghui Wen, Leszek Rutkowski:
Synchronization of Neural Networks via Periodic Self-Triggered Impulsive Control and Its Application in Image Encryption. IEEE Trans. Cybern. 52(8): 8246-8257 (2022) - [j57]Bingquan Chen, Jinde Cao, Guoping Lu, Leszek Rutkowski:
Stabilization of Markovian Jump Boolean Control Networks via Sampled-Data Control. IEEE Trans. Cybern. 52(10): 10290-10301 (2022) - [j56]Hao Shen, Xuelian Wang, Jing Wang, Jinde Cao, Leszek Rutkowski:
Robust Composite H∞ Synchronization of Markov Jump Reaction-Diffusion Neural Networks via a Disturbance Observer-Based Method. IEEE Trans. Cybern. 52(12): 12712-12721 (2022) - [j55]Tianhu Yu, Jinde Cao, Leszek Rutkowski, Yi-Ping Luo:
Finite-Time Synchronization of Complex-Valued Memristive-Based Neural Networks via Hybrid Control. IEEE Trans. Neural Networks Learn. Syst. 33(8): 3938-3947 (2022) - [j54]Pawel Staszewski, Maciej Jaworski, Jinde Cao, Leszek Rutkowski:
A New Approach to Descriptors Generation for Image Retrieval by Analyzing Activations of Deep Neural Network Layers. IEEE Trans. Neural Networks Learn. Syst. 33(12): 7913-7920 (2022) - [j53]Wanjie Zhu, Jinde Cao, Xinli Shi, Leszek Rutkowski:
Synchronization of Finite-Field Networks With Time Delays. IEEE Trans. Netw. Sci. Eng. 9(2): 347-355 (2022) - [j52]Yuwen Song, Jinde Cao, Leszek Rutkowski:
A Fixed-Time Distributed Optimization Algorithm Based on Event-Triggered Strategy. IEEE Trans. Netw. Sci. Eng. 9(3): 1154-1162 (2022) - [j51]Yiping Luo, Wanling Zhu, Jinde Cao, Leszek Rutkowski:
Event-Triggered Finite-Time Guaranteed Cost H-Infinity Consensus for Nonlinear Uncertain Multi-Agent Systems. IEEE Trans. Netw. Sci. Eng. 9(3): 1527-1539 (2022) - [j50]Zhen Li, Yang Tang, Yongqing Fan, Tingwen Huang, Leszek Rutkowski:
Formation Control of Multi-Agent Systems With Constrained Mismatched Compasses. IEEE Trans. Netw. Sci. Eng. 9(4): 2224-2236 (2022) - [c72]Krzysztof Cpalka, Krystian Lapa, Leszek Rutkowski:
A Multi-population-Based Algorithm with Different Ways of Subpopulations Cooperation. ICAISC (1) 2022: 205-218 - [c71]Rafal Grycuk, Tomasz Galkowski, Rafal Scherer, Leszek Rutkowski:
A Novel Method for Solar Image Retrieval Based on the Parzen Kernel Estimate of the Function Derivative and Convolutional Autoencoder. IJCNN 2022: 1-7 - [i6]Mateusz Godzik, Jacek Dajda, Marek Kisiel-Dorohinicki, Aleksander Byrski, Leszek Rutkowski, Patryk Orzechowski, Joost B. Wagenaar, Jason H. Moore:
Applying Autonomous Hybrid Agent-based Computing to Difficult Optimization Problems. CoRR abs/2210.13205 (2022) - 2021
- [j49]Hao Xiong, Yuan Yan Tang, Fionn Murtagh, Leszek Rutkowski, Shlomo Berkovsky:
A diversified shared latent variable model for efficient image characteristics extraction and modelling. Neurocomputing 421: 244-259 (2021) - [j48]Jaroslaw Bilski, Leszek Rutkowski, Jacek Smolag, Dacheng Tao:
A novel method for speed training acceleration of recurrent neural networks. Inf. Sci. 553: 266-279 (2021) - [j47]Xiaoxiao Lv, Jinde Cao, Leszek Rutkowski:
Dynamical and static multisynchronization analysis for coupled multistable memristive neural networks with hybrid control. Neural Networks 143: 515-524 (2021) - [j46]Xuegang Tan, Jinde Cao, Leszek Rutkowski, Guoping Lu:
Distributed Dynamic Self-Triggered Impulsive Control for Consensus Networks: The Case of Impulse Gain With Normal Distribution. IEEE Trans. Cybern. 51(2): 624-634 (2021) - [j45]Zicong Xia, Yang Liu, Jianquan Lu, Jinde Cao, Leszek Rutkowski:
Penalty Method for Constrained Distributed Quaternion-Variable Optimization. IEEE Trans. Cybern. 51(11): 5631-5636 (2021) - [j44]Xinsong Yang, Xiaoxiao Wan, Zunshui Cheng, Jinde Cao, Yang Liu, Leszek Rutkowski:
Synchronization of Switched Discrete-Time Neural Networks via Quantized Output Control With Actuator Fault. IEEE Trans. Neural Networks Learn. Syst. 32(9): 4191-4201 (2021) - [j43]Shaosheng Xu, Jinde Cao, Qingshan Liu, Leszek Rutkowski:
Optimal Control on Finite-Time Consensus of the Leader-Following Stochastic Multiagent System With Heuristic Method. IEEE Trans. Syst. Man Cybern. Syst. 51(6): 3617-3628 (2021) - [j42]Jingyi He, Yang Liu, Jianquan Lu, Jinde Cao, Leszek Rutkowski:
Event-Triggered Control for Output Regulation of Probabilistic Logical Systems With Delays. IEEE Trans. Syst. Man Cybern. Syst. 51(11): 6842-6851 (2021) - [j41]Jing Wang, Chengyu Yang, Hao Shen, Jinde Cao, Leszek Rutkowski:
Sliding-Mode Control for Slow-Sampling Singularly Perturbed Systems Subject to Markov Jump Parameters. IEEE Trans. Syst. Man Cybern. Syst. 51(12): 7579-7586 (2021) - [c70]Piotr Duda, Leszek Rutkowski, Piotr Woldan, Patryk Najgebauer:
The Streaming Approach to Training Restricted Boltzmann Machines. ICAISC (1) 2021: 308-317 - [c69]Maciej Jaworski, Leszek Rutkowski, Pawel Staszewski, Patryk Najgebauer:
Monitoring of Changes in Data Stream Distribution Using Convolutional Restricted Boltzmann Machines. ICAISC (1) 2021: 338-346 - [e28]Leszek Rutkowski, Rafal Scherer, Marcin Korytkowski, Witold Pedrycz, Ryszard Tadeusiewicz, Jacek M. Zurada:
Artificial Intelligence and Soft Computing - 20th International Conference, ICAISC 2021, Virtual Event, June 21-23, 2021, Proceedings, Part I. Lecture Notes in Computer Science 12854, Springer 2021, ISBN 978-3-030-87985-3 [contents] - [e27]Leszek Rutkowski, Rafal Scherer, Marcin Korytkowski, Witold Pedrycz, Ryszard Tadeusiewicz, Jacek M. Zurada:
Artificial Intelligence and Soft Computing - 20th International Conference, ICAISC 2021, Virtual Event, June 21-23, 2021, Proceedings, Part II. Lecture Notes in Computer Science 12855, Springer 2021, ISBN 978-3-030-87896-2 [contents] - [i5]Shiye Lei, Zhuozhuo Tu, Leszek Rutkowski, Feng Zhou, Li Shen, Fengxiang He, Dacheng Tao:
Spatial-Temporal-Fusion BNN: Variational Bayesian Feature Layer. CoRR abs/2112.06281 (2021) - 2020
- [j40]Jinde Cao, Yang Liu, Jianquan Lu, Leszek Rutkowski:
Complex systems and networks with their applications. Frontiers Inf. Technol. Electron. Eng. 21(2): 195-198 (2020) - [j39]Huiyuan Li, Jian-An Fang, Xiaofan Li, Leszek Rutkowski, Tingwen Huang:
Event-triggered impulsive synchronization of discrete-time coupled neural networks with stochastic perturbations and multiple delays. Neural Networks 132: 447-460 (2020) - [j38]Bingquan Chen, Jinde Cao, Yiping Luo, Leszek Rutkowski:
Asymptotic Output Tracking of Probabilistic Boolean Control Networks. IEEE Trans. Circuits Syst. I Regul. Pap. 67-I(8): 2780-2790 (2020) - [j37]Bingquan Chen, Jinde Cao, Guoping Lu, Leszek Rutkowski:
Lyapunov Functions for the Set Stability and the Synchronization of Boolean Control Networks. IEEE Trans. Circuits Syst. 67-II(11): 2537-2541 (2020) - [j36]Lin Lin, Jinde Cao, Shiyong Zhu, Leszek Rutkowski, Guoping Lu:
Sampled-Data Set Stabilization of Impulsive Boolean Networks Based on a Hybrid Index Model. IEEE Trans. Control. Netw. Syst. 7(4): 1859-1869 (2020) - [j35]Piotr Duda, Leszek Rutkowski, Maciej Jaworski, Danuta Rutkowska:
On the Parzen Kernel-Based Probability Density Function Learning Procedures Over Time-Varying Streaming Data With Applications to Pattern Classification. IEEE Trans. Cybern. 50(4): 1683-1696 (2020) - [j34]Zengyun Wang, Jinde Cao, Zuowei Cai, Leszek Rutkowski:
Anti-Synchronization in Fixed Time for Discontinuous Reaction-Diffusion Neural Networks With Time-Varying Coefficients and Time Delay. IEEE Trans. Cybern. 50(6): 2758-2769 (2020) - [j33]Yang Liu, Yanling Zheng, Jianquan Lu, Jinde Cao, Leszek Rutkowski:
Constrained Quaternion-Variable Convex Optimization: A Quaternion-Valued Recurrent Neural Network Approach. IEEE Trans. Neural Networks Learn. Syst. 31(3): 1022-1035 (2020) - [j32]Lin Lin, Jinde Cao, Leszek Rutkowski:
Robust Event-Triggered Control Invariance of Probabilistic Boolean Control Networks. IEEE Trans. Neural Networks Learn. Syst. 31(3): 1060-1065 (2020) - [j31]Xinsong Yang, Yang Liu, Jinde Cao, Leszek Rutkowski:
Synchronization of Coupled Time-Delay Neural Networks With Mode-Dependent Average Dwell Time Switching. IEEE Trans. Neural Networks Learn. Syst. 31(12): 5483-5496 (2020) - [j30]Xuegang Tan, Jinde Cao, Leszek Rutkowski:
Distributed Dynamic Self-Triggered Control for Uncertain Complex Networks With Markov Switching Topologies and Random Time-Varying Delay. IEEE Trans. Netw. Sci. Eng. 7(3): 1111-1120 (2020) - [c68]Pawel Staszewski, Maciej Jaworski, Leszek Rutkowski, Dacheng Tao:
Explainable Cluster-Based Rules Generation for Image Retrieval and Classification. ICAISC (2) 2020: 85-94 - [c67]Maciej Jaworski, Leszek Rutkowski, Plamen Angelov:
Concept Drift Detection Using Autoencoders in Data Streams Processing. ICAISC (1) 2020: 124-133 - [c66]Tomasz Rutkowski, Radoslaw Nielek, Danuta Rutkowska, Leszek Rutkowski:
A Novel Explainable Recommender for Investment Managers. ICAISC (2) 2020: 412-422 - [c65]Patryk Najgebauer, Rafal Scherer, Leszek Rutkowski:
Fully Convolutional Network for Removing DCT Artefacts From Images. IJCNN 2020: 1-8 - [e26]Leszek Rutkowski, Rafal Scherer, Marcin Korytkowski, Witold Pedrycz, Ryszard Tadeusiewicz, Jacek M. Zurada:
Artificial Intelligence and Soft Computing - 19th International Conference, ICAISC 2020, Zakopane, Poland, October 12-14, 2020, Proceedings, Part I. Lecture Notes in Computer Science 12415, Springer 2020, ISBN 978-3-030-61400-3 [contents] - [e25]Leszek Rutkowski, Rafal Scherer, Marcin Korytkowski, Witold Pedrycz, Ryszard Tadeusiewicz, Jacek M. Zurada:
Artificial Intelligence and Soft Computing - 19th International Conference, ICAISC 2020, Zakopane, Poland, October 12-14, 2020, Proceedings, Part II. Lecture Notes in Computer Science 12416, Springer 2020, ISBN 978-3-030-61533-8 [contents] - [i4]Pawel Staszewski, Maciej Jaworski, Jinde Cao, Leszek Rutkowski:
A new approach to descriptors generation for image retrieval by analyzing activations of deep neural network layers. CoRR abs/2007.06624 (2020)
2010 – 2019
- 2019
- [j29]Lena Pietruczuk, Leszek Rutkowski, Maciej Jaworski, Piotr Duda:
Corrigendum to 'How to adjust an ensemble size in stream data mining?' Information Sciences, vol. 381 (2017), pp. 46-54. Inf. Sci. 477: 545 (2019) - [j28]Lichao Feng, Jinde Cao, Jun Hu, Zhihui Wu, Leszek Rutkowski:
Exponential Stabilization for Hybrid Recurrent Neural Networks by Delayed Noises Rooted in Discrete Observations of State and Mode. Neural Process. Lett. 50(3): 2797-2819 (2019) - [c64]Patryk Najgebauer, Rafal Grycuk, Leszek Rutkowski, Rafal Scherer, Agnieszka Siwocha:
Microscopic Sample Segmentation by Fully Convolutional Network for Parasite Detection. ICAISC (1) 2019: 164-171 - [c63]Piotr Woldan, Pawel Staszewski, Leszek Rutkowski, Konrad Grzanek:
On Proper Designing of Deep Structures for Image Classification. ICAISC (1) 2019: 223-235 - [c62]Maciej Jaworski, Leszek Rutkowski, Piotr Duda, Andrzej Cader:
Resource-Aware Data Stream Mining Using the Restricted Boltzmann Machine. ICAISC (2) 2019: 384-396 - [c61]Maciej Jaworski, Piotr Duda, Danuta Rutkowska, Leszek Rutkowski:
On Handling Missing Values in Data Stream Mining Algorithms Based on the Restricted Boltzmann Machine. ICONIP (5) 2019: 347-354 - [c60]Danuta Rutkowska, Leszek Rutkowski:
On the Hermite Series-Based Generalized Regression Neural Networks for Stream Data Mining. ICONIP (3) 2019: 437-448 - [e24]Leszek Rutkowski, Rafal Scherer, Marcin Korytkowski, Witold Pedrycz, Ryszard Tadeusiewicz, Jacek M. Zurada:
Artificial Intelligence and Soft Computing - 18th International Conference, ICAISC 2019, Zakopane, Poland, June 16-20, 2019, Proceedings, Part I. Lecture Notes in Computer Science 11508, Springer 2019, ISBN 978-3-030-20911-7 [contents] - [e23]Leszek Rutkowski, Rafal Scherer, Marcin Korytkowski, Witold Pedrycz, Ryszard Tadeusiewicz, Jacek M. Zurada:
Artificial Intelligence and Soft Computing - 18th International Conference, ICAISC 2019, Zakopane, Poland, June 16-20, 2019, Proceedings, Part II. Lecture Notes in Computer Science 11509, Springer 2019, ISBN 978-3-030-20914-8 [contents] - 2018
- [j27]Piotr Duda, Maciej Jaworski, Leszek Rutkowski:
Convergent Time-Varying Regression Models for Data Streams: Tracking Concept Drift by the Recursive Parzen-Based Generalized Regression Neural Networks. Int. J. Neural Syst. 28(2): 1750048:1-1750048:23 (2018) - [j26]Piotr Duda, Maciej Jaworski, Leszek Rutkowski:
Knowledge discovery in data streams with the orthogonal series-based generalized regression neural networks. Inf. Sci. 460-461: 497-518 (2018) - [j25]Maciej Jaworski, Piotr Duda, Leszek Rutkowski:
New Splitting Criteria for Decision Trees in Stationary Data Streams. IEEE Trans. Neural Networks Learn. Syst. 29(6): 2516-2529 (2018) - [c59]Krystian Lapa, Krzysztof Cpalka, Leszek Rutkowski:
New Aspects of Interpretability of Fuzzy Systems for Nonlinear Modeling. Advances in Data Analysis with Computational Intelligence Methods 2018: 225-264 - [c58]Marcin Zalasinski, Krzysztof Cpalka, Leszek Rutkowski:
Fuzzy-Genetic Approach to Identity Verification Using a Handwritten Signature. Advances in Data Analysis with Computational Intelligence Methods 2018: 375-394 - [c57]Tomasz Rutkowski, Jakub Romanowski, Piotr Woldan, Pawel Staszewski, Radoslaw Nielek, Leszek Rutkowski:
A Content-Based Recommendation System Using Neuro-Fuzzy Approach. FUZZ-IEEE 2018: 1-8 - [c56]Jinde Cao, Leszek Rutkowski:
On the Global Convergence of the Parzen-Based Generalized Regression Neural Networks Applied to Streaming Data. ICAISC (1) 2018: 25-34 - [c55]Maciej Jaworski, Piotr Duda, Leszek Rutkowski:
Concept Drift Detection in Streams of Labelled Data Using the Restricted Boltzmann Machine. IJCNN 2018: 1-7 - [c54]Piotr Duda, Maciej Jaworski, Leszek Rutkowski:
Online GRNN-Based Ensembles for Regression on Evolving Data Streams. ISNN 2018: 221-228 - [e22]Adam E. Gaweda, Janusz Kacprzyk, Leszek Rutkowski, Gary G. Yen:
Advances in Data Analysis with Computational Intelligence Methods - Dedicated to Professor Jacek Żurada. Studies in Computational Intelligence 738, Springer 2018, ISBN 978-3-319-67945-7 [contents] - [e21]Leszek Rutkowski, Rafal Scherer, Marcin Korytkowski, Witold Pedrycz, Ryszard Tadeusiewicz, Jacek M. Zurada:
Artificial Intelligence and Soft Computing - 17th International Conference, ICAISC 2018, Zakopane, Poland, June 3-7, 2018, Proceedings, Part I. Lecture Notes in Computer Science 10841, Springer 2018, ISBN 978-3-319-91252-3 [contents] - [e20]Leszek Rutkowski, Rafal Scherer, Marcin Korytkowski, Witold Pedrycz, Ryszard Tadeusiewicz, Jacek M. Zurada:
Artificial Intelligence and Soft Computing - 17th International Conference, ICAISC 2018, Zakopane, Poland, June 3-7, 2018, Proceedings, Part II. Lecture Notes in Computer Science 10842, Springer 2018, ISBN 978-3-319-91261-5 [contents] - 2017
- [j24]Lena Pietruczuk, Leszek Rutkowski, Maciej Jaworski, Piotr Duda:
How to adjust an ensemble size in stream data mining? Inf. Sci. 381: 46-54 (2017) - [c53]Maciej Jaworski, Piotr Duda, Leszek Rutkowski, Patryk Najgebauer, Miroslaw Pawlak:
Heuristic Regression Function Estimation Methods for Data Streams with Concept Drift. ICAISC (2) 2017: 726-737 - [c52]Patryk Najgebauer, Leszek Rutkowski, Rafal Scherer:
Novel method for joining missing line fragments for medical image analysis. MMAR 2017: 861-866 - [c51]Piotr Duda, Maciej Jaworski, Leszek Rutkowski:
On ensemble components selection in data streams scenario with reoccurring concept-drift. SSCI 2017: 1-7 - [c50]Maciej Jaworski, Piotr Duda, Leszek Rutkowski:
On applying the Restricted Boltzmann Machine to active concept drift detection. SSCI 2017: 1-8 - [e19]Leszek Rutkowski, Marcin Korytkowski, Rafal Scherer, Ryszard Tadeusiewicz, Lotfi A. Zadeh, Jacek M. Zurada:
Artificial Intelligence and Soft Computing - 16th International Conference, ICAISC 2017, Zakopane, Poland, June 11-15, 2017, Proceedings, Part I. Lecture Notes in Computer Science 10245, Springer 2017, ISBN 978-3-319-59062-2 [contents] - [e18]Leszek Rutkowski, Marcin Korytkowski, Rafal Scherer, Ryszard Tadeusiewicz, Lotfi A. Zadeh, Jacek M. Zurada:
Artificial Intelligence and Soft Computing - 16th International Conference, ICAISC 2017, Zakopane, Poland, June 11-15, 2017, Proceedings, Part II. Lecture Notes in Computer Science 10246, Springer 2017, ISBN 978-3-319-59059-2 [contents] - 2016
- [j23]Krzysztof Cpalka, Marcin Zalasinski, Leszek Rutkowski:
A new algorithm for identity verification based on the analysis of a handwritten dynamic signature. Appl. Soft Comput. 43: 47-56 (2016) - [j22]Marcin Korytkowski, Leszek Rutkowski, Rafal Scherer:
Fast image classification by boosting fuzzy classifiers. Inf. Sci. 327: 175-182 (2016) - [c49]Maciej Jaworski, Leszek Rutkowski, Miroslaw Pawlak:
Hybrid Splitting Criterion in Decision Trees for Data Stream Mining. ICAISC (2) 2016: 60-72 - [c48]Lena Pietruczuk, Leszek Rutkowski, Maciej Jaworski, Piotr Duda:
A method for automatic adjustment of ensemble size in stream data mining. IJCNN 2016: 9-15 - [c47]Robert K. Nowicki, Rafal Scherer, Leszek Rutkowski:
Novel rough neural network for classification with missing data. MMAR 2016: 820-825 - [e17]Leszek Rutkowski, Marcin Korytkowski, Rafal Scherer, Ryszard Tadeusiewicz, Lotfi A. Zadeh, Jacek M. Zurada:
Artificial Intelligence and Soft Computing - 15th International Conference, ICAISC 2016, Zakopane, Poland, June 12-16, 2016, Proceedings, Part I. Lecture Notes in Computer Science 9692, Springer 2016, ISBN 978-3-319-39377-3 [contents] - [e16]Leszek Rutkowski, Marcin Korytkowski, Rafal Scherer, Ryszard Tadeusiewicz, Lotfi A. Zadeh, Jacek M. Zurada:
Artificial Intelligence and Soft Computing - 15th International Conference, ICAISC 2016, Zakopane, Poland, June 12-16, 2016, Proceedings, Part II. Lecture Notes in Computer Science 9693, Springer 2016, ISBN 978-3-319-39383-4 [contents] - [i3]Marcin Korytkowski, Leszek Rutkowski, Rafal Scherer:
Fast Image Classification by Boosting Fuzzy Classifiers. CoRR abs/1610.01068 (2016) - [i2]Krzysztof Cpalka, Marcin Zalasinski, Leszek Rutkowski:
A new algorithm for identity verification based on the analysis of a handwritten dynamic signature. CoRR abs/1610.01578 (2016) - 2015
- [j21]Leszek Rutkowski, Maciej Jaworski, Lena Pietruczuk, Piotr Duda:
A New Method for Data Stream Mining Based on the Misclassification Error. IEEE Trans. Neural Networks Learn. Syst. 26(5): 1048-1059 (2015) - [c46]Arkadiusz Szarek, Marcin Korytkowski, Leszek Rutkowski, Magdalena Scherer, Janusz Szyprowski, Dimce Kostadinov:
Customization of Joint Articulations Using Soft Computing Methods. ICAISC 2015: 151-160 - [c45]Patryk Najgebauer, Janusz Rygal, Tomasz Nowak, Jakub Romanowski, Leszek Rutkowski, Sviatoslav Voloshynovskiy, Rafal Scherer:
Fast Dictionary Matching for Content-Based Image Retrieval. ICAISC (1) 2015: 747-756 - [e15]Leszek Rutkowski, Marcin Korytkowski, Rafal Scherer, Ryszard Tadeusiewicz, Lotfi A. Zadeh, Jacek M. Zurada:
Artificial Intelligence and Soft Computing - 14th International Conference, ICAISC 2015, Zakopane, Poland, June 14-18, 2015, Proceedings, Part I. Lecture Notes in Computer Science 9119, Springer 2015, ISBN 978-3-319-19323-6 [contents] - [e14]Leszek Rutkowski, Marcin Korytkowski, Rafal Scherer, Ryszard Tadeusiewicz, Lotfi A. Zadeh, Jacek M. Zurada:
Artificial Intelligence and Soft Computing - 14th International Conference, ICAISC 2015, Zakopane, Poland, June 14-28, 2015, Proceedings, Part II. Lecture Notes in Computer Science 9120, Springer 2015, ISBN 978-3-319-19368-7 [contents] - [e13]Dimitar P. Filev, J. Jablkowski, Janusz Kacprzyk, Maciej Krawczak, Ivan P. Popchev, Leszek Rutkowski, Vassil Stoyanov Sgurev, Evdokia Sotirova, Piotr Szynkarczyk, Slawomir Zadrozny:
Intelligent Systems'2014 - Proceedings of the 7th IEEE International Conference Intelligent Systems IS'2014, September 24-26, 2014, Warsaw, Poland, Volume 2: Tools, Architectures, Systems, Applications. Advances in Intelligent Systems and Computing 323, Springer 2015, ISBN 978-3-319-11309-8 [contents] - [i1]Patryk Najgebauer, Janusz Rygal, Tomasz Nowak, Jakub Romanowski, Leszek Rutkowski, Sviatoslav Voloshynovskiy, Rafal Scherer:
Fast Dictionary Matching for Content-based Image Retrieval. CoRR abs/1504.06864 (2015) - 2014
- [j20]Leszek Rutkowski, Maciej Jaworski, Lena Pietruczuk, Piotr Duda:
The CART decision tree for mining data streams. Inf. Sci. 266: 1-15 (2014) - [j19]Krzysztof Cpalka, Marcin Zalasinski, Leszek Rutkowski:
New method for the on-line signature verification based on horizontal partitioning. Pattern Recognit. 47(8): 2652-2661 (2014) - [j18]Leszek Rutkowski, Maciej Jaworski, Lena Pietruczuk, Piotr Duda:
Decision Trees for Mining Data Streams Based on the Gaussian Approximation. IEEE Trans. Knowl. Data Eng. 26(1): 108-119 (2014) - [c44]Lena Pietruczuk, Leszek Rutkowski, Maciej Jaworski, Piotr Duda:
The Parzen kernel approach to learning in non-stationary environment. IJCNN 2014: 3319-3323 - [c43]Piotr Duda, Maciej Jaworski, Lena Pietruczuk, Leszek Rutkowski:
A novel application of Hoeffding's inequality to decision trees construction for data streams. IJCNN 2014: 3324-3330 - [e12]Leszek Rutkowski, Marcin Korytkowski, Rafal Scherer, Ryszard Tadeusiewicz, Lotfi A. Zadeh, Jacek M. Zurada:
Artificial Intelligence and Soft Computing - 13th International Conference, ICAISC 2014, Zakopane, Poland, June 1-5, 2014, Proceedings, Part I. Lecture Notes in Computer Science 8467, Springer 2014, ISBN 978-3-319-07172-5 [contents] - [e11]Leszek Rutkowski, Marcin Korytkowski, Rafal Scherer, Ryszard Tadeusiewicz, Lotfi A. Zadeh, Jacek M. Zurada:
Artificial Intelligence and Soft Computing - 13th International Conference, ICAISC 2014, Zakopane, Poland, June 1-5, 2014, Proceedings, Part II. Lecture Notes in Computer Science 8468, Springer 2014, ISBN 978-3-319-07175-6 [contents] - 2013
- [j17]Krzysztof Cpalka, Olga Yu. Rebrova, Robert Nowicki, Leszek Rutkowski:
On design of flexible neuro-fuzzy systems for nonlinear modelling. Int. J. Gen. Syst. 42(6): 706-720 (2013) - [j16]Leszek Rutkowski, Lena Pietruczuk, Piotr Duda, Maciej Jaworski:
Decision Trees for Mining Data Streams Based on the McDiarmid's Bound. IEEE Trans. Knowl. Data Eng. 25(6): 1272-1279 (2013) - [c42]Marcin Gabryel, Marcin Korytkowski, Rafal Scherer, Leszek Rutkowski:
Object Detection by Simple Fuzzy Classifiers Generated by Boosting. ICAISC (1) 2013: 540-547 - [c41]Leszek Rutkowski, Maciej Jaworski, Piotr Duda, Lena Pietruczuk:
On a Splitting Criterion for Decision Trees in Data Streams. MLDM Posters 2013: 7-11 - [e10]Leszek Rutkowski, Marcin Korytkowski, Rafal Scherer, Ryszard Tadeusiewicz, Lotfi A. Zadeh, Jacek M. Zurada:
Artificial Intelligence and Soft Computing - 12th International Conference, ICAISC 2013, Zakopane, Poland, June 9-13, 2013, Proceedings, Part I. Lecture Notes in Computer Science 7894, Springer 2013, ISBN 978-3-642-38657-2 [contents] - [e9]Leszek Rutkowski, Marcin Korytkowski, Rafal Scherer, Ryszard Tadeusiewicz, Lotfi A. Zadeh, Jacek M. Zurada:
Artificial Intelligence and Soft Computing - 12th International Conference, ICAISC 2013, Zakopane, Poland, June 9-13, 2013, Proceedings, Part II. Lecture Notes in Computer Science 7895, Springer 2013, ISBN 978-3-642-38609-1 [contents] - 2012
- [j15]Leszek Rutkowski, Andrzej Przybyl, Krzysztof Cpalka:
Novel Online Speed Profile Generation for Industrial Machine Tool Based on Flexible Neuro-Fuzzy Approximation. IEEE Trans. Ind. Electron. 59(2): 1238-1247 (2012) - [c40]Arkadiusz Szarek, Marcin Korytkowski, Leszek Rutkowski, Rafal Scherer, Janusz Szyprowski:
Application of Neural Networks in Assessing Changes around Implant after Total Hip Arthroplasty. ICAISC (2) 2012: 335-340 - [c39]Arkadiusz Szarek, Marcin Korytkowski, Leszek Rutkowski, Rafal Scherer, Janusz Szyprowski:
Forecasting Wear of Head and Acetabulum in Hip Joint Implant. ICAISC (2) 2012: 341-346 - [e8]Leszek Rutkowski, Marcin Korytkowski, Rafal Scherer, Ryszard Tadeusiewicz, Lotfi A. Zadeh, Jacek M. Zurada:
Artificial Intelligence and Soft Computing - 11th International Conference, ICAISC 2012, Zakopane, Poland, April 29-May 3, 2012, Proceedings, Part I. Lecture Notes in Computer Science 7267, Springer 2012, ISBN 978-3-642-29346-7 [contents] - [e7]Leszek Rutkowski, Marcin Korytkowski, Rafal Scherer, Ryszard Tadeusiewicz, Lotfi A. Zadeh, Jacek M. Zurada:
Artificial Intelligence and Soft Computing - 11th International Conference, ICAISC 2012, Zakopane, Poland, April 29-May 3, 2012, Proceedings, Part II. Lecture Notes in Computer Science 7268, Springer 2012, ISBN 978-3-642-29349-8 [contents] - [e6]Leszek Rutkowski, Marcin Korytkowski, Rafal Scherer, Ryszard Tadeusiewicz, Lotfi A. Zadeh, Jacek M. Zurada:
Swarm and Evolutionary Computation - International Symposia, SIDE 2012 and EC 2012, Held in Conjunction with ICAISC 2012, Zakopane, Poland, April 29-May 3, 2012. Proceedings. Lecture Notes in Computer Science 7269, Springer 2012, ISBN 978-3-642-29352-8 [contents] - 2011
- [c38]Marcin Korytkowski, Leszek Rutkowski, Rafal Scherer:
Rule base normalization in Takagi-Sugeno ensemble. HIMA 2011: 1-5 - [c37]Marcin Korytkowski, Robert Nowicki, Leszek Rutkowski, Rafal Scherer:
AdaBoost Ensemble of DCOG Rough-Neuro-Fuzzy Systems. ICCCI (1) 2011: 62-71 - [c36]Krzysztof Cpalka, Olga Yu. Rebrova, Robert Nowicki, Leszek Rutkowski:
On Designing of Flexible Neuro-Fuzzy Systems for Nonlinear Modelling. RSFDGrC 2011: 147-154 - 2010
- [j14]X. Li, Meng Joo Er, Beng Siong Lim, J. H. Zhou, O. P. Gan, Leszek Rutkowski:
Fuzzy Regression Modeling for Tool Performance Prediction and Degradation Detection. Int. J. Neural Syst. 20(5): 405-419 (2010) - [c35]Marcin Korytkowski, Robert Nowicki, Rafal Scherer, Leszek Rutkowski:
MICOG defuzzification rough-neuro-fuzzy system ensemble. FUZZ-IEEE 2010: 1-6 - [c34]Krzysztof Cpalka, Leszek Rutkowski, Meng Joo Er:
On Automatic Design of Neuro-fuzzy Systems. ICAISC (1) 2010: 43-48 - [c33]Juan Du, Meng Joo Er, Leszek Rutkowski:
An Efficient Adaptive Fuzzy Neural Network (EAFNN) Approach for Short Term Load Forecasting. ICAISC (1) 2010: 49-57 - [c32]Juan Du, Meng Joo Er, Leszek Rutkowski:
Fault Diagnosis of an Air-Handling Unit System Using a Dynamic Fuzzy-Neural Approach. ICAISC (1) 2010: 58-65 - [c31]Marcin Gabryel, Leszek Rutkowski:
Evolutionary Designing of Logic-Type Fuzzy Systems. ICAISC (2) 2010: 143-148 - [c30]Marcin Korytkowski, Leszek Rutkowski, Rafal Scherer, Arkadiusz Szarek:
Neural Network-Based Assessment of Femur Stress after Hip Joint Alloplasty. ICAISC (1) 2010: 621-626 - [c29]Leszek Rutkowski, Andrzej Przybyl, Krzysztof Cpalka, Meng Joo Er:
Online Speed Profile Generation for Industrial Machine Tool Based on Neuro-fuzzy Approach. ICAISC (2) 2010: 645-650 - [c28]Liu Fan, Meng Joo Er, Leszek Rutkowski:
An online approach towards self-generating fuzzy neural networks with applications. IJCNN 2010: 1-7 - [e5]Leszek Rutkowski, Rafal Scherer, Ryszard Tadeusiewicz, Lotfi A. Zadeh, Jacek M. Zurada:
Artificial Intelligence and Soft Computing, 10th International Conference, ICAISC 2010, Zakopane, Poland, June 13-17, 2010, Part I. Lecture Notes in Computer Science 6113, Springer 2010, ISBN 978-3-642-13207-0 [contents] - [e4]Leszek Rutkowski, Rafal Scherer, Ryszard Tadeusiewicz, Lotfi A. Zadeh, Jacek M. Zurada:
Artifical Intelligence and Soft Computing, 10th International Conference, ICAISC 2010, Zakopane, Poland, June 13-17, 2010, Part II. Lecture Notes in Computer Science 6114, Springer 2010, ISBN 978-3-642-13231-5 [contents]
2000 – 2009
- 2009
- [c27]Krzysztof Cpalka, Olga Yu. Rebrova, Leszek Rutkowski:
A New Method for Complexity Reduction of Neuro-fuzzy Systems with Application to Differential Stroke Diagnosis. ICANN (2) 2009: 435-444 - [r1]Leszek Rutkowski, Krzysztof Cpalka, Robert Nowicki, Agata Pokropinska, Rafal Scherer:
Neuro-fuzzy Systems. Encyclopedia of Complexity and Systems Science 2009: 6086-6099 - 2008
- [b1]Leszek Rutkowski:
Computational intelligence - methods and techniques. Springer 2008, pp. I-XIII, 1-514 - [c26]Leszek Rutkowski:
Neuro-Fuzzy Systems and their Applications. CISIM 2008: 1-2 - [c25]Krzysztof Cpalka, Leszek Rutkowski:
Evolutionary learning of flexible neuro-fuzzy systems. FUZZ-IEEE 2008: 969-975 - [c24]Marcin Korytkowski, Robert Nowicki, Rafal Scherer, Leszek Rutkowski:
Ensemble of rough-neuro-fuzzy systems for classification with missing features. FUZZ-IEEE 2008: 1745-1750 - [c23]Krzysztof Cpalka, Leszek Rutkowski:
An Application of Weighted Triangular Norms to Complexity Reduction of Neuro-fuzzy Systems. ICAISC 2008: 207-216 - [c22]Marcin Korytkowski, Leszek Rutkowski, Rafal Scherer:
From Ensemble of Fuzzy Classifiers to Single Fuzzy Rule Base Classifier. ICAISC 2008: 265-272 - [c21]Marcin Gabryel, Leszek Rutkowski:
Evolutionary Methods for Designing Neuro-fuzzy Modular Systems Combined by Bagging Algorithm. ICAISC 2008: 398-404 - [c20]Marcin Korytkowski, Marcin Gabryel, Leszek Rutkowski, Stanislaw Drozda:
Evolutionary Methods to Create Interpretable Modular System. ICAISC 2008: 405-413 - [c19]Krzysztof Cpalka, Olga Yu. Rebrova, Tomasz Galkowski, Leszek Rutkowski:
On Differential Stroke Diagnosis by Neuro-fuzzy Structures. ICAISC 2008: 974-980 - [p2]Marcin Korytkowski, Leszek Rutkowski, Rafal Scherer:
On Speeding Up the Learning Process of Neuro-fuzzy Ensembles Generated by the Adaboost Algorithm. Computer Recognition Systems 2 2008: 319-326 - [e3]Leszek Rutkowski, Ryszard Tadeusiewicz, Lotfi A. Zadeh, Jacek M. Zurada:
Artificial Intelligence and Soft Computing - ICAISC 2008, 9th International Conference, Zakopane, Poland, June 22-26, 2008, Proceedings. Lecture Notes in Computer Science 5097, Springer 2008, ISBN 978-3-540-69572-1 [contents] - 2007
- [j13]Leszek Rutkowski:
Standards Standing Committee [Society Briefs]. IEEE Comput. Intell. Mag. 2(3): 4-5 (2007) - [c18]Marcin Korytkowski, Leszek Rutkowski, Rafal Scherer, Grzegorz Drozda:
On Obtaining Fuzzy Rule Base from Ensemble of Takagi-Sugeno Systems. CIDM 2007: 234-237 - [c17]Krzysztof Cpalka, Robert Nowicki, Leszek Rutkowski:
Rough-Neuro-Fuzzy Systems for Classification. FOCI 2007: 1-8 - [c16]Rafal Scherer, Marcin Korytkowski, Robert Nowicki, Leszek Rutkowski:
Modular Rough Neuro-fuzzy Systems for Classification. PPAM 2007: 540-548 - 2006
- [j12]Leszek Rutkowski:
Family corner - Poland chapter. IEEE Comput. Intell. Mag. 1(2): 52-55 (2006) - [c15]Krzysztof Cpalka, Leszek Rutkowski:
A New Method for Designing and Reduction of Neuro-Fuzzy Systems. FUZZ-IEEE 2006: 1851-1857 - [c14]Marcin Korytkowski, Robert Nowicki, Leszek Rutkowski, Rafal Scherer:
Merging Ensemble of Neuro-Fuzzy Systems. FUZZ-IEEE 2006: 1954-1957 - [c13]Marcin Korytkowski, Robert Nowicki, Leszek Rutkowski, Rafal Scherer:
Combining Logical-Type Neuro-fuzzy Systems. ICAISC 2006: 240-249 - [c12]Marcin Gabryel, Leszek Rutkowski:
Evolutionary Learning of Mamdani-Type Neuro-fuzzy Systems. ICAISC 2006: 354-359 - [c11]Marcin Korytkowski, Leszek Rutkowski, Rafal Scherer:
On Combining Backpropagation with Boosting. IJCNN 2006: 1274-1277 - [e2]Leszek Rutkowski, Ryszard Tadeusiewicz, Lotfi A. Zadeh, Jacek M. Zurada:
Artificial Intelligence and Soft Computing - ICAISC 2006, 8th International Conference, Zakopane, Poland, June 25-29, 2006, Proceedings. Lecture Notes in Computer Science 4029, Springer 2006, ISBN 3-540-35748-3 [contents] - 2005
- [j11]Leszek Rutkowski, Krzysztof Cpalka:
Designing and learning of adjustable quasi-triangular norms with applications to neuro-fuzzy systems. IEEE Trans. Fuzzy Syst. 13(1): 140-151 (2005) - [p1]Rafal Scherer, Leszek Rutkowski:
Connectionist Fuzzy Relational Systems. Computational Intelligence for Modelling and Prediction 2005: 35-47 - 2004
- [j10]Leszek Rutkowski:
Generalized regression neural networks in time-varying environment. IEEE Trans. Neural Networks 15(3): 576-596 (2004) - [j9]Leszek Rutkowski:
Adaptive probabilistic neural networks for pattern classification in time-varying environment. IEEE Trans. Neural Networks 15(4): 811-827 (2004) - [c10]Leszek Rutkowski, Krzysztof Cpalka:
Neuro-fuzzy systems derived from quasi-triangular norms. FUZZ-IEEE 2004: 1031-1036 - [c9]Krzysztof Cpalka, Leszek Rutkowski:
Fuzzy Modelling with a Compromise Fuzzy Reasoning. ICAISC 2004: 284-289 - [c8]Rafal Scherer, Leszek Rutkowski:
Neuro-Fuzzy Relational Classifiers. ICAISC 2004: 376-380 - [e1]Leszek Rutkowski, Jörg H. Siekmann, Ryszard Tadeusiewicz, Lotfi A. Zadeh:
Artificial Intelligence and Soft Computing - ICAISC 2004, 7th International Conference, Zakopane, Poland, June 7-11, 2004, Proceedings. Lecture Notes in Computer Science 3070, Springer 2004, ISBN 3-540-22123-9 [contents] - 2003
- [j8]Leszek Rutkowski, Krzysztof Cpalka:
Flexible neuro-fuzzy systems. IEEE Trans. Neural Networks 14(3): 554-574 (2003) - [j7]Leszek Rutkowski, Krzysztof Cpalka:
Errata to "Flexible neuro-fuzzy systems". IEEE Trans. Neural Networks 14(4): 967 (2003) - 2002
- [c7]Rafal Scherer, Leszek Rutkowski:
Neuro-Fuzzy Relational Systems. FSKD 2002: 44-48 - [c6]Janusz T. Starczewski, Leszek Rutkowski:
Neuro-Fuzzy Inference Systems of Type 2. FSKD 2002: 458-462 - [c5]Robert Nowicki, Leszek Rutkowski:
Rough-Neuro-Fuzzy System for Classification. FSKD 2002: 463-466 - 2001
- [c4]Leszek Rutkowski, Krzysztof Cpalka:
A General Approach to Neuro-Fuzzy Systems. FUZZ-IEEE 2001: 1428-1431 - [c3]Janusz T. Starczewski, Leszek Rutkowski:
Connectionist Structures of Type 2 Fuzzy Inference Systems. PPAM 2001: 634-642 - 2000
- [j6]Robert Cierniak, Leszek Rutkowski:
On image compression by competitive neural networks and optimal linear predictors. Signal Process. Image Commun. 15(6): 559-565 (2000)
1990 – 1999
- 1999
- [c2]Danuta Rutkowska, Leszek Rutkowski, Robert Nowicki:
On Processing of Noisy Data by Fuzzy Inference Neural Networks. SIP 1999: 314-318 - 1996
- [c1]Robert Cierniak, Leszek Rutkowski:
Neural networks and semi-closed-loop predictive vector quantization for image compression. ICIP (1) 1996: 245-248 - 1993
- [j5]Leszek Rutkowski:
Multiple Fourier series procedures for extraction of nonlinear regressions from noisy data. IEEE Trans. Signal Process. 41(10): 3062-3065 (1993) - 1991
- [j4]Leszek Rutkowski:
Identification of MISO nonlinear regressions in the presence of a wide class of disturbances. IEEE Trans. Inf. Theory 37(1): 214-216 (1991)
1980 – 1989
- 1988
- [j3]Leszek Rutkowski:
Sequential pattern recognition procedures derived from multiple Fourier series. Pattern Recognit. Lett. 8(4): 213-216 (1988) - 1985
- [j2]Tomasz Galkowski, Leszek Rutkowski:
Nonparametric recovery of multivariate functions with applications to system identification. Proc. IEEE 73(5): 942-943 (1985) - 1982
- [j1]Leszek Rutkowski:
On Bayes Risk Consistent Pattern Recognition Procedures in a Quasi-Stationary Environment. IEEE Trans. Pattern Anal. Mach. Intell. 4(1): 84-87 (1982)
Coauthor Index
Robert Nowicki
aka: Robert K. Nowicki
aka: Robert K. Nowicki
[e32] [e31] [e30] [e29] [c71] [e28] [e27] [c65] [e26] [e25] [c64] [e24] [e23] [e21] [e20] [c52] [e19] [e18] [j22] [c47] [e17] [e16] [i3] [c45] [e15] [e14] [i1] [e12] [e11] [c42] [e10] [e9] [c40] [c39] [e8] [e7] [e6] [c38] [c37] [c35] [c30] [e5] [e4] [r1] [c24] [c22] [p2] [c18] [c16] [c14] [c13] [c11] [p1] [c8] [c7]
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