Michal Kawulok

Knowl. Based Syst., 2024

Squeezing adaptive deep learning methods with knowledge distillation for on-board cloud detection.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2024

Ensembling convolutional neural networks for human skin segmentation.

[BibT_eX]

[DOI]

Patryk Kuban

CoRR, 2024

Task-driven single-image super-resolution reconstruction of document scans.

[BibT_eX]

[DOI]

Maciej Zyrek

CoRR, 2024

Standardized validation of vehicle routing algorithms.

[BibT_eX]

[DOI]

Appl. Intell., 2024

Toward Task-Driven Satellite Image Super-Resolution.

[BibT_eX]

[DOI]

Proceedings of the IGARSS 2024, 2024

Multi-Image Fusion for Super-Resolving Individual Sentinel-2 Images.

[BibT_eX]

[DOI]

Bartlomiej Pogodzinski

Proceedings of the IGARSS 2024, 2024

Task-driven single-image super-resolution reconstruction of document scan.

[BibT_eX]

[DOI]

Maciej Zyrek

Proceedings of the 19th Conference on Computer Science and Intelligence Systems, 2024

2023

Multitemporal and Multispectral Data Fusion for Super-Resolution of Sentinel-2 Images.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2023

Squeezing nnU-Nets with Knowledge Distillation for On-Board Cloud Detection.

[BibT_eX]

[DOI]

CoRR, 2023

Transformer-based spectro-temporal fusion for Sentinel-2 super-resolution.

[BibT_eX]

[DOI]

Bartlomiej Pogodzinski

Proceedings of the 30th International Conference on Systems, Signals and Image Processing, 2023

Hyperspectral Image Pansharpening: The Prisma Case Study.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Cognition: Distributed Data Processing System for Lunar Activities.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Unbiased Validation of Hyperspectral Unmixing Algorithms.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Understanding the Value of Hyperspectral Image Super-Resolution from Prisma Data.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

A Sequential Approach for On-board Rock Detection from Lunar Images.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Perceptual Loss for Training Multi-Image Super-Resolution.

[BibT_eX]

[DOI]

Pawel Benecki

Daniel Kostrzewa

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Genetic Structural NAS: A Neural Network Architecture Search with Flexible Slot Connections.

[BibT_eX]

[DOI]

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Graph-Based Representation for Multi-image Super-Resolution.

[BibT_eX]

[DOI]

Proceedings of the Graph-Based Representations in Pattern Recognition, 2023

2022

A Multibranch Convolutional Neural Network for Hyperspectral Unmixing.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2022

Graph Neural Networks Extract High-Resolution Cultivated Land Maps From Sentinel-2 Image Series.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2022

Self-Configuring nnU-Nets Detect Clouds in Satellite Images.

[BibT_eX]

[DOI]

CoRR, 2022

MuS2: A Benchmark for Sentinel-2 Multi-Image Super-Resolution.

[BibT_eX]

[DOI]

CoRR, 2022

Data Augmentation for Multi-Image Super-Resolution.

[BibT_eX]

[DOI]

Maciej Ziaja

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Extracting High-Resolution Cultivated Land Maps from Sentinel-2 Image Series.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Semi-Simulated Training Data for Multi-Image Super-Resolution.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Are Cloud Detection U-Nets Robust Against in-Orbit Image Acquisition Conditions?

[BibT_eX]

[DOI]

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

The Hyperview Challenge: Estimating Soil Parameters from Hyperspectral Images.

[BibT_eX]

[DOI]

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Particle Swarm Optimization Configures the Route Minimization Algorithm.

[BibT_eX]

[DOI]

Proceedings of the Computational Science - ICCS 2022, 2022

Evolutionary algorithms meet classical and deep machine learning for skin detection in color images.

[BibT_eX]

[DOI]

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

A genetic algorithm for classifying metagenomic data.

[BibT_eX]

[DOI]

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

Cascades of evolutionary support vector machines.

[BibT_eX]

[DOI]

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

Fusing Deep Learning with Support Vector Machines to Detect COVID-19 in X-Ray Images.

[BibT_eX]

[DOI]

Proceedings of the Recent Challenges in Intelligent Information and Database Systems, 2022

Toward Understanding the Impact of Input Data for Multi-Image Super-Resolution.

[BibT_eX]

[DOI]

Jakub Adler

Proceedings of the Intelligent Information and Database Systems - 14th Asian Conference, 2022

2021

Deep Ensembles for Hyperspectral Image Data Classification and Unmixing.

[BibT_eX]

[DOI]

Remote. Sens., 2021

Towards On-Board Hyperspectral Satellite Image Segmentation: Understanding Robustness of Deep Learning through Simulating Acquisition Conditions.

[BibT_eX]

[DOI]

Remote. Sens., 2021

Unsupervised Feature Learning Using Recurrent Neural Nets for Segmenting Hyperspectral Images.

[BibT_eX]

[DOI]

Lukasz Tulczyjew

IEEE Geosci. Remote. Sens. Lett., 2021

Evolving data-adaptive support vector machines for binary classification.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2021

Deep Learning for Multiple-Image Super-Resolution of Sentinel-2 Data.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Towards Robust Cloud Detection in Satellite Images Using U-Nets.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

A Graph Neural Network For Multiple-Image Super-Resolution.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

2020

Transfer Learning for Segmenting Dimensionally Reduced Hyperspectral Images.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2020

Training- and Test-Time Data Augmentation for Hyperspectral Image Segmentation.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2020

Deep Learning for Multiple-Image Super-Resolution.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2020

Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors.

[BibT_eX]

[DOI]

Artif. Intell. Medicine, 2020

Multiple-Image Super-Resolution Using Deep Learning and Statistical Features.

[BibT_eX]

[DOI]

Krzysztof Hrynczenko

Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2020

Selecting Features from Time Series Using Attention-Based Recurrent Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2020

Hyperspectral Image Classification Using Spectral-Spatial Convolutional Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Evaluating Super-Resolution of Satellite Images: A Proba-V Case Study.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Memetic Evolution of Training Sets with Adaptive Radial Basis Kernels for Support Vector Machines.

[BibT_eX]

[DOI]

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Skinny: A Lightweight U-Net For Skin Detection And Segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Image Processing, 2020

Lightweight U-Nets for Brain Tumor Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020

Metagenomic Clustering in Search of Common Origin.

[BibT_eX]

[DOI]

Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020), 2020

2019

Validating Hyperspectral Image Segmentation.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2019

Data Augmentation for Brain-Tumor Segmentation: A Review.

[BibT_eX]

[DOI]

Frontiers Comput. Neurosci., 2019

Segmenting Hyperspectral Images Using Spectral-Spatial Convolutional Neural Networks With Training-Time Data Augmentation.

[BibT_eX]

[DOI]

CoRR, 2019

Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors.

[BibT_eX]

[DOI]

CoRR, 2019

Hyperspectral Data Augmentation.

[BibT_eX]

[DOI]

CoRR, 2019

Segmenting brain tumors from FLAIR MRI using fully convolutional neural networks.

[BibT_eX]

[DOI]

Comput. Methods Programs Biomed., 2019

Selecting training sets for support vector machines: a review.

[BibT_eX]

[DOI]

Artif. Intell. Rev., 2019

Segmentation of Multispectral Data Simulated from Hyperspectral Imagery.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

On Training Deep Networks for Satellite Image Super-Resolution.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Optimizing Training Data and Hyperparameters of Support Vector Machines Using a Memetic Algorithm.

[BibT_eX]

[DOI]

Proceedings of the Man-Machine Interactions 6, 2019

Data Augmentation via Image Registration.

[BibT_eX]

[DOI]

Pawel Wawrzyniak

Pawel Ulrych

Janusz Szymanek

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Evolutionarily-tuned support vector machines.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Memetic Evolution of Classification Ensembles.

[BibT_eX]

[DOI]

Szymon Piechaczek

Proceedings of the Applications of Evolutionary Computation, 2019

On Evolutionary Classification Ensembles.

[BibT_eX]

[DOI]

Aleksandra Kardas

Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Super-Resolution Reconstruction Using Deep Learning: Should We Go Deeper?

[BibT_eX]

[DOI]

Proceedings of the Beyond Databases, Architectures and Structures. Paving the Road to Smart Data Processing and Analysis, 2019

2018

Automated Optimization of Non-linear Support Vector Machines for Binary Classification.

[BibT_eX]

[DOI]

Proceedings of the Advances in Intelligent Networking and Collaborative Systems, 2018

Extracting Biomarkers from Dynamic Images - Approaches and Challenges.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods, 2018

Optimizing Super-resolution Reconstruction using a Genetic Algorithm.

[BibT_eX]

[DOI]

Proceedings of the 10th International Conference on Agents and Artificial Intelligence, 2018

Genetically-trained deep neural networks.

[BibT_eX]

[DOI]

Krzysztof Pawelczyk

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Evolving imaging model for super-resolution reconstruction.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Evolvable Deep Features.

[BibT_eX]

[DOI]

Grzegorz Mrukwa

Proceedings of the Applications of Evolutionary Computation, 2018

Towards Evolutionary Super-Resolution.

[BibT_eX]

[DOI]

Proceedings of the Applications of Evolutionary Computation, 2018

Environmental Metagenome Classification for Soil-based Forensic Analysis.

[BibT_eX]

[DOI]

Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018), 2018

Genetic Selection of Training Sets for (Not Only) Artificial Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Beyond Databases, Architectures and Structures. Facing the Challenges of Data Proliferation and Growing Variety, 2018

B4MultiSR: A Benchmark for Multiple-Image Super-Resolution Reconstruction.

[BibT_eX]

[DOI]

Proceedings of the Beyond Databases, Architectures and Structures. Facing the Challenges of Data Proliferation and Growing Variety, 2018

Towards Robust Evaluation of Super-Resolution Satellite Image Reconstruction.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Information and Database Systems - 10th Asian Conference, 2018

2017

An Alternating Genetic Algorithm for Selecting SVM Model and Training Set.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition - 9th Mexican Conference, 2017

Tuning and Evolving Support Vector Machine Models.

[BibT_eX]

[DOI]

Proceedings of the Man-Machine Interactions 5, 2017

Towards Detecting High-Uptake Lesions from Lung CT Scans Using Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the Image Analysis and Processing - ICIAP 2017, 2017

Particle swarm optimization for hyper-parameter selection in deep neural networks.

[BibT_eX]

[DOI]

Luciano Sánchez Ramos

José Ranilla Pastor

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Segmenting Lungs from Whole-Body CT Scans.

[BibT_eX]

[DOI]

Proceedings of the Beyond Databases, Architectures and Structures. Towards Efficient Solutions for Data Analysis and Knowledge Representation, 2017

2016

Hand landmarks detection and localization in color images.

[BibT_eX]

[DOI]

Tomasz Grzejszczak

Adam Galuszka

Multim. Tools Appl., 2016

Adaptive memetic algorithm enhanced with data geometry analysis to select training data for SVMs.

[BibT_eX]

[DOI]

Neurocomputing, 2016

Hybrid adaptation for detecting skin in color images.

[BibT_eX]

[DOI]

Intell. Data Anal., 2016

In Search of Truth: Analysis of Smile Intensity Dynamics to Detect Deception.

[BibT_eX]

[DOI]

Proceedings of the Advances in Artificial Intelligence - IBERAMIA 2016, 2016

The Smaller, the Better: Selecting Refined SVM Training Sets Using Adaptive Memetic Algorithm.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2016

Manifold Learning for Hand Pose Recognition: Evaluation Framework.

[BibT_eX]

[DOI]

Maciej Papiez

Proceedings of the Beyond Databases, Architectures and Structures. Advanced Technologies for Data Mining and Knowledge Discovery, 2016

2015

Adaptive memetic algorithm for the job shop scheduling problem.

[BibT_eX]

[DOI]

Marcin Cwiek

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Adaptive Vision Studio - Educational tool for image processing learning.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE Frontiers in Education Conference, 2015

Real-Time People Counting from Depth Images.

[BibT_eX]

[DOI]

Janusz Szymanek

Proceedings of the Beyond Databases, Architectures and Structures, 2015

Towards parameter-less support vector machines.

[BibT_eX]

[DOI]

Krzysztof Siminski

Proceedings of the 3rd IAPR Asian Conference on Pattern Recognition, 2015

Towards robust SVM training from weakly labeled large data sets.

[BibT_eX]

[DOI]

Proceedings of the 3rd IAPR Asian Conference on Pattern Recognition, 2015

2014

Spatial-based skin detection using discriminative skin-presence features.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2014

Self-adaptive algorithm for segmenting skin regions.

[BibT_eX]

[DOI]

EURASIP J. Adv. Signal Process., 2014

Real-Time Hand Shape Classification.

[BibT_eX]

[DOI]

CoRR, 2014

Gaze direction estimation from static images.

[BibT_eX]

[DOI]

Proceedings of the IEEE 16th International Workshop on Multimedia Signal Processing, 2014

Hand pose estimation using support vector machines with evolutionary training.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Systems, Signals and Image Processing, 2014

Head Pose Estimation Relying on Appearance-Based Nose Region Analysis.

[BibT_eX]

[DOI]

Krzysztof Pawelczyk

Proceedings of the Computer Vision and Graphics - International Conference, 2014

Dynamically Adaptive Genetic Algorithm to Select Training Data for SVMs.

[BibT_eX]

[DOI]

Proceedings of the Advances in Artificial Intelligence - IBERAMIA 2014, 2014

A memetic algorithm to select training data for support vector machines.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Adaptive Genetic Algorithm to Select Training Data for Support Vector Machines.

[BibT_eX]

[DOI]

Proceedings of the Applications of Evolutionary Computation - 17th European Conference, 2014

Self-Adaptive Skin Segmentation in Color Images.

[BibT_eX]

[DOI]

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2014

Fast and Accurate Hand Shape Classification.

[BibT_eX]

[DOI]

Proceedings of the Beyond Databases, Architectures, and Structures, 2014

2013

Parallel Hand Shape Classification.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE International Symposium on Multimedia, 2013

Wrist Localization in Color Images for Hand Gesture Recognition.

[BibT_eX]

[DOI]

Tomasz Grzejszczak

Proceedings of the Man-Machine Interactions 3, 2013

Skin detection using spatial analysis with adaptive seed.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Image Processing, 2013

Fast propagation-based skin regions segmentation in color images.

[BibT_eX]

[DOI]

Proceedings of the 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, 2013

Real-Time Wrist Localization in Hand Silhouettes.

[BibT_eX]

[DOI]

Tomasz Grzejszczak

Proceedings of the 8th International Conference on Computer Recognition Systems CORES 2013, 2013

2012

Discriminative Textural Features for Image and Video Colorization.

[BibT_eX]

[DOI]

IEICE Trans. Inf. Syst., 2012

Support Vector Machines Training Data Selection Using a Genetic Algorithm.

[BibT_eX]

[DOI]

Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2012

Texture Analysis for Skin Probability Maps Refinement.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition - 4th Mexican Conference, 2012

Skin Detection Using Color and Distance Transform.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision and Graphics - International Conference, 2012

2011

Textural Features for Scribble-Based Image Colorization.

[BibT_eX]

[DOI]

Proceedings of the Computer Recognition Systems 4, 2011

Supervised relevance maps for increasing the distinctiveness of facial images.

[BibT_eX]

[DOI]

Jing Wu

Edwin R. Hancock

Pattern Recognit., 2011

Texture-adaptive image colorization framework.

[BibT_eX]

[DOI]

EURASIP J. Adv. Signal Process., 2011

Image Colorization Using Discriminative Textural Features.

[BibT_eX]

[DOI]

Proceedings of the IAPR Conference on Machine Vision Applications (IAPR MVA 2011), 2011

2010

Energy-based blob analysis for improving precision of skin segmentation.

[BibT_eX]

[DOI]

Multim. Tools Appl., 2010

Competitive image colorization.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Image Processing, 2010

2009

Extracting gender discriminating features from facial needle-maps.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Image Processing, 2009

2008

Dynamic Skin Detection in Color Images for Sign Language Recognition.

[BibT_eX]

[DOI]

Proceedings of the Image and Signal Processing - 3rd International Conference, 2008

Optimization of Face Relevance Maps with Total Classification Error Minimization.

[BibT_eX]

[DOI]

Proceedings of the Image Analysis and Recognition, 5th International Conference, 2008

2004

Masks and Eigenvectors weights for Eigenfaces Method Improvement.

[BibT_eX]

[DOI]