World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
48
Citations
13273
World Ranking
6056
National Ranking
232

Research.com Recognitions

  • 2020 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to statistical pattern recognition and machine learning, and for service to IAPR
  • 2012 - IEEE Fellow For contributions to nonparametric algorithms and classification systems for machine learning

Overview

Adam Krzyżak is affiliated with Concordia University in Canada and has contributed extensively to the fields of Computer Science and Engineering, with particular focus on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Control and Systems Engineering, and Signal Processing.

The scientist's research spans key topics such as Neural Networks and Applications, Remote-Sensing Image Classification, Face and Expression Recognition, Image and Signal Denoising Methods, Advanced Image Fusion Techniques, Anomaly Detection Techniques and Applications, and Remote Sensing and Land Use.

Among their recent papers are:

  • Estimation of a Function of Low Local Dimensionality by Deep Neural Networks, 2022, IEEE Transactions on Information Theory
  • A New Approach to Detection of Changes in Multidimensional Patterns, 2020, Journal of Artificial Intelligence and Soft Computing Research
  • Compatible-domain Transfer Learning for Breast Cancer Classification with Limited Annotated Data, 2023, Computers in Biology and Medicine
  • Over-parametrized deep neural networks minimizing the empirical risk do not generalize well, 2021, Bernoulli
  • On the rate of convergence of image classifiers based on convolutional neural networks, 2022, Annals of the Institute of Statistical Mathematics

Frequent co-authors collaborating with Adam Krzyżak include:

  • Guang Yi Chen
  • Michael Köhler
  • Tomasz Gałkowski
  • Shen-En Qian
  • Ching Y. Suen

The scientist has published multiple papers in venues such as:

  • arXiv (Cornell University)
  • Image Analysis & Stereology
  • IEEE Transactions on Information Theory
  • Journal of Artificial Intelligence and Soft Computing Research
  • Canadian Journal of Remote Sensing

Adam Krzyżak has also authored a book published by Springer Science+Business Media titled Structural, Syntactic, and Statistical Pattern Recognition (2022).

Awards received by Adam Krzyżak include:

  • Fellow of the International Association for Pattern Recognition (IAPR), 2020, for contributions to statistical pattern recognition and machine learning, and for service to IAPR
  • IEEE Fellow, 2012, for contributions to nonparametric algorithms and classification systems for machine learning

Best Publications

  • Methods of combining multiple classifiers and their applications to handwriting recognition

    L. Xu;A. Krzyzak;C.Y. Suen

  • Rival penalized competitive learning for clustering analysis, RBF net, and curve detection

    L. Xu;A. Krzyzak;E. Oja

  • Learning and design of principal curves

    B. Kegl;A. Krzyzak;T. Linder;K. Zeger

  • Image denoising using neighbouring wavelet coefficients

    G. Y. Chen;T. D. Bui;A. Krzyzak

  • On the Strong Universal Consistency of Nearest Neighbor Regression Function Estimates

    Luc Devroye;Laszlo Gyorfi;Adam Krzyzak;Gabor Lugosi

  • Piecewise linear skeletonization using principal curves

    B. Kegl;A. Krzyzak

  • Fast SVM training algorithm with decomposition on very large data sets

    Jian-xiong Dong;A. Krzyzak;C.Y. Suen

  • Computer-Aided Breast Cancer Diagnosis Based on the Analysis of Cytological Images of Fine Needle Biopsies

    Pawel Filipczuk;Thomas Fevens;Adam Krzyzak;Roman Monczak

  • Image denoising with neighbour dependency and customized wavelet and threshold

    G. Y. Chen;T. D. Bui;A. Krzyak

  • On radial basis function nets and kernel regression: statistical consistency, convergence rates, and receptive field size

    Lei Xu;Lei Xu;Adam Krzyżak;Alan Yuille

  • Distribution-Free Pointwise Consistency of Kernel Regression Estimate

    Wlodzimierz Greblicki;Adam Krzyzak;Miroslaw Pawlak

  • Robust estimation for range image segmentation and reconstruction

    Xinming Yu;T.D. Bui;A. Krzyzak

  • Nonparametric estimation and classification using radial basis function nets and empirical risk minimization

    A. Krzyzak;T. Linder;C. Lugosi

  • An improved handwritten Chinese character recognition system using support vector machine

    Jian-xiong Dong;Adam Krzyak;Ching Y. Suen

  • Classification of Breast Cancer Malignancy Using Cytological Images of Fine Needle Aspiration Biopsies

    Łukasz Jeleń;Thomas Fevens;Adam Krzyżak

  • PRICING OF HIGH-DIMENSIONAL AMERICAN OPTIONS BY NEURAL NETWORKS

    Michael Kohler;Adam Krzyżak;Nebojsa Todorovic

  • Segmentation of handwritten digits using contour features

    N.W. Strathy;C.Y. Suen;A. Krzyzak

  • Radial basis function networks and complexity regularization in function learning

    A. Krzyzak;T. Linder

  • Nonparametric Regression Based on Hierarchical Interaction Models

    Michael Kohler;Adam Krzyzak

  • Neural networks for optimization and signal processing: A. Cichocki and R. Unbehauen. J. Wiley & Sons, 1993. ISBN 0-471-93010-5. 526 pp

    Adam Krzyzak

  • Methods of CombiningMultiple Classifiers and Their Application to Handwriting Recognition

    L. Xu;Adam Krzyzak;C.Y Suen

Frequent Co-Authors

Ching Y. Suen
Ching Y. Suen Concordia University
Tien D. Bui
Tien D. Bui Concordia University
Tamas Linder
Tamas Linder Queen's University
Luc Devroye
Luc Devroye McGill University
Shuo Li
Shuo Li Case Western Reserve University
Erkki Oja
Erkki Oja Aalto University
Gábor Lugosi
Gábor Lugosi Pompeu Fabra University
Alan L. Yuille
Alan L. Yuille Johns Hopkins University
Kenneth Zeger
Kenneth Zeger University of California, San Diego
Sridhar Krishnan
Sridhar Krishnan Toronto Metropolitan University

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