A Comparative Study of Performance and Implementation of Some Area-Based Stereo Algorithms. - Boguslaw Cyganek; Jan Borgosz (CAIP, 2001)

A Proposal of Jitter Analysis Based on a Wavelet Transform. - Jan Borgosz; Boguslaw Cyganek (WAA, 2001)

A new stereo method based on the detector of local structures. - Boguslaw Cyganek; Jan Borgosz (EUSIPCO, 2002)

Telecommunication Jitter Measurement in the Transmultipexer Systems Method Based on the Wavelet Pattern Correlation. - Jan Borgosz; Boguslaw Cyganek (International Conference on Computational Science, 2003)

Combined Detector of Locally-Oriented Structures and Corners in Images Based on a Scale-Space Tensor Representation of Local Neighborhoods of Pixels. - Boguslaw Cyganek (International Conference on Computational Science, 2003)

Maximum Disparity Threshold Estimation for Stereo Imaging Systems via Variogram Analysis. - Boguslaw Cyganek; Jan Borgosz (International Conference on Computational Science, 2003)

An Object-Oriented Software Platform for Examination of Algorithms for Image Processing and Compression. - Boguslaw Cyganek; Jan Borgosz (International Conference on Computational Science, 2003)

Computer Platform for Transformation of Visual Information into Sound Sensations for Vision Impaired Persons. - Boguslaw Cyganek; Jan Borgosz (ICVS, 2003)

An Improved Variogram Analysis of the Maximum Expected Disparity in Stereo Images. - Boguslaw Cyganek; Jan Borgosz (SCIA, 2003)

Wavelet Based Method for an Analysis of Jitter in Telecommunication Signals. - Jan Borgosz; Boguslaw Cyganek (Int. J. Wavelets Multiresolution Inf. Process., 2003)

Neural Computation of the Fundamental Matrix. - Boguslaw Cyganek (ICAISC, 2004)

Fuzzy Nonparametric Measures for Image Matching. - Boguslaw Cyganek; Jan Borgosz (ICAISC, 2004)

Proposal of the Programming Rules for VHDL Designs. - Jan Borgosz; Boguslaw Cyganek (International Conference on Computational Science, 2004)

Depth Recovery with an Area Based Version of the Stereo Matching Method with Scale-Space Tensor Representation of Local Neighborhoods. - Boguslaw Cyganek (International Conference on Computational Science, 2004)

Pseudo-Random Binary Sequences Synchronizer Based on Neural Networks. - Jan Borgosz; Boguslaw Cyganek (ICCSA (3), 2004)

Control Messaging Channel for Distributed Computer Systems. - Boguslaw Cyganek; Jan Borgosz (ICCSA (4), 2004)

Unsupervised Scale-Space Texture detector in Multi-Channel Images Based on the Structural Tensor. - Boguslaw Cyganek (ICCVG, 2004)

Object-Oriented Software Loading and Upgrading Techniques for Embedded and Distributed System. - Boguslaw Cyganek (ICESS, 2004)

Gradient Based Dense Stereo Matching. - Tomasz Twardowski; Boguslaw Cyganek; Jan Borgosz (ICIAR (1), 2004)

Comparison of Nonparametric Transformations and Bit Vector Matching for Stereo Correlation. - Boguslaw Cyganek (IWCIA, 2004)

Object Detection in Multi-channel and Multi-scale Images Based on the Structural Tensor. - Boguslaw Cyganek (CAIP, 2005)

Adaptive Window Growing Technique for Efficient Image Matching. - Boguslaw Cyganek (IbPRIA (1), 2005)

Artificial Neural Receptive Field for Stereovision. - Boguslaw Cyganek (ICANN (1), 2005)

Machine Efficient Adaptive Image Matching Based on the Nonparametric Transformations. - Boguslaw Cyganek (International Conference on Computational Science (1), 2005)

Committee Machine for Road-Signs Classification. - Boguslaw Cyganek (ICAISC, 2006)

Rotation Invariant Recognition of Road Signs with Ensemble of 1-NN Neural Classifiers. - Boguslaw Cyganek (ICANN (2), 2006)

Computational Framework for Family of Order Statistic Filters for Tensor Valued Data. - Boguslaw Cyganek (ICIAR (1), 2006)

Recognition of Road Signs with Mixture of Neural Networks and Arbitration Modules. - Boguslaw Cyganek (ISNN (2), 2006)

Matching of the Multi-channel Images with Improved Nonparametric Transformations and Weighted Binary Distance Measures. - Boguslaw Cyganek (IWCIA, 2006)

Real-Time Detection of the Triangular and Rectangular Shape Road Signs. - Boguslaw Cyganek (ACIVS, 2007)

Road Signs Recognition by the Scale-Space Template Matching in the Log-Polar Domain. - Boguslaw Cyganek (IbPRIA (1), 2007)

Circular Road Signs Recognition with Affine Moment Invariants and the Probabilistic Neural Classifier. - Boguslaw Cyganek (ICANNGA (2), 2007)

The Object-Oriented Protocol for Data Exchange and Control in Computational-Diverse Embedded Systems. - Boguslaw Cyganek (ICESS, 2007)

Circular road signs recognition with soft classifiers. - Boguslaw Cyganek (Integr. Comput. Aided Eng., 2007)

Soft System for Road Sign Detection. - Boguslaw Cyganek (Analysis and Design of Intelligent Systems using Soft Computing Techniques, 2007)

A Real-Time Vision System for Traffic Signs Recognition Invariant to Translation, Rotation and Scale. - Boguslaw Cyganek (ACIVS, 2008)

Real-Time Road Signs Tracking with the Fuzzy Continuously Adaptive Mean Shift Algorithm. - Boguslaw Cyganek (ICAISC, 2008)

Neuro-fuzzy System for Road Signs Recognition. - Boguslaw Cyganek (ICANN (1), 2008)

Architecture of an Integrated Software-Hardware System for Accelerated Image Processing. - Boguslaw Cyganek (ICCVG, 2008)

Intelligent System for Traffic Signs Recognition in Moving Vehicles. - Boguslaw Cyganek (IEA/AIE, 2008)

Road-Signs Recognition System for Intelligent Vehicles. - Boguslaw Cyganek (RobVis, 2008)

An Algorithm for Computation of the Scene Geometry by the Log-Polar Area Matching Around Salient Points. - Boguslaw Cyganek (SOFSEM, 2008)

Color Image Segmentation with Support Vector Machines: Applications to Road Signs Detection. - Boguslaw Cyganek (Int. J. Neural Syst., 2008)

Framework for Object Tracking with Support Vector Machines, Structural Tensor and the Mean Shift Method. - Boguslaw Cyganek (ICONIP (1), 2009)

Recognition of Solid Objects in Images Invariant to Conformal Transformations. - Boguslaw Cyganek (Computer Recognition Systems 3, 2009)

An Analysis of the Road Signs Classification Based on the Higher-Order Singular Value Decomposition of the Deformable Pattern Tensors. - Boguslaw Cyganek (ACIVS (2), 2010)

Image Segmentation with a Hybrid Ensemble of One-Class Support Vector Machines. - Boguslaw Cyganek (HAIS (1), 2010)

Traffic Scene Segmentation and Robust Filtering for Road Signs Recognition. - Boguslaw Cyganek (ICCVG (1), 2010)

Software Framework for Efficient Tensor Representation and Decompositions for Pattern Recognition in Computer Vision. - Boguslaw Cyganek (IP&C, 2010)

Object Recognition with the HOSVD of the Multi-model Space-Variant Pattern Tensors. - Boguslaw Cyganek (CAIP (1), 2011)

Visual System for Drivers' Eye Recognition. - Boguslaw Cyganek; Slawomir Gruszczynski (HAIS (1), 2011)

Image Contents Annotations with the Ensemble of One-class Support Vector Machines. - Boguslaw Cyganek; Kazimierz Wiatr (IJCCI (NCTA), 2011)

Adding parallelism to the hybrid image processing library in multi-threading and multi-core systems. - Boguslaw Cyganek (NESEA, 2011)

Embedding of the Extended Euclidean Distance into Pattern Recognition with Higher-Order Singular Value Decomposition of Prototype Tensors. - Boguslaw Cyganek (CISIM, 2012)

Ensemble of Tensor Classifiers Based on the Higher-Order Singular Value Decomposition. - Boguslaw Cyganek (HAIS (2), 2012)

Pixel-Based Object Detection and Tracking with Ensemble of Support Vector Machines and Extended Structural Tensor. - Boguslaw Cyganek; Michal Wozniak 001 (ICCCI (1), 2012)

A framework for data representation, processing, and dimensionality reduction with the best-rank tensor decomposition. - Boguslaw Cyganek (ITI, 2012)

INSTREET - Application for Urban Photograph Localization. - Michal Grega; Seweryn Lach; Boguslaw Cyganek (MCSS, 2012)

A multi-tool for ground-truth stereo correspondence, object outlining and points-of-interest selection. - Boguslaw Cyganek; Katarzyna Socha (VIGTA@AVI, 2012)

One-Class Support Vector Ensembles for Image Segmentation and Classification. - Boguslaw Cyganek (J. Math. Imaging Vis., 2012)

Evaluation of Image Descriptors for Retrieval of Similar Images. - Rafal Fraczek; Boguslaw Cyganek (Intelligent Tools for Building a Scientific Information Platform, 2012)

A framework for image analysis and object recognition in industrial applications with the ensemble of classifiers. - Boguslaw Cyganek; Michal Wozniak 001 (ETFA, 2013)

Eye recognition in near-infrared images for driver's drowsiness monitoring. - Boguslaw Cyganek; Slawomir Gruszczynski (Intelligent Vehicles Symposium, 2013)

Parallelized Algorithms for Finding Similar Images and Object Recognition. - Rafal Fraczek; Boguslaw Cyganek; Kazimierz Wiatr (Comput. Sci., 2013)

Vehicle Logo Recognition with an Ensemble of Classifiers. - Boguslaw Cyganek; Michal Wozniak 001 (ACIIDS (2), 2014)

The Influence of a Classifiers' Diversity on the Quality of Weighted Aging Ensemble. - Michal Wozniak 001; Piotr Cal; Boguslaw Cyganek (ACIIDS (2), 2014)

Object Recognition with the Higher-Order Singular Value Decomposition of the Multi-dimensional Prototype Tensors. - Boguslaw Cyganek (CSOC, 2014)

Clustering-Based Ensemble of One-Class Classifiers for Hyperspectral Image Segmentation. - Bartosz Krawczyk; Michal Wozniak 001; Boguslaw Cyganek (HAIS, 2014)

Weighted One-Class Classifier Ensemble Based on Fuzzy Feature Space Partitioning. - Bartosz Krawczyk; Michal Wozniak 001; Boguslaw Cyganek (ICPR, 2014)

Novel Parallel Algorithm for Object Recognition with the Ensemble of Classifiers based on the Higher-Order Singular Value Decomposition of Prototype Pattern Tensors. - Boguslaw Cyganek; Katarzyna Socha (VISAPP (2), 2014)

Hybrid computer vision system for drivers' eye recognition and fatigue monitoring. - Boguslaw Cyganek; Slawomir Gruszczynski (Neurocomputing, 2014)

Clustering-based ensembles for one-class classification. - Bartosz Krawczyk; Michal Wozniak 001; Boguslaw Cyganek (Inf. Sci., 2014)

Data Classification with Ensembles of One-Class Support Vector Machines and Sparse Nonnegative Matrix Factorization. - Boguslaw Cyganek; Bartosz Krawczyk (ACIIDS (1), 2015)

Selected aspects of electronic health record analysis from the big data perspective. - Boguslaw Cyganek; Manuel Graña; Andrzej Kasprzak; Krzysztof Walkowiak; Michal Wozniak 001 (BIBM, 2015)

Tensor based representation and analysis of the electronic healthcare record data. - Boguslaw Cyganek; Michal Wozniak 001 (BIBM, 2015)

Real-Time Eye Detection and Tracking in the Near-Infrared Video for Drivers' Drowsiness Control. - Boguslaw Cyganek (CORES, 2015)

Real-time object recognition in multidimensional images based on joined extended structural tensor and higher-order tensor decomposition methods. - Boguslaw Cyganek; Bogdan Smolka (Real-Time Image and Video Processing, 2015)

Impulsive noise suppression in color images based on the geodesic digital paths. - Bogdan Smolka; Boguslaw Cyganek (Real-Time Image and Video Processing, 2015)

Multidimensional data classification with chordal distance based kernel and Support Vector Machines. - Boguslaw Cyganek; Bartosz Krawczyk; Michal Wozniak 001 (Eng. Appl. Artif. Intell., 2015)

An Improved Vehicle Logo Recognition Using a Classifier Ensemble Based on Pattern Tensor Representation and Decomposition. - Boguslaw Cyganek; Michal Wozniak 001 (New Gener. Comput., 2015)

Hybrid ensemble of classifiers for logo and trademark symbols recognition. - Boguslaw Cyganek (Soft Comput., 2015)

Ensembles of Heterogeneous Concept Drift Detectors - Experimental Study. - Michal Wozniak 001; Pawel Ksieniewicz; Boguslaw Cyganek; Krzysztof Walkowiak (CISIM, 2016)

On Robust Computation of Tensor Classifiers Based on the Higher-Order Singular Value Decomposition. - Boguslaw Cyganek; Michal Wozniak 001 (CSOC (2), 2016)

Efficient Multidimensional Pattern Recognition in Kernel Tensor Subspaces. - Boguslaw Cyganek; Michal Wozniak 001 (DMBD, 2016)

A First Attempt on Online Data Stream Classifier Using Context. - Michal Wozniak 001; Boguslaw Cyganek (DMBD, 2016)

Ensemble of HOSVD Generated Tensor Subspace Classifiers with Optimal Tensor Flattening Directions. - Boguslaw Cyganek; Michal Wozniak 001; Dariusz Jankowski (HAIS, 2016)

Active Learning Classifier for Streaming Data. - Michal Wozniak 001; Boguslaw Cyganek; Andrzej Kasprzak; Pawel Ksieniewicz; Krzysztof Walkowiak (HAIS, 2016)

Examination of the Deep Neural Networks in Classification of Distorted Signals. - Michal Koziarski; Boguslaw Cyganek (ICAISC (2), 2016)

Efficient Computation of the Tensor Chordal Kernels. - Boguslaw Cyganek; Michal Wozniak 001 (ICCS, 2016)

Learning Decision Trees from Data Streams with Concept Drift. - Dariusz Jankowski; Konrad Jackowski; Boguslaw Cyganek (ICCS, 2016)

Active Learning Classification of Drifted Streaming Data. - Michal Wozniak 001; Pawel Ksieniewicz; Boguslaw Cyganek; Andrzej Kasprzak; Krzysztof Walkowiak (ICCS, 2016)

Deep Neural Image Denoising. - Michal Koziarski; Boguslaw Cyganek (ICCVG, 2016)

Real-time framework for tensor-based image enhancement for object classification. - Boguslaw Cyganek; Bogdan Smolka (Real-Time Image and Video Processing, 2016)

Application of the local similarity filter for the suppression of multiplicative noise in medical ultrasound images. - Damian Kusnik; Bogdan Smolka; Boguslaw Cyganek (Real-Time Image and Video Processing, 2016)

A Survey of Big Data Issues in Electronic Health Record Analysis. - Boguslaw Cyganek; Manuel Graña; Bartosz Krawczyk; Andrzej Kasprzak; Piotr Porwik; Krzysztof Walkowiak; Michal Wozniak 001 (Appl. Artif. Intell., 2016)

Intelligent Methods Applied to Health-Care Information Systems. - Boguslaw Cyganek; Manuel Graña; Piotr Porwik; Michal Wozniak 001 (Appl. Artif. Intell., 2016)

Software framework for tensor stream processing on embedded vision platforms. - Boguslaw Cyganek (AVSS, 2017)

Real-Time Image Content Assessment for Underwater Robot Manoeuvring Based on Structural Tensor Analysis. - Jakub Nawala; Boguslaw Cyganek (CORES, 2017)

Efficient Real-Time Background Detection Based on the PCA Subspace Decomposition. - Boguslaw Cyganek; Michal Wozniak 001 (ICAISC (1), 2017)

Real-Time Vision Based System for Measurement of the Oxyacetylene Welding Parameters. - Boguslaw Cyganek; Maciej Basiura (ICCSA (1), 2017)

A Tensor Framework for Data Stream Clustering and Compression. - Boguslaw Cyganek; Michal Wozniak 001 (ICIAP (1), 2017)

Image and video processing with tensor methods. - Boguslaw Cyganek (SPA, 2017)

On Efficient Computation of Tensor Subspace Kernels for Multi-dimensional Data. - Boguslaw Cyganek; Michal Wozniak 001 (VISIGRAPP (5: VISAPP), 2017)

Image recognition with deep neural networks in presence of noise - Dealing with and taking advantage of distortions. - Michal Koziarski; Boguslaw Cyganek (Integr. Comput. Aided Eng., 2017)

Tensor-Based Shot Boundary Detection in Video Streams. - Boguslaw Cyganek; Michal Wozniak 001 (New Gener. Comput., 2017)

A learning-based colour image segmentation with extended and compact structural tensor feature representation. - Konrad Jackowski; Boguslaw Cyganek (Pattern Anal. Appl., 2017)

Selecting locally specialised classifiers for one-class classification ensembles. - Bartosz Krawczyk; Boguslaw Cyganek (Pattern Anal. Appl., 2017)

Change Detection in Multidimensional Data Streams with Efficient Tensor Subspace Model. - Boguslaw Cyganek (HAIS, 2018)

Marine Snow Removal Using a Fully Convolutional 3D Neural Network Combined with an Adaptive Median Filter. - Michal Koziarski; Boguslaw Cyganek (CVAUI/IWCF/MIPPSNA@ICPR, 2018)

Convolutional Neural Network-Based Classification of Histopathological Images Affected by Data Imbalance. - Michal Koziarski; Bogdan Kwolek; Boguslaw Cyganek (FFER/DLPR@ICPR, 2018)

Parallel Algorithms for Multidimensional Data Streams Analysis with Tensor Subspace Models. - Boguslaw Cyganek (HPCS, 2018)

Design of a Visual Front-End for Parallel Signal Processing on Underwater Search Drone. - Boguslaw Cyganek; Kazimierz Wiatr (ISPA/IUCC/BDCloud/SocialCom/SustainCom, 2018)

Modern Approaches to Multi-dimensional Visual Signals Analysis. - Boguslaw Cyganek (MISSI, 2018)

Impact of Low Resolution on Image Recognition with Deep Neural Networks: An Experimental Study. - Michal Koziarski; Boguslaw Cyganek (Int. J. Appl. Math. Comput. Sci., 2018)

Real-time marine snow noise removal from underwater video sequences. - Boguslaw Cyganek; Karol Gongola (J. Electronic Imaging, 2018)

Breast Cancer Classification on Histopathological Images Affected by Data Imbalance Using Active Learning and Deep Convolutional Neural Network. - Bogdan Kwolek; Michal Koziarski; Andrzej Bukala; Zbigniew Antosz; Boguslaw Olborski; Pawel Wasowicz; Jakub Swadzba; Boguslaw Cyganek (ICANN (Workshop), 2019)

The Impact of Distortions on the Image Recognition with Histograms of Oriented Gradients. - Andrzej Bukala; Michal Koziarski; Boguslaw Cyganek; Osman Nuri Koç; Alperen Kara (IP&C, 2019)

Overview of Tensor Methods for Multi-dimensional Signals Change Detection and Compression. - Boguslaw Cyganek (IP&C, 2019)

How orthogonal are we? A note on fast and accurate inner product computation in the floating-point arithmetic. - Boguslaw Cyganek; Kazimierz Wiatr (SA, 2019)

Evaluation of Deep Learning Strategies for Underwater Object Search. - Mateusz Knapik; Boguslaw Cyganek (SA, 2019)

Comparison of Sparse Image Descriptors for Eyes Detection in Thermal Images. - Mateusz Knapik; Boguslaw Cyganek (VISIGRAPP (5: VISAPP), 2019)

Driver's fatigue recognition based on yawn detection in thermal images. - Mateusz Knapik; Boguslaw Cyganek (Neurocomputing, 2019)

Data stream classification using active learned neural networks. - Pawel Ksieniewicz; Michal Wozniak 001; Boguslaw Cyganek; Andrzej Kasprzak; Krzysztof Walkowiak (Neurocomputing, 2019)

Thumbnail Tensor - A Method for Multidimensional Data Streams Clustering with an Efficient Tensor Subspace Model in the Scale-Space. - Boguslaw Cyganek (Sensors, 2019)

Speckle Noise Filtering in Side-Scan Sonar Images Based on the Tucker Tensor Decomposition. - Jakub Grabek; Boguslaw Cyganek (Sensors, 2019)

Privacy Preserving Real-Time Video Stream Change Detection Based on the Orthogonal Tensor Decomposition Models. - Boguslaw Cyganek (RCIS, 2020)

Classification of Histopathological Images using Scale-Invariant Feature Transform. - Andrzej Bukala; Boguslaw Cyganek; Michal Koziarski; Bogdan Kwolek; Boguslaw Olborski; Zbigniew Antosz; Jakub Swadzba; Piotr Sitkowski (VISIGRAPP (5: VISAPP), 2020)

The Choice of Feature Representation in Small-Scale MobileNet-Based Imbalanced Image Recognition. - Michal Koziarski; Boguslaw Cyganek; Kazimierz Wiatr (VISIGRAPP (4: VISAPP), 2020)

A Study on Pattern Recognition with the Histograms of Oriented Gradients in Distorted and Noisy Images. - Andrzej Bukala; Michal Koziarski; Boguslaw Cyganek; Osman Nuri Koç; Alperen Kara (J. Univers. Comput. Sci., 2020)

An impact of tensor-based data compression methods on deep neural network accuracy. - Jakub Grabek; Boguslaw Cyganek (FedCSIS (Position Papers), 2021)

DiagSet: a dataset for prostate cancer histopathological image classification. - Michal Koziarski; Boguslaw Cyganek; Boguslaw Olborski; Zbigniew Antosz; Marcin Zydak; Bogdan Kwolek; Pawel Wasowicz; Andrzej Bukala; Jakub Swadzba; Piotr Sitkowski (CoRR, 2021)

An ensemble deep learning method with optimized weights for drone-based water rescue and surveillance. - Jan Gasienica-Józkowy; Mateusz Knapik; Boguslaw Cyganek (Integr. Comput. Aided Eng., 2021)

Fast eyes detection in thermal images. - Mateusz Knapik; Boguslaw Cyganek (Multim. Tools Appl., 2021)

An LSTM Network for Apnea and Hypopnea Episodes Detection in Respiratory Signals. - Jakub Drzazga; Boguslaw Cyganek (Sensors, 2021)

IEEE BigData Cup 2022 Report Privacy-preserving Matching of Encrypted Images. - Marcin S. Szczuka; Andrzej Janusz; Boguslaw Cyganek; Jakub Grabek; Lukasz Przebinda; Andzelika Zalewska; Andrzej Bukala; Dominik Slezak (IEEE Big Data, 2022)

New Thermal Automotive Dataset for Object Detection. - Tomasz Balon; Mateusz Knapik; Boguslaw Cyganek (FedCSIS (Position Papers), 2022)

Modern C++ in the era of new technologies and challenges - why and how to teach modern C++? - Boguslaw Cyganek (FedCSIS, 2022)

Small Footprint Embedded Systems Paradigm Based on a Novel and Scalable Implementation of FORTH. - Boguslaw Cyganek (FedCSIS (Position Papers), 2022)

Real-Time Detection of Small Objects in Automotive Thermal Images with Modern Deep Neural Architectures. - Tomasz Balon; Mateusz Knapik; Boguslaw Cyganek (FedCSIS (Communication Papers), 2023)

Estimation of absolute distance and height of people based on monocular view and deep neural networks for edge devices operating in the visible and thermal spectra. - Jan Gasienica-Józkowy; Boguslaw Cyganek; Mateusz Knapik; Szymon Glogowski; Lukasz Przebinda (FedCSIS, 2023)

Highly compressed image representation for classification and content retrieval. - Stanislaw Lazewski; Boguslaw Cyganek (Integr. Comput. Aided Eng., 2024)

Deep Learning-Based Monocular Estimation of Distance and Height for Edge Devices. - Jan Gasienica-Józkowy; Boguslaw Cyganek; Mateusz Knapik; Szymon Glogowski; Lukasz Przebinda (Inf., 2024)

Privacy-preserving people detection in the wild. - Mateusz Knapik; Boguslaw Cyganek (Pattern Anal. Appl., 2025)