Leszek Rutkowski

ORCID

Publication Activity (10 Years)

Years Active: 1982-2024
Publications (10 Years): 113

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

IEEE Trans. Cybern.

Inf. Sci.

ICAISC (1)

Publications

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) (2024)
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) (2024)
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) (2024)
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 (2024)
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 (2024)
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) (2024)
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) (2024)
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 (2024)
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 (2024)
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) (2024)
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) (2024)
Piotr Duda, Mateusz Wojtulewicz, Leszek Rutkowski
Accelerating deep neural network learning using data stream methodology. Inf. Sci. 669 (2024)
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) (2024)
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) (2024)
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)
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 (2023)
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) (2023)
Danuta Rutkowska, Piotr Duda, Jinde Cao, Leszek Rutkowski, Aleksander Byrski, Maciej Jaworski, Dacheng Tao
convergence of stream data mining algorithms based on probabilistic neural networks. Inf. Sci. 631 (2023)
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) (2023)
Grazyna Starzec, Mateusz Starzec, Sanghamitra Bandyopadhyay, Ujjwal Maulik, Leszek Rutkowski, Marek Kisiel-Dorohinicki, Aleksander Byrski
Two-Dimensional Pheromone in Ant Colony Optimization. ICCCI (2023)
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) (2023)
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 (2023)
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) (2023)
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) (2023)
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 (2023)
Piotr Duda, Mateusz Wojtulewicz, Leszek Rutkowski
The Analysis of Optimizers in Training Artificial Neural Networks Using the Streaming Approach. ICAISC (1) (2023)
Jing Wang, Jiacheng Wu, Hao Shen, Jinde Cao, Leszek Rutkowski
Control of Discrete-Time Nonlinear Markov Jump Systems via a Novel Hybrid Reinforcement Q-Learning Method. IEEE Trans. Cybern. 53 (11) (2023)
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) (2023)
Wanjie Zhu, Jinde Cao, Xinli Shi, Leszek Rutkowski
Leader-following consensus of finite-field networks with time-delays. Inf. Sci. 647 (2023)
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) (2023)
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 (2023)
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 (2023)
Nian Zhang, Jian Wang, Leszek Rutkowski
Special issue on deep interpretation of deep learning: prediction, representation, modeling and utilization. Neural Comput. Appl. 35 (14) (2023)
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 (2023)
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)
Huimin Guan, Yang Liu, Kit Ian Kou, Jinde Cao, Leszek Rutkowski
Collaborative neurodynamic optimization for solving nonlinear equations. Neural Networks 165 (2023)
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) (2022)
Mateusz Godzik, Jacek Dajda, Marek Kisiel-Dorohinicki, Aleksander Byrski, Leszek Rutkowski, Patryk Orzechowski, Joost Wagenaar, Jason H. Moore
Applying Autonomous Hybrid Agent-based Computing to Difficult Optimization Problems. CoRR (2022)
Wanjie Zhu, Jinde Cao, Xinli Shi, Leszek Rutkowski
Synchronization of Finite-Field Networks With Time Delays. IEEE Trans. Netw. Sci. Eng. 9 (2) (2022)
Hao Shen, Xuelian Wang, Jing Wang, Jinde Cao, Leszek Rutkowski
Synchronization of Markov Jump Reaction-Diffusion Neural Networks via a Disturbance Observer-Based Method. IEEE Trans. Cybern. 52 (12) (2022)
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)
Krzysztof Cpalka, Krystian Lapa, Leszek Rutkowski
A Multi-population-Based Algorithm with Different Ways of Subpopulations Cooperation. ICAISC (1) (2022)
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) (2022)
Bingquan Chen, Jinde Cao, Guoping Lu, Leszek Rutkowski
Stabilization of Markovian Jump Boolean Control Networks via Sampled-Data Control. IEEE Trans. Cybern. 52 (10) (2022)
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) (2022)
Nian Zhang, Jian Wang, Leszek Rutkowski
Editorial: Special Issue on Reliable Machine Learning and Optimization. Int. J. Artif. Intell. Tools 31 (6) (2022)
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) (2022)
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) (2022)
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) (2022)
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) (2022)
Yuwen Song, Jinde Cao, Leszek Rutkowski
A Fixed-Time Distributed Optimization Algorithm Based on Event-Triggered Strategy. IEEE Trans. Netw. Sci. Eng. 9 (3) (2022)
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) (2022)
Mateusz Godzik, Jacek Dajda, Marek Kisiel-Dorohinicki, Aleksander Byrski, Leszek Rutkowski, Patryk Orzechowski, Joost Wagenaar, Jason H. Moore
Applying autonomous hybrid agent-based computing to difficult optimization problems. J. Comput. Sci. 64 (2022)
Xiaoxiao Lv, Jinde Cao, Leszek Rutkowski
Dynamical and static multisynchronization analysis for coupled multistable memristive neural networks with hybrid control. Neural Networks 143 (2021)
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) (2021)
Maciej Jaworski, Leszek Rutkowski, Pawel Staszewski, Patryk Najgebauer
Monitoring of Changes in Data Stream Distribution Using Convolutional Restricted Boltzmann Machines. ICAISC (1) (2021)
Piotr Duda, Leszek Rutkowski, Piotr Woldan, Patryk Najgebauer
The Streaming Approach to Training Restricted Boltzmann Machines. ICAISC (1) (2021)
Jaroslaw Bilski, Leszek Rutkowski, Jacek Smolag, Dacheng Tao
A novel method for speed training acceleration of recurrent neural networks. Inf. Sci. 553 (2021)
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) (2021)
Zicong Xia, Yang Liu, Jianquan Lu, Jinde Cao, Leszek Rutkowski
Penalty Method for Constrained Distributed Quaternion-Variable Optimization. IEEE Trans. Cybern. 51 (11) (2021)
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 (2021)
Shiye Lei, Zhuozhuo Tu, Leszek Rutkowski, Feng Zhou, Li Shen, Fengxiang He, Dacheng Tao
Spatial-Temporal-Fusion BNN: Variational Bayesian Feature Layer. CoRR (2021)
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) (2021)
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) (2021)
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) (2021)
Maciej Jaworski, Leszek Rutkowski, Plamen Angelov
Concept Drift Detection Using Autoencoders in Data Streams Processing. ICAISC (1) (2020)
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 (2020)
Patryk Najgebauer, Rafal Scherer, Leszek Rutkowski
Fully Convolutional Network for Removing DCT Artefacts From Images. IJCNN (2020)
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) (2020)
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) (2020)
Bingquan Chen, Jinde Cao, Yiping Luo, Leszek Rutkowski
Asymptotic Output Tracking of Probabilistic Boolean Control Networks. IEEE Trans. Circuits Syst. I Regul. Pap. (8) (2020)
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) (2020)
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) (2020)
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) (2020)
Tomasz Rutkowski, Radoslaw Nielek, Danuta Rutkowska, Leszek Rutkowski
A Novel Explainable Recommender for Investment Managers. ICAISC (2) (2020)
Jinde Cao, Yang Liu, Jianquan Lu, Leszek Rutkowski
Complex systems and networks with their applications. Frontiers Inf. Technol. Electron. Eng. 21 (2) (2020)
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. (11) (2020)
Pawel Staszewski, Maciej Jaworski, Leszek Rutkowski, Dacheng Tao
Explainable Cluster-Based Rules Generation for Image Retrieval and Classification. ICAISC (2) (2020)
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 (2020)
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) (2020)
Lin Lin, Jinde Cao, Leszek Rutkowski
Robust Event-Triggered Control Invariance of Probabilistic Boolean Control Networks. IEEE Trans. Neural Networks Learn. Syst. 31 (3) (2020)
Maciej Jaworski, Leszek Rutkowski, Piotr Duda, Andrzej Cader
Resource-Aware Data Stream Mining Using the Restricted Boltzmann Machine. ICAISC (2) (2019)
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 (2019)
Piotr Woldan, Pawel Staszewski, Leszek Rutkowski, Konrad Grzanek
On Proper Designing of Deep Structures for Image Classification. ICAISC (1) (2019)
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) (2019)
Patryk Najgebauer, Rafal Grycuk, Leszek Rutkowski, Rafal Scherer, Agnieszka Siwocha
Microscopic Sample Segmentation by Fully Convolutional Network for Parasite Detection. ICAISC (1) (2019)
Danuta Rutkowska, Leszek Rutkowski
On the Hermite Series-Based Generalized Regression Neural Networks for Stream Data Mining. ICONIP (3) (2019)
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)
Piotr Duda, Maciej Jaworski, Leszek Rutkowski
Online GRNN-Based Ensembles for Regression on Evolving Data Streams. ISNN (2018)
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)
Maciej Jaworski, Piotr Duda, Leszek Rutkowski
Concept Drift Detection in Streams of Labelled Data Using the Restricted Boltzmann Machine. IJCNN (2018)
Jinde Cao, Leszek Rutkowski
On the Global Convergence of the Parzen-Based Generalized Regression Neural Networks Applied to Streaming Data. ICAISC (1) (2018)
Tomasz Rutkowski, Jakub Romanowski, Piotr Woldan, Pawel Staszewski, Radoslaw Nielek, Leszek Rutkowski
A Content-Based Recommendation System Using Neuro-Fuzzy Approach. FUZZ-IEEE (2018)
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)
Maciej Jaworski, Piotr Duda, Leszek Rutkowski
New Splitting Criteria for Decision Trees in Stationary Data Streams. IEEE Trans. Neural Networks Learn. Syst. 29 (6) (2018)
Piotr Duda, Maciej Jaworski, Leszek Rutkowski
Knowledge discovery in data streams with the orthogonal series-based generalized regression neural networks. Inf. Sci. (2018)
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) (2018)
Piotr Duda, Maciej Jaworski, Leszek Rutkowski
On ensemble components selection in data streams scenario with reoccurring concept-drift. SSCI (2017)
Lena Pietruczuk, Leszek Rutkowski, Maciej Jaworski, Piotr Duda
How to adjust an ensemble size in stream data mining? Inf. Sci. 381 (2017)
Maciej Jaworski, Piotr Duda, Leszek Rutkowski
On applying the Restricted Boltzmann Machine to active concept drift detection. SSCI (2017)

Leszek Rutkowski.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Leszek Rutkowski