Michal Kawulok

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 94

Top Venues

IGARSS

CoRR

BDAS

IEEE Geosci. Remote. Sens. Lett.

Publications

Wojciech Dudzik, Jakub Nalepa, Michal Kawulok
Ensembles of evolutionarily-constructed support vector machine cascades. Knowl. Based Syst. 288 (2024)
Tomasz Jastrzab, Michal Myller, Lukasz Tulczyjew, Miroslaw Blocho, Michal Kawulok, Adam Czornik, Jakub Nalepa
Standardized validation of vehicle routing algorithms. Appl. Intell. 54 (2) (2024)
Patryk Kuban, Michal Kawulok
Ensembling convolutional neural networks for human skin segmentation. CoRR (2024)
Bartosz Grabowski, Maciej Ziaja, Michal Kawulok, Piotr Bosowski, Nicolas Longépé, Bertrand Le Saux, Jakub Nalepa
Squeezing adaptive deep learning methods with knowledge distillation for on-board cloud detection. Eng. Appl. Artif. Intell. 132 (2024)
Maciej Zyrek, Michal Kawulok
Task-driven single-image super-resolution reconstruction of document scans. CoRR (2024)
Tomasz Tarasiewicz, Jakub Nalepa, Reuben A. Farrugia, Gianluca Valentino, Mang Chen, Johann A. Briffa, Michal Kawulok
Multitemporal and multispectral data fusion for super-resolution of Sentinel-2 images. CoRR (2023)
Pawel Benecki, Daniel Kostrzewa, Michal Kawulok
Perceptual Loss for Training Multi-Image Super-Resolution. IGARSS (2023)
Piotr Bosowski, Jakub Sadel, Marcin Cwiek, Tomasz Strzalka, Marek Wiejak, Pawel Benecki, Michal Kawulok
A Sequential Approach for On-board Rock Detection from Lunar Images. IGARSS (2023)
Tomasz Tarasiewicz, Jakub Nalepa, Reuben A. Farrugia, Gianluca Valentino, Mang Chen, Johann A. Briffa, Michal Kawulok
Multitemporal and Multispectral Data Fusion for Super-Resolution of Sentinel-2 Images. IEEE Trans. Geosci. Remote. Sens. 61 (2023)
Tomasz Tarasiewicz, Michal Kawulok
Graph-Based Representation for Multi-image Super-Resolution. GbRPR (2023)
Krzysztof Walas, Marcin Cwiek, Tomasz Strzalka, Marek Wiejak, Piotr Bosowski, Michal Kawulok, Mateusz Przeliorz, Dominik Pieczynski, Bartosz Ptak, Krzysztof Stezala, Michal Bidzinski, Marek Kraft
Cognition: Distributed Data Processing System for Lunar Activities. IGARSS (2023)
Bartosz Grabowski, Maciej Ziaja, Michal Kawulok, Piotr Bosowski, Nicolas Longépé, Bertrand Le Saux, Jakub Nalepa
Squeezing nnU-Nets with Knowledge Distillation for On-Board Cloud Detection. CoRR (2023)
Maciej Ziaja, Pawel Kowaleczko, Jakub Nalepa, Daniel Kostrzewa, Daniele Latini, Davide De Santis, Giorgia Salvucci, Ilaria Petracca, Valeria La Pegna, Fabio Del Frate, Michal Kawulok
Hyperspectral Image Pansharpening: The Prisma Case Study. IGARSS (2023)
Bartlomiej Pogodzinski, Tomasz Tarasiewicz, Michal Kawulok
Transformer-based spectro-temporal fusion for Sentinel-2 super-resolution. IWSSIP (2023)
Michal Kawulok, Pawel Kowaleczko, Maciej Ziaja, Jakub Nalepa, Daniel Kostrzewa, Daniele Latini, Davide De Santis, Giorgia Salvucci, Ilaria Petracca, Valeria La Pegna, Zoltan Bartalis, Fabio Del Frate
Understanding the Value of Hyperspectral Image Super-Resolution from Prisma Data. IGARSS (2023)
Jakub Sadel, Michal Kawulok, Mateusz Przeliorz, Jakub Nalepa, Daniel Kostrzewa
Genetic Structural NAS: A Neural Network Architecture Search with Flexible Slot Connections. GECCO Companion (2023)
Lukasz Tulczyjew, Michal Kawulok, Nicolas Longépé, Bertrand Le Saux, Jakub Nalepa
Unbiased Validation of Hyperspectral Unmixing Algorithms. IGARSS (2023)
Jakub Nalepa, Bertrand Le Saux, Nicolas Longépé, Lukasz Tulczyjew, Michal Myller, Michal Kawulok, Krzysztof Smykala, Michal Gumiela
The Hyperview Challenge: Estimating Soil Parameters from Hyperspectral Images. ICIP (2022)
Lukasz Tulczyjew, Michal Kawulok, Nicolas Longépé, Bertrand Le Saux, Jakub Nalepa
A Multibranch Convolutional Neural Network for Hyperspectral Unmixing. IEEE Geosci. Remote. Sens. Lett. 19 (2022)
Jakub Nalepa, Piotr Bosowski, Wojciech Dudzik, Michal Kawulok
Fusing Deep Learning with Support Vector Machines to Detect COVID-19 in X-Ray Images. ACIIDS (Companion) (2022)
Jolanta Kawulok, Michal Kawulok
A genetic algorithm for classifying metagenomic data. GECCO Companion (2022)
Bartosz Grabowski, Maciej Ziaja, Michal Kawulok, Nicolas Longépé, Bertrand Le Saux, Jakub Nalepa
Self-Configuring nnU-Nets Detect Clouds in Satellite Images. CoRR (2022)
Tomasz Tarasiewicz, Jakub Nalepa, Michal Kawulok
Semi-Simulated Training Data for Multi-Image Super-Resolution. IGARSS (2022)
Lukasz Tulczyjew, Michal Kawulok, Nicolas Longépé, Bertrand Le Saux, Jakub Nalepa
A Multibranch Convolutional Neural Network for Hyperspectral Unmixing. CoRR (2022)
Lukasz Tulczyjew, Michal Kawulok, Nicolas Longépé, Bertrand Le Saux, Jakub Nalepa
Graph Neural Networks Extract High-Resolution Cultivated Land Maps from Sentinel-2 Image Series. CoRR (2022)
Tomasz Tarasiewicz, Lukasz Tulczyjew, Michal Myller, Michal Kawulok, Nicolas Longépé, Jakub Nalepa
Extracting High-Resolution Cultivated Land Maps from Sentinel-2 Image Series. IGARSS (2022)
Pawel Kowaleczko, Tomasz Tarasiewicz, Maciej Ziaja, Daniel Kostrzewa, Jakub Nalepa, Przemyslaw Rokita, Michal Kawulok
MuS2: A Benchmark for Sentinel-2 Multi-Image Super-Resolution. CoRR (2022)
Jakub Adler, Jolanta Kawulok, Michal Kawulok
Toward Understanding the Impact of Input Data for Multi-Image Super-Resolution. ACIIDS (2) (2022)
Wojciech Dudzik, Jakub Nalepa, Michal Kawulok
Cascades of evolutionary support vector machines. GECCO Companion (2022)
Maciej Ziaja, Jakub Nalepa, Michal Kawulok
Data Augmentation for Multi-Image Super-Resolution. IGARSS (2022)
Tomasz Jastrzab, Michal Myller, Lukasz Tulczyjew, Miroslaw Blocho, Wojciech Ryczko, Michal Kawulok, Jakub Nalepa
Particle Swarm Optimization Configures the Route Minimization Algorithm. ICCS (1) (2022)
Jakub Nalepa, Stanislaw Czembor, Wojciech Dudzik, Michal Kawulok
Evolutionary algorithms meet classical and deep machine learning for skin detection in color images. GECCO Companion (2022)
Bartosz Grabowski, Maciej Ziaja, Michal Kawulok, Marcin Cwiek, Tomasz Lakota, Nicolas Longépé, Jakub Nalepa
Are Cloud Detection U-Nets Robust Against in-Orbit Image Acquisition Conditions? IGARSS (2022)
Lukasz Tulczyjew, Michal Kawulok, Nicolas Longépé, Bertrand Le Saux, Jakub Nalepa
Graph Neural Networks Extract High-Resolution Cultivated Land Maps From Sentinel-2 Image Series. IEEE Geosci. Remote. Sens. Lett. 19 (2022)
Bartosz Grabowski, Maciej Ziaja, Michal Kawulok, Jakub Nalepa
Towards Robust Cloud Detection in Satellite Images Using U-Nets. IGARSS (2021)
Wojciech Dudzik, Jakub Nalepa, Michal Kawulok
Evolving data-adaptive support vector machines for binary classification. Knowl. Based Syst. 227 (2021)
Lukasz Tulczyjew, Michal Kawulok, Jakub Nalepa
Unsupervised Feature Learning Using Recurrent Neural Nets for Segmenting Hyperspectral Images. IEEE Geosci. Remote. Sens. Lett. 18 (12) (2021)
Tomasz Tarasiewicz, Jakub Nalepa, Michal Kawulok
A Graph Neural Network For Multiple-Image Super-Resolution. ICIP (2021)
Jakub Nalepa, Michal Myller, Marcin Cwiek, Lukasz Zak, Tomasz Lakota, Lukasz Tulczyjew, Michal Kawulok
Towards On-Board Hyperspectral Satellite Image Segmentation: Understanding Robustness of Deep Learning through Simulating Acquisition Conditions. Remote. Sens. 13 (8) (2021)
Michal Kawulok, Tomasz Tarasiewicz, Jakub Nalepa, Diana Tyrna, Daniel Kostrzewa
Deep Learning for Multiple-Image Super-Resolution of Sentinel-2 Data. IGARSS (2021)
Jakub Nalepa, Michal Myller, Lukasz Tulczyjew, Michal Kawulok
Deep Ensembles for Hyperspectral Image Data Classification and Unmixing. Remote. Sens. 13 (20) (2021)
Jakub Nalepa, Michal Myller, Michal Kawulok
Training- and Test-Time Data Augmentation for Hyperspectral Image Segmentation. IEEE Geosci. Remote. Sens. Lett. 17 (2) (2020)
Michal Kawulok, Pawel Benecki, Jakub Nalepa, Daniel Kostrzewa
Evaluating Super-Resolution of Satellite Images: A Proba-V Case Study. IGARSS (2020)
Tomasz Tarasiewicz, Michal Kawulok, Jakub Nalepa
Lightweight U-Nets for Brain Tumor Segmentation. BrainLes@MICCAI (2) (2020)
Michal Myller, Michal Kawulok, Jakub Nalepa
Selecting Features from Time Series Using Attention-Based Recurrent Neural Networks. S+SSPR (2020)
Jakub Nalepa, Wojciech Dudzik, Michal Kawulok
Memetic Evolution of Training Sets with Adaptive Radial Basis Kernels for Support Vector Machines. ICPR (2020)
Michal Kawulok, Pawel Benecki, Szymon Piechaczek, Krzysztof Hrynczenko, Daniel Kostrzewa, Jakub Nalepa
Deep Learning for Multiple-Image Super-Resolution. IEEE Geosci. Remote. Sens. Lett. 17 (6) (2020)
Jakub Nalepa, Pablo Ribalta Lorenzo, Michal Marcinkiewicz, Barbara Bobek-Billewicz, Pawel Wawrzyniak, Maksym Walczak, Michal Kawulok, Wojciech Dudzik, Krzysztof Kotowski, Izabela Burda, Bartosz Machura, Grzegorz Mrukwa, Pawel Ulrych, Michael P. Hayball
Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors. Artif. Intell. Medicine 102 (2020)
Jakub Nalepa, Lukasz Tulczyjew, Michal Myller, Michal Kawulok
Hyperspectral Image Classification Using Spectral-Spatial Convolutional Neural Networks. IGARSS (2020)
Jakub Nalepa, Michal Myller, Michal Kawulok
Transfer Learning for Segmenting Dimensionally Reduced Hyperspectral Images. IEEE Geosci. Remote. Sens. Lett. 17 (7) (2020)
Jolanta Kawulok, Michal Kawulok
Metagenomic Clustering in Search of Common Origin. BIOINFORMATICS (2020)
Jakub Nalepa, Krzysztof Hrynczenko, Michal Kawulok
Multiple-Image Super-Resolution Using Deep Learning and Statistical Features. S+SSPR (2020)
Tomasz Tarasiewicz, Jakub Nalepa, Michal Kawulok
Skinny: A Lightweight U-Net For Skin Detection And Segmentation. ICIP (2020)
Michal Marcinkiewicz, Michal Kawulok, Jakub Nalepa
Segmentation of Multispectral Data Simulated from Hyperspectral Imagery. IGARSS (2019)
Jakub Nalepa, Michal Myller, Michal Kawulok
Validating Hyperspectral Image Segmentation. IEEE Geosci. Remote. Sens. Lett. 16 (8) (2019)
Michal Kawulok, Szymon Piechaczek, Krzysztof Hrynczenko, Pawel Benecki, Daniel Kostrzewa, Jakub Nalepa
On Training Deep Networks for Satellite Image Super-Resolution. IGARSS (2019)
Wojciech Dudzik, Michal Kawulok, Jakub Nalepa
Evolutionarily-tuned support vector machines. GECCO (Companion) (2019)
Jakub Nalepa, Michal Myller, Michal Kawulok
Hyperspectral Data Augmentation. CoRR (2019)
Jakub Nalepa, Marcin Cwiek, Wojciech Dudzik, Michal Kawulok, Michael P. Hayball, Grzegorz Mrukwa, Szymon Piechaczek, Pablo Ribalta Lorenzo, Michal Marcinkiewicz, Barbara Bobek-Billewicz, Pawel Wawrzyniak, Pawel Ulrych, Janusz Szymanek
Data Augmentation via Image Registration. ICIP (2019)
Aleksandra Kardas, Michal Kawulok, Jakub Nalepa
On Evolutionary Classification Ensembles. CEC (2019)
Jakub Nalepa, Michal Kawulok
Selecting training sets for support vector machines: a review. Artif. Intell. Rev. 52 (2) (2019)
Pablo Ribalta Lorenzo, Jakub Nalepa, Barbara Bobek-Billewicz, Pawel Wawrzyniak, Grzegorz Mrukwa, Michal Kawulok, Pawel Ulrych, Michael P. Hayball
Segmenting brain tumors from FLAIR MRI using fully convolutional neural networks. Comput. Methods Programs Biomed. 176 (2019)
Jakub Nalepa, Pablo Ribalta Lorenzo, Michal Marcinkiewicz, Barbara Bobek-Billewicz, Pawel Wawrzyniak, Maksym Walczak, Michal Kawulok, Wojciech Dudzik, Grzegorz Mrukwa, Pawel Ulrych, Michael P. Hayball
Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors. CoRR (2019)
Szymon Piechaczek, Michal Kawulok, Jakub Nalepa
Memetic Evolution of Classification Ensembles. EvoApplications (2019)
Jakub Nalepa, Michal Marcinkiewicz, Michal Kawulok
Data Augmentation for Brain-Tumor Segmentation: A Review. Frontiers Comput. Neurosci. 13 (2019)
Michal Kawulok, Pawel Benecki, Szymon Piechaczek, Krzysztof Hrynczenko, Daniel Kostrzewa, Jakub Nalepa
Deep Learning for Multiple-Image Super-Resolution. CoRR (2019)
Jakub Nalepa, Lukasz Tulczyjew, Michal Myller, Michal Kawulok
Segmenting Hyperspectral Images Using Spectral-Spatial Convolutional Neural Networks With Training-Time Data Augmentation. CoRR (2019)
Jakub Nalepa, Michal Myller, Michal Kawulok
Transfer Learning for Segmenting Dimensionally-Reduced Hyperspectral Images. CoRR (2019)
Michal Kawulok, Szymon Piechaczek, Krzysztof Hrynczenko, Pawel Benecki, Daniel Kostrzewa, Jakub Nalepa
On training deep networks for satellite image super-resolution. CoRR (2019)
Daniel Kostrzewa, Szymon Piechaczek, Krzysztof Hrynczenko, Pawel Benecki, Jakub Nalepa, Michal Kawulok
Super-Resolution Reconstruction Using Deep Learning: Should We Go Deeper? BDAS (2019)
Wojciech Dudzik, Michal Kawulok, Jakub Nalepa
Optimizing Training Data and Hyperparameters of Support Vector Machines Using a Memetic Algorithm. ICMMI (2019)
Michal Kawulok, Pawel Benecki, Jakub Nalepa, Daniel Kostrzewa, Lukasz Skonieczny
Towards Robust Evaluation of Super-Resolution Satellite Image Reconstruction. ACIIDS (1) (2018)
Wojciech Dudzik, Jakub Nalepa, Michal Kawulok
Automated Optimization of Non-linear Support Vector Machines for Binary Classification. INCoS (2018)
Jakub Nalepa, Michal Myller, Szymon Piechaczek, Krzysztof Hrynczenko, Michal Kawulok
Genetic Selection of Training Sets for (Not Only) Artificial Neural Networks. BDAS (2018)
Jakub Nalepa, Michal Myller, Michal Kawulok
Validating Hyperspectral Image Segmentation. CoRR (2018)
Krzysztof Pawelczyk, Michal Kawulok, Jakub Nalepa
Genetically-trained deep neural networks. GECCO (Companion) (2018)
Michal Kawulok, Pawel Benecki, Daniel Kostrzewa, Lukasz Skonieczny
Evolving imaging model for super-resolution reconstruction. GECCO (Companion) (2018)
Jakub Nalepa, Michael P. Hayball, Stephen J. Brown, Michal Kawulok, Janusz Szymanek
Extracting Biomarkers from Dynamic Images - Approaches and Challenges. ICPRAM (2018)
Michal Kawulok, Pawel Benecki, Daniel Kostrzewa, Lukasz Skonieczny
Towards Evolutionary Super-Resolution. EvoApplications (2018)
Jakub Nalepa, Grzegorz Mrukwa, Michal Kawulok
Evolvable Deep Features. EvoApplications (2018)
Jolanta Kawulok, Michal Kawulok
Environmental Metagenome Classification for Soil-based Forensic Analysis. BIOINFORMATICS (2018)
Michal Kawulok, Daniel Kostrzewa, Pawel Benecki, Lukasz Skonieczny
Optimizing Super-resolution Reconstruction using a Genetic Algorithm. ICAART (2) (2018)
Daniel Kostrzewa, Lukasz Skonieczny, Pawel Benecki, Michal Kawulok
B4MultiSR: A Benchmark for Multiple-Image Super-Resolution Reconstruction. BDAS (2018)
Maksym Walczak, Izabela Burda, Jakub Nalepa, Michal Kawulok
Segmenting Lungs from Whole-Body CT Scans. BDAS (2017)
Michal Kawulok, Jakub Nalepa, Wojciech Dudzik
An Alternating Genetic Algorithm for Selecting SVM Model and Training Set. MCPR (2017)
Pablo Ribalta Lorenzo, Jakub Nalepa, Michal Kawulok, Luciano Sánchez Ramos, José Ranilla Pastor
Particle swarm optimization for hyper-parameter selection in deep neural networks. GECCO (2017)
Jakub Nalepa, Michal Kawulok, Wojciech Dudzik
Tuning and Evolving Support Vector Machine Models. ICMMI (2017)
Krzysztof Pawelczyk, Michal Kawulok, Jakub Nalepa, Michael P. Hayball, Sarah J. McQuaid, Vineet Prakash, Balaji Ganeshan
Towards Detecting High-Uptake Lesions from Lung CT Scans Using Deep Learning. ICIAP (2) (2017)
Maciej Papiez, Michal Kawulok, Jakub Nalepa
Manifold Learning for Hand Pose Recognition: Evaluation Framework. BDAS (2016)
Jakub Nalepa, Michal Kawulok
Adaptive memetic algorithm enhanced with data geometry analysis to select training data for SVMs. Neurocomputing 185 (2016)
Jakub Nalepa, Michal Kawulok
The Smaller, the Better: Selecting Refined SVM Training Sets Using Adaptive Memetic Algorithm. GECCO (Companion) (2016)
Michal Kawulok, Jolanta Kawulok, Jakub Nalepa, Bogdan Smolka
Hybrid adaptation for detecting skin in color images. Intell. Data Anal. 20 (s1) (2016)
Michal Kawulok, Jakub Nalepa, Karolina Nurzynska, Bogdan Smolka
In Search of Truth: Analysis of Smile Intensity Dynamics to Detect Deception. IBERAMIA (2016)
Tomasz Grzejszczak, Michal Kawulok, Adam Galuszka
Hand landmarks detection and localization in color images. Multim. Tools Appl. 75 (23) (2016)
Michal Kawulok, Jakub Nalepa
Towards robust SVM training from weakly labeled large data sets. ACPR (2015)
Krystian Radlak, Mariusz Frackiewicz, Marek Szczepanski, Michal Kawulok, Michal Czardybon
Adaptive Vision Studio - Educational tool for image processing learning. FIE (2015)
Jakub Nalepa, Marcin Cwiek, Michal Kawulok
Adaptive memetic algorithm for the job shop scheduling problem. IJCNN (2015)
Jakub Nalepa, Krzysztof Siminski, Michal Kawulok
Towards parameter-less support vector machines. ACPR (2015)
Jakub Nalepa, Janusz Szymanek, Michal Kawulok
Real-Time People Counting from Depth Images. BDAS (2015)
Krzysztof Pawelczyk, Michal Kawulok
Head Pose Estimation Relying on Appearance-Based Nose Region Analysis. ICCVG (2014)

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Publication Activity (10 Years)

Top Topics

Top Venues

Michal Kawulok