Adam Krzyzak - RankMe

234 papers A* 1A 4B 28C 4Misc 15Journal 88Unranked 84

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Analysis of the Rate of Convergence of an Over-Parametrized Deep Neural Network Estimate Learned by Gradient Descent. IEEE Trans. Inf. Theory Michael Kohler, Adam Krzyzak
2025	—	`conf`	Invariant Aircraft Recognition with Fourier and Dual-Tree Complex Wavelet Features. ICAISC (2) Guangyi Chen, Adam Krzyzak, Ventzeslav Valev
2025	—	`conf`	Invariant Pattern Recognition with Selectively Denoising and Ridgelet-Fourier Features. ICAISC (2) Guang Yi Chen, Adam Krzyzak
2025	J	`jnl`	Regularized Over-Parametrized Neural Networks Learned by Gradient Descent Can Generalize Well. IEEE Trans. Inf. Theory Michael Kohler, Adam Krzyzak
2025	J	`jnl`	Statistically guided deep learning. CoRR Michael Kohler, Adam Krzyzak
2024	J	`jnl`	Analysis of the rate of convergence of an over-parametrized convolutional neural network image classifier learned by gradient descent. CoRR Michael Kohler, Adam Krzyzak, Benjamin Walter
2024	—	`ed.`	Artificial Neural Networks in Pattern Recognition - 11th IAPR TC3 Workshop, ANNPR 2024, Montreal, QC, Canada, October 10-12, 2024, Proceedings ANNPR Ching Yee Suen, Adam Krzyzak, Mirco Ravanelli, Edmondo Trentin, Cem Subakan, Nicola Nobile
2024	—	`conf`	Comparative Study of Deep Learning Models in Melanoma Detection. ANNPR Farnaz Haghshenas, Adam Krzyzak, Stanislaw Osowski
2024	J	`jnl`	Designing shape-preserving descriptors for classifying signals with application to vibrations of large mechanical structures. Knowl. Based Syst. Adam Krzyzak, Jedrzej Wieckowski, Wojciech Rafajlowicz, Przemyslaw Moczko, Ewaryst Rafajlowicz
2024	J	`jnl`	Efficient integration of perceptual variational autoencoder into dynamic latent scale generative adversarial network. Expert Syst. J. Knowl. Eng. Jeongik Cho, Adam Krzyzak
2024	—	`conf`	Eigenmaps - Modified PCA-Based Approach for Dimensionality Reduction of Multivariate Time Series of Geospatial Data. ICAISC (2) Ewa Skubalska-Rafajlowicz, Adam Krzyzak, Michal Piórek
2024	J	`jnl`	Face recognition via selective denoising, filter faces and hog features. Signal Image Video Process. Guang Yi Chen, Adam Krzyzak
2024	—	`conf`	Hyperspectral Face Recognition via Existing 2D Face Recognition Methods. ICIC (5) Guangyi Chen, Wenfang Xie, Adam Krzyzak
2024	J	`jnl`	Illumination invariant face recognition via multiscale filter faces and voting technique. Signal Image Video Process. Guang Yi Chen, Adam Krzyzak
2024	—	`conf`	MobileNetV3 Layer Sensitivity and Sparsity. SERP4IoT Belal Nwiran, Adam Krzyzak
2024	—	`conf`	Palmprint Classification via Filter Faces and Feature Extraction. ANNPR Guang Yi Chen, Adam Krzyzak, Ventzeslav Valev
2024	B	`conf`	Rate of Convergence of an Over-Parametrized Convolutional Neural Network Image Classifier Learned by Gradient Descent. ISIT Michael Kohler, Benjamin Walter, Adam Krzyzak
2024	—	`conf`	Vision Transformer Features-Based Leukemia Classification. ANNPR Karima Ben Suliman, Adam Krzyzak
2024	J	`jnl`	Wavelet-based 3D Data Cube Denoising Using Three Scales of Dependency. Circuits Syst. Signal Process. Guangyi Chen, Adam Krzyzak
2023	—	`conf`	A Robust Preprocessing Method for Measuring Image Visual Quality Using Log-Polar FFT Features. IWAIPR Guang Yi Chen, Adam Krzyzak, Ventzeslav Valev
2023	—	`conf`	An Experimental Study on MRI Denoising with Existing Image Denoising Methods. ICIC (2) Guangyi Chen, Wenfang Xie, Adam Krzyzak
2023	J	`jnl`	Compatible-domain Transfer Learning for Breast Cancer Classification with Limited Annotated Data. Comput. Biol. Medicine Mohammad Amin Shamshiri, Adam Krzyzak, Marek Kowal, Józef Korbicz
2023	—	`conf`	Improved Blind Image Denoising with DnCNN. ICIC (2) Guangyi Chen, Wenfang Xie, Adam Krzyzak
2023	J	`jnl`	Invariant Pattern Recognition with Log-Polar Transform and Dual-Tree Complex Wavelet-Fourier Features. Sensors Guangyi Chen, Adam Krzyzak
2023	—	`conf`	Learning Bezier-Durrmeyer Type Descriptors for Classifying Curves - Preliminary Studies. ICAISC (1) Adam Krzyzak, Wojciech Rafajlowicz, Ewaryst Rafajlowicz
2023	—	`conf`	Learning Shape-Preserving Autoencoder for the Reconstruction of Functional Data from Noisy Observations. ICCS (2) Adam Krzyzak, Wojciech Rafajlowicz, Ewaryst Rafajlowicz
2023	J	`jnl`	On the rate of convergence of an over-parametrized Transformer classifier learned by gradient descent. CoRR Michael Kohler, Adam Krzyzak
2022	—	`conf`	A New Preprocessing Method for Measuring Image Visual Quality Robust to Rotation and Spatial Shifts. S+SSPR Guangyi Chen, Adam Krzyzak, Ventzeslav Valev
2022	B	`conf`	Analysis of Different Deep Learning Architectures to Learn Generalised Classifier Stacking on Riemannian and Grassmann Manifolds. ICPR Vitaliy Tayanov, Adam Krzyzak, Ching Y. Suen
2022	—	`conf`	Convergence of RBF Networks Regression Function Estimates and Classifiers. ICAISC (1) Adam Krzyzak, Tomasz Galkowski, Marian Partyka
2022	C	`conf`	Dynamic Latent Scale for GAN Inversion. ICPRAM Jeongik Cho, Adam Krzyzak
2022	J	`jnl`	Estimation of a Function of Low Local Dimensionality by Deep Neural Networks. IEEE Trans. Inf. Theory Michael Kohler, Adam Krzyzak, Sophie Langer
2022	—	`conf`	Fast Estimation of Multidimensional Regression Functions by the Parzen Kernel-Based Method. ICONIP (4) Tomasz Galkowski, Adam Krzyzak
2022	C	`conf`	Fast Estimation of Multidimensional Regression Functions. ICARCV Tomasz Galkowski, Adam Krzyzak, Piotr Dziwiñski
2022	J	`jnl`	Hyperspectral face recognition with histogram of oriented gradient features and collaborative representation-based classifier. Multim. Tools Appl. Guang Yi Chen, Adam Krzyzak, Wen-Fang Xie
2022	J	`jnl`	Hyperspectral imagery classification with minimum noise fraction, 2D spatial filtering and SVM. Int. J. Wavelets Multiresolution Inf. Process. Guangyi Chen, Adam Krzyzak, Shen-En Qian
2022	—	`conf`	Illumination Invariant Face Recognition Using Directional Gradient Maps. ICIC (1) Guangyi Chen, Wenfang Xie, Adam Krzyzak
2022	J	`jnl`	Noise Robust Illumination Invariant Face Recognition Via Bivariate Wavelet Shrinkage in Logarithm Domain. J. Artif. Intell. Soft Comput. Res. Guang Yi Chen, Adam Krzyzak, Piotr Duda, Andrzej Cader
2022	—	`conf`	Refining AttnGAN Using Attention on Attention Network. S+SSPR Naitik Bhise, Adam Krzyzak, Tien D. Bui
2022	—	`conf`	Self-supervised Out-of-Distribution Detection with Dynamic Latent Scale GAN. S+SSPR Jeongik Cho, Adam Krzyzak
2022	—	`ed.`	Structural, Syntactic, and Statistical Pattern Recognition - Joint IAPR International Workshops, S+SSPR 2022, Montreal, QC, Canada, August 26-27, 2022, Proceedings S+SSPR Adam Krzyzak, Ching Y. Suen, Andrea Torsello, Nicola Nobile
2022	C	`conf`	Taking Advantage of Typical Testor Algorithms for Computing Non-reducible Descriptors. ICPRAM Manuel S. Lazo-Cortés, José Fco. Martínez-Trinidad, Jesús Ariel Carrasco-Ochoa, Ventzeslav Valev, Mohammad Amin Shamshiri, Adam Krzyzak
2021	J	`jnl`	A New Approach to Detection of Changes in Multidimensional Patterns - Part II. J. Artif. Intell. Soft Comput. Res. Tomasz Galkowski, Adam Krzyzak, Zofia Patora-Wysocka, Zbigniew Filutowicz, Lipo Wang
2021	—	`conf`	Abrupt Change Detection by the Nonparametric Approach Based on Orthogonal Series Estimates. ICAISC (1) Tomasz Galkowski, Adam Krzyzak
2021	J	`jnl`	An FFT-based visual quality metric robust to spatial shift. Int. J. Wavelets Multiresolution Inf. Process. Guangyi Chen, Adam Krzyzak
2021	B	`conf`	Convergence properties of radial basis functions networks in function learning. KES Adam Krzyzak, Heinrich Niemann
2021	J	`jnl`	Ensemble Learning Using Matrices of Classifier Interactions and Decision Profiles on Riemannian and Grassmann Manifolds. Int. J. Pattern Recognit. Artif. Intell. Vitaliy Tayanov, Adam Krzyzak, Ching Y. Suen
2021	J	`jnl`	Noise reduction of shot-noise-dominated hyperspectral imagery by combining PCA with existing denoising methods. Int. J. Wavelets Multiresolution Inf. Process. Guangyi Chen, Adam Krzyzak
2020	—	`conf`	A New Approach to Detection of Abrupt Changes in Black-and-White Images. ICAISC (2) Tomasz Galkowski, Adam Krzyzak
2020	J	`jnl`	A New Approach to Detection of Changes in Multidimensional Patterns. J. Artif. Intell. Soft Comput. Res. Tomasz Galkowski, Adam Krzyzak, Zbigniew Filutowicz
2020	—	`conf`	An Empirical Evaluation of Attention and Pointer Networks for Paraphrase Generation. ICCS (3) Varun Gupta, Adam Krzyzak
2020	—	`conf`	Breast Cancer Classification from Histopathological Images Using Transfer Learning and Deep Neural Networks. ICAISC (1) Abdulrahman Aloyayri, Adam Krzyzak
2020	—	`conf`	Classification of Lung Diseases Using Deep Learning Models. ICCS (3) Matthew Zak, Adam Krzyzak
2020	B	`conf`	Comparison of Stacking-based Classifier Ensembles using Euclidean and Riemannian Geometries. ICPR Vitaliy Tayanov, Adam Krzyzak, Ching Y. Suen
2020	—	`conf`	Edge Curve Estimation by the Nonparametric Parzen Kernel Method. ICONIP (4) Tomasz Galkowski, Adam Krzyzak
2020	—	`conf`	Genre-ous: The Movie Genre Detector. ACIIDS (Companion) Amr Shahin, Adam Krzyzak
2020	—	`conf`	Manifold-Based Classifier Ensembles. ICPRAI Vitaliy Tayanov, Adam Krzyzak, Ching Y. Suen
2020	J	`jnl`	On the rate of convergence of a deep recurrent neural network estimate in a regression problem with dependent data. CoRR Michael Kohler, Adam Krzyzak
2020	J	`jnl`	On the rate of convergence of image classifiers based on convolutional neural networks. CoRR Michael Kohler, Adam Krzyzak, Benjamin Walter
2020	—	`conf`	Predicting US Elections with Social Media and Neural Networks. ICPRAI Ellison Chan, Adam Krzyzak, Ching Y. Suen
2020	B	`conf`	Supervised Classification Using Graph-based Space Partitioning for Multiclass Problems. ICPR Nicola Yanev, Ventzeslav Valev, Karima Ben Suliman, Adam Krzyzak
2019	J	`jnl`	Deep Learning and MARS: A Connection. CoRR Michael Kohler, Adam Krzyzak, Sophie Langer
2019	—	`conf`	Deep Neural Networks for Breast Cancer Diagnosis: Fine Needle Biopsy Scenario. PCBBE Bartosz Miselis, Thomas Fevens, Adam Krzyzak, Marek Kowal, Roman Monczak
2019	J	`jnl`	Estimation of a Density From an Imperfect Simulation Model. IEEE Trans. Inf. Theory Michael Kohler, Adam Krzyzak
2019	—	`conf`	On Learning and Convergence of RBF Networks in Regression Estimation and Classification. ICAISC (1) Adam Krzyzak, Marian Partyka
2019	—	`conf`	Supervised Classification Box Algorithm Based on Graph Partitioning. CORES Ventzeslav Valev, Nicola Yanev, Adam Krzyzak, Karima Ben Suliman
2019	J	`jnl`	Supervised classification using graph-based space partitioning. Pattern Recognit. Lett. Nicola Yanev, Ventzeslav Valev, Adam Krzyzak, Karima Ben Suliman
2018	J	`jnl`	Adaptive Estimation of Quantiles in a Simulation Model. IEEE Trans. Inf. Theory Michael Kohler, Adam Krzyzak
2018	—	`conf`	Computerized Counting-Based System for Acute Lymphoblastic Leukemia Detection in Microscopic Blood Images. ICANN (2) Karima Ben Suliman, Adam Krzyzak
2018	J	`jnl`	Filter-based face recognition under varying illumination. IET Biom. Guangyi Chen, Tien D. Bui, Adam Krzyzak
2018	—	`conf`	Learning and Convergence of the Normalized Radial Basis Functions Networks. ICAISC (1) Adam Krzyzak, Marian Partyka
2018	J	`jnl`	Mass detection in digital breast tomosynthesis data using convolutional neural networks and multiple instance learning. Comput. Biol. Medicine Mina Yousefi, Adam Krzyzak, Ching Y. Suen
2018	B	`conf`	Prediction-based classification using learning on Riemannian manifolds. ICPR Vitaliy Tayanov, Adam Krzyzak, Ching Y. Suen
2018	—	`conf`	Supervised Classification Using Feature Space Partitioning. S+SSPR Ventzeslav Valev, Nicola Yanev, Adam Krzyzak, Karima Ben Suliman
2018	Misc	`conf`	Trajectory Tracking and Nonparametric Identification of Flexible Space Robot Manipulators. MMAR Jurek Z. Sasiadek, Steve Ulrich, Adam Krzyzak
2017	—	`conf`	A Study of Cluster Validity Indices for Real-Life Data. ICAISC (2) Artur Starczewski, Adam Krzyzak
2017	—	`conf`	Classification Boosting by Data Decomposition Using Consensus-Based Combination of Classifiers. ICIAR Vitaliy Tayanov, Adam Krzyzak, Ching Y. Suen
2017	—	`conf`	Convergence and Rates of Convergence of Recursive Radial Basis Functions Networks in Function Learning and Classification. ICAISC (1) Adam Krzyzak, Marian Partyka
2017	—	`conf`	Cytological malignancy grading systems for fine needle aspiration biopsies of breast cancer. BIBM Muneera Alsaedi, Thomas Fevens, Adam Krzyzak, Lukasz Jelen
2017	Misc	`conf`	Direct fuzzy adaptive control and nonparametric identification of robot manipulator with elastic joints. MMAR Jurek Z. Sasiadek, Steve Ulrich, Adam Krzyzak
2017	—	`conf`	Improvement of the Validity Index for Determination of an Appropriate Data Partitioning. ICAISC (2) Artur Starczewski, Adam Krzyzak
2017	J	`jnl`	Nonparametric Regression Based on Hierarchical Interaction Models. IEEE Trans. Inf. Theory Michael Kohler, Adam Krzyzak
2017	J	`jnl`	Nonparametric estimation of a function from noiseless observations at random points. J. Multivar. Anal. Benedikt Bauer, Luc Devroye, Michael Kohler, Adam Krzyzak, Harro Walk
2017	J	`jnl`	Nonparametric estimation of a latent variable model. J. Multivar. Anal. Augustin Kelava, Michael Kohler, Adam Krzyzak, Tim Fabian Schaffland
2017	—	`conf`	Some Properties of Consensus-Based Classification. CORES Vitaliy Tayanov, Adam Krzyzak, Ching Y. Suen
2016	—	`ch.`	3D Tomosynthesis to Detect Breast cancer. Handbook of Pattern Recognition and Computer Vision Yanbin Lu, Mina Yousefi, John Ellenberger, Richard H. Moore, Daniel B. Kopans, Adam Krzyzak, Ching Y. Suen
2016	—	`conf`	A Modification of the Silhouette Index for the Improvement of Cluster Validity Assessment. ICAISC (2) Artur Starczewski, Adam Krzyzak
2016	B	`conf`	A new geometrical approach for solving the supervised pattern recognition problem. ICPR Ventzeslav Valev, Nicola Yanev, Adam Krzyzak
2016	J	`jnl`	A novel technique for detecting suspicious lesions in breast ultrasound images. Concurr. Comput. Pract. Exp. Behnam Karimi, Adam Krzyzak
2016	J	`jnl`	Empirical Comparison of Nonparametric Regression Estimates on Real Data. Commun. Stat. Simul. Comput. Daniel Jones, Michael Kohler, Adam Krzyzak, Alexander Richter
2016	J	`jnl`	Influence of feature set reduction on breast cancer malignancy classification of fine needle aspiration biopsies. Comput. Biol. Medicine Lukasz Jelen, Adam Krzyzak, Thomas Fevens, Michal Jelen
2016	J	`jnl`	Nonparametric Quantile Estimation Based on Surrogate Models. IEEE Trans. Inf. Theory Georg C. Enss, Michael Kohler, Adam Krzyzak, Roland Platz
2016	—	`conf`	On the Cesàro-Means-Based Orthogonal Series Approach to Learning Time-Varying Regression Functions. ICAISC (2) Piotr Duda, Lena Pietruczuk, Maciej Jaworski, Adam Krzyzak
2016	—	`ch.`	Recent Results on Nonparametric Quantile Estimation in a Simulation Model. Challenges in Computational Statistics and Data Mining Adam Krzyzak
2016	—	`conf`	Recognizing Predatory Chat Documents using Semi-supervised Anomaly Detection. Document Recognition and Retrieval Mohammad Reza Ebrahimi, Ching Y. Suen, Olga Ormandjieva, Adam Krzyzak
2016	J	`jnl`	Sparse support vector machine for pattern recognition. Concurr. Comput. Pract. Exp. Guangyi Chen, Tien D. Bui, Adam Krzyzak
2016	B	`conf`	The rates of convergence of neural network estimates of hierarchical interaction regression models. ISIT Michael Kohler, Adam Krzyzak
2015	—	`conf`	Adaptation of RBM Learning for Intel MIC Architecture. ICAISC (1) Tomasz Olas, Wojciech K. Mleczko, Robert K. Nowicki, Roman Wyrzykowski, Adam Krzyzak
2015	J	`jnl`	Adaptive Density Estimation From Data With Small Measurement Errors. IEEE Trans. Inf. Theory Tina Felber, Michael Kohler, Adam Krzyzak
2015	Misc	`conf`	Nonparametric recursive identification and control of a flexible joint robot manipulator. MMAR Jerzy Z. Sasiadek, Anthony Green, Adam Krzyzak
2015	Misc	`conf`	Performance Evaluation of the Silhouette Index. ICAISC Artur Starczewski, Adam Krzyzak
2014	—	`conf`	A new approach for binary feature selection and combining classifiers. HPCS Asai Asaithambi, Ventzeslav Valev, Adam Krzyzak, Vesna Zeljkovic
2014	—	`conf`	Analysis of Feature Maps Selection in Supervised Learning Using Convolutional Neural Networks. Canadian AI Joseph Lin Chu, Adam Krzyzak
2014	—	`conf`	Application of Support Vector Machines, Convolutional Neural Networks and Deep Belief Networks to Recognition of Partially Occluded Objects. ICAISC (1) Joseph Lin Chu, Adam Krzyzak
2014	—	`conf`	Comparative Study of Feature Selection for White Blood Cell Differential Counts in Low Resolution Images. ANNPR Mehdi Habibzadeh, Adam Krzyzak, Thomas Fevens
2014	—	`conf`	Computer-Aided System for Automatic Classification of Suspicious Lesions in Breast Ultrasound Images. ICAISC (2) Behnam Karimi, Adam Krzyzak
2014	—	`conf`	Convex Cardinality Restricted Boltzmann Machine and Its Application to Pattern Recognition. Canadian AI Mina Yousefi, Adam Krzyzak, Ching Y. Suen
2014	B	`conf`	Density estimation using real and artificial data. ISIT Tina Felber, Michael Kohler, Adam Krzyzak
2014	Misc	`conf`	Nonparametric identification and control of flexible joint robot manipulator. MMAR Jerzy Z. Sasiadek, Anthony Green, Steve Ulrich, Adam Krzyzak
2014	—	`conf`	One-Class Classification Decomposition for Imbalanced Classification of Breast Cancer Malignancy Data. ICAISC (1) Bartosz Krawczyk, Lukasz Jelen, Adam Krzyzak, Thomas Fevens
2014	J	`jnl`	The Recognition Of Partially Occluded Objects with Support Vector Machines, Convolutional Neural Networks and Deep Belief Networks. J. Artif. Intell. Soft Comput. Res. Joseph Lin Chu, Adam Krzyzak
2014	J	`jnl`	Web-Based Framework For Breast Cancer Classification. J. Artif. Intell. Soft Comput. Res. Tomasz Bruzdzinski, Adam Krzyzak, Thomas Fevens, Lukasz Jelen
2013	J	`jnl`	A Novel Approach for Automatic Detection and Classification of Suspicious Lesions in Breast Ultrasound Images. J. Artif. Intell. Soft Comput. Res. Behnam Karimi, Adam Krzyzak
2013	—	`conf`	A new approach to short-time harmonic analysis of tonal audio signals using harmonic sinusoidals. CCECE Ali Jannatpour, Adam Krzyzak, Douglas D. O'Shaughnessy
2013	J	`jnl`	Computer-Aided Breast Cancer Diagnosis Based on the Analysis of Cytological Images of Fine Needle Biopsies. IEEE Trans. Medical Imaging Pawel Filipczuk, Thomas Fevens, Adam Krzyzak, Roman Monczak
2013	—	`conf`	Invariant Object Recognition Using Radon and Fourier Transforms. ISNN (1) Guangyi Chen, Tien Dai Bui, Adam Krzyzak, Yongjia Zhao
2013	—	`conf`	Sparse Support Vector Machine for pattern recognition. HPCS Guangyi Chen, Tien D. Bui, Adam Krzyzak
2013	—	`conf`	Support Vector Machine with Customized Kernel. ISNN (1) Guangyi Chen, Tien Dai Bui, Adam Krzyzak, Weihua Liu
2013	—	`conf`	White Blood Cell Differential Counts Using Convolutional Neural Networks for Low Resolution Images. ICAISC (2) Mehdi Habibzadeh, Adam Krzyzak, Thomas Fevens
2012	—	`conf`	Adaptive video denoising using block matching 3-D filtering. CCECE Guangyi Chen, Tien Dai Bui, Adam Krzyzak, Stéphane Coulombe
2012	B	`conf`	An affine invariant k-nearest neighbor regression estimate. ISIT Gérard Biau, Adam Krzyzak, Luc Devroye, Vida Dujmovic
2012	J	`jnl`	An affine invariant k-nearest neighbor regression estimate. J. Multivar. Anal. Gérard Biau, Luc Devroye, Vida Dujmovic, Adam Krzyzak
2012	Misc	`conf`	Analysis of White Blood Cell Differential Counts Using Dual-Tree Complex Wavelet Transform and Support Vector Machine Classifier. ICCVG Mehdi Habibzadeh, Adam Krzyzak, Thomas Fevens
2012	—	`conf`	Dimensionality Reduction Using External Context in Pattern Recognition Problems with Ordered Labels. ICAISC (1) Ewa Skubalska-Rafajlowicz, Adam Krzyzak, Ewaryst Rafajlowicz
2012	J	`jnl`	Editorial. Trans. Mach. Learn. Data Min. Adam Krzyzak
2012	J	`jnl`	Nonparametric estimation of non-stationary velocity fields from 3D particle tracking velocimetry data. Comput. Stat. Data Anal. Michael Kohler, Adam Krzyzak
2012	Misc	`conf`	Nonparametric identification of robot flexible joint space manipulator. MMAR Adam Krzyzak, Jerzy Z. Sasiadek, Steve Ulrich
2012	Misc	`conf`	Oversampling Methods for Classification of Imbalanced Breast Cancer Malignancy Data. ICCVG Bartosz Krawczyk, Lukasz Jelen, Adam Krzyzak, Thomas Fevens
2011	Misc	`conf`	Accurate feature matching for autonomous vehicle navigation in urban environments. MMAR Jerzy Z. Sasiadek, Mark J. Walker, Adam Krzyzak
2011	—	`ch.`	Application of Pattern Recognition Techniques for the Analysis of Histopathological Images. Computer Recognition Systems 4 Adam Krzyzak, Thomas Fevens, Mehdi Habibzadeh, Lukasz Jelen
2011	—	`conf`	Counting of RBCs and WBCs in noisy normal blood smear microscopic images. Computer-Aided Diagnosis Mehdi Habibzadeh, Adam Krzyzak, Thomas Fevens, Ali Sadr
2011	J	`jnl`	Denoising of Three-Dimensional Data Cube Using bivariate Wavelet Shrinking. Int. J. Pattern Recognit. Artif. Intell. Guangyi Chen, Tien D. Bui, Adam Krzyzak
2011	B	`conf`	Radial Basis Function Networks with optimal kernels. ISIT Adam Krzyzak
2011	J	`jnl`	Why L1 view and what is next? Kybernetika László Györfi, Adam Krzyzak
2010	—	`conf`	Denoising of Three Dimensional Data Cube Using Bivariate Wavelet Shrinking. ICIAR (1) Guangyi Chen, Tien D. Bui, Adam Krzyzak
2010	—	`conf`	Pattern Recognition with Linearly Structured Labels Using Recursive Kernel Estimator. ICAISC (1) Adam Krzyzak, Ewaryst Rafajlowicz
2009	—	`conf`	Automated Multimodal Biometrics Using Face and Ear. ICIAR Lorenzo Luciano, Adam Krzyzak
2009	—	`conf`	Influence of nuclei segmentation on breast cancer malignancy classification. Computer-Aided Diagnosis Lukasz Jelen, Thomas Fevens, Adam Krzyzak
2009	J	`jnl`	Invariant pattern recognition using radon, dual-tree complex wavelet and Fourier transforms. Pattern Recognit. Guangyi Chen, Tien D. Bui, Adam Krzyzak
2009	Misc	`conf`	On Improving the Efficiency of Eigenface Using a Novel Facial Feature Localization. ICIAP Aleksey Izmailov, Adam Krzyzak
2009	B	`conf`	On application of nonparametric regression estimation to options pricing. ISIT Michael Kohler, Adam Krzyzak, Harro Walk
2008	B	`conf`	A new courtesy amount recognition module of a Check Reading System. ICPR Wu Ding, Ching Y. Suen, Adam Krzyzak
2008	—	`conf`	Cell Phones Personal Authentication Systems Using Multimodal Biometrics. ICIAR Joanna Rokita, Adam Krzyzak, Ching Y. Suen
2008	J	`jnl`	Classification of Breast Cancer Malignancy Using Cytological Images of Fine Needle Aspiration Biopsies. Int. J. Appl. Math. Comput. Sci. Lukasz Jelen, Thomas Fevens, Adam Krzyzak
2008	—	`conf`	Comparison of Pleomorphic and Structural Features Used for Breast Cancer Malignancy Classification. Canadian AI Lukasz Jelen, Adam Krzyzak, Thomas Fevens
2008	B	`conf`	Effective shrinkage of large multi-class linear svm models for text categorization. ICPR Jian-xiong Dong, Ching Y. Suen, Adam Krzyzak
2008	J	`jnl`	Multimodal Biometrics by Face and Hand Images Taken by a Cell Phone Camera. Int. J. Pattern Recognit. Artif. Intell. Joanna Rokita, Adam Krzyzak, Ching Y. Suen
2008	Misc	`conf`	Nonlinear Function Learning Using Radial Basis Function Networks: Convergence and Rates. ICAISC Adam Krzyzak, Dominik Schäfer
2007	—	`conf`	Computer aided root lesion detection using level set and complex wavelets. Computer-Aided Diagnosis Shuo Li, Thomas Fevens, Adam Krzyzak, Chao Jin, Song Li
2007	J	`jnl`	On the Rate of Convergence of Local Averaging Plug-In Classification Rules Under a Margin Condition. IEEE Trans. Inf. Theory Michael Kohler, Adam Krzyzak
2007	J	`jnl`	Semi-automatic computer aided lesion detection in dental X-rays using variational level set. Pattern Recognit. Shuo Li, Thomas Fevens, Adam Krzyzak, Chao Jin, Song Li
2006	J	`jnl`	An automatic variational level set segmentation framework for computer aided dental X-rays analysis in clinical environments. Comput. Medical Imaging Graph. Shuo Li, Thomas Fevens, Adam Krzyzak, Song Li
2006	J	`jnl`	Automatic clinical image segmentation using pathological modeling, PCA and SVM. Eng. Appl. Artif. Intell. Shuo Li, Thomas Fevens, Adam Krzyzak, Song Li
2006	—	`conf`	Fast and Robust Clinical Triple-Region Image Segmentation Using One Level Set Function. MICCAI (2) Shuo Li, Thomas Fevens, Adam Krzyzak, Chao Jin, Song Li
2006	—	`conf`	Invariant Ridgelet-Fourier Descriptor for Pattern Recognition. ICPR (2) Guangyi Chen, Tien D. Bui, Adam Krzyzak
2006	Misc	`conf`	Nonlinear Function Learning by the Normalized Radial Basis Function Networks. ICAISC Adam Krzyzak, Dominik Schäfer
2006	B	`conf`	Palmprint Classification using Dual-Tree Complex Wavelets. ICIP Guangyi Chen, Tien D. Bui, Adam Krzyzak
2006	B	`conf`	Rate of convergence of local averaging plug-in classification rules under margin condition. ISIT Michael Kohler, Adam Krzyzak
2006	J	`jnl`	Rotation invariant feature extraction using Ridgelet and Fourier transforms. Pattern Anal. Appl. Guangyi Chen, Tien D. Bui, Adam Krzyzak
2005	B	`conf`	A level set segmentation for computer-aided dental x-ray analysis. Image Processing Shuo Li, Thomas Fevens, Adam Krzyzak, Song Li
2005	B	`conf`	Algorithms of fast SVM evaluation based on subspace projection. IJCNN Jian-xiong Dong, Ching Y. Suen, Adam Krzyzak
2005	J	`jnl`	An improved handwritten Chinese character recognition system using support vector machine. Pattern Recognit. Lett. Jian-xiong Dong, Adam Krzyzak, Ching Y. Suen
2005	—	`conf`	Automatic Clinical Image Segmentation Using Pathological Modelling, PCA and SVM. MLDM Shuo Li, Thomas Fevens, Adam Krzyzak, Song Li
2005	A	`conf`	Cursive word skew/slant corrections based on Radon transform. ICDAR Jian-xiong Dong, Dominique Ponson, Adam Krzyzak, Ching Y. Suen
2005	J	`jnl`	Fast SVM Training Algorithm with Decomposition on Very Large Data Sets. IEEE Trans. Pattern Anal. Mach. Intell. Jian-xiong Dong, Adam Krzyzak, Ching Y. Suen
2005	J	`jnl`	Image denoising using neighbouring wavelet coefficients. Integr. Comput. Aided Eng. Guangyi Chen, Tien D. Bui, Adam Krzyzak
2005	J	`jnl`	Image denoising with neighbour dependency and customized wavelet and threshold. Pattern Recognit. Guangyi Chen, Tien D. Bui, Adam Krzyzak
2005	—	`conf`	Low-Level Cursive Word Representation Based on Geometric Decomposition. MLDM Jian-xiong Dong, Adam Krzyzak, Ching Y. Suen, Dominique Ponson
2005	J	`jnl`	Nonparametric regression estimation by normalized radial basis function networks. IEEE Trans. Inf. Theory Adam Krzyzak, Dominik Schäfer
2005	B	`conf`	Rates of convergence for adaptive regression estimates with multiple hidden layer feedforward neural networks. ISIT Michael Kohler, Adam Krzyzak
2005	J	`jnl`	Rotation invariant pattern recognition using ridgelets, wavelet cycle-spinning and Fourier features. Pattern Recognit. Guangyi Chen, Tien D. Bui, Adam Krzyzak
2005	A	`conf`	Toward Automatic Computer Aided Dental X-ray Analysis Using Level Set Method. MICCAI Shuo Li, Thomas Fevens, Adam Krzyzak, Chao Jin, Song Li
2004	—	`conf`	A SVM-based framework for autonomous volumetric medical image segmentation using hierarchical and coupled level sets. CARS Shuo Li, Thomas Fevens, Adam Krzyzak
2004	B	`conf`	Adaptive regression estimation with multilayer feedforward neural networks. ISIT Michael Kohler, Adam Krzyzak
2004	Misc	`conf`	Combining Space-Filling Curves and Radial Basis Function Networks. ICAISC Adam Krzyzak, Ewa Skubalska-Rafajlowicz
2004	—	`conf`	Image Segmentation Adapted for Clinical Settings by Combining Pattern Classification and Level Sets. MICCAI (1) Shuo Li, Thomas Fevens, Adam Krzyzak
2004	—	`conf`	Image denoising using neighbouring wavelet coefficients. ICASSP (2) Guangyi Chen, Tien D. Bui, Adam Krzyzak
2003	—	`conf`	A Fast Parallel Optimization for Training Support Vector Machine. MLDM Jian-xiong Dong, Adam Krzyzak, Ching Y. Suen
2003	J	`jnl`	A Fast SVM Training Algorithm. Int. J. Pattern Recognit. Artif. Intell. Jian-xiong Dong, Ching Y. Suen, Adam Krzyzak
2003	J	`jnl`	Contour-based handwritten numeral recognition using multiwavelets and neural networks. Pattern Recognit. Guangyi Chen, Tien D. Bui, Adam Krzyzak
2003	J	`jnl`	Postfiltering versus prefiltering for signal recovery from noisy samples. IEEE Trans. Inf. Theory Miroslaw Pawlak, Ewaryst Rafajlowicz, Adam Krzyzak
2002	—	`book`	A Distribution-Free Theory of Nonparametric Regression. László Györfi, Michael Kohler, Adam Krzyzak, Harro Walk
2002	—	`conf`	A Fast SVM Training Algorithm. SVM Jian-xiong Dong, Adam Krzyzak, Ching Y. Suen
2002	J	`jnl`	Piecewise Linear Skeletonization Using Principal Curves. IEEE Trans. Pattern Anal. Mach. Intell. Balázs Kégl, Adam Krzyzak
2002	J	`jnl`	Verification - a method of enhancing the recognizers of isolated and touching handwritten numerals. Pattern Recognit. Jie Zhou, Adam Krzyzak, Ching Y. Suen
2001	A	`conf`	A Multi-Net Local Learning Framework for Pattern Recognition. ICDAR Jian-xiong Dong, Adam Krzyzak, Ching Y. Suen
2001	—	`conf`	Local Learning Framework for Recognition of Lowercase Handwritten Characters. MLDM Jian-xiong Dong, Adam Krzyzak, Ching Y. Suen
2001	J	`jnl`	Non-parametric identification of dynamic non-linear systems by a Hermite Series Approach. Int. J. Syst. Sci. Adam Krzyzak, Jerzy Z. Sasiadek, Balázs Kégl
2001	—	`conf`	Nonlinear Function Learning and Classification Using Optimal Radial Basis Function Networks. MLDM Adam Krzyzak
2001	J	`jnl`	Nonparametric regression estimation using penalized least squares. IEEE Trans. Inf. Theory Michael Kohler, Adam Krzyzak
2000	J	`jnl`	Learning and Design of Principal Curves. IEEE Trans. Pattern Anal. Mach. Intell. Balázs Kégl, Adam Krzyzak, Tamás Linder, Kenneth Zeger
2000	B	`conf`	Piecewise Linear Skeletonization Using Principal Curves. ICPR Balázs Kégl, Adam Krzyzak
2000	B	`conf`	Radial Basis Function Networks and Complexity Regularization in Function Learning and Classification. ICPR Balázs Kégl, Adam Krzyzak, Heinrich Niemann
1999	J	`jnl`	Recognition of handwritten numerals by Quantum Neural Network with fuzzy features. Int. J. Document Anal. Recognit. Jie Zhou, Qiang Gan, Adam Krzyzak, Ching Y. Suen
1998	—	`conf`	A Polygonal Line Algorithm for Constructing Principal Curves. NIPS Balázs Kégl, Adam Krzyzak, Tamás Linder, Kenneth Zeger
1998	J	`jnl`	Radial basis function networks and complexity regularization in function learning. IEEE Trans. Neural Networks Adam Krzyzak, Tamás Linder
1998	B	`conf`	Radial basis function networks in nonparametric classification and function learning. ICPR Balázs Kégl, Adam Krzyzak, Heinrich Niemann
1997	J	`jnl`	Moving average restoration of bandlimited signals from noisy observations. IEEE Trans. Signal Process. Adam Krzyzak, Ewaryst Rafajlowicz, Miroslaw Pawlak
1997	Misc	`conf`	Rates of convergence of the recursive radial basis function networks. ICASSP Janusz Mazurek, Adam Krzyzak, Andrzej Cichocki
1996	J	`jnl`	Exponential weighting algorithms for reconstruction of bandlimited signals. IEEE Trans. Signal Process. Miroslaw Pawlak, Ewaryst Rafajlowicz, Adam Krzyzak
1996	B	`conf`	Fast k-NN classification rule using metric on space-filling curves. ICPR Ewa Skubalska-Rafajlowicz, Adam Krzyzak
1996	J	`jnl`	Nonparametric estimation and classification using radial basis function nets and empirical risk minimization. IEEE Trans. Neural Networks Adam Krzyzak, Tamás Linder, Gábor Lugosi
1996	J	`jnl`	On nonparametric estimation of nonlinear dynamic systems by the Fourier series estimate. Signal Process. Adam Krzyzak
1996	—	`conf`	Radial Basis Function Networks and Complexity Regularization in Function Learning. NIPS Adam Krzyzak, Tamás Linder
1996	B	`conf`	Radial basis function networks and nonparametric classification: complexity regularization and rates of convergence. ICPR Adam Krzyzak, Tamás Linder
1995	—	`ch.`	Handwriting Recognition Using Weighted Elastic Matching. Research in Computer and Robot Vision Patrice Scattolin, Adam Krzyzak
1995	—	`conf`	On L ICNN Adam Krzyzak, Stan Klasa, Lei Xu
1995	—	`conf`	On optimal radial basis function nets and nonlinear function estimates. ICNN Adam Krzyzak
1994	—	`conf`	Nonparametric classification using radial basis function nets and empirical risk minimization. ICPR (2) Adam Krzyzak, Tamás Linder, Gábor Lugosi
1994	C	`conf`	On Estimation of Nonlinear Systems by Nonparametric Techniques. ISCAS Adam Krzyzak, Rolf Unbehauen
1994	—	`conf`	On L ICPR (2) Adam Krzyzak, Stan Klasa, Lei Xu
1994	J	`jnl`	On radial basis function nets and kernel regression: Statistical consistency, convergence rates, and receptive field size. Neural Networks Lei Xu, Adam Krzyzak, Alan L. Yuille
1994	J	`jnl`	Robust Estimation for Range Image Segmentation and Reconstruction. IEEE Trans. Pattern Anal. Mach. Intell. Xinming Yu, Tien Dai Bui, Adam Krzyzak
1993	J	`jnl`	Rival penalized competitive learning for clustering analysis, RBF net, and curve detection. IEEE Trans. Neural Networks Lei Xu, Adam Krzyzak, Erkki Oja
1993	A	`conf`	Segmentation of handwritten digits using contour features. ICDAR Nick W. Strathy, Ching Y. Suen, Adam Krzyzak
1992	J	`jnl`	Global convergence of the recursive kernel regression estimates with applications in classification and nonlinear system estimation. IEEE Trans. Inf. Theory Adam Krzyzak
1992	J	`jnl`	Methods of combining multiple classifiers and their applications to handwriting recognition. IEEE Trans. Syst. Man Cybern. Lei Xu, Adam Krzyzak, Ching Y. Suen
1992	A*	`conf`	Range image segmentation and fitting by residual consensus. CVPR Xinming Yu, Tien D. Bui, Adam Krzyzak
1992	—	`conf`	Unsupervised and supervised classifications by rival penalized competitive learning. ICPR (2) Lei Xu, Adam Krzyzak, Erkki Oja
1991	J	`jnl`	Neural Nets for Dual Subspace Pattern Recognition Method. Int. J. Neural Syst. Lei Xu, Adam Krzyzak, Erkki Oja
1991	J	`jnl`	On exponential bounds on the Bayes risk of the kernel classification rule. IEEE Trans. Inf. Theory Adam Krzyzak
1991	—	`ch.`	On the Recognition of Handwritten Characters using Neural Networks. Pattern Recognition: Architectures, Algorithms and Applications Adam Krzyzak, W. Dai, Ching Y. Suen
1990	B	`conf`	Classification of large set of handwritten characters using modified back propagation model. IJCNN Adam Krzyzak, W. Dai, Ching Y. Suen
1990	B	`conf`	Motion estimation based on point correspondence using neural network. IJCNN P. Y. Zhu, Tony Kasvand, Adam Krzyzak
1990	J	`jnl`	On estimation of a class of nonlinear systems by the kernel regression estimate. IEEE Trans. Inf. Theory Adam Krzyzak
1989	—	`ch.`	Classification of Digitized Curves Represented by Signatures and Fourier Descriptors. Computer Vision and Shape Recognition Adam Krzyzak, H. El Buaeshi
1989	—	`book`	Computer Vision and Shape Recognition Adam Krzyzak, Tony Kasvand, Ching Y. Suen
1989	J	`jnl`	Reconstruction of two-dimensional patterns from Fourier descriptors. Mach. Vis. Appl. Adam Krzyzak, Siu Yun Leung, Ching Y. Suen
1988	Misc	`conf`	Fourier Descriptors of Two Dimensional Shapes - Reconstruction and Accuracy. MVA Adam Krzyzak, Siu Yun Leung, Ching Y. Suen
1988	B	`conf`	Reconstruction of two dimensional patterns by Fourier descriptors. ICPR Adam Krzyzak, Siu Yun Leung, Ching Y. Suen
1986	J	`jnl`	The rates of convergence of kernel regression estimates and classification rules. IEEE Trans. Inf. Theory Adam Krzyzak
1984	J	`jnl`	Almost everywhere convergence of a recursive regression function estimate and classification. IEEE Trans. Inf. Theory Adam Krzyzak, Miroslaw Pawlak
1984	J	`jnl`	Distribution-free consistency of a nonparametric kernel regression estimate and classification. IEEE Trans. Inf. Theory Adam Krzyzak, Miroslaw Pawlak
1983	J	`jnl`	Classification procedures using multivariate variable kernel density estimate. Pattern Recognit. Lett. Adam Krzyzak