World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
55
Citations
15724
World Ranking
4228
National Ranking
1996

Research.com Recognitions

  • 2005 - Polish Academy of Science

Overview

Jacek M. Zurada is affiliated with the University of Louisville in the United States. Their research primarily spans the fields of Computer Science and Engineering, with a focus on subfields including Artificial Intelligence, Computational Mechanics, Signal Processing, Developmental and Educational Psychology, and Computer Science Applications.

The scientist's main research topics cover Neural Networks and Applications, Machine Learning and Extreme Learning Machines, Blind Source Separation Techniques, Intelligent Tutoring Systems and Adaptive Learning, Online Learning and Analytics, Neural Networks Stability and Synchronization, and Sparse and Compressive Sensing Techniques.

Zurada's recent publications include:

  • Local Levenberg-Marquardt Algorithm for Learning Feedforward Neural Networks, 2020, Journal of Artificial Intelligence and Soft Computing Research
  • A recalling-enhanced recurrent neural network: Conjugate gradient learning algorithm and its convergence analysis, 2020, Information Sciences
  • Deterministic convergence analysis via smoothing group Lasso regularization and adaptive momentum for Sigma-Pi-Sigma neural network, 2020, Information Sciences
  • Convergence analysis for sigma-pi-sigma neural network based on some relaxed conditions, 2021, Information Sciences
  • A Novel Fast Feedforward Neural Networks Training Algorithm, 2021, Journal of Artificial Intelligence and Soft Computing Research

The frequent coauthors with whom Zurada has collaborated include Vinit Kumar Gunjan, Ninni Singh, Qinwei Fan, Jarosław Bilski, and Bartosz Kowalczyk.

Key publication venues for Zurada's work are:

  • Journal of Artificial Intelligence and Soft Computing Research
  • Information Sciences
  • IEEE Transactions on Neural Networks and Learning Systems
  • Swarm and Evolutionary Computation
  • IEEE/CAA Journal of Automatica Sinica

Regarding book publications, Zurada has contributed to titles published mostly by Springer Science+Business Media, including:

  • Artificial Intelligence and Soft Computing (2023)
  • Computational Intelligence in Machine Learning (2024)
  • Multiple editions of Artificial Intelligence and Soft Computing (2023)

Additional book publications include:

  • Proceedings of 3rd International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications (2023), published by Springer International Publishing
  • Cognitive Tutor (2022), published by Springer Nature

Among recognized acknowledgments, Zurada received an award from the Polish Academy of Science in 2005.

Best Publications

  • Normalized Mutual Information Feature Selection

    P.A. Estevez;M. Tesmer;C.A. Perez;J.M. Zurada

  • 2008 Special Issue: Training neural network classifiers for medical decision making: The effects of imbalanced datasets on classification performance

    Maciej A. Mazurowski;Piotr A. Habas;Jacek M. Zurada;Joseph Y. Lo

  • Training neural network classifiers for medical decision making: The effects of imbalanced datasets on classification performance

    Maciej A. Mazurowski;Piotr A. Habas;Jacek M. Zurada;Joseph Y. Lo

  • An approach to multimodal biomedical image registration utilizing particle swarm optimization

    M.P. Wachowiak;R. Smolikova;Yufeng Zheng;J.M. Zurada

  • Artificial Intelligence and Soft Computing

    Leszek Rutkowski;Rafał Scherer;Ryszard Tadeusiewicz;Lotfi A. Zadeh

  • Swarm and Evolutionary Computation

    Leszek Rutkowski;Marcin Korytkowski;Rafał Scherer;Ryszard Tadeusiewicz

  • Complex-valued multistate neural associative memory

    S. Jankowski;A. Lozowski;J.M. Zurada

  • Artificial Intelligence and Soft Computing – ICAISC 2006

    Leszek Rutkowski;Ryszard Tadeusiewicz;Lotfi A. Zadeh;Jacek M. Żurada

  • Classification algorithms for quantitative tissue characterization of diffuse liver disease from ultrasound images

    Y.M. Kadah;A.A. Farag;J.M. Zurada;A.M. Badawi

  • Computational Intelligence: Imitating Life

    Robert J. Marks;Jacek M. Zurada;Charles J. Robinson

  • Advances in Neural Networks - ISNN 2006

    Jun Wang;Zhang Yi;Jacek M. Zurada;Bao-Liang Lu

  • 2015 IEEE Symposium Series on Computational Intelligence

    Honorary Chairs;Jacek Zurada;Andries Engelbrecht;Mengjie Zhang

  • Computational intelligence methods for rule-based data understanding

    W. Duch;R. Setiono;J.M. Zurada

  • Sensitivity analysis for minimization of input data dimension for feedforward neural network

    J.M. Zurada;A. Malinowski;I. Cloete

  • Extraction of rules from artificial neural networks for nonlinear regression

    R. Setiono;Wee Kheng Leow;J.M. Zurada

  • A new design method for the complex-valued multistate Hopfield associative memory

    M.K. Muezzinoglu;C. Guzelis;J.M. Zurada

  • Generalized Core Vector Machines

    I.W.H. Tsang;J.T.Y. Kwok;J.A. Zurada

  • Review and performance comparison of SVM- and ELM-based classifiers

    Jan Chorowski;Jan Chorowski;Jian Wang;Jian Wang;Jian Wang;Jacek M. Zurada

  • Nonlinear blind source separation using a radial basis function network

    Ying Tan;Jun Wang;J.M. Zurada

  • Deep Learning of Part-Based Representation of Data Using Sparse Autoencoders With Nonnegativity Constraints

    Ehsan Hosseini-Asl;Jacek M. Zurada;Olfa Nasraoui

Frequent Co-Authors

Maciej A. Mazurowski
Maciej A. Mazurowski Duke University
Georgia D. Tourassi
Georgia D. Tourassi Oak Ridge National Laboratory
Waldemar Karwowski
Waldemar Karwowski University of Central Florida
Leszek Rutkowski
Leszek Rutkowski AGH University of Science and Technology
Lotfi A. Zadeh
Lotfi A. Zadeh University of California, Berkeley
Rudy Setiono
Rudy Setiono National University of Singapore
Ayman El-Baz
Ayman El-Baz University of Louisville
Zhang Yi
Zhang Yi Sichuan University
Bao-Liang Lu
Bao-Liang Lu Shanghai Jiao Tong University
Andries P. Engelbrecht
Andries P. Engelbrecht Stellenbosch University

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