Classification procedures using multivariate variable kernel density estimate. - Adam Krzyzak (Pattern Recognit. Lett., 1983)

Distribution-free consistency of a nonparametric kernel regression estimate and classification. - Adam Krzyzak; Miroslaw Pawlak (IEEE Trans. Inf. Theory, 1984)

Almost everywhere convergence of a recursive regression function estimate and classification. - Adam Krzyzak; Miroslaw Pawlak (IEEE Trans. Inf. Theory, 1984)

The rates of convergence of kernel regression estimates and classification rules. - Adam Krzyzak (IEEE Trans. Inf. Theory, 1986)

Reconstruction of two dimensional patterns by Fourier descriptors. - Adam Krzyzak; Siu Yun Leung; Ching Y. Suen (ICPR, 1988)

Fourier Descriptors of Two Dimensional Shapes - Reconstruction and Accuracy. - Adam Krzyzak; Siu Yun Leung; Ching Y. Suen (MVA, 1988)

Reconstruction of two-dimensional patterns from Fourier descriptors. - Adam Krzyzak; Siu Yun Leung; Ching Y. Suen (Mach. Vis. Appl., 1989)

Classification of Digitized Curves Represented by Signatures and Fourier Descriptors. - Adam Krzyzak; H. El Buaeshi (Computer Vision and Shape Recognition, 1989)

Classification of large set of handwritten characters using modified back propagation model. - Adam Krzyzak; W. Dai; Ching Y. Suen (IJCNN, 1990)

Motion estimation based on point correspondence using neural network. - P. Y. Zhu; Tony Kasvand; Adam Krzyzak (IJCNN, 1990)

On estimation of a class of nonlinear systems by the kernel regression estimate. - Adam Krzyzak (IEEE Trans. Inf. Theory, 1990)

Neural Nets for Dual Subspace Pattern Recognition Method. - Lei Xu 001; Adam Krzyzak; Erkki Oja (Int. J. Neural Syst., 1991)

On exponential bounds on the Bayes risk of the kernel classification rule. - Adam Krzyzak (IEEE Trans. Inf. Theory, 1991)

On the Recognition of Handwritten Characters using Neural Networks. - Adam Krzyzak; W. Dai; Ching Y. Suen (Pattern Recognition: Architectures, Algorithms and Applications, 1991)

Range image segmentation and fitting by residual consensus. - Xinming Yu; Tien D. Bui; Adam Krzyzak (CVPR, 1992)

Unsupervised and supervised classifications by rival penalized competitive learning. - Lei Xu 001; Adam Krzyzak; Erkki Oja (ICPR (2), 1992)

Global convergence of the recursive kernel regression estimates with applications in classification and nonlinear system estimation. - Adam Krzyzak (IEEE Trans. Inf. Theory, 1992)

Methods of combining multiple classifiers and their applications to handwriting recognition. - Lei Xu 001; Adam Krzyzak; Ching Y. Suen (IEEE Trans. Syst. Man Cybern., 1992)

Segmentation of handwritten digits using contour features. - Nick W. Strathy; Ching Y. Suen; Adam Krzyzak (ICDAR, 1993)

Rival penalized competitive learning for clustering analysis, RBF net, and curve detection. - Lei Xu 001; Adam Krzyzak; Erkki Oja (IEEE Trans. Neural Networks, 1993)

On L1 convergence rate of RBF networks and kernel regression estimators with applications in classification. - Adam Krzyzak; Stan Klasa; Lei Xu 001 (ICPR (2), 1994)

Nonparametric classification using radial basis function nets and empirical risk minimization. - Adam Krzyzak; Tamás Linder; Gábor Lugosi (ICPR (2), 1994)

On Estimation of Nonlinear Systems by Nonparametric Techniques. - Adam Krzyzak; Rolf Unbehauen (ISCAS, 1994)

On radial basis function nets and kernel regression: Statistical consistency, convergence rates, and receptive field size. - Lei Xu 001; Adam Krzyzak; Alan L. Yuille (Neural Networks, 1994)

Robust Estimation for Range Image Segmentation and Reconstruction. - Xinming Yu; Tien Dai Bui; Adam Krzyzak (IEEE Trans. Pattern Anal. Mach. Intell., 1994)

Handwriting Recognition Using Weighted Elastic Matching. - Patrice Scattolin; Adam Krzyzak (Research in Computer and Robot Vision, 1995)

On optimal radial basis function nets and nonlinear function estimates. - Adam Krzyzak (ICNN, 1995)

Radial basis function networks and nonparametric classification: complexity regularization and rates of convergence. - Adam Krzyzak; Tamás Linder (ICPR, 1996)

Fast k-NN classification rule using metric on space-filling curves. - Ewa Skubalska-Rafajlowicz; Adam Krzyzak (ICPR, 1996)

On nonparametric estimation of nonlinear dynamic systems by the Fourier series estimate. - Adam Krzyzak (Signal Process., 1996)

Nonparametric estimation and classification using radial basis function nets and empirical risk minimization. - Adam Krzyzak; Tamás Linder; Gábor Lugosi (IEEE Trans. Neural Networks, 1996)

Exponential weighting algorithms for reconstruction of bandlimited signals. - Miroslaw Pawlak; Ewaryst Rafajlowicz; Adam Krzyzak (IEEE Trans. Signal Process., 1996)

Rates of convergence of the recursive radial basis function networks. - Janusz Mazurek; Adam Krzyzak; Andrzej Cichocki (ICASSP, 1997)

Moving average restoration of bandlimited signals from noisy observations. - Adam Krzyzak; Ewaryst Rafajlowicz; Miroslaw Pawlak (IEEE Trans. Signal Process., 1997)

Radial basis function networks in nonparametric classification and function learning. - Balázs Kégl; Adam Krzyzak; Heinrich Niemann (ICPR, 1998)

A Polygonal Line Algorithm for Constructing Principal Curves. - Balázs Kégl; Adam Krzyzak; Tamás Linder; Kenneth Zeger (NIPS, 1998)

Radial basis function networks and complexity regularization in function learning. - Adam Krzyzak; Tamás Linder (IEEE Trans. Neural Networks, 1998)

Recognition of handwritten numerals by Quantum Neural Network with fuzzy features. - Jie Zhou 023; Qiang Gan 001; Adam Krzyzak; Ching Y. Suen (Int. J. Document Anal. Recognit., 1999)

Radial Basis Function Networks and Complexity Regularization in Function Learning and Classification. - Balázs Kégl; Adam Krzyzak; Heinrich Niemann (ICPR, 2000)

Learning and Design of Principal Curves. - Balázs Kégl; Adam Krzyzak; Tamás Linder; Kenneth Zeger (IEEE Trans. Pattern Anal. Mach. Intell., 2000)

A Multi-Net Local Learning Framework for Pattern Recognition. - Jian-xiong Dong; Adam Krzyzak; Ching Y. Suen (ICDAR, 2001)

Local Learning Framework for Recognition of Lowercase Handwritten Characters. - Jian-xiong Dong; Adam Krzyzak; Ching Y. Suen (MLDM, 2001)

Nonlinear Function Learning and Classification Using Optimal Radial Basis Function Networks. - Adam Krzyzak (MLDM, 2001)

Non-parametric identification of dynamic non-linear systems by a Hermite Series Approach. - Adam Krzyzak; Jerzy Z. Sasiadek; Balázs Kégl (Int. J. Syst. Sci., 2001)

Nonparametric regression estimation using penalized least squares. - Michael Kohler; Adam Krzyzak (IEEE Trans. Inf. Theory, 2001)

A Distribution-Free Theory of Nonparametric Regression. - László Györfi; Michael Kohler; Adam Krzyzak; Harro Walk (Springer, 2002)

Piecewise Linear Skeletonization Using Principal Curves. - Balázs Kégl; Adam Krzyzak (IEEE Trans. Pattern Anal. Mach. Intell., 2002)

Verification - a method of enhancing the recognizers of isolated and touching handwritten numerals. - Jie Zhou 023; Adam Krzyzak; Ching Y. Suen (Pattern Recognit., 2002)

A Fast Parallel Optimization for Training Support Vector Machine. - Jian-xiong Dong; Adam Krzyzak; Ching Y. Suen (MLDM, 2003)

A Fast SVM Training Algorithm. - Jian-xiong Dong; Ching Y. Suen; Adam Krzyzak (Int. J. Pattern Recognit. Artif. Intell., 2003)

Contour-based handwritten numeral recognition using multiwavelets and neural networks. - Guangyi Chen 001; Tien D. Bui; Adam Krzyzak (Pattern Recognit., 2003)

Postfiltering versus prefiltering for signal recovery from noisy samples. - Miroslaw Pawlak; Ewaryst Rafajlowicz; Adam Krzyzak (IEEE Trans. Inf. Theory, 2003)

A SVM-based framework for autonomous volumetric medical image segmentation using hierarchical and coupled level sets. - Shuo Li 001; Thomas Fevens; Adam Krzyzak (CARS, 2004)

Combining Space-Filling Curves and Radial Basis Function Networks. - Adam Krzyzak; Ewa Skubalska-Rafajlowicz (ICAISC, 2004)

Adaptive regression estimation with multilayer feedforward neural networks. - Michael Kohler; Adam Krzyzak (ISIT, 2004)

Image Segmentation Adapted for Clinical Settings by Combining Pattern Classification and Level Sets. - Shuo Li 001; Thomas Fevens; Adam Krzyzak (MICCAI (1), 2004)

Cursive word skew/slant corrections based on Radon transform. - Jian-xiong Dong; Dominique Ponson; Adam Krzyzak; Ching Y. Suen (ICDAR, 2005)

Algorithms of fast SVM evaluation based on subspace projection. - Jian-xiong Dong; Ching Y. Suen; Adam Krzyzak (IJCNN, 2005)

Rates of convergence for adaptive regression estimates with multiple hidden layer feedforward neural networks. - Michael Kohler; Adam Krzyzak (ISIT, 2005)

Toward Automatic Computer Aided Dental X-ray Analysis Using Level Set Method. - Shuo Li 001; Thomas Fevens; Adam Krzyzak; Chao Jin; Song Li 003 (MICCAI, 2005)

A level set segmentation for computer-aided dental x-ray analysis. - Shuo Li 001; Thomas Fevens; Adam Krzyzak; Song Li 003 (Image Processing, 2005)

Low-Level Cursive Word Representation Based on Geometric Decomposition. - Jian-xiong Dong; Adam Krzyzak; Ching Y. Suen; Dominique Ponson (MLDM, 2005)

Automatic Clinical Image Segmentation Using Pathological Modelling, PCA and SVM. - Shuo Li 001; Thomas Fevens; Adam Krzyzak; Song Li 003 (MLDM, 2005)

Image denoising using neighbouring wavelet coefficients. - Guangyi Chen 001; Tien D. Bui; Adam Krzyzak (Integr. Comput. Aided Eng., 2005)

Fast SVM Training Algorithm with Decomposition on Very Large Data Sets. - Jian-xiong Dong; Adam Krzyzak; Ching Y. Suen (IEEE Trans. Pattern Anal. Mach. Intell., 2005)

Image denoising with neighbour dependency and customized wavelet and threshold. - Guangyi Chen 001; Tien D. Bui; Adam Krzyzak (Pattern Recognit., 2005)

Rotation invariant pattern recognition using ridgelets, wavelet cycle-spinning and Fourier features. - Guangyi Chen 001; Tien D. Bui; Adam Krzyzak (Pattern Recognit., 2005)

An improved handwritten Chinese character recognition system using support vector machine. - Jian-xiong Dong; Adam Krzyzak; Ching Y. Suen (Pattern Recognit. Lett., 2005)

Nonparametric regression estimation by normalized radial basis function networks. - Adam Krzyzak; Dominik Schäfer (IEEE Trans. Inf. Theory, 2005)

Nonlinear Function Learning by the Normalized Radial Basis Function Networks. - Adam Krzyzak; Dominik Schäfer (ICAISC, 2006)

Palmprint Classification using Dual-Tree Complex Wavelets. - Guangyi Chen 001; Tien D. Bui; Adam Krzyzak (ICIP, 2006)

Invariant Ridgelet-Fourier Descriptor for Pattern Recognition. - Guangyi Chen 001; Tien D. Bui; Adam Krzyzak (ICPR (2), 2006)

Fast and Robust Clinical Triple-Region Image Segmentation Using One Level Set Function. - Shuo Li 001; Thomas Fevens; Adam Krzyzak; Chao Jin; Song Li 003 (MICCAI (2), 2006)

An automatic variational level set segmentation framework for computer aided dental X-rays analysis in clinical environments. - Shuo Li 001; Thomas Fevens; Adam Krzyzak; Song Li 003 (Comput. Medical Imaging Graph., 2006)

Automatic clinical image segmentation using pathological modeling, PCA and SVM. - Shuo Li 001; Thomas Fevens; Adam Krzyzak; Song Li 003 (Eng. Appl. Artif. Intell., 2006)

Rotation invariant feature extraction using Ridgelet and Fourier transforms. - Guangyi Chen 001; Tien D. Bui; Adam Krzyzak (Pattern Anal. Appl., 2006)

Computer aided root lesion detection using level set and complex wavelets. - Shuo Li 001; Thomas Fevens; Adam Krzyzak; Chao Jin; Song Li 003 (Computer-Aided Diagnosis, 2007)

Semi-automatic computer aided lesion detection in dental X-rays using variational level set. - Shuo Li 001; Thomas Fevens; Adam Krzyzak; Chao Jin; Song Li 003 (Pattern Recognit., 2007)

On the Rate of Convergence of Local Averaging Plug-In Classification Rules Under a Margin Condition. - Michael Kohler; Adam Krzyzak (IEEE Trans. Inf. Theory, 2007)

Comparison of Pleomorphic and Structural Features Used for Breast Cancer Malignancy Classification. - Lukasz Jelen; Adam Krzyzak; Thomas Fevens (Canadian AI, 2008)

Nonlinear Function Learning Using Radial Basis Function Networks: Convergence and Rates. - Adam Krzyzak; Dominik Schäfer (ICAISC, 2008)

Cell Phones Personal Authentication Systems Using Multimodal Biometrics. - Joanna Rokita; Adam Krzyzak; Ching Y. Suen (ICIAR, 2008)

A new courtesy amount recognition module of a Check Reading System. - Wu Ding; Ching Y. Suen; Adam Krzyzak (ICPR, 2008)

Effective shrinkage of large multi-class linear svm models for text categorization. - Jian-xiong Dong; Ching Y. Suen; Adam Krzyzak (ICPR, 2008)

Classification of Breast Cancer Malignancy Using Cytological Images of Fine Needle Aspiration Biopsies. - Lukasz Jelen; Thomas Fevens; Adam Krzyzak (Int. J. Appl. Math. Comput. Sci., 2008)

Multimodal Biometrics by Face and Hand Images Taken by a Cell Phone Camera. - Joanna Rokita; Adam Krzyzak; Ching Y. Suen (Int. J. Pattern Recognit. Artif. Intell., 2008)

On Improving the Efficiency of Eigenface Using a Novel Facial Feature Localization. - Aleksey Izmailov; Adam Krzyzak (ICIAP, 2009)

Automated Multimodal Biometrics Using Face and Ear. - Lorenzo Luciano; Adam Krzyzak (ICIAR, 2009)

On application of nonparametric regression estimation to options pricing. - Michael Kohler; Adam Krzyzak; Harro Walk (ISIT, 2009)

Influence of nuclei segmentation on breast cancer malignancy classification. - Lukasz Jelen; Thomas Fevens; Adam Krzyzak (Computer-Aided Diagnosis, 2009)

Invariant pattern recognition using radon, dual-tree complex wavelet and Fourier transforms. - Guangyi Chen 001; Tien D. Bui; Adam Krzyzak (Pattern Recognit., 2009)

Pattern Recognition with Linearly Structured Labels Using Recursive Kernel Estimator. - Adam Krzyzak; Ewaryst Rafajlowicz (ICAISC (1), 2010)

Radial Basis Function Networks with optimal kernels. - Adam Krzyzak (ISIT, 2011)

Counting of RBCs and WBCs in noisy normal blood smear microscopic images. - Mehdi Habibzadeh; Adam Krzyzak; Thomas Fevens; Ali Sadr (Computer-Aided Diagnosis, 2011)

Accurate feature matching for autonomous vehicle navigation in urban environments. - Jerzy Z. Sasiadek; Mark J. Walker; Adam Krzyzak (MMAR, 2011)

Denoising of Three-Dimensional Data Cube Using bivariate Wavelet Shrinking. - Guangyi Chen 001; Tien D. Bui; Adam Krzyzak (Int. J. Pattern Recognit. Artif. Intell., 2011)

Why L1 view and what is next? - László Györfi; Adam Krzyzak (Kybernetika, 2011)

Application of Pattern Recognition Techniques for the Analysis of Histopathological Images. - Adam Krzyzak; Thomas Fevens; Mehdi Habibzadeh; Lukasz Jelen (Computer Recognition Systems 4, 2011)

Adaptive video denoising using block matching 3-D filtering. - Guangyi Chen 001; Tien Dai Bui; Adam Krzyzak; Stéphane Coulombe (CCECE, 2012)

Dimensionality Reduction Using External Context in Pattern Recognition Problems with Ordered Labels. - Ewa Skubalska-Rafajlowicz; Adam Krzyzak; Ewaryst Rafajlowicz (ICAISC (1), 2012)

Analysis of White Blood Cell Differential Counts Using Dual-Tree Complex Wavelet Transform and Support Vector Machine Classifier. - Mehdi Habibzadeh; Adam Krzyzak; Thomas Fevens (ICCVG, 2012)

Oversampling Methods for Classification of Imbalanced Breast Cancer Malignancy Data. - Bartosz Krawczyk; Lukasz Jelen; Adam Krzyzak; Thomas Fevens (ICCVG, 2012)

Nonparametric identification of robot flexible joint space manipulator. - Adam Krzyzak; Jerzy Z. Sasiadek; Steve Ulrich (MMAR, 2012)

Nonparametric estimation of non-stationary velocity fields from 3D particle tracking velocimetry data. - Michael Kohler; Adam Krzyzak (Comput. Stat. Data Anal., 2012)

An affine invariant k-nearest neighbor regression estimate. - Gérard Biau; Luc Devroye; Vida Dujmovic; Adam Krzyzak (J. Multivar. Anal., 2012)

Editorial. - Adam Krzyzak (Trans. Mach. Learn. Data Min., 2012)

A new approach to short-time harmonic analysis of tonal audio signals using harmonic sinusoidals. - Ali Jannatpour; Adam Krzyzak; Douglas D. O'Shaughnessy (CCECE, 2013)

White Blood Cell Differential Counts Using Convolutional Neural Networks for Low Resolution Images. - Mehdi Habibzadeh; Adam Krzyzak; Thomas Fevens (ICAISC (2), 2013)

Support Vector Machine with Customized Kernel. - Guangyi Chen 001; Tien Dai Bui; Adam Krzyzak; Weihua Liu (ISNN (1), 2013)

Invariant Object Recognition Using Radon and Fourier Transforms. - Guangyi Chen 001; Tien Dai Bui; Adam Krzyzak; Yongjia Zhao (ISNN (1), 2013)

A Novel Approach for Automatic Detection and Classification of Suspicious Lesions in Breast Ultrasound Images. - Behnam Karimi; Adam Krzyzak (J. Artif. Intell. Soft Comput. Res., 2013)

Computer-Aided Breast Cancer Diagnosis Based on the Analysis of Cytological Images of Fine Needle Biopsies. - Pawel Filipczuk; Thomas Fevens; Adam Krzyzak; Roman Monczak (IEEE Trans. Medical Imaging, 2013)

Analysis of Feature Maps Selection in Supervised Learning Using Convolutional Neural Networks. - Joseph Lin Chu; Adam Krzyzak (Canadian AI, 2014)

Convex Cardinality Restricted Boltzmann Machine and Its Application to Pattern Recognition. - Mina Yousefi; Adam Krzyzak; Ching Y. Suen (Canadian AI, 2014)

Comparative Study of Feature Selection for White Blood Cell Differential Counts in Low Resolution Images. - Mehdi Habibzadeh; Adam Krzyzak; Thomas Fevens (ANNPR, 2014)

A new approach for binary feature selection and combining classifiers. - Asai Asaithambi; Ventzeslav Valev; Adam Krzyzak; Vesna Zeljkovic (HPCS, 2014)

Application of Support Vector Machines, Convolutional Neural Networks and Deep Belief Networks to Recognition of Partially Occluded Objects. - Joseph Lin Chu; Adam Krzyzak (ICAISC (1), 2014)

Computer-Aided System for Automatic Classification of Suspicious Lesions in Breast Ultrasound Images. - Behnam Karimi; Adam Krzyzak (ICAISC (2), 2014)

One-Class Classification Decomposition for Imbalanced Classification of Breast Cancer Malignancy Data. - Bartosz Krawczyk; Lukasz Jelen; Adam Krzyzak; Thomas Fevens (ICAISC (1), 2014)

Density estimation using real and artificial data. - Tina Felber; Michael Kohler; Adam Krzyzak (ISIT, 2014)

Nonparametric identification and control of flexible joint robot manipulator. - Jerzy Z. Sasiadek; Anthony Green; Steve Ulrich; Adam Krzyzak (MMAR, 2014)

Web-Based Framework For Breast Cancer Classification. - Tomasz Bruzdzinski; Adam Krzyzak; Thomas Fevens; Lukasz Jelen (J. Artif. Intell. Soft Comput. Res., 2014)

The Recognition Of Partially Occluded Objects with Support Vector Machines, Convolutional Neural Networks and Deep Belief Networks. - Joseph Lin Chu; Adam Krzyzak (J. Artif. Intell. Soft Comput. Res., 2014)

Adaptation of RBM Learning for Intel MIC Architecture. - Tomasz Olas; Wojciech K. Mleczko; Robert K. Nowicki; Roman Wyrzykowski; Adam Krzyzak (ICAISC (1), 2015)

Performance Evaluation of the Silhouette Index. - Artur Starczewski; Adam Krzyzak (ICAISC, 2015)

Nonparametric recursive identification and control of a flexible joint robot manipulator. - Jerzy Z. Sasiadek; Anthony Green; Adam Krzyzak (MMAR, 2015)

Adaptive Density Estimation From Data With Small Measurement Errors. - Tina Felber; Michael Kohler; Adam Krzyzak (IEEE Trans. Inf. Theory, 2015)

3D Tomosynthesis to Detect Breast cancer. - Yanbin Lu; Mina Yousefi; John Ellenberger; Richard H. Moore; Daniel B. Kopans; Adam Krzyzak; Ching Y. Suen (Handbook of Pattern Recognition and Computer Vision, 2016)

Recognizing Predatory Chat Documents using Semi-supervised Anomaly Detection. - Mohammad Reza Ebrahimi; Ching Y. Suen; Olga Ormandjieva; Adam Krzyzak (Document Recognition and Retrieval, 2016)

On the Cesàro-Means-Based Orthogonal Series Approach to Learning Time-Varying Regression Functions. - Piotr Duda; Lena Pietruczuk; Maciej Jaworski; Adam Krzyzak (ICAISC (2), 2016)

A Modification of the Silhouette Index for the Improvement of Cluster Validity Assessment. - Artur Starczewski; Adam Krzyzak (ICAISC (2), 2016)

A new geometrical approach for solving the supervised pattern recognition problem. - Ventzeslav Valev; Nicola Yanev; Adam Krzyzak (ICPR, 2016)

The rates of convergence of neural network estimates of hierarchical interaction regression models. - Michael Kohler; Adam Krzyzak (ISIT, 2016)

Influence of feature set reduction on breast cancer malignancy classification of fine needle aspiration biopsies. - Lukasz Jelen; Adam Krzyzak; Thomas Fevens; Michal Jelen (Comput. Biol. Medicine, 2016)

Sparse support vector machine for pattern recognition. - Guangyi Chen 001; Tien D. Bui; Adam Krzyzak (Concurr. Comput. Pract. Exp., 2016)

A novel technique for detecting suspicious lesions in breast ultrasound images. - Behnam Karimi; Adam Krzyzak (Concurr. Comput. Pract. Exp., 2016)

Empirical Comparison of Nonparametric Regression Estimates on Real Data. - Daniel Jones; Michael Kohler; Adam Krzyzak; Alexander Richter (Commun. Stat. Simul. Comput., 2016)

Nonparametric Quantile Estimation Based on Surrogate Models. - Georg C. Enss; Michael Kohler; Adam Krzyzak; Roland Platz (IEEE Trans. Inf. Theory, 2016)

Recent Results on Nonparametric Quantile Estimation in a Simulation Model. - Adam Krzyzak (Challenges in Computational Statistics and Data Mining, 2016)

Cytological malignancy grading systems for fine needle aspiration biopsies of breast cancer. - Muneera Alsaedi; Thomas Fevens; Adam Krzyzak; Lukasz Jelen (BIBM, 2017)

Some Properties of Consensus-Based Classification. - Vitaliy Tayanov; Adam Krzyzak; Ching Y. Suen (CORES, 2017)

Convergence and Rates of Convergence of Recursive Radial Basis Functions Networks in Function Learning and Classification. - Adam Krzyzak; Marian Partyka (ICAISC (1), 2017)

A Study of Cluster Validity Indices for Real-Life Data. - Artur Starczewski; Adam Krzyzak (ICAISC (2), 2017)

Improvement of the Validity Index for Determination of an Appropriate Data Partitioning. - Artur Starczewski; Adam Krzyzak (ICAISC (2), 2017)

Classification Boosting by Data Decomposition Using Consensus-Based Combination of Classifiers. - Vitaliy Tayanov; Adam Krzyzak; Ching Y. Suen (ICIAR, 2017)

Direct fuzzy adaptive control and nonparametric identification of robot manipulator with elastic joints. - Jurek Z. Sasiadek; Steve Ulrich; Adam Krzyzak (MMAR, 2017)

Nonparametric estimation of a function from noiseless observations at random points. - Benedikt Bauer; Luc Devroye; Michael Kohler; Adam Krzyzak; Harro Walk (J. Multivar. Anal., 2017)

Nonparametric estimation of a latent variable model. - Augustin Kelava; Michael Kohler; Adam Krzyzak; Tim Fabian Schaffland (J. Multivar. Anal., 2017)

Nonparametric Regression Based on Hierarchical Interaction Models. - Michael Kohler; Adam Krzyzak (IEEE Trans. Inf. Theory, 2017)

Learning and Convergence of the Normalized Radial Basis Functions Networks. - Adam Krzyzak; Marian Partyka (ICAISC (1), 2018)

Computerized Counting-Based System for Acute Lymphoblastic Leukemia Detection in Microscopic Blood Images. - Karima Ben Suliman; Adam Krzyzak (ICANN (2), 2018)

Prediction-based classification using learning on Riemannian manifolds. - Vitaliy Tayanov; Adam Krzyzak; Ching Y. Suen (ICPR, 2018)

Trajectory Tracking and Nonparametric Identification of Flexible Space Robot Manipulators. - Jurek Z. Sasiadek; Steve Ulrich; Adam Krzyzak (MMAR, 2018)

Supervised Classification Using Feature Space Partitioning. - Ventzeslav Valev; Nicola Yanev; Adam Krzyzak; Karima Ben Suliman (S+SSPR, 2018)

Mass detection in digital breast tomosynthesis data using convolutional neural networks and multiple instance learning. - Mina Yousefi; Adam Krzyzak; Ching Y. Suen (Comput. Biol. Medicine, 2018)

Filter-based face recognition under varying illumination. - Guangyi Chen 001; Tien D. Bui; Adam Krzyzak (IET Biom., 2018)

Adaptive Estimation of Quantiles in a Simulation Model. - Michael Kohler; Adam Krzyzak (IEEE Trans. Inf. Theory, 2018)

Supervised Classification Box Algorithm Based on Graph Partitioning. - Ventzeslav Valev; Nicola Yanev; Adam Krzyzak; Karima Ben Suliman (CORES, 2019)

On Learning and Convergence of RBF Networks in Regression Estimation and Classification. - Adam Krzyzak; Marian Partyka (ICAISC (1), 2019)

Deep Neural Networks for Breast Cancer Diagnosis: Fine Needle Biopsy Scenario. - Bartosz Miselis; Thomas Fevens; Adam Krzyzak; Marek Kowal; Roman Monczak (PCBBE, 2019)

Deep Learning and MARS: A Connection. - Michael Kohler; Adam Krzyzak; Sophie Langer (CoRR, 2019)

Supervised classification using graph-based space partitioning. - Nicola Yanev; Ventzeslav Valev; Adam Krzyzak; Karima Ben Suliman (Pattern Recognit. Lett., 2019)

Estimation of a Density From an Imperfect Simulation Model. - Michael Kohler; Adam Krzyzak (IEEE Trans. Inf. Theory, 2019)

Genre-ous: The Movie Genre Detector. - Amr Shahin; Adam Krzyzak (ACIIDS (Companion), 2020)

Breast Cancer Classification from Histopathological Images Using Transfer Learning and Deep Neural Networks. - Abdulrahman Aloyayri; Adam Krzyzak (ICAISC (1), 2020)

A New Approach to Detection of Abrupt Changes in Black-and-White Images. - Tomasz Galkowski; Adam Krzyzak (ICAISC (2), 2020)

An Empirical Evaluation of Attention and Pointer Networks for Paraphrase Generation. - Varun Gupta; Adam Krzyzak (ICCS (3), 2020)

Classification of Lung Diseases Using Deep Learning Models. - Matthew Zak; Adam Krzyzak (ICCS (3), 2020)

Edge Curve Estimation by the Nonparametric Parzen Kernel Method. - Tomasz Galkowski; Adam Krzyzak (ICONIP (4), 2020)

Comparison of Stacking-based Classifier Ensembles using Euclidean and Riemannian Geometries. - Vitaliy Tayanov; Adam Krzyzak; Ching Y. Suen (ICPR, 2020)

Supervised Classification Using Graph-based Space Partitioning for Multiclass Problems. - Nicola Yanev; Ventzeslav Valev; Karima Ben Suliman; Adam Krzyzak (ICPR, 2020)

Predicting US Elections with Social Media and Neural Networks. - Ellison Chan; Adam Krzyzak; Ching Y. Suen (ICPRAI, 2020)

Manifold-Based Classifier Ensembles. - Vitaliy Tayanov; Adam Krzyzak; Ching Y. Suen (ICPRAI, 2020)

On the rate of convergence of image classifiers based on convolutional neural networks. - Michael Kohler; Adam Krzyzak; Benjamin Walter 001 (CoRR, 2020)

On the rate of convergence of a deep recurrent neural network estimate in a regression problem with dependent data. - Michael Kohler; Adam Krzyzak (CoRR, 2020)

A New Approach to Detection of Changes in Multidimensional Patterns. - Tomasz Galkowski; Adam Krzyzak; Zbigniew Filutowicz (J. Artif. Intell. Soft Comput. Res., 2020)

Abrupt Change Detection by the Nonparametric Approach Based on Orthogonal Series Estimates. - Tomasz Galkowski; Adam Krzyzak (ICAISC (1), 2021)

Convergence properties of radial basis functions networks in function learning. - Adam Krzyzak; Heinrich Niemann (KES, 2021)

Ensemble Learning Using Matrices of Classifier Interactions and Decision Profiles on Riemannian and Grassmann Manifolds. - Vitaliy Tayanov; Adam Krzyzak; Ching Y. Suen (Int. J. Pattern Recognit. Artif. Intell., 2021)

An FFT-based visual quality metric robust to spatial shift. - Guangyi Chen 001; Adam Krzyzak (Int. J. Wavelets Multiresolution Inf. Process., 2021)

Noise reduction of shot-noise-dominated hyperspectral imagery by combining PCA with existing denoising methods. - Guangyi Chen 001; Adam Krzyzak (Int. J. Wavelets Multiresolution Inf. Process., 2021)

A New Approach to Detection of Changes in Multidimensional Patterns - Part II. - Tomasz Galkowski; Adam Krzyzak; Zofia Patora-Wysocka; Zbigniew Filutowicz; Lipo Wang (J. Artif. Intell. Soft Comput. Res., 2021)

Convergence of RBF Networks Regression Function Estimates and Classifiers. - Adam Krzyzak; Tomasz Galkowski; Marian Partyka (ICAISC (1), 2022)

Fast Estimation of Multidimensional Regression Functions. - Tomasz Galkowski; Adam Krzyzak; Piotr Dziwiñski (ICARCV, 2022)

Illumination Invariant Face Recognition Using Directional Gradient Maps. - Guangyi Chen 001; Wenfang Xie; Adam Krzyzak (ICIC (1), 2022)

Fast Estimation of Multidimensional Regression Functions by the Parzen Kernel-Based Method. - Tomasz Galkowski; Adam Krzyzak (ICONIP (4), 2022)

Analysis of Different Deep Learning Architectures to Learn Generalised Classifier Stacking on Riemannian and Grassmann Manifolds. - Vitaliy Tayanov; Adam Krzyzak; Ching Y. Suen (ICPR, 2022)

Dynamic Latent Scale for GAN Inversion. - Jeongik Cho; Adam Krzyzak (ICPRAM, 2022)

Taking Advantage of Typical Testor Algorithms for Computing Non-reducible Descriptors. - Manuel S. Lazo-Cortés; José Fco. Martínez-Trinidad; Jesús Ariel Carrasco-Ochoa; Ventzeslav Valev; Mohammad Amin Shamshiri; Adam Krzyzak (ICPRAM, 2022)

Refining AttnGAN Using Attention on Attention Network. - Naitik Bhise; Adam Krzyzak; Tien D. Bui (S+SSPR, 2022)

A New Preprocessing Method for Measuring Image Visual Quality Robust to Rotation and Spatial Shifts. - Guangyi Chen 001; Adam Krzyzak; Ventzeslav Valev (S+SSPR, 2022)

Self-supervised Out-of-Distribution Detection with Dynamic Latent Scale GAN. - Jeongik Cho; Adam Krzyzak (S+SSPR, 2022)

Hyperspectral imagery classification with minimum noise fraction, 2D spatial filtering and SVM. - Guangyi Chen 001; Adam Krzyzak; Shen-En Qian (Int. J. Wavelets Multiresolution Inf. Process., 2022)

Noise Robust Illumination Invariant Face Recognition Via Bivariate Wavelet Shrinkage in Logarithm Domain. - Guang Yi Chen 001; Adam Krzyzak; Piotr Duda; Andrzej Cader (J. Artif. Intell. Soft Comput. Res., 2022)

Hyperspectral face recognition with histogram of oriented gradient features and collaborative representation-based classifier. - Guang Yi Chen 001; Adam Krzyzak; Wen-Fang Xie (Multim. Tools Appl., 2022)

Estimation of a Function of Low Local Dimensionality by Deep Neural Networks. - Michael Kohler; Adam Krzyzak; Sophie Langer (IEEE Trans. Inf. Theory, 2022)

Learning Bezier-Durrmeyer Type Descriptors for Classifying Curves - Preliminary Studies. - Adam Krzyzak; Wojciech Rafajlowicz; Ewaryst Rafajlowicz (ICAISC (1), 2023)

Learning Shape-Preserving Autoencoder for the Reconstruction of Functional Data from Noisy Observations. - Adam Krzyzak; Wojciech Rafajlowicz; Ewaryst Rafajlowicz (ICCS (2), 2023)

Improved Blind Image Denoising with DnCNN. - Guangyi Chen 001; Wenfang Xie; Adam Krzyzak (ICIC (2), 2023)

An Experimental Study on MRI Denoising with Existing Image Denoising Methods. - Guangyi Chen 001; Wenfang Xie; Adam Krzyzak (ICIC (2), 2023)

A Robust Preprocessing Method for Measuring Image Visual Quality Using Log-Polar FFT Features. - Guang Yi Chen 001; Adam Krzyzak; Ventzeslav Valev (IWAIPR, 2023)

On the rate of convergence of an over-parametrized Transformer classifier learned by gradient descent. - Michael Kohler; Adam Krzyzak (CoRR, 2023)

Invariant Pattern Recognition with Log-Polar Transform and Dual-Tree Complex Wavelet-Fourier Features. - Guangyi Chen 001; Adam Krzyzak (Sensors, 2023)

Compatible-domain Transfer Learning for Breast Cancer Classification with Limited Annotated Data. - Mohammad Amin Shamshiri; Adam Krzyzak; Marek Kowal; Józef Korbicz (Comput. Biol. Medicine, 2023)

Palmprint Classification via Filter Faces and Feature Extraction. - Guang Yi Chen 001; Adam Krzyzak; Ventzeslav Valev (ANNPR, 2024)

Comparative Study of Deep Learning Models in Melanoma Detection. - Farnaz Haghshenas; Adam Krzyzak; Stanislaw Osowski (ANNPR, 2024)

Vision Transformer Features-Based Leukemia Classification. - Karima Ben Suliman; Adam Krzyzak (ANNPR, 2024)

Eigenmaps - Modified PCA-Based Approach for Dimensionality Reduction of Multivariate Time Series of Geospatial Data. - Ewa Skubalska-Rafajlowicz; Adam Krzyzak; Michal Piórek (ICAISC (2), 2024)

Hyperspectral Face Recognition via Existing 2D Face Recognition Methods. - Guangyi Chen 001; Wenfang Xie; Adam Krzyzak (ICIC (5), 2024)

Rate of Convergence of an Over-Parametrized Convolutional Neural Network Image Classifier Learned by Gradient Descent. - Michael Kohler; Benjamin Walter 001; Adam Krzyzak (ISIT, 2024)

MobileNetV3 Layer Sensitivity and Sparsity. - Belal Nwiran; Adam Krzyzak (SERP4IoT, 2024)

Analysis of the rate of convergence of an over-parametrized convolutional neural network image classifier learned by gradient descent. - Michael Kohler; Adam Krzyzak; Benjamin Walter 001 (CoRR, 2024)

Designing shape-preserving descriptors for classifying signals with application to vibrations of large mechanical structures. - Adam Krzyzak; Jedrzej Wieckowski; Wojciech Rafajlowicz; Przemyslaw Moczko; Ewaryst Rafajlowicz (Knowl. Based Syst., 2024)

Face recognition via selective denoising, filter faces and hog features. - Guang Yi Chen 001; Adam Krzyzak (Signal Image Video Process., 2024)

Wavelet-based 3D Data Cube Denoising Using Three Scales of Dependency. - Guangyi Chen 001; Adam Krzyzak (Circuits Syst. Signal Process., 2024)

Illumination invariant face recognition via multiscale filter faces and voting technique. - Guang Yi Chen 001; Adam Krzyzak (Signal Image Video Process., 2024)

Efficient integration of perceptual variational autoencoder into dynamic latent scale generative adversarial network. - Jeongik Cho; Adam Krzyzak (Expert Syst. J. Knowl. Eng., 2024)

Statistically guided deep learning. - Michael Kohler; Adam Krzyzak (CoRR, 2025)

Analysis of the Rate of Convergence of an Over-Parametrized Deep Neural Network Estimate Learned by Gradient Descent. - Michael Kohler; Adam Krzyzak (IEEE Trans. Inf. Theory, 2025)