| 2025 | ICAISC | Invariant Pattern Recognition with Selectively Denoising and Ridgelet-Fourier Features. | Guang Yi Chen, Adam Krzyzak |
| 2025 | ICAISC | Invariant Aircraft Recognition with Fourier and Dual-Tree Complex Wavelet Features. | Guangyi Chen, Adam Krzyzak, Ventzeslav Valev |
| 2024 | ICAISC | Eigenmaps - Modified PCA-Based Approach for Dimensionality Reduction of Multivariate Time Series of Geospatial Data. | Ewa Skubalska-Rafajlowicz, Adam Krzyzak, Michal Pirek |
| 2024 | ISIT | Rate of Convergence of an Over-Parametrized Convolutional Neural Network Image Classifier Learned by Gradient Descent. | Michael Kohler, Benjamin Walter, Adam Krzyzak |
| 2023 | ICAISC | Learning Bezier-Durrmeyer Type Descriptors for Classifying Curves - Preliminary Studies. | Adam Krzyzak, Wojciech Rafajlowicz, Ewaryst Rafajlowicz |
| 2023 | ICCS | Learning Shape-Preserving Autoencoder for the Reconstruction of Functional Data from Noisy Observations. | Adam Krzyzak, Wojciech Rafajlowicz, Ewaryst Rafajlowicz |
| 2022 | ICAISC | Convergence of RBF Networks Regression Function Estimates and Classifiers. | Adam Krzyzak, Tomasz Galkowski, Marian Partyka |
| 2022 | ICARCV | Fast Estimation of Multidimensional Regression Functions. | Tomasz Galkowski, Adam Krzyzak, Piotr Dziwiski |
| 2022 | ICONIP | Fast Estimation of Multidimensional Regression Functions by the Parzen Kernel-Based Method. | Tomasz Galkowski, Adam Krzyzak |
| 2022 | ICPR | Analysis of Different Deep Learning Architectures to Learn Generalised Classifier Stacking on Riemannian and Grassmann Manifolds. | Vitaliy Tayanov, Adam Krzyzak, Ching Y. Suen |
| 2022 | ICPRAM | Dynamic Latent Scale for GAN Inversion. | Jeongik Cho, Adam Krzyzak |
| 2022 | ICPRAM | Taking Advantage of Typical Testor Algorithms for Computing Non-reducible Descriptors. | Manuel S. Lazo-Corts, Jos Fco. Martnez-Trinidad, Jess Ariel Carrasco-Ochoa, Ventzeslav Valev, Mohammad Amin Shamshiri, Adam Krzyzak |
| 2022 | SSPR | Refining AttnGAN Using Attention on Attention Network. | Naitik Bhise, Adam Krzyzak, Tien D. Bui |
| 2022 | SSPR | A New Preprocessing Method for Measuring Image Visual Quality Robust to Rotation and Spatial Shifts. | Guangyi Chen, Adam Krzyzak, Ventzeslav Valev |
| 2022 | SSPR | Self-supervised Out-of-Distribution Detection with Dynamic Latent Scale GAN. | Jeongik Cho, Adam Krzyzak |
| 2021 | ICAISC | Abrupt Change Detection by the Nonparametric Approach Based on Orthogonal Series Estimates. | Tomasz Galkowski, Adam Krzyzak |
| 2021 | KES | Convergence properties of radial basis functions networks in function learning. | Adam Krzyzak, Heinrich Niemann |
| 2020 | ACIIDS | Genre-ous: The Movie Genre Detector. | Amr Shahin, Adam Krzyzak |
| 2020 | ICAISC | Breast Cancer Classification from Histopathological Images Using Transfer Learning and Deep Neural Networks. | Abdulrahman Aloyayri, Adam Krzyzak |
| 2020 | ICAISC | A New Approach to Detection of Abrupt Changes in Black-and-White Images. | Tomasz Galkowski, Adam Krzyzak |
| 2020 | ICCS | An Empirical Evaluation of Attention and Pointer Networks for Paraphrase Generation. | Varun Gupta, Adam Krzyzak |
| 2020 | ICCS | Classification of Lung Diseases Using Deep Learning Models. | Matthew Zak, Adam Krzyzak |
| 2020 | ICONIP | Edge Curve Estimation by the Nonparametric Parzen Kernel Method. | Tomasz Galkowski, Adam Krzyzak |
| 2020 | ICPR | Comparison of Stacking-based Classifier Ensembles using Euclidean and Riemannian Geometries. | Vitaliy Tayanov, Adam Krzyzak, Ching Y. Suen |
| 2020 | ICPR | Supervised Classification Using Graph-based Space Partitioning for Multiclass Problems. | Nicola Yanev, Ventzeslav Valev, Karima Ben Suliman, Adam Krzyzak |
| 2019 | ICAISC | On Learning and Convergence of RBF Networks in Regression Estimation and Classification. | Adam Krzyzak, Marian Partyka |
| 2018 | ICAISC | Learning and Convergence of the Normalized Radial Basis Functions Networks. | Adam Krzyzak, Marian Partyka |
| 2018 | ICANN | Computerized Counting-Based System for Acute Lymphoblastic Leukemia Detection in Microscopic Blood Images. | Karima Ben Suliman, Adam Krzyzak |
| 2018 | ICPR | Prediction-based classification using learning on Riemannian manifolds. | Vitaliy Tayanov, Adam Krzyzak, Ching Y. Suen |
| 2018 | MMAR | Trajectory Tracking and Nonparametric Identification of Flexible Space Robot Manipulators. | Jurek Z. Sasiadek, Steve Ulrich, Adam Krzyzak |
| 2018 | SSPR | Supervised Classification Using Feature Space Partitioning. | Ventzeslav Valev, Nicola Yanev, Adam Krzyzak, Karima Ben Suliman |
| 2017 | ICAISC | Convergence and Rates of Convergence of Recursive Radial Basis Functions Networks in Function Learning and Classification. | Adam Krzyzak, Marian Partyka |
| 2017 | ICAISC | A Study of Cluster Validity Indices for Real-Life Data. | Artur Starczewski, Adam Krzyzak |
| 2017 | ICAISC | Improvement of the Validity Index for Determination of an Appropriate Data Partitioning. | Artur Starczewski, Adam Krzyzak |
| 2017 | MMAR | Direct fuzzy adaptive control and nonparametric identification of robot manipulator with elastic joints. | Jurek Z. Sasiadek, Steve Ulrich, Adam Krzyzak |
| 2016 | ICAISC | On the Cesro-Means-Based Orthogonal Series Approach to Learning Time-Varying Regression Functions. | Piotr Duda, Lena Pietruczuk, Maciej Jaworski, Adam Krzyzak |
| 2016 | ICAISC | A Modification of the Silhouette Index for the Improvement of Cluster Validity Assessment. | Artur Starczewski, Adam Krzyzak |
| 2016 | ICPR | A new geometrical approach for solving the supervised pattern recognition problem. | Ventzeslav Valev, Nicola Yanev, Adam Krzyzak |
| 2016 | ISIT | The rates of convergence of neural network estimates of hierarchical interaction regression models. | Michael Kohler, Adam Krzyzak |
| 2015 | ICAISC | Adaptation of RBM Learning for Intel MIC Architecture. | Tomasz Olas, Wojciech K. Mleczko, Robert K. Nowicki, Roman Wyrzykowski, Adam Krzyzak |
| 2015 | ICAISC | Performance Evaluation of the Silhouette Index. | Artur Starczewski, Adam Krzyzak |
| 2015 | MMAR | Nonparametric recursive identification and control of a flexible joint robot manipulator. | Jerzy Z. Sasiadek, Anthony Green, Adam Krzyzak |
| 2014 | AI | Analysis of Feature Maps Selection in Supervised Learning Using Convolutional Neural Networks. | Joseph Lin Chu, Adam Krzyzak |
| 2014 | AI | Convex Cardinality Restricted Boltzmann Machine and Its Application to Pattern Recognition. | Mina Yousefi, Adam Krzyzak, Ching Y. Suen |
| 2014 | ICAISC | Application of Support Vector Machines, Convolutional Neural Networks and Deep Belief Networks to Recognition of Partially Occluded Objects. | Joseph Lin Chu, Adam Krzyzak |
| 2014 | ICAISC | Computer-Aided System for Automatic Classification of Suspicious Lesions in Breast Ultrasound Images. | Behnam Karimi, Adam Krzyzak |
| 2014 | ICAISC | One-Class Classification Decomposition for Imbalanced Classification of Breast Cancer Malignancy Data. | Bartosz Krawczyk, Lukasz Jelen, Adam Krzyzak, Thomas Fevens |
| 2014 | ISIT | Density estimation using real and artificial data. | Tina Felber, Michael Kohler, Adam Krzyzak |
| 2014 | MMAR | Nonparametric identification and control of flexible joint robot manipulator. | Jerzy Z. Sasiadek, Anthony Green, Steve Ulrich, Adam Krzyzak |
| 2013 | ICAISC | White Blood Cell Differential Counts Using Convolutional Neural Networks for Low Resolution Images. | Mehdi Habibzadeh, Adam Krzyzak, Thomas Fevens |
| 2013 | ISNN | Support Vector Machine with Customized Kernel. | Guangyi Chen, Tien Dai Bui, Adam Krzyzak, Weihua Liu |
| 2013 | ISNN | Invariant Object Recognition Using Radon and Fourier Transforms. | Guangyi Chen, Tien Dai Bui, Adam Krzyzak, Yongjia Zhao |
| 2012 | ICAISC | Dimensionality Reduction Using External Context in Pattern Recognition Problems with Ordered Labels. | Ewa Skubalska-Rafajlowicz, Adam Krzyzak, Ewaryst Rafajlowicz |
| 2012 | ICCVG | Analysis of White Blood Cell Differential Counts Using Dual-Tree Complex Wavelet Transform and Support Vector Machine Classifier. | Mehdi Habibzadeh, Adam Krzyzak, Thomas Fevens |
| 2012 | ICCVG | Oversampling Methods for Classification of Imbalanced Breast Cancer Malignancy Data. | Bartosz Krawczyk, Lukasz Jelen, Adam Krzyzak, Thomas Fevens |
| 2012 | ISIT | An affine invariant k-nearest neighbor regression estimate. | Grard Biau, Adam Krzyzak, Luc Devroye, Vida Dujmovic |
| 2012 | MMAR | Nonparametric identification of robot flexible joint space manipulator. | Adam Krzyzak, Jerzy Z. Sasiadek, Steve Ulrich |
| 2011 | ISIT | Radial Basis Function Networks with optimal kernels. | Adam Krzyzak |
| 2011 | MMAR | Accurate feature matching for autonomous vehicle navigation in urban environments. | Jerzy Z. Sasiadek, Mark J. Walker, Adam Krzyzak |
| 2010 | ICAISC | Pattern Recognition with Linearly Structured Labels Using Recursive Kernel Estimator. | Adam Krzyzak, Ewaryst Rafajlowicz |
| 2009 | ICIAP | On Improving the Efficiency of Eigenface Using a Novel Facial Feature Localization. | Aleksey Izmailov, Adam Krzyzak |
| 2009 | ISIT | On application of nonparametric regression estimation to options pricing. | Michael Kohler, Adam Krzyzak, Harro Walk |
| 2008 | AI | Comparison of Pleomorphic and Structural Features Used for Breast Cancer Malignancy Classification. | Lukasz Jelen, Adam Krzyzak, Thomas Fevens |
| 2008 | ICAISC | Nonlinear Function Learning Using Radial Basis Function Networks: Convergence and Rates. | Adam Krzyzak, Dominik Schfer |
| 2008 | ICPR | A new courtesy amount recognition module of a Check Reading System. | Wu Ding, Ching Y. Suen, Adam Krzyzak |
| 2008 | ICPR | Effective shrinkage of large multi-class linear svm models for text categorization. | Jian-xiong Dong, Ching Y. Suen, Adam Krzyzak |
| 2006 | ICAISC | Nonlinear Function Learning by the Normalized Radial Basis Function Networks. | Adam Krzyzak, Dominik Schfer |
| 2006 | ICIP | Palmprint Classification using Dual-Tree Complex Wavelets. | Guangyi Chen, Tien D. Bui, Adam Krzyzak |
| 2006 | ICPR | Invariant Ridgelet-Fourier Descriptor for Pattern Recognition. | Guangyi Chen, Tien D. Bui, Adam Krzyzak |
| 2006 | ISIT | Rate of convergence of local averaging plug-in classification rules under margin condition. | Michael Kohler, Adam Krzyzak |
| 2006 | MICCAI | Fast and Robust Clinical Triple-Region Image Segmentation Using One Level Set Function. | Shuo Li, Thomas Fevens, Adam Krzyzak, Chao Jin, Song Li |
| 2005 | ICDAR | Cursive word skew/slant corrections based on Radon transform. | Jian-xiong Dong, Dominique Ponson, Adam Krzyzak, Ching Y. Suen |
| 2005 | IJCNN | Algorithms of fast SVM evaluation based on subspace projection. | Jian-xiong Dong, Ching Y. Suen, Adam Krzyzak |
| 2005 | ISIT | Rates of convergence for adaptive regression estimates with multiple hidden layer feedforward neural networks. | Michael Kohler, Adam Krzyzak |
| 2005 | MICCAI | Toward Automatic Computer Aided Dental X-ray Analysis Using Level Set Method. | Shuo Li, Thomas Fevens, Adam Krzyzak, Chao Jin, Song Li |
| 2004 | ICAISC | Combining Space-Filling Curves and Radial Basis Function Networks. | Adam Krzyzak, Ewa Skubalska-Rafajlowicz |
| 2004 | ICASSP | Image denoising using neighbouring wavelet coefficients. | Guangyi Chen, Tien D. Bui, Adam Krzyzak |
| 2004 | ISIT | Adaptive regression estimation with multilayer feedforward neural networks. | Michael Kohler, Adam Krzyzak |
| 2004 | MICCAI | Image Segmentation Adapted for Clinical Settings by Combining Pattern Classification and Level Sets. | Shuo Li, Thomas Fevens, Adam Krzyzak |
| 2001 | ICDAR | A Multi-Net Local Learning Framework for Pattern Recognition. | Jian-xiong Dong, Adam Krzyzak, Ching Y. Suen |
| 2000 | ICPR | Piecewise Linear Skeletonization Using Principal Curves. | Balzs Kgl, Adam Krzyzak |
| 2000 | ICPR | Radial Basis Function Networks and Complexity Regularization in Function Learning and Classification. | Balzs Kgl, Adam Krzyzak, Heinrich Niemann |
| 1998 | ICPR | Radial basis function networks in nonparametric classification and function learning. | Balzs Kgl, Adam Krzyzak, Heinrich Niemann |
| 1997 | ICASSP | Rates of convergence of the recursive radial basis function networks. | Janusz Mazurek, Adam Krzyzak, Andrzej Cichocki |
| 1996 | ICPR | Radial basis function networks and nonparametric classification: complexity regularization and rates of convergence. | Adam Krzyzak, Tams Linder |
| 1996 | ICPR | Fast k-NN classification rule using metric on space-filling curves. | Ewa Skubalska-Rafajlowicz, Adam Krzyzak |
| 1994 | ICPR | On L | Adam Krzyzak, Stan Klasa, Lei Xu |
| 1994 | ICPR | Nonparametric classification using radial basis function nets and empirical risk minimization. | Adam Krzyzak, Tams Linder, Gbor Lugosi |
| 1994 | ISCAS | On Estimation of Nonlinear Systems by Nonparametric Techniques. | Adam Krzyzak, Rolf Unbehauen |
| 1993 | ICDAR | Segmentation of handwritten digits using contour features. | Nick W. Strathy, Ching Y. Suen, Adam Krzyzak |
| 1992 | CVPR | Range image segmentation and fitting by residual consensus. | Xinming Yu, Tien D. Bui, Adam Krzyzak |
| 1992 | ICPR | Unsupervised and supervised classifications by rival penalized competitive learning. | Lei Xu, Adam Krzyzak, Erkki Oja |
| 1990 | IJCNN | Classification of large set of handwritten characters using modified back propagation model. | Adam Krzyzak, W. Dai, Ching Y. Suen |
| 1990 | IJCNN | Motion estimation based on point correspondence using neural network. | P. Y. Zhu, Tony Kasvand, Adam Krzyzak |
| 1988 | ICPR | Reconstruction of two dimensional patterns by Fourier descriptors. | Adam Krzyzak, Siu Yun Leung, Ching Y. Suen |
| 1988 | MVA | Fourier Descriptors of Two Dimensional Shapes - Reconstruction and Accuracy. | Adam Krzyzak, Siu Yun Leung, Ching Y. Suen |