Adam Krzyzak

发表

Low-Level Cursive Word Representation Based on Geometric Decomposition

Jian-xiong Dong, Adam Krzyzak, Ching Y. Suen, 2005, MLDM.

Piecewise linear skeletonization using principal curves

Adam Krzyzak, Balázs Kégl, B. Kégl, 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

Filter-based face recognition under varying illumination

Adam Krzyzak, Guangyi Chen, Tien D. Bui, 2018, IET Biom..

Estimation of discrete hammerstein system by recursive kernel regression estimate

Adam Krzyzak, 1987 .

Motion estimation based on point correspondence using neural network

Adam Krzyzak, P. Y. Zhu, Tony Kasvand, 1990, 1990 IJCNN International Joint Conference on Neural Networks.

A Fast SVM Training Algorithm

Jian-xiong Dong, Adam Krzyzak, Ching Y. Suen, 2003, Int. J. Pattern Recognit. Artif. Intell..

Range image segmentation and fitting by residual consensus

Adam Krzyzak, X. Yu, Tien D. Bui, 1992, Proceedings 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Radial basis function networks in nonparametric classification and function learning

Heinrich Niemann, Adam Krzyzak, Balázs Kégl, 1998, Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170).

Recent Results on Nonparametric Quantile Estimation in a Simulation Model

Adam Krzyzak, A. Krzyżak, 2016, Challenges in Computational Statistics and Data Mining.

Almost everywhere convergence of a recursive regression function estimate and classification

Adam Krzyzak, Miroslaw Pawlak, A. Krzyżak, 1984, IEEE Trans. Inf. Theory.

Trajectory Tracking and Nonparametric Identification of Flexible Space Robot Manipulators

Adam Krzyzak, Steve Ulrich, Jerzy Z. Sasiadek, 2018, 2018 23rd International Conference on Methods & Models in Automation & Robotics (MMAR).

Some Properties of Consensus-Based Classification

Adam Krzyzak, Ching Y. Suen, Vitaliy Tayanov, 2017, CORES.

Adaptation of RBM Learning for Intel MIC Architecture

Adam Krzyzak, Robert Nowicki, Roman Wyrzykowski, 2015, ICAISC.

Nonparametric classification using radial basis function nets and empirical risk minimization

Adam Krzyzak, Tamás Linder, Gábor Lugosi, 1994, Proceedings of the 12th IAPR International Conference on Pattern Recognition, Vol. 3 - Conference C: Signal Processing (Cat. No.94CH3440-5).

Multimodal Biometrics by Face and Hand Images Taken by a Cell Phone Camera

Adam Krzyzak, Ching Y. Suen, Joanna Rokita, 2008, Int. J. Pattern Recognit. Artif. Intell..

Influence of nuclei segmentation on breast cancer malignancy classification

Adam Krzyzak, Thomas Fevens, Lukasz Jelen, 2009, Medical Imaging.

Cell Phones Personal Authentication Systems Using Multimodal Biometrics

Adam Krzyzak, Ching Y. Suen, Joanna Rokita, 2008, ICIAR.

Nonlinear Function Learning by the Normalized Radial Basis Function Networks

Adam Krzyzak, Dominik Schäfer, A. Krzyżak, 2006, ICAISC.

A new approach to short-time harmonic analysis of tonal audio signals using harmonic sinusoidals

Douglas D. O'Shaughnessy, Adam Krzyzak, Ali Jannatpour, 2013, 2013 26th IEEE Canadian Conference on Electrical and Computer Engineering (CCECE).

Accurate feature matching for autonomous vehicle navigation in urban environments

Adam Krzyzak, Jerzy Z. Sasiadek, Mark J. Walker, 2011, 2011 16th International Conference on Methods & Models in Automation & Robotics.

Dimensionality Reduction Using External Context in Pattern Recognition Problems with Ordered Labels

Adam Krzyzak, Ewaryst Rafajlowicz, Ewa Skubalska-Rafajlowicz, 2012, ICAISC.

Recognizing Predatory Chat Documents using Semi-supervised Anomaly Detection

Adam Krzyzak, Ching Y. Suen, Olga Ormandjieva, 2016, Document Recognition and Retrieval.

A Distribution-Free Theory of Nonparametric Regression

Adam Krzyzak, László Györfi, Michael Kohler, 2002, Springer series in statistics.

Rates of convergence of the recursive radial basis function networks

Adam Krzyzak, Andrzej Cichocki, Janusz Mazurek, 1997, 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Nonparametric Quantile Estimation Based on Surrogate Models

Adam Krzyzak, Roland Platz, Michael Kohler, 2016, IEEE Transactions on Information Theory.

Adaptive Density Estimation From Data With Small Measurement Errors

Adam Krzyzak, Michael Kohler, Tina Felber, 2015, IEEE Transactions on Information Theory.

Edge Curve Estimation by the Nonparametric Parzen Kernel Method

Adam Krzyzak, Tomasz Galkowski, A. Krzyżak, 2020, ICONIP.

Fast SVM training algorithm with decomposition on very large data sets

Jian-xiong Dong, Adam Krzyzak, Ching Y. Suen, 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Nonlinear Function Learning Using Radial Basis Function Networks: Convergence and Rates

Adam Krzyzak, Dominik Schäfer, A. Krzyżak, 2006, ICAISC.

Computer-Aided System for Automatic Classification of Suspicious Lesions in Breast Ultrasound Images

Adam Krzyzak, Behnam Karimi, A. Krzyżak, 2014, ICAISC.

Radial Basis Function Networks and Complexity Regularization in Function Learning

Adam Krzyzak, Tamás Linder, T. Linder, 2022 .

Reconstruction of two-dimensional patterns from Fourier descriptors

Adam Krzyzak, Ching Y. Suen, Siu Yun Leung, 2005, Machine Vision and Applications.

An improved handwritten Chinese character recognition system using support vector machine

Jian-xiong Dong, Adam Krzyzak, Ching Y. Suen, 2005, Pattern Recognit. Lett..

Classification procedures using multivariate variable kernel density estimate

Adam Krzyzak, A. Krzyżak, 1983, Pattern Recognit. Lett..

Mass detection in digital breast tomosynthesis data using convolutional neural networks and multiple instance learning

Adam Krzyzak, Ching Y. Suen, Mina Yousefi, 2018, Comput. Biol. Medicine.

Fast k-NN classification rule using metric on space-filling curves

Adam Krzyzak, Ewa Skubalska-Rafajlowicz, 1996, Proceedings of 13th International Conference on Pattern Recognition.

Support Vector Machine with Customized Kernel

Adam Krzyzak, Weihua Liu, Guangyi Chen, 2013, ISNN.

Distribution-free consistency of a nonparametric kernel regression estimate and classification

Adam Krzyzak, Miroslaw Pawlak, A. Krzyżak, 1984, IEEE Trans. Inf. Theory.

On the Cesàro-Means-Based Orthogonal Series Approach to Learning Time-Varying Regression Functions

Adam Krzyzak, Piotr Duda, Maciej Jaworski, 2016, ICAISC.

A Fast SVM Training Algorithm

Jian-xiong Dong, Adam Krzyzak, Ching Y. Suen, 2002, SVM.

A New Approach to Detection of Abrupt Changes in Black-and-White Images

Adam Krzyzak, Tomasz Galkowski, 2020, ICAISC.

Counting of RBCs and WBCs in noisy normal blood smear microscopic images

Adam Krzyzak, Thomas Fevens, Mehdi Habibzadeh, 2011, Medical Imaging.

Learning and Convergence of the Normalized Radial Basis Functions Networks

Adam Krzyzak, Marian Partyka, A. Krzyżak, 2018, ICAISC.

Nonlinear Function Learning and Classification Using Optimal Radial Basis Function Networks

Adam Krzyzak, A. Krzyżak, 2001, MLDM.

Invariant Ridgelet-Fourier Descriptor for Pattern Recognition

Adam Krzyzak, Guangyi Chen, Tien D. Bui, 2006, 18th International Conference on Pattern Recognition (ICPR'06).

Radial Basis Function Networks with optimal kernels

Adam Krzyzak, A. Krzyżak, 2011, 2011 IEEE International Symposium on Information Theory Proceedings.

Comparison of Pleomorphic and Structural Features Used for Breast Cancer Malignancy Classification

Adam Krzyzak, Thomas Fevens, Lukasz Jelen, 2008, Canadian Conference on AI.

Predicting US Elections with Social Media and Neural Networks

Adam Krzyzak, Ching Y. Suen, Ellison Chan, 2021, International Conferences on Pattern Recognition and Artificial Intelligence.

Nonparametric recursive identification and control of a flexible joint robot manipulator

Anthony Green, Adam Krzyzak, Jerzy Z. Sasiadek, 2015, 2015 20th International Conference on Methods and Models in Automation and Robotics (MMAR).

Radial basis function networks and complexity regularization in function learning and classification

Heinrich Niemann, Adam Krzyzak, Balázs Kégl, 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

An automatic variational level set segmentation framework for computer aided dental X-rays analysis in clinical environments

Adam Krzyzak, Song Li, Shuo Li, 2006, Comput. Medical Imaging Graph..

Rotation invariant feature extraction using Ridgelet and Fourier transforms

Adam Krzyzak, Guangyi Chen, Tien D. Bui, 2006, Pattern Analysis and Applications.

On estimation of nonlinear systems by nonparametric techniques

Adam Krzyzak, Rolf Unbehauen, A. Krzyżak, 1994, Proceedings of IEEE International Symposium on Circuits and Systems - ISCAS '94.

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

Roman Monczak, Adam Krzyzak, Thomas Fevens, 2013, IEEE Transactions on Medical Imaging.

Analysis of White Blood Cell Differential Counts Using Dual-Tree Complex Wavelet Transform and Support Vector Machine Classifier

Adam Krzyzak, Thomas Fevens, Mehdi Habibzadeh, 2012, ICCVG.

Effective shrinkage of large multi-class linear svm models for text categorization

Jian-xiong Dong, Adam Krzyzak, Ching Y. Suen, 2008, 2008 19th International Conference on Pattern Recognition.

An affine invariant k-nearest neighbor regression estimate

Adam Krzyzak, Vida Dujmovic, Luc Devroye, 2012, J. Multivar. Anal..

One-Class Classification Decomposition for Imbalanced Classification of Breast Cancer Malignancy Data

Adam Krzyzak, Bartosz Krawczyk, Thomas Fevens, 2014, ICAISC.

Breast Cancer Classification from Histopathological Images Using Transfer Learning and Deep Neural Networks

Adam Krzyzak, Abdulrahman Aloyayri, A. Krzyżak, 2020, ICAISC.

Image Segmentation Adapted for Clinical Settings by Combining Pattern Classification and Level Sets

Adam Krzyzak, Shuo Li, Thomas Fevens, 2004, MICCAI.

Genre-ous: The Movie Genre Detector

Adam Krzyzak, Amr Shahin, 2020, ACIIDS.

Displacement Identification of Flexible Manipulator Arm using Hammerstein Model

Adam Krzyzak, Jerzy Sasiadek, 1989, 1989 American Control Conference.

Rate of convergence of local averaging plug-in classification rules under margin condition

Adam Krzyzak, Michael Kohler, A. Krzyżak, 2006, 2006 IEEE International Symposium on Information Theory.

Radial basis function networks and nonparametric classification: complexity regularization and rates of convergence

Adam Krzyzak, Tamás Linder, T. Linder, 1996, Proceedings of 13th International Conference on Pattern Recognition.

Recognition of handwritten numerals by Quantum Neural Network with fuzzy features

Adam Krzyzak, Ching Y. Suen, Jie Zhou, 1999, International Journal on Document Analysis and Recognition.

Classification Boosting by Data Decomposition Using Consensus-Based Combination of Classifiers

Adam Krzyzak, Ching Y. Suen, Vitaliy Tayanov, 2017, ICIAR.

Invariant pattern recognition using radon, dual-tree complex wavelet and Fourier transforms

Adam Krzyzak, Guangyi Chen, Tien D. Bui, 2009, Pattern Recognit..

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

Adam Krzyzak, Tamas Linder, Ghbor Lugosi, 1996, IEEE Trans. Neural Networks.

On nonparametric estimation of nonlinear dynamic systems by the Fourier series estimate

Adam Krzyzak, A. Krzyżak, 1996, Signal Process..

Local Learning Framework for Recognition of Lowercase Handwritten Characters

Jian-xiong Dong, Adam Krzyzak, Ching Y. Suen, 2001, MLDM.

Neural Nets for Dual Subspace Pattern Recognition Method

Erkki Oja, Adam Krzyzak, Lei Xu, 1991, Int. J. Neural Syst..

A new courtesy amount recognition module of a Check Reading System

Adam Krzyzak, Ching Y. Suen, Wu Ding, 2008, 2008 19th International Conference on Pattern Recognition.

Classification of Digitized Curves Represented by Signatures and Fourier Descriptors

Adam Krzyzak, H. El Buaeshi, 1989, Computer Vision and Shape Recognition.

On the Recognition of Handwritten Characters using Neural Networks

Adam Krzyzak, C. Y. Suen, W. Dai, 1991, Pattern Recognition: Architectures, Algorithms and Applications.

Optimal Wavelets and Neural Networks for Pattern Recognition

Adam Krzyzak, Tien D. Bui, G. Y. Chen, 2003 .

Nonparametric estimation of a function from noiseless observations at random points

Adam Krzyzak, Luc Devroye, Michael Kohler, 2017, J. Multivar. Anal..

Oversampling Methods for Classification of Imbalanced Breast Cancer Malignancy Data

Adam Krzyzak, Bartosz Krawczyk, Thomas Fevens, 2012, ICCVG.

Cursive word skew/slant corrections based on Radon transform

Jian-xiong Dong, Adam Krzyzak, Ching Y. Suen, 2005, Eighth International Conference on Document Analysis and Recognition (ICDAR'05).

Nonparametric estimation of non-stationary velocity fields from 3D particle tracking velocimetry data

Adam Krzyzak, Michael Kohler, A. Krzyżak, 2012, Comput. Stat. Data Anal..

Image denoising with neighbour dependency and customized wavelet and threshold

Adam Krzyzak, Guangyi Chen, Tien D. Bui, 2005, Pattern Recognit..

Recovering motion from range image sequences

Adam Krzyzak, T. Kasvand, Peiying Y. Zhu, 1992, Other Conferences.

Sparse Support Vector Machine for pattern recognition

Adam Krzyzak, Guangyi Chen, Tien D. Bui, 2013, 2013 International Conference on High Performance Computing & Simulation (HPCS).

On Improving the Efficiency of Eigenface Using a Novel Facial Feature Localization

Adam Krzyzak, Aleksey Izmailov, 2009, ICIAP.

Sparse Support Vector Machine for pattern recognition

Adam Krzyzak, Guangyi Chen, Tien D. Bui, 2013, HPCS.

Denoising of Three Dimensional Data Cube Using Bivariate Wavelet Shrinking

Adam Krzyzak, Guangyi Chen, Tien D. Bui, 2010, ICIAR.

Automatic Clinical Image Segmentation Using Pathological Modelling, PCA and SVM

Adam Krzyzak, Song Li, Shuo Li, 2005, MLDM.

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

Adam Krzyzak, Alan L. Yuille, Lei Xu, 1994, Neural Networks.

Verification - a method of enhancing the recognizers of isolated and touching handwritten numerals

Adam Krzyzak, Ching Y. Suen, Jie Zhou, 2002, Pattern Recognit..

Improvement of the Validity Index for Determination of an Appropriate Data Partitioning

Adam Krzyzak, Artur Starczewski, A. Krzyżak, 2017, ICAISC.

Piecewise Linear Skeletonization Using Principal Curves

Adam Krzyzak, Balázs Kégl, 2002, IEEE Trans. Pattern Anal. Mach. Intell..

Optimal Modeling and Recursive Identification of Stochastic Cascade System

Adam Krzyzak, 1987, 1987 American Control Conference.

A new approach for binary feature selection and combining classifiers

Adam Krzyzak, Asai Asaithambi, Vesna Zeljkovic, 2014, 2014 International Conference on High Performance Computing & Simulation (HPCS).

Semi-automatic computer aided lesion detection in dental X-rays using variational level set

Adam Krzyzak, Song Li, Chao Jin, 2007, Pattern Recognit..

Global convergence of the recursive kernel regression estimates with applications in classification and nonlinear system estimation

Adam Krzyzak, A. Krzyżak, 1992, IEEE Trans. Inf. Theory.

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

Adam Krzyzak, Thomas Fevens, Lukasz Jelen, 2008, Int. J. Appl. Math. Comput. Sci..

Contour-based handwritten numeral recognition using multiwavelets and neural networks

Adam Krzyzak, Guangyi Chen, Tien D. Bui, 2003, Pattern Recognit..

Direct fuzzy adaptive control and nonparametric identification of robot manipulator with elastic joints

Adam Krzyzak, Steve Ulrich, Jerzy Z. Sasiadek, 2017, 2017 22nd International Conference on Methods and Models in Automation and Robotics (MMAR).

Fourier Descriptors of Two Dimensional Shapes - Reconstruction and Accuracy

Adam Krzyzak, Ching Y. Suen, Siu Yun Leung, 1988, MVA.

Why L1 view and what is next?

Adam Krzyzak, László Györfi, 2011, Kybernetika.

Adaptive video denoising using block matching 3-D filtering

Adam Krzyzak, Guangyi Chen, Tien D. Bui, 2012, 2012 25th IEEE Canadian Conference on Electrical and Computer Engineering (CCECE).

A multi-net local learning framework for pattern recognition

Jian-xiong Dong, Adam Krzyzak, Ching Y. Suen, 2001, Proceedings of Sixth International Conference on Document Analysis and Recognition.

Empirical Comparison of Nonparametric Regression Estimates on Real Data

Adam Krzyzak, Alexander Richter, Michael Kohler, 2016, Commun. Stat. Simul. Comput..

Estimation of a function of low local dimensionality by deep neural networks

Adam Krzyzak, Michael Kohler, Sophie Langer, 2019 .

A Fast Parallel Optimization for Training Support Vector Machine

Jian-xiong Dong, Adam Krzyzak, Ching Y. Suen, 2003, MLDM.

An affine invariant k-nearest neighbor regression estimate

Adam Krzyzak, Vida Dujmovic, Luc Devroye, 2012, 2012 IEEE International Symposium on Information Theory Proceedings.

Handwriting Recognition Using Weighted Elastic Matching

Adam Krzyzak, Patrice Scattolin, A. Krzyżak, 1995, Research in Computer and Robot Vision.

A SVM-based framework for autonomous volumetric medical image segmentation using hierarchical and coupled level sets

Adam Krzyzak, Shuo Li, Thomas Fevens, 2004, CARS.

Convergence and Rates of Convergence of Recursive Radial Basis Functions Networks in Function Learning and Classification

Adam Krzyzak, Marian Partyka, A. Krzyżak, 2017, ICAISC.

Exponential weighting algorithms for reconstruction of bandlimited signals

Adam Krzyzak, Miroslaw Pawlak, Ewaryst Rafajlowicz, 1996, IEEE Trans. Signal Process..

Application of Pattern Recognition Techniques for the Analysis of Histopathological Images

Adam Krzyzak, Thomas Fevens, Lukasz Jelen, 2011, Computer Recognition Systems 4.

Reconstruction of two dimensional patterns by Fourier descriptors

Adam Krzyzak, Ching Y. Suen, Siu Yun Leung, 1988, [1988 Proceedings] 9th International Conference on Pattern Recognition.

A Polygonal Line Algorithm for Constructing Principal Curves

Adam Krzyzak, Tamás Linder, Balázs Kégl, 1998, NIPS.

Automated Multimodal Biometrics Using Face and Ear

Adam Krzyzak, Lorenzo Luciano, 2009, ICIAR.

Rotation invariant pattern recognition using ridgelets, wavelet cycle-spinning and Fourier features

Adam Krzyzak, Guangyi Chen, Tien D. Bui, 2005, Pattern Recognit..

A level set segmentation for computer-aided dental x-ray analysis

Adam Krzyzak, Song Li, Shuo Li, 2005, SPIE Medical Imaging.

Feature matching for UAV navigation in urban environments

Jurek Z. Sasiadek, Adam Krzyzak, Mark J. Walker, 2010, 2010 15th International Conference on Methods and Models in Automation and Robotics.

Manifold-Based Classifier Ensembles

Adam Krzyzak, Ching Y. Suen, Vitaliy Tayanov, 2020, ICPRAI.

A Modification of the Silhouette Index for the Improvement of Cluster Validity Assessment

Adam Krzyzak, Artur Starczewski, A. Krzyżak, 2016, ICAISC.

Moving average restoration of bandlimited signals from noisy observations

Adam Krzyzak, Miroslaw Pawlak, Ewaryst Rafajlowicz, 1997, IEEE Trans. Signal Process..

Non-parametric identification of dynamic non-linear systems by a Hermite Series Approach

Adam Krzyzak, Balázs Kégl, Jerzy Z. Sasiadek, 2001, Int. J. Syst. Sci..

Three-dimensional range image segmentation and fitting by quadratic surfaces

Adam Krzyzak, T. D. Bui, Xinming Yu, 1992, Other Conferences.

Computer Vision and Shape Recognition

Adam Krzyzak, Ching Y. Suen, T Kasvand, 1989, World Scientific Series in Computer Science.

Nonparametric regression estimation by normalized radial basis function networks

Adam Krzyzak, Dominik Schäfer, A. Krzyżak, 2003, IEEE Transactions on Information Theory.

Cytological malignancy grading systems for fine needle aspiration biopsies of breast cancer

Adam Krzyzak, Thomas Fevens, Lukasz Jelen, 2017, 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

A Study of Cluster Validity Indices for Real-Life Data

Adam Krzyzak, Artur Starczewski, A. Krzyżak, 2017, ICAISC.

Density estimation using real and artificial data

Adam Krzyzak, Michael Kohler, Tina Felber, 2014, 2014 IEEE International Symposium on Information Theory.

The rates of convergence of kernel regression estimates and classification rules

Adam Krzyzak, A. Krzyżak, 1986, IEEE Trans. Inf. Theory.

Prediction-based classification using learning on Riemannian manifolds

Adam Krzyzak, Ching Y. Suen, Vitaliy Tayanov, 2018, 2018 24th International Conference on Pattern Recognition (ICPR).

Nonparametric regression estimation using penalized least squares

Adam Krzyzak, Michael Kohler, A. Krzyżak, 2001, IEEE Trans. Inf. Theory.

Comparative Study of Feature Selection for White Blood Cell Differential Counts in Low Resolution Images

Adam Krzyzak, Thomas Fevens, Mehdi Habibzadeh, 2014, ANNPR.

On L/sub 1/ convergence rate of RBF networks and kernel regression estimators with applications in classification

Adam Krzyzak, Lei Xu, Stan Klasa, 1994, Proceedings of the 12th IAPR International Conference on Pattern Recognition, Vol. 3 - Conference C: Signal Processing (Cat. No.94CH3440-5).

Rates of convergence for adaptive regression estimates with multiple hidden layer feedforward neural networks

Adam Krzyzak, Michael Kohler, A. Krzyżak, 2005, Proceedings. International Symposium on Information Theory, 2005. ISIT 2005..

Preprint of the paper published in: Nonlinear Analysis Theory and Methods vol. 47 nr 1 pp 303-314, 2001 Clipped median and space-lling curves in image ltering

Adam Krzyzak, 2013 .

Supervised Classification Box Algorithm Based on Graph Partitioning

Adam Krzyzak, Ventzeslav Valev, Nicola Yanev, 2019, CORES.

A novel technique for detecting suspicious lesions in breast ultrasound images

Adam Krzyzak, Behnam Karimi, A. Krzyżak, 2016, Concurr. Comput. Pract. Exp..

On Learning and Convergence of RBF Networks in Regression Estimation and Classification

Adam Krzyzak, Marian Partyka, A. Krzyżak, 2019, ICAISC.

On the Rate of Convergence of Local Averaging Plug-In Classification Rules Under a Margin Condition

Adam Krzyzak, Michael Kohler, A. Krzyżak, 2007, IEEE Transactions on Information Theory.

The rates of convergence of neural network estimates of hierarchical interaction regression models

Adam Krzyzak, Michael Kohler, A. Krzyżak, 2016, 2016 IEEE International Symposium on Information Theory (ISIT).

On the rate of convergence of a deep recurrent neural network estimate in a regression problem with dependent data pdf

Adam Krzyzak, Michael Kohler, 2020, ArXiv.

Analysis of Feature Maps Selection in Supervised Learning Using Convolutional Neural Networks

Adam Krzyzak, Joseph Lin Chu, A. Krzyżak, 2014, Canadian Conference on AI.

On application of nonparametric regression estimation to options pricing

Adam Krzyzak, Michael Kohler, Harro Walk, 2009, 2009 IEEE International Symposium on Information Theory.

Supervised Classification Using Feature Space Partitioning

Adam Krzyzak, Ventzeslav Valev, Nicola Yanev, 2018, S+SSPR.

Denoising of Three-Dimensional Data Cube Using bivariate Wavelet Shrinking

Adam Krzyzak, Guangyi Chen, Tien D. Bui, 2011, Int. J. Pattern Recognit. Artif. Intell..

Palmprint Classification using Dual-Tree Complex Wavelets

Adam Krzyzak, Guangyi Chen, Tien D. Bui, 2006, 2006 International Conference on Image Processing.

Fast and Robust Clinical Triple-Region Image Segmentation Using One Level Set Function

Adam Krzyzak, Song Li, Chao Jin, 2006, MICCAI.

Deep Learning and MARS: A Connection pdf

Adam Krzyzak, Michael Kohler, Sophie Langer, 2019, ArXiv.

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

Erkki Oja, Adam Krzyzak, Lei Xu, 1993, IEEE Trans. Neural Networks.

Illumination invariant face recognition using dual-tree complex wavelet transform in logarithm domain

Adam Krzyzak, T. D. Bui, Guang Yi Chen, 2019, Journal of Electrical Engineering.

Convex Cardinality Restricted Boltzmann Machine and Its Application to Pattern Recognition

Adam Krzyzak, Ching Y. Suen, Mina Yousefi, 2014, Canadian Conference on AI.

Editorial

Adam Krzyzak, 2012, Trans. Mach. Learn. Data Min..

On estimation of a class of nonlinear systems by the kernel regression estimate

Adam Krzyzak, A. Krzyżak, 1990, IEEE Trans. Inf. Theory.

On exponential bounds on the Bayes risk of the kernel classification rule

Adam Krzyzak, A. Krzyżak, 1991, IEEE Trans. Inf. Theory.

Nonparametric identification and control of flexible joint robot manipulator

Anthony Green, Adam Krzyzak, Steve Ulrich, 2014, 2014 19th International Conference on Methods and Models in Automation and Robotics (MMAR).

Pattern Recognition with Linearly Structured Labels Using Recursive Kernel Estimator

Adam Krzyzak, Ewaryst Rafajlowicz, A. Krzyżak, 2010, ICAISC.

Segmentation of handwritten digits using contour features

Adam Krzyzak, Ching Y. Suen, Nick W. Strathy, 1993, Proceedings of 2nd International Conference on Document Analysis and Recognition (ICDAR '93).

Adaptive regression estimation with multilayer feedforward neural networks

Adam Krzyzak, Michael Kohler, A. Krzyżak, 2004, International Symposium onInformation Theory, 2004. ISIT 2004. Proceedings..

Learning and Design of Principal Curves

Adam Krzyzak, Tamás Linder, Balázs Kégl, 2000, IEEE Trans. Pattern Anal. Mach. Intell..

Invariant Object Recognition Using Radon and Fourier Transforms

Adam Krzyzak, Guangyi Chen, Tien D. Bui, 2013, ISNN.

Influence of feature set reduction on breast cancer malignancy classification of fine needle aspiration biopsies

Adam Krzyzak, Thomas Fevens, Michal Jelen, 2016, Comput. Biol. Medicine.

A new geometrical approach for solving the supervised pattern recognition problem

Adam Krzyzak, Ventzeslav Valev, Nicola Yanev, 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).

Nonparametric estimation of a latent variable model

Adam Krzyzak, Michael Kohler, Augustin Kelava, 2017, J. Multivar. Anal..

Combining Space-Filling Curves and Radial Basis Function Networks

Adam Krzyzak, Ewa Skubalska-Rafajlowicz, A. Krzyżak, 2004, ICAISC.

Web–Based Framework For Breast Cancer Classification

Thomas Fevens, Adam Krzyzak, Lukasz Jelen, 2014, J. Artif. Intell. Soft Comput. Res..

Classification of large set of handwritten characters using modified back propagation model

Adam Krzyzak, W. Dai, Ching Y. Suen, 1990, 1990 IJCNN International Joint Conference on Neural Networks.

Postfiltering versus prefiltering for signal recovery from noisy samples

Adam Krzyzak, Miroslaw Pawlak, Ewaryst Rafajlowicz, 2003, IEEE Trans. Inf. Theory.

A Hybrid Multi-Criteria Hotel Recommender System Using Explicit and Implicit Feedbacks

Adam Krzyzak, Ashkan Ebadi, A. Krzyżak, 2016 .

Computerized Counting-Based System for Acute Lymphoblastic Leukemia Detection in Microscopic Blood Images

Adam Krzyzak, Karima Ben Suliman, 2018, ICANN.

Application of Support Vector Machines, Convolutional Neural Networks and Deep Belief Networks to Recognition of Partially Occluded Objects

Adam Krzyzak, Joseph Lin Chu, 2014, ICAISC.

Surface integrations from multiple range images

Adam Krzyzak, Xinming Yu, Tien D. Bui, 1992, Other Conferences.

Nonparametric identification of robot flexible joint space manipulator

Adam Krzyzak, Steve Ulrich, Jerzy Z. Sasiadek, 2012, 2012 17th International Conference on Methods & Models in Automation & Robotics (MMAR).

Robust Estimation for Range Image Segmentation and Reconstruction

Adam Krzyzak, Tien D. Bui, T. D. Bui, 1994, IEEE Trans. Pattern Anal. Mach. Intell..

Computer aided root lesion detection using level set and complex wavelets

Adam Krzyzak, Song Li, Chao Jin, 2007, SPIE Medical Imaging.

Performance Evaluation of the Silhouette Index

Adam Krzyzak, Artur Starczewski, A. Krzyżak, 2015, ICAISC.

Hyperspectral image classification via principal component analysis, 2D spatial convolution, and support vector machines

Adam Krzyzak, Shen-En Qian, Guang Y. Chen, 2021, Journal of Applied Remote Sensing.

Abrupt Change Detection by the Nonparametric Approach Based on Orthogonal Series Estimates

Adam Krzyzak, Tomasz Galkowski, A. Krzyżak, 2021, International Conference on Artificial Intelligence and Soft Computing.

Supervised Classification Using Graph-based Space Partitioning for Multiclass Problems

Adam Krzyzak, Ventzeslav Valev, Nicola Yanev, 2021, 2020 25th International Conference on Pattern Recognition (ICPR).

An FFT-based visual quality metric robust to spatial shift

Adam Krzyzak, Guang Yi Chen, 2021 .

Comparison of Stacking-based Classifier Ensembles using Euclidean and Riemannian Geometries

Adam Krzyzak, Ching Y. Suen, Vitaliy Tayanov, 2021, 2020 25th International Conference on Pattern Recognition (ICPR).

Estimation of a Function of Low Local Dimensionality by Deep Neural Networks

Adam Krzyzak, Michael Kohler, Sophie Langer, 2019, IEEE Transactions on Information Theory.

Noise reduction of shot-noise-dominated hyperspectral imagery by combining PCA with existing denoising methods

Adam Krzyzak, Guang Yi Chen, 2021, International Journal of Wavelets, Multiresolution and Information Processing.

On Identification of Discrete Hammerstein Systems by the Fourier Series Regression Estimate

Adam Krzyzak, 1988, 1988 American Control Conference.

On estimation of discrete Hammerstein system by nonparametric regression estimate

Adam Krzyzak, A. Krzyżak, 1987, 26th IEEE Conference on Decision and Control.

Nonparametric Identification of a Memoryless Stochastic System with Cascade Structure

Adam Krzyzak, A. Krzyżak, 1986, 1986 American Control Conference.

Clipped median and space-filling curves in image filtering

Adam Krzyzak, Ewa Skubalska-Rafajłowicz, Ewaryst Rafajłowicz, 2001 .

Over-parametrized deep neural networks do not generalize well

Adam Krzyzak, Michael Kohler, 2019 .

A Local Learning Framework for Pattern Classification

Adam Krzyzak, C. Y. Suen, Jianxiong Dong, 2022 .

New Multivariate Product Density Estimators

Adam Krzyzak, Luc Devroye, L. Devroye, 2002 .

Coherent states and Hermite polynomials on quaternionic Hilbert spaces

Adam Krzyzak, K. Thirulogasanthar, A. Krzyżak, 2010 .

On the Hilbert kernel density estimate

Adam Krzyzak, Luc Devroye, L. Devroye, 1999 .