Adam Krzyzak

ORCID

Publication Activity (10 Years)

Years Active: 1983-2024
Publications (10 Years): 85

Top Venues

ICAISC (1)

IEEE Trans. Inf. Theory

ICAISC (2)

ICPR

Publications

Adam Krzyzak, Jedrzej Wieckowski, Wojciech Rafajlowicz, Przemyslaw Moczko, Ewaryst Rafajlowicz
Designing shape-preserving descriptors for classifying signals with application to vibrations of large mechanical structures. Knowl. Based Syst. 299 (2024)
Guang Yi Chen, Adam Krzyzak
Face recognition via selective denoising, filter faces and hog features. Signal Image Video Process. 18 (1) (2024)
Guang Yi Chen, Adam Krzyzak
Illumination invariant face recognition via multiscale filter faces and voting technique. Signal Image Video Process. 18 (8-9) (2024)
Guangyi Chen, Wenfang Xie, Adam Krzyzak
Hyperspectral Face Recognition via Existing 2D Face Recognition Methods. ICIC (5) (2024)
Guangyi Chen, Adam Krzyzak
Wavelet-based 3D Data Cube Denoising Using Three Scales of Dependency. Circuits Syst. Signal Process. 43 (6) (2024)
Michael Kohler, Adam Krzyzak, Benjamin Walter
Analysis of the rate of convergence of an over-parametrized convolutional neural network image classifier learned by gradient descent. CoRR (2024)
Guangyi Chen, Adam Krzyzak
Invariant Pattern Recognition with Log-Polar Transform and Dual-Tree Complex Wavelet-Fourier Features. Sensors 23 (8) (2023)
Guang Yi Chen, Adam Krzyzak, Ventzeslav Valev
A Robust Preprocessing Method for Measuring Image Visual Quality Using Log-Polar FFT Features. IWAIPR (2023)
Guangyi Chen, Wenfang Xie, Adam Krzyzak
Improved Blind Image Denoising with DnCNN. ICIC (2) (2023)
Mohammad Amin Shamshiri, Adam Krzyzak, Marek Kowal, Józef Korbicz
Compatible-domain Transfer Learning for Breast Cancer Classification with Limited Annotated Data. Comput. Biol. Medicine 154 (2023)
Guangyi Chen, Wenfang Xie, Adam Krzyzak
An Experimental Study on MRI Denoising with Existing Image Denoising Methods. ICIC (2) (2023)
Adam Krzyzak, Wojciech Rafajlowicz, Ewaryst Rafajlowicz
Learning Bezier-Durrmeyer Type Descriptors for Classifying Curves - Preliminary Studies. ICAISC (1) (2023)
Adam Krzyzak, Wojciech Rafajlowicz, Ewaryst Rafajlowicz
Learning Shape-Preserving Autoencoder for the Reconstruction of Functional Data from Noisy Observations. ICCS (2) (2023)
Michael Kohler, Adam Krzyzak
On the rate of convergence of an over-parametrized Transformer classifier learned by gradient descent. CoRR (2023)
Jeongik Cho, Adam Krzyzak
Self-supervised Out-of-Distribution Detection with Dynamic Latent Scale GAN. S+SSPR (2022)
Guang Yi Chen, Adam Krzyzak, Wen-Fang Xie
Hyperspectral face recognition with histogram of oriented gradient features and collaborative representation-based classifier. Multim. Tools Appl. 81 (2) (2022)
Guangyi Chen, Adam Krzyzak, Shen-En Qian
Hyperspectral imagery classification with minimum noise fraction, 2D spatial filtering and SVM. Int. J. Wavelets Multiresolution Inf. Process. 20 (6) (2022)
Jeongik Cho, Adam Krzyzak
Dynamic Latent Scale for GAN Inversion. ICPRAM (2022)
Tomasz Galkowski, Adam Krzyzak
Fast Estimation of Multidimensional Regression Functions by the Parzen Kernel-Based Method. ICONIP (4) (2022)
Adam Krzyzak, Tomasz Galkowski, Marian Partyka
Convergence of RBF Networks Regression Function Estimates and Classifiers. ICAISC (1) (2022)
Naitik Bhise, Adam Krzyzak, Tien D. Bui
Refining AttnGAN Using Attention on Attention Network. S+SSPR (2022)
Manuel S. Lazo-Cortés, José Fco. Martínez-Trinidad, Jesús Ariel Carrasco-Ochoa, Ventzeslav Valev, Mohammad Amin Shamshiri, Adam Krzyzak
Taking Advantage of Typical Testor Algorithms for Computing Non-reducible Descriptors. ICPRAM (2022)
Tomasz Galkowski, Adam Krzyzak, Piotr Dziwinski
Fast Estimation of Multidimensional Regression Functions. ICARCV (2022)
Michael Kohler, Adam Krzyzak, Sophie Langer
Estimation of a Function of Low Local Dimensionality by Deep Neural Networks. IEEE Trans. Inf. Theory 68 (6) (2022)
Vitaliy Tayanov, Adam Krzyzak, Ching Y. Suen
Analysis of Different Deep Learning Architectures to Learn Generalised Classifier Stacking on Riemannian and Grassmann Manifolds. ICPR (2022)
Guang Yi Chen, Adam Krzyzak, Piotr Duda, Andrzej Cader
Noise Robust Illumination Invariant Face Recognition Via Bivariate Wavelet Shrinkage in Logarithm Domain. J. Artif. Intell. Soft Comput. Res. 12 (3) (2022)
Guangyi Chen, Wenfang Xie, Adam Krzyzak
Illumination Invariant Face Recognition Using Directional Gradient Maps. ICIC (1) (2022)
Guangyi Chen, Adam Krzyzak, Ventzeslav Valev
A New Preprocessing Method for Measuring Image Visual Quality Robust to Rotation and Spatial Shifts. S+SSPR (2022)
Adam Krzyzak, Heinrich Niemann
Convergence properties of radial basis functions networks in function learning. KES (2021)
Guangyi Chen, Adam Krzyzak
An FFT-based visual quality metric robust to spatial shift. Int. J. Wavelets Multiresolution Inf. Process. 19 (6) (2021)
Vitaliy Tayanov, Adam Krzyzak, Ching Y. Suen
Ensemble Learning Using Matrices of Classifier Interactions and Decision Profiles on Riemannian and Grassmann Manifolds. Int. J. Pattern Recognit. Artif. Intell. 35 (12) (2021)
Guangyi Chen, Adam Krzyzak
Noise reduction of shot-noise-dominated hyperspectral imagery by combining PCA with existing denoising methods. Int. J. Wavelets Multiresolution Inf. Process. 19 (6) (2021)
Tomasz Galkowski, Adam Krzyzak, Zofia Patora-Wysocka, Zbigniew Filutowicz, Lipo Wang
A New Approach to Detection of Changes in Multidimensional Patterns - Part II. J. Artif. Intell. Soft Comput. Res. 11 (3) (2021)
Tomasz Galkowski, Adam Krzyzak
Abrupt Change Detection by the Nonparametric Approach Based on Orthogonal Series Estimates. ICAISC (1) (2021)
Varun Gupta, Adam Krzyzak
An Empirical Evaluation of Attention and Pointer Networks for Paraphrase Generation. ICCS (3) (2020)
Tomasz Galkowski, Adam Krzyzak
Edge Curve Estimation by the Nonparametric Parzen Kernel Method. ICONIP (4) (2020)
Tomasz Galkowski, Adam Krzyzak
A New Approach to Detection of Abrupt Changes in Black-and-White Images. ICAISC (2) (2020)
Nicola Yanev, Ventzeslav Valev, Karima Ben Suliman, Adam Krzyzak
Supervised Classification Using Graph-based Space Partitioning for Multiclass Problems. ICPR (2020)
Michael Kohler, Adam Krzyzak, Benjamin Walter
On the rate of convergence of image classifiers based on convolutional neural networks. CoRR (2020)
Michael Kohler, Adam Krzyzak
On the rate of convergence of a deep recurrent neural network estimate in a regression problem with dependent data. CoRR (2020)
Vitaliy Tayanov, Adam Krzyzak, Ching Y. Suen
Comparison of Stacking-based Classifier Ensembles using Euclidean and Riemannian Geometries. ICPR (2020)
Abdulrahman Aloyayri, Adam Krzyzak
Breast Cancer Classification from Histopathological Images Using Transfer Learning and Deep Neural Networks. ICAISC (1) (2020)
Tomasz Galkowski, Adam Krzyzak, Zbigniew Filutowicz
A New Approach to Detection of Changes in Multidimensional Patterns. J. Artif. Intell. Soft Comput. Res. 10 (2) (2020)
Matthew Zak, Adam Krzyzak
Classification of Lung Diseases Using Deep Learning Models. ICCS (3) (2020)
Amr Shahin, Adam Krzyzak
Genre-ous: The Movie Genre Detector. ACIIDS (Companion) (2020)
Vitaliy Tayanov, Adam Krzyzak, Ching Y. Suen
Manifold-Based Classifier Ensembles. ICPRAI (2020)
Ellison Chan, Adam Krzyzak, Ching Y. Suen
Predicting US Elections with Social Media and Neural Networks. ICPRAI (2020)
Michael Kohler, Adam Krzyzak, Sophie Langer
Deep Learning and MARS: A Connection. CoRR (2019)
Ventzeslav Valev, Nicola Yanev, Adam Krzyzak, Karima Ben Suliman
Supervised Classification Box Algorithm Based on Graph Partitioning. CORES (2019)
Bartosz Miselis, Thomas Fevens, Adam Krzyzak, Marek Kowal, Roman Monczak
Deep Neural Networks for Breast Cancer Diagnosis: Fine Needle Biopsy Scenario. PCBBE (2019)
Michael Kohler, Adam Krzyzak
Estimation of a Density From an Imperfect Simulation Model. IEEE Trans. Inf. Theory 65 (3) (2019)
Adam Krzyzak, Marian Partyka
On Learning and Convergence of RBF Networks in Regression Estimation and Classification. ICAISC (1) (2019)
Nicola Yanev, Ventzeslav Valev, Adam Krzyzak, Karima Ben Suliman
Supervised classification using graph-based space partitioning. Pattern Recognit. Lett. 128 (2019)
Adam Krzyzak, Marian Partyka
Learning and Convergence of the Normalized Radial Basis Functions Networks. ICAISC (1) (2018)
Mina Yousefi, Adam Krzyzak, Ching Y. Suen
Mass detection in digital breast tomosynthesis data using convolutional neural networks and multiple instance learning. Comput. Biol. Medicine 96 (2018)
Guangyi Chen, Tien D. Bui, Adam Krzyzak
Filter-based face recognition under varying illumination. IET Biom. 7 (6) (2018)
Ventzeslav Valev, Nicola Yanev, Adam Krzyzak, Karima Ben Suliman
Supervised Classification Using Feature Space Partitioning. S+SSPR (2018)
Vitaliy Tayanov, Adam Krzyzak, Ching Y. Suen
Prediction-based classification using learning on Riemannian manifolds. ICPR (2018)
Karima Ben Suliman, Adam Krzyzak
Computerized Counting-Based System for Acute Lymphoblastic Leukemia Detection in Microscopic Blood Images. ICANN (2) (2018)
Jurek Z. Sasiadek, Steve Ulrich, Adam Krzyzak
Trajectory Tracking and Nonparametric Identification of Flexible Space Robot Manipulators. MMAR (2018)
Michael Kohler, Adam Krzyzak
Adaptive Estimation of Quantiles in a Simulation Model. IEEE Trans. Inf. Theory 64 (1) (2018)
Vitaliy Tayanov, Adam Krzyzak, Ching Y. Suen
Classification Boosting by Data Decomposition Using Consensus-Based Combination of Classifiers. ICIAR (2017)
Artur Starczewski, Adam Krzyzak
Improvement of the Validity Index for Determination of an Appropriate Data Partitioning. ICAISC (2) (2017)
Augustin Kelava, Michael Kohler, Adam Krzyzak, Tim Fabian Schaffland
Nonparametric estimation of a latent variable model. J. Multivar. Anal. 154 (2017)
Vitaliy Tayanov, Adam Krzyzak, Ching Y. Suen
Some Properties of Consensus-Based Classification. CORES (2017)
Jurek Z. Sasiadek, Steve Ulrich, Adam Krzyzak
Direct fuzzy adaptive control and nonparametric identification of robot manipulator with elastic joints. MMAR (2017)
Benedikt Bauer, Luc Devroye, Michael Kohler, Adam Krzyzak, Harro Walk
Nonparametric estimation of a function from noiseless observations at random points. J. Multivar. Anal. 160 (2017)
Muneera Alsaedi, Thomas Fevens, Adam Krzyzak, Lukasz Jelen
Cytological malignancy grading systems for fine needle aspiration biopsies of breast cancer. BIBM (2017)
Adam Krzyzak, Marian Partyka
Convergence and Rates of Convergence of Recursive Radial Basis Functions Networks in Function Learning and Classification. ICAISC (1) (2017)
Michael Kohler, Adam Krzyzak
Nonparametric Regression Based on Hierarchical Interaction Models. IEEE Trans. Inf. Theory 63 (3) (2017)
Artur Starczewski, Adam Krzyzak
A Study of Cluster Validity Indices for Real-Life Data. ICAISC (2) (2017)
Lukasz Jelen, Adam Krzyzak, Thomas Fevens, Michal Jelen
Influence of feature set reduction on breast cancer malignancy classification of fine needle aspiration biopsies. Comput. Biol. Medicine 79 (2016)
Artur Starczewski, Adam Krzyzak
A Modification of the Silhouette Index for the Improvement of Cluster Validity Assessment. ICAISC (2) (2016)
Guangyi Chen, Tien D. Bui, Adam Krzyzak
Sparse support vector machine for pattern recognition. Concurr. Comput. Pract. Exp. 28 (7) (2016)
Ventzeslav Valev, Nicola Yanev, Adam Krzyzak
A new geometrical approach for solving the supervised pattern recognition problem. ICPR (2016)
Behnam Karimi, Adam Krzyzak
A novel technique for detecting suspicious lesions in breast ultrasound images. Concurr. Comput. Pract. Exp. 28 (7) (2016)
Georg C. Enss, Michael Kohler, Adam Krzyzak, Roland Platz
Nonparametric Quantile Estimation Based on Surrogate Models. IEEE Trans. Inf. Theory 62 (10) (2016)
Mohammad Reza Ebrahimi, Ching Y. Suen, Olga Ormandjieva, Adam Krzyzak
Recognizing Predatory Chat Documents using Semi-supervised Anomaly Detection. Document Recognition and Retrieval (2016)
Michael Kohler, Adam Krzyzak
The rates of convergence of neural network estimates of hierarchical interaction regression models. ISIT (2016)
Piotr Duda, Lena Pietruczuk, Maciej Jaworski, Adam Krzyzak
On the Cesàro-Means-Based Orthogonal Series Approach to Learning Time-Varying Regression Functions. ICAISC (2) (2016)
Daniel Jones, Michael Kohler, Adam Krzyzak, Alexander Richter
Empirical Comparison of Nonparametric Regression Estimates on Real Data. Commun. Stat. Simul. Comput. 45 (7) (2016)
Tomasz Olas, Wojciech K. Mleczko, Robert K. Nowicki, Roman Wyrzykowski, Adam Krzyzak
Adaptation of RBM Learning for Intel MIC Architecture. ICAISC (1) (2015)
Jerzy Z. Sasiadek, Anthony Green, Adam Krzyzak
Nonparametric recursive identification and control of a flexible joint robot manipulator. MMAR (2015)
Tina Felber, Michael Kohler, Adam Krzyzak
Adaptive Density Estimation From Data With Small Measurement Errors. IEEE Trans. Inf. Theory 61 (6) (2015)
Artur Starczewski, Adam Krzyzak
Performance Evaluation of the Silhouette Index. ICAISC (2015)
Joseph Lin Chu, Adam Krzyzak
Application of Support Vector Machines, Convolutional Neural Networks and Deep Belief Networks to Recognition of Partially Occluded Objects. ICAISC (1) (2014)
Mehdi Habibzadeh, Adam Krzyzak, Thomas Fevens
Comparative Study of Feature Selection for White Blood Cell Differential Counts in Low Resolution Images. ANNPR (2014)
Joseph Lin Chu, Adam Krzyzak
The Recognition Of Partially Occluded Objects with Support Vector Machines, Convolutional Neural Networks and Deep Belief Networks. J. Artif. Intell. Soft Comput. Res. 4 (1) (2014)
Behnam Karimi, Adam Krzyzak
Computer-Aided System for Automatic Classification of Suspicious Lesions in Breast Ultrasound Images. ICAISC (2) (2014)
Jerzy Z. Sasiadek, Anthony Green, Steve Ulrich, Adam Krzyzak
Nonparametric identification and control of flexible joint robot manipulator. MMAR (2014)
Joseph Lin Chu, Adam Krzyzak
Analysis of Feature Maps Selection in Supervised Learning Using Convolutional Neural Networks. Canadian Conference on AI (2014)
Mina Yousefi, Adam Krzyzak, Ching Y. Suen
Convex Cardinality Restricted Boltzmann Machine and Its Application to Pattern Recognition. Canadian Conference on AI (2014)
Asai Asaithambi, Ventzeslav Valev, Adam Krzyzak, Vesna Zeljkovic
A new approach for binary feature selection and combining classifiers. HPCS (2014)
Bartosz Krawczyk, Lukasz Jelen, Adam Krzyzak, Thomas Fevens
One-Class Classification Decomposition for Imbalanced Classification of Breast Cancer Malignancy Data. ICAISC (1) (2014)
Tomasz Bruzdzinski, Adam Krzyzak, Thomas Fevens, Lukasz Jelen
Web-Based Framework For Breast Cancer Classification. J. Artif. Intell. Soft Comput. Res. 4 (2) (2014)
Tina Felber, Michael Kohler, Adam Krzyzak
Density estimation using real and artificial data. ISIT (2014)
Behnam Karimi, Adam Krzyzak
A Novel Approach for Automatic Detection and Classification of Suspicious Lesions in Breast Ultrasound Images. J. Artif. Intell. Soft Comput. Res. 3 (4) (2013)
Guangyi Chen, Tien Dai Bui, Adam Krzyzak, Yongjia Zhao
Invariant Object Recognition Using Radon and Fourier Transforms. ISNN (1) (2013)
Guangyi Chen, Tien Dai Bui, Adam Krzyzak, Weihua Liu
Support Vector Machine with Customized Kernel. ISNN (1) (2013)
Pawel Filipczuk, Thomas Fevens, Adam Krzyzak, Roman Monczak
Computer-Aided Breast Cancer Diagnosis Based on the Analysis of Cytological Images of Fine Needle Biopsies. IEEE Trans. Medical Imaging 32 (12) (2013)

Adam Krzyzak.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Adam Krzyzak