Support Vector Machines Training Data Selection Using a Genetic Algorithm. - Michal Kawulok; Jakub Nalepa (SSPR/SPR, 2012)

Real-Time Wrist Localization in Hand Silhouettes. - Tomasz Grzejszczak; Jakub Nalepa; Michal Kawulok (CORES, 2013)

New Selection Schemes in a Memetic Algorithm for the Vehicle Routing Problem with Time Windows. - Jakub Nalepa; Zbigniew J. Czech (ICANNGA, 2013)

Skin detection using spatial analysis with adaptive seed. - Michal Kawulok; Jolanta Kawulok; Jakub Nalepa; Maciej Papiez (ICIP, 2013)

Wrist Localization in Color Images for Hand Gesture Recognition. - Jakub Nalepa; Tomasz Grzejszczak; Michal Kawulok (ICMMI, 2013)

Parallel Hand Shape Classification. - Jakub Nalepa; Michal Kawulok (ISM, 2013)

Co-operation Schemes for the Parallel Memetic Algorithm. - Jakub Nalepa; Miroslaw Blocho; Zbigniew J. Czech (PPAM (1), 2013)

Fast and Accurate Hand Shape Classification. - Jakub Nalepa; Michal Kawulok (BDAS, 2014)

Self-Adaptive Skin Segmentation in Color Images. - Michal Kawulok; Jolanta Kawulok; Jakub Nalepa; Bogdan Smolka (CIARP, 2014)

Adaptive Genetic Algorithm to Select Training Data for Support Vector Machines. - Jakub Nalepa; Michal Kawulok (EvoApplications, 2014)

A fast genetic algorithm for the flexible job shop scheduling problem. - Marcin Cwiek; Jakub Nalepa (GECCO (Companion), 2014)

Adaptive memetic algorithm for the vehicle routing problem with time windows. - Jakub Nalepa (GECCO (Companion), 2014)

A memetic algorithm to select training data for support vector machines. - Jakub Nalepa; Michal Kawulok (GECCO, 2014)

Dynamically Adaptive Genetic Algorithm to Select Training Data for SVMs. - Michal Kawulok; Jakub Nalepa (IBERAMIA, 2014)

Texture Analysis for Identifying Heterogeneity in Medical Images. - Jakub Nalepa; Janusz Szymanek; Michael P. Hayball; Stephen J. Brown; Balaji Ganeshan; Kenneth Miles (ICCVG, 2014)

Hand pose estimation using support vector machines with evolutionary training. - Michal Kawulok; Jakub Nalepa (IWSSIP, 2014)

A Parallel Memetic Algorithm to Solve the Vehicle Routing Problem with Time Windows. - Jakub Nalepa; Zbigniew J. Czech (CoRR, 2014)

Real-Time Hand Shape Classification. - Jakub Nalepa; Michal Kawulok (CoRR, 2014)

Self-adaptive algorithm for segmenting skin regions. - Michal Kawulok; Jolanta Kawulok; Jakub Nalepa; Bogdan Smolka (EURASIP J. Adv. Signal Process., 2014)

Spatial-based skin detection using discriminative skin-presence features. - Michal Kawulok; Jolanta Kawulok; Jakub Nalepa (Pattern Recognit. Lett., 2014)

A Parallel Algorithm with the Search Space Partition for the Pickup and Delivery with Time Windows. - Jakub Nalepa; Miroslaw Blocho (3PGCIC, 2015)

Towards robust SVM training from weakly labeled large data sets. - Michal Kawulok; Jakub Nalepa (ACPR, 2015)

Towards parameter-less support vector machines. - Jakub Nalepa; Krzysztof Siminski; Michal Kawulok (ACPR, 2015)

Impact of Parallel Memetic Algorithm Parameters on Its Efficacy. - Miroslaw Blocho; Jakub Nalepa (BDAS, 2015)

Real-Time People Counting from Depth Images. - Jakub Nalepa; Janusz Szymanek; Michal Kawulok (BDAS, 2015)

Adaptive memetic algorithm for the job shop scheduling problem. - Jakub Nalepa; Marcin Cwiek; Michal Kawulok (IJCNN, 2015)

A Parallel Algorithm for Minimizing the Fleet Size in the Pickup and Delivery Problem with Time Windows. - Miroslaw Blocho; Jakub Nalepa (EuroMPI, 2015)

Co-operation in the Parallel Memetic Algorithm. - Jakub Nalepa; Miroslaw Blocho (Int. J. Parallel Program., 2015)

Temporally Adaptive Co-operation Schemes. - Jakub Nalepa; Miroslaw Blocho (3PGCIC, 2016)

How to Generate Benchmarks for Rich Routing Problems? - Marcin Cwiek; Jakub Nalepa; Marcin Dublanski (ACIIDS (1), 2016)

Enhanced Guided Ejection Search for the Pickup and Delivery Problem with Time Windows. - Jakub Nalepa; Miroslaw Blocho (ACIIDS (1), 2016)

Manifold Learning for Hand Pose Recognition: Evaluation Framework. - Maciej Papiez; Michal Kawulok; Jakub Nalepa (BDAS, 2016)

Is Your Parallel Algorithm Correct? - Jakub Nalepa; Miroslaw Blocho (FedCSIS (Position Papers), 2016)

The Smaller, the Better: Selecting Refined SVM Training Sets Using Adaptive Memetic Algorithm. - Jakub Nalepa; Michal Kawulok (GECCO (Companion), 2016)

In Search of Truth: Analysis of Smile Intensity Dynamics to Detect Deception. - Michal Kawulok; Jakub Nalepa; Karolina Nurzynska; Bogdan Smolka (IBERAMIA, 2016)

Hybrid adaptation for detecting skin in color images. - Michal Kawulok; Jolanta Kawulok; Jakub Nalepa; Bogdan Smolka (Intell. Data Anal., 2016)

Adaptive memetic algorithm enhanced with data geometry analysis to select training data for SVMs. - Jakub Nalepa; Michal Kawulok (Neurocomputing, 2016)

Adaptive memetic algorithm for minimizing distance in the vehicle routing problem with time windows. - Jakub Nalepa; Miroslaw Blocho (Soft Comput., 2016)

Convergence Analysis of PSO for Hyper-Parameter Selection in Deep Neural Networks. - Jakub Nalepa; Pablo Ribalta Lorenzo (3PGCIC, 2017)

Spatial Planning as a Hexomino Puzzle. - Marcin Cwiek; Jakub Nalepa (ACIIDS (1), 2017)

Segmenting Lungs from Whole-Body CT Scans. - Maksym Walczak; Izabela Burda; Jakub Nalepa; Michal Kawulok (BDAS, 2017)

Hands-Free Research Workflow. - Pablo Ribalta Lorenzo; Jakub Nalepa; Luciano Sánchez Ramos; José Ranilla Pastor (EASE, 2017)

LCS-Based Selective Route Exchange Crossover for the Pickup and Delivery Problem with Time Windows. - Miroslaw Blocho; Jakub Nalepa (EvoCOP, 2017)

Particle swarm optimization for hyper-parameter selection in deep neural networks. - Pablo Ribalta Lorenzo; Jakub Nalepa; Michal Kawulok; Luciano Sánchez Ramos; José Ranilla Pastor (GECCO, 2017)

Hyper-parameter selection in deep neural networks using parallel particle swarm optimization. - Pablo Ribalta Lorenzo; Jakub Nalepa; Luciano Sánchez Ramos; José Ranilla Pastor (GECCO (Companion), 2017)

Towards Detecting High-Uptake Lesions from Lung CT Scans Using Deep Learning. - Krzysztof Pawelczyk; Michal Kawulok; Jakub Nalepa; Michael P. Hayball; Sarah J. McQuaid; Vineet Prakash; Balaji Ganeshan (ICIAP (2), 2017)

Complexity Analysis of the Parallel Memetic Algorithm for the Pickup and Delivery Problem with Time Windows. - Miroslaw Blocho; Jakub Nalepa (ICMMI, 2017)

Behind the Scenes of Deadline24: A Memetic Algorithm for the Modified Job Shop Scheduling Problem. - Jakub Nalepa; Marcin Cwiek; Lukasz Zak (ICMMI, 2017)

Tuning and Evolving Support Vector Machine Models. - Jakub Nalepa; Michal Kawulok; Wojciech Dudzik (ICMMI, 2017)

An Alternating Genetic Algorithm for Selecting SVM Model and Training Set. - Michal Kawulok; Jakub Nalepa; Wojciech Dudzik (MCPR, 2017)

A Parallel Memetic Algorithm for the Pickup and Delivery Problem with Time Windows. - Jakub Nalepa; Miroslaw Blocho (PDP, 2017)

Complexity Analysis of the Parallel Guided Ejection Search for the Pickup and Delivery Problem with Time Windows. - Miroslaw Blocho; Jakub Nalepa (CoRR, 2017)

Adaptive guided ejection search for pickup and delivery with time windows. - Jakub Nalepa; Miroslaw Blocho (J. Intell. Fuzzy Syst., 2017)

Towards Robust Evaluation of Super-Resolution Satellite Image Reconstruction. - Michal Kawulok; Pawel Benecki; Jakub Nalepa; Daniel Kostrzewa; Lukasz Skonieczny (ACIIDS (1), 2018)

Genetic Selection of Training Sets for (Not Only) Artificial Neural Networks. - Jakub Nalepa; Michal Myller; Szymon Piechaczek; Krzysztof Hrynczenko; Michal Kawulok (BDAS, 2018)

Segmentation of Hyperspectral Images Using Quantized Convolutional Neural Networks. - Pablo Ribalta Lorenzo; Michal Marcinkiewicz; Jakub Nalepa (DSD, 2018)

Evolvable Deep Features. - Jakub Nalepa; Grzegorz Mrukwa; Michal Kawulok (EvoApplications, 2018)

Memetic evolution of deep neural networks. - Pablo Ribalta Lorenzo; Jakub Nalepa (GECCO, 2018)

Parameter-less (meta)heuristics for vehicle routing problems. - Jakub Nalepa; Miroslaw Blocho (GECCO (Companion), 2018)

Genetically-trained deep neural networks. - Krzysztof Pawelczyk; Michal Kawulok; Jakub Nalepa (GECCO (Companion), 2018)

Extracting Biomarkers from Dynamic Images - Approaches and Challenges. - Jakub Nalepa; Michael P. Hayball; Stephen J. Brown; Michal Kawulok; Janusz Szymanek (ICPRAM, 2018)

Transferring Information Across Medical Images of Different Modalities. - Jakub Nalepa; Piotr Mokry; Janusz Szymanek; Michael P. Hayball (ICPRAM, 2018)

Automated Optimization of Non-linear Support Vector Machines for Binary Classification. - Wojciech Dudzik; Jakub Nalepa; Michal Kawulok (INCoS, 2018)

Multi-scale Voting Classifiers for Breast-Cancer Histology Images. - Jakub Nalepa; Szymon Piechaczek; Michal Myller; Krzysztof Hrynczenko (INCoS, 2018)

Segmenting Brain Tumors from MRI Using Cascaded Multi-modal U-Nets. - Michal Marcinkiewicz; Jakub Nalepa; Pablo Ribalta Lorenzo; Wojciech Dudzik; Grzegorz Mrukwa (BrainLes@MICCAI (2), 2018)

Band Selection from Hyperspectral Images Using Attention-based Convolutional Neural Networks. - Pablo Ribalta Lorenzo; Lukasz Tulczyjew; Michal Marcinkiewicz; Jakub Nalepa (CoRR, 2018)

Adaptive cooperation in parallel memetic algorithms for rich vehicle routing problems. - Jakub Nalepa; Miroslaw Blocho (Int. J. Grid Util. Comput., 2018)

Super-Resolution Reconstruction Using Deep Learning: Should We Go Deeper? - Daniel Kostrzewa; Szymon Piechaczek; Krzysztof Hrynczenko; Pawel Benecki; Jakub Nalepa; Michal Kawulok (BDAS, 2019)

Detection and Segmentation of Brain Tumors from MRI Using U-Nets. - Krzysztof Kotowski; Jakub Nalepa; Wojciech Dudzik (BrainLes@MICCAI (2), 2019)

Multi-modal U-Nets with Boundary Loss and Pre-training for Brain Tumor Segmentation. - Pablo Ribalta Lorenzo; Michal Marcinkiewicz; Jakub Nalepa (BrainLes@MICCAI (2), 2019)

On Evolutionary Classification Ensembles. - Aleksandra Kardas; Michal Kawulok; Jakub Nalepa (CEC, 2019)

Memetic Evolution of Classification Ensembles. - Szymon Piechaczek; Michal Kawulok; Jakub Nalepa (EvoApplications, 2019)

Evolutionarily-tuned support vector machines. - Wojciech Dudzik; Michal Kawulok; Jakub Nalepa (GECCO (Companion), 2019)

Data Augmentation via Image Registration. - 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; et al. (ICIP, 2019)

Optimizing Training Data and Hyperparameters of Support Vector Machines Using a Memetic Algorithm. - Wojciech Dudzik; Michal Kawulok; Jakub Nalepa (ICMMI, 2019)

On Training Deep Networks for Satellite Image Super-Resolution. - Michal Kawulok; Szymon Piechaczek; Krzysztof Hrynczenko; Pawel Benecki; Daniel Kostrzewa; Jakub Nalepa (IGARSS, 2019)

Segmentation of Multispectral Data Simulated from Hyperspectral Imagery. - Michal Marcinkiewicz; Michal Kawulok; Jakub Nalepa (IGARSS, 2019)

Selecting training sets for support vector machines: a review. - Jakub Nalepa; Michal Kawulok (Artif. Intell. Rev., 2019)

Segmenting brain tumors from FLAIR MRI using fully convolutional neural networks. - Pablo Ribalta Lorenzo; Jakub Nalepa; Barbara Bobek-Billewicz; Pawel Wawrzyniak; Grzegorz Mrukwa; Michal Kawulok; Pawel Ulrych; Michael P. Hayball (Comput. Methods Programs Biomed., 2019)

Hyperspectral Data Augmentation. - Jakub Nalepa; Michal Myller; Michal Kawulok (CoRR, 2019)

Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors. - 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 (CoRR, 2019)

Unsupervised Segmentation of Hyperspectral Images Using 3D Convolutional Autoencoders. - Jakub Nalepa; Michal Myller; Yasuteru Imai; Ken-ichi Honda; Tomomi Takeda; Marek Antoniak (CoRR, 2019)

Segmenting Hyperspectral Images Using Spectral-Spatial Convolutional Neural Networks With Training-Time Data Augmentation. - Jakub Nalepa; Lukasz Tulczyjew; Michal Myller; Michal Kawulok (CoRR, 2019)

Data Augmentation for Brain-Tumor Segmentation: A Review. - Jakub Nalepa; Michal Marcinkiewicz; Michal Kawulok (Frontiers Comput. Neurosci., 2019)

Validating Hyperspectral Image Segmentation. - Jakub Nalepa; Michal Myller; Michal Kawulok (IEEE Geosci. Remote. Sens. Lett., 2019)

Segmenting Brain Tumors from MRI Using Cascaded 3D U-Nets. - Krzysztof Kotowski; Szymon Adamski; Wojciech Malara; Bartosz Machura; Lukasz Zarudzki; Jakub Nalepa (BrainLes@MICCAI (2), 2020)

Lightweight U-Nets for Brain Tumor Segmentation. - Tomasz Tarasiewicz; Michal Kawulok; Jakub Nalepa (BrainLes@MICCAI (2), 2020)

Skinny: A Lightweight U-Net For Skin Detection And Segmentation. - Tomasz Tarasiewicz; Jakub Nalepa; Michal Kawulok (ICIP, 2020)

Memetic Evolution of Training Sets with Adaptive Radial Basis Kernels for Support Vector Machines. - Jakub Nalepa; Wojciech Dudzik; Michal Kawulok (ICPR, 2020)

Evaluating Super-Resolution of Satellite Images: A Proba-V Case Study. - Michal Kawulok; Pawel Benecki; Jakub Nalepa; Daniel Kostrzewa (IGARSS, 2020)

Segmenting Hyperspectral Images Using Spectral Convolutional Neural Networks in the Presence of Noise. - Jakub Nalepa; Marek Stanek (IGARSS, 2020)

Hyperspectral Image Classification Using Spectral-Spatial Convolutional Neural Networks. - Jakub Nalepa; Lukasz Tulczyjew; Michal Myller; Michal Kawulok (IGARSS, 2020)

Selecting Features from Time Series Using Attention-Based Recurrent Neural Networks. - Michal Myller; Michal Kawulok; Jakub Nalepa (S+SSPR, 2020)

Multiple-Image Super-Resolution Using Deep Learning and Statistical Features. - Jakub Nalepa; Krzysztof Hrynczenko; Michal Kawulok (S+SSPR, 2020)

Hyperspectral Band Selection Using Attention-Based Convolutional Neural Networks. - Pablo Ribalta Lorenzo; Lukasz Tulczyjew; Michal Marcinkiewicz; Jakub Nalepa (IEEE Access, 2020)

Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors. - 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; et al. (Artif. Intell. Medicine, 2020)

Deep Learning for Multiple-Image Super-Resolution. - Michal Kawulok; Pawel Benecki; Szymon Piechaczek; Krzysztof Hrynczenko; Daniel Kostrzewa; Jakub Nalepa (IEEE Geosci. Remote. Sens. Lett., 2020)

Unsupervised Segmentation of Hyperspectral Images Using 3-D Convolutional Autoencoders. - Jakub Nalepa; Michal Myller; Yasuteru Imai; Ken-ichi Honda; Tomomi Takeda; Marek Antoniak (IEEE Geosci. Remote. Sens. Lett., 2020)

Training- and Test-Time Data Augmentation for Hyperspectral Image Segmentation. - Jakub Nalepa; Michal Myller; Michal Kawulok (IEEE Geosci. Remote. Sens. Lett., 2020)

Transfer Learning for Segmenting Dimensionally Reduced Hyperspectral Images. - Jakub Nalepa; Michal Myller; Michal Kawulok (IEEE Geosci. Remote. Sens. Lett., 2020)

Towards resource-frugal deep convolutional neural networks for hyperspectral image segmentation. - Jakub Nalepa; Marek Antoniak; Michal Myller; Pablo Ribalta Lorenzo; Michal Marcinkiewicz (Microprocess. Microsystems, 2020)

Coupling nnU-Nets with Expert Knowledge for Accurate Brain Tumor Segmentation from MRI. - Krzysztof Kotowski; Szymon Adamski; Bartosz Machura; Lukasz Zarudzki; Jakub Nalepa (BrainLes@MICCAI (2), 2021)

Detecting anomalies in spacecraft telemetry using evolutionary thresholding and LSTMs. - Pawel Benecki; Szymon Piechaczek; Daniel Kostrzewa; Jakub Nalepa (GECCO Companion, 2021)

Evolving Deep Ensembles For Detecting Covid-19 In Chest X-Rays. - Piotr Bosowski; Joanna Bosowska; Jakub Nalepa (ICIP, 2021)

A Graph Neural Network For Multiple-Image Super-Resolution. - Tomasz Tarasiewicz; Jakub Nalepa; Michal Kawulok (ICIP, 2021)

Towards Robust Cloud Detection in Satellite Images Using U-Nets. - Bartosz Grabowski; Maciej Ziaja; Michal Kawulok; Jakub Nalepa (IGARSS, 2021)

Deep Learning for Multiple-Image Super-Resolution of Sentinel-2 Data. - Michal Kawulok; Tomasz Tarasiewicz; Jakub Nalepa; Diana Tyrna; Daniel Kostrzewa (IGARSS, 2021)

Investigating the Impact of the Training Set Size on Deep Learning-Powered Hyperspectral Unmixing. - Lukasz Tulczyjew; Jakub Nalepa (IGARSS, 2021)

Evolving data-adaptive support vector machines for binary classification. - Wojciech Dudzik; Jakub Nalepa; Michal Kawulok (Knowl. Based Syst., 2021)

Unsupervised Feature Learning Using Recurrent Neural Nets for Segmenting Hyperspectral Images. - Lukasz Tulczyjew; Michal Kawulok; Jakub Nalepa (IEEE Geosci. Remote. Sens. Lett., 2021)

Towards On-Board Hyperspectral Satellite Image Segmentation: Understanding Robustness of Deep Learning through Simulating Acquisition Conditions. - Jakub Nalepa; Michal Myller; Marcin Cwiek; Lukasz Zak; Tomasz Lakota; Lukasz Tulczyjew; Michal Kawulok (Remote. Sens., 2021)

Deep Ensembles for Hyperspectral Image Data Classification and Unmixing. - Jakub Nalepa; Michal Myller; Lukasz Tulczyjew; Michal Kawulok (Remote. Sens., 2021)

Benchmarking Deep Learning for On-Board Space Applications. - Maciej Ziaja; Piotr Bosowski; Michal Myller; Grzegorz Gajoch; Michal Gumiela; Jennifer Protich; Katherine Borda; Dhivya Jayaraman; Renata Dividino; Jakub Nalepa (Remote. Sens., 2021)

Recent Advances in Multi- and Hyperspectral Image Analysis. - Jakub Nalepa (Sensors, 2021)

Fusing Deep Learning with Support Vector Machines to Detect COVID-19 in X-Ray Images. - Jakub Nalepa; Piotr Bosowski; Wojciech Dudzik; Michal Kawulok (ACIIDS (Companion), 2022)

Federated Evaluation of nnU-Nets Enhanced with Domain Knowledge for Brain Tumor Segmentation. - Krzysztof Kotowski; Szymon Adamski; Bartosz Machura; Wojciech Malara; Lukasz Zarudzki; Jakub Nalepa (BrainLes@MICCAI (2), 2022)

Infusing Domain Knowledge into nnU-Nets for Segmenting Brain Tumors in MRI. - Krzysztof Kotowski; Szymon Adamski; Bartosz Machura; Lukasz Zarudzki; Jakub Nalepa (BrainLes@MICCAI, 2022)

Robustifying Automatic Assessment of Brain Tumor Progression from MRI. - Krzysztof Kotowski; Bartosz Machura; Jakub Nalepa (BrainLes@MICCAI, 2022)

Cooperative co-evolutionary memetic algorithm for pickup and delivery problem with time windows. - Miroslaw Blocho; Tomasz Jastrzab; Jakub Nalepa (GECCO Companion, 2022)

Cascades of evolutionary support vector machines. - Wojciech Dudzik; Jakub Nalepa; Michal Kawulok (GECCO Companion, 2022)

Evolutionary algorithms meet classical and deep machine learning for skin detection in color images. - Jakub Nalepa; Stanislaw Czembor; Wojciech Dudzik; Michal Kawulok (GECCO Companion, 2022)

Particle Swarm Optimization Configures the Route Minimization Algorithm. - Tomasz Jastrzab; Michal Myller; Lukasz Tulczyjew; Miroslaw Blocho; Wojciech Ryczko; Michal Kawulok; Jakub Nalepa (ICCS (1), 2022)

The Hyperview Challenge: Estimating Soil Parameters from Hyperspectral Images. - Jakub Nalepa; Bertrand Le Saux; Nicolas Longépé; Lukasz Tulczyjew; Michal Myller; Michal Kawulok; Krzysztof Smykala; Michal Gumiela (ICIP, 2022)

Deep Learning Meets Radiomics For End-To-End Brain Tumor MRI Analysis. - Wojciech Ponikiewski; Jakub Nalepa (ICIP, 2022)

Unbiased Validation of the Algorithms for Automatic Needle Localization in Ultrasound-Guided Breast Biopsies. - Agata M. Wijata; Jakub Nalepa (ICIP, 2022)

Are Cloud Detection U-Nets Robust Against in-Orbit Image Acquisition Conditions? - Bartosz Grabowski; Maciej Ziaja; Michal Kawulok; Marcin Cwiek; Tomasz Lakota; Nicolas Longépé; Jakub Nalepa (IGARSS, 2022)

Semi-Simulated Training Data for Multi-Image Super-Resolution. - Tomasz Tarasiewicz; Jakub Nalepa; Michal Kawulok (IGARSS, 2022)

Extracting High-Resolution Cultivated Land Maps from Sentinel-2 Image Series. - Tomasz Tarasiewicz; Lukasz Tulczyjew; Michal Myller; Michal Kawulok; Nicolas Longépé; Jakub Nalepa (IGARSS, 2022)

Data Augmentation for Multi-Image Super-Resolution. - Maciej Ziaja; Jakub Nalepa; Michal Kawulok (IGARSS, 2022)

Deep Learning Meets Computational Fluid Dynamics to Assess CAD in CCTA. - Filip Malawski; Jaroslaw Goslinski; Mikolaj Stryja; Katarzyna Jesionek; Marcin Kostur; Karol Miszalski-Jamka; Jakub Nalepa (AMAI@MICCAI, 2022)

Segmenting pediatric optic pathway gliomas from MRI using deep learning. - Jakub Nalepa; Szymon Adamski; Krzysztof Kotowski; Sylwia Chelstowska; Magdalena Machnikowska-Sokolowska; Oskar Bozek; Agata Wisz; Elzbieta Jurkiewicz (Comput. Biol. Medicine, 2022)

MuS2: A Benchmark for Sentinel-2 Multi-Image Super-Resolution. - Pawel Kowaleczko; Tomasz Tarasiewicz; Maciej Ziaja; Daniel Kostrzewa; Jakub Nalepa; Przemyslaw Rokita; Michal Kawulok (CoRR, 2022)

Self-Configuring nnU-Nets Detect Clouds in Satellite Images. - Bartosz Grabowski; Maciej Ziaja; Michal Kawulok; Nicolas Longépé; Bertrand Le Saux; Jakub Nalepa (CoRR, 2022)

Graph Neural Networks Extract High-Resolution Cultivated Land Maps From Sentinel-2 Image Series. - Lukasz Tulczyjew; Michal Kawulok; Nicolas Longépé; Bertrand Le Saux; Jakub Nalepa (IEEE Geosci. Remote. Sens. Lett., 2022)

A Multibranch Convolutional Neural Network for Hyperspectral Unmixing. - Lukasz Tulczyjew; Michal Kawulok; Nicolas Longépé; Bertrand Le Saux; Jakub Nalepa (IEEE Geosci. Remote. Sens. Lett., 2022)

Unbiasing the Estimation of Chlorophyll from Hyperspectral Images: A Benchmark Dataset, Validation Procedure and Baseline Results. - Bogdan Ruszczak; Agata M. Wijata; Jakub Nalepa (Remote. Sens., 2022)

First Gradually, Then Suddenly: Understanding the Impact of Image Compression on Object Detection Using Deep Learning. - Tomasz Gandor; Jakub Nalepa (Sensors, 2022)

Parallel Cooperative Memetic Co-evolution for VRPTW. - Miroslaw Blocho; Tomasz Jastrzab; Jakub Nalepa (GECCO Companion, 2023)

Genetic Structural NAS: A Neural Network Architecture Search with Flexible Slot Connections. - Jakub Sadel; Michal Kawulok; Mateusz Przeliorz; Jakub Nalepa; Daniel Kostrzewa (GECCO Companion, 2023)

On the Impact of Noisy Labels on Supervised Classification Models. - Rafal Dubel; Agata M. Wijata; Jakub Nalepa (ICCS (2), 2023)

Machine Learning Detects Anomalies in OPS-SAT Telemetry. - Bogdan Ruszczak; Krzysztof Kotowski; Jacek Andrzejewski; Alicja Musial; David Evans; Vladimir Zelenevskiy; Sam Bammens; Rodrigo Laurinovics; Jakub Nalepa (ICCS (1), 2023)

Estimating Chlorophyll Content from Hyperspectral Data Using Gradient Features. - Bogdan Ruszczak; Agata M. Wijata; Jakub Nalepa (ICCS (2), 2023)

Deep Learning Meets Particle Swarm Optimization For Aortic Valve Calcium Scoring From Cardiac Computed Tomography. - Jaroslaw Goslinski; Filip Malawski; Mariusz Bujny; Marcin Kostur; Karol Miszalski-Jamka; Jakub Nalepa (ICIP, 2023)

Machine Learning Detects a Biopsy Needle in Ultrasound Images. - Agata M. Wijata; Jakub Nalepa (ICIP, 2023)

Knowledge Distillation for Memory-Efficient On-Board Image Classification of Mars Imagery. - Piotr Bosowski; Nicolas Longépé; Bertrand Le Saux; Jakub Nalepa (IGARSS, 2023)

Benchmarking Space-Based Data Center Architectures. - Michal Gumiela; Alicja Musial; Agata M. Wijata; Dawid Lazaj; Jonas Weiss; Patricia Sagmeister; Thomas Morf; Martin L. Schmatz; Jakub Nalepa (IGARSS, 2023)

Understanding the Value of Hyperspectral Image Super-Resolution from Prisma Data. - 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 (IGARSS, 2023)

Optimizing Kernel-Target Alignment for Cloud Detection in Multispectral Satellite Images. - Artur Miroszewski; Jakub Mielczarek; Filip Szczepanek; Grzegorz Czelusta; Bartosz Grabowski; Bertrand Le Saux; Jakub Nalepa (IGARSS, 2023)

Cloud Detection in Multispectral Satellite Images Using Support Vector Machines with Quantum Kernels. - Artur Miroszewski; Jakub Mielczarek; Filip Szczepanek; Grzegorz Czelusta; Bartosz Grabowski; Bertrand Le Saux; Jakub Nalepa (IGARSS, 2023)

Unbiased Validation of Hyperspectral Unmixing Algorithms. - Lukasz Tulczyjew; Michal Kawulok; Nicolas Longépé; Bertrand Le Saux; Jakub Nalepa (IGARSS, 2023)

Toward On-Board Methane Detection in Hyperspectral Images. - Agata M. Wijata; Michel-François Foulon; Yves Bobichon; Nicolas Longépé; Roberto Camarero; Raffaele Vitulli; Marco Celesti; Gianluigi Di Cosimo; Ferran Gascon; Jens Nieke; Jakub Nalepa (IGARSS, 2023)

Hyperspectral Image Pansharpening: The Prisma Case Study. - 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 (IGARSS, 2023)

Detecting liver cirrhosis in computed tomography scans using clinically-inspired and radiomic features. - Krzysztof Kotowski; Damian Kucharski; Bartosz Machura; Szymon Adamski; Benjamín Gutiérrez-Becker; Agata Krason; Lukasz Zarudzki; Jean Tessier; Jakub Nalepa (Comput. Biol. Medicine, 2023)

On the Importance of Sign Labeling: The Hamburg Sign Language Notation System Case Study. - Maria Ferlin; Sylwia Majchrowska; Marta A. Plantykow; Alicja Kwasniwska; Agnieszka Mikolajczyk-Barela; Milena Olech; Jakub Nalepa (CoRR, 2023)

Squeezing nnU-Nets with Knowledge Distillation for On-Board Cloud Detection. - Bartosz Grabowski; Maciej Ziaja; Michal Kawulok; Piotr Bosowski; Nicolas Longépé; Bertrand Le Saux; Jakub Nalepa (CoRR, 2023)

Quantum Machine Learning for Remote Sensing: Exploring potential and challenges. - Artur Miroszewski; Jakub Nalepa; Bertrand Le Saux; Jakub Mielczarek (CoRR, 2023)

Detecting Clouds in Multispectral Satellite Images Using Quantum-Kernel Support Vector Machines. - Artur Miroszewski; Jakub Mielczarek; Grzegorz Czelusta; Filip Szczepanek; Bartosz Grabowski; Bertrand Le Saux; Jakub Nalepa (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

Multitemporal and Multispectral Data Fusion for Super-Resolution of Sentinel-2 Images. - Tomasz Tarasiewicz; Jakub Nalepa; Reuben A. Farrugia; Gianluca Valentino; Mang Chen; Johann A. Briffa; Michal Kawulok (IEEE Trans. Geosci. Remote. Sens., 2023)

Deep learning automates bidimensional and volumetric tumor burden measurement from MRI in pre- and post-operative glioblastoma patients. - Jakub Nalepa; Krzysztof Kotowski; Bartosz Machura; Szymon Adamski; Oskar Bozek; Bartosz Eksner; Bartosz Kokoszka; Tomasz Pekala; Mateusz Radom; Marek Strzelczak; Lukasz Zarudzki; Agata Krason; et al. (Comput. Biol. Medicine, 2023)

Data from: Coronary artery segmentation in non-contrast calcium scoring CT images using deep learning. - Mariusz Bujny; Katarzyna Jesionek; Jakub Nalepa; Karol Miszalski-Jamka; Katarzyna Widawka-Zak; Sabina Wolny; Marcin Kostur (Zenodo, 2023)

OXI: An online tool for visualization and annotation of satellite time series data. - Bogdan Ruszczak; Krzysztof Kotowski; Jacek Andrzejewski; Christoph Haskamp; Jakub Nalepa (SoftwareX, 2023)

Particle Swarm Optimization Meets Deep Learning for Estimating Root-Zone Soil Moisture from Hyperspectral Images. - Bogdan Ruszczak; Michal Myller; Lukasz Tulczyjew; Agata Wijata; Jakub Nalepa (GECCO Companion, 2024)

CANNIBAL Unveils the Hidden Gems: Hyperspectral Band Selection via Clustering of Weighted Variable Interaction Graphs. - Lukasz Tulczyjew; Michal Przewozniczek; Renato Tinós; Agata M. Wijata; Jakub Nalepa (GECCO, 2024)

Selecting Image Features for Biopsy Needle Detection in Ultrasound Images Using Genetic Algorithms. - Agata M. Wijata; Bartlomiej Pycinski; Jakub Nalepa (GECCO Companion, 2024)

Giraffe: A Genetic Programming Algorithm To Build Deep Learning Ensembles For Ecg Arrhythmia Classification. - Damian Kucharski; Agata M. Wijata; Lu Fu; Weidong Lin; Yumei Xue; Jacek Kawa; Yalin Zheng; Gregory Yoke Hong Lip; Jakub Nalepa (ICIP, 2024)

A Needle In A (Medical) Haystack: Detecting A Biopsy Needle In Ultrasound Images Using Vision Transformers. - Agata M. Wijata; Bartlomiej Pycinski; Jakub Nalepa (ICIP, 2024)

Predicting the MGMT Promoter Methylation Status in T2-FLAIR Magnetic Resonance Imaging Scans Using Machine Learning. - Martyna Kurbiel; Agata M. Wijata; Jakub Nalepa (ICPRAM, 2024)

Estimating Soil Parameters from Hyperspectral Imagesusing Ensembles of Classic and Deep Machine Learning Models. - Wiktor Gacek; Lukasz Tulczyjew; Agata M. Wijata; Nicolas Longépé; Bertrand Le Saux; Jakub Nalepa (IGARSS, 2024)

Soil Analysis with Very Few Labels Using Semi-Supervised Hyperspectral Image Classification. - Bartosz Grabowski; Agata M. Wijata; Lukasz Tulczyjew; Bertrand Le Saux; Jakub Nalepa (IGARSS, 2024)

Utility of Quantum Kernel Machines in Remote Sensing Applications. - Artur Miroszewski; Bertrand Le Saux; Nicolas Longépé; Jakub Nalepa (IGARSS, 2024)

Intuition-1: Toward In-Orbit Bare Soil Detection Using Spectral Vegetation Indices. - Agata M. Wijata; Tomasz Lakota; Marcin Cwiek; Bogdan Ruszczak; Michal Gumiela; Lukasz Tulczyjew; Andrzej Bartoszek; Nicolas Longépé; Krzysztof Smykala; Jakub Nalepa (IGARSS, 2024)

Designing (Not Only) Lunar Space Data Centers. - Agata M. Wijata; Alicja Musial; Dawid Lazaj; Michal Gumiela; Mateusz Przeliorz; Jonas Weiss; Patricia Sagmeister; Thomas Morf; Martin L. Schmatz; Nicolas Longépé; Pierre-Philippe Mathieu; Jakub Nalepa (IGARSS, 2024)

Detection of Bare Soil in Hyperspectral Images Using Quantum-Kernel Support Vector Machines. - Agata M. Wijata; Artur Miroszewski; Bertrand Le Saux; Nicolas Longépé; Bogdan Ruszczak; Jakub Nalepa (IGARSS, 2024)

Seeing the Invisible: On Aortic Valve Reconstruction in Non-contrast CT. - Mariusz Bujny; Katarzyna Jesionek; Jakub Nalepa; Tomasz Bartczak; Karol Miszalski-Jamka; Marcin Kostur (MICCAI (9), 2024)

Automated Hepatocellular Carcinoma Analysis in Multi-phase CT with Deep Learning. - Krzysztof Kotowski; Bartosz Machura; Damian Kucharski; Benjamín Gutiérrez-Becker; Agata Krason; Jean Tessier; Jakub Nalepa (CaPTion@MICCAI, 2024)

Convolutional neural networks estimate root-zone soil moisture from hyperspectral images. - Lukasz Tulczyjew; Bogdan Ruszczak; Michal Myller; Agata M. Wijata; Dominika Boguszewska-Mankowska; Jakub Nalepa (VCIP, 2024)

Standardized validation of vehicle routing algorithms. - Tomasz Jastrzab; Michal Myller; Lukasz Tulczyjew; Miroslaw Blocho; Michal Kawulok; Adam Czornik; Jakub Nalepa (Appl. Intell., 2024)

Deep learning ensembles for detecting brain metastases in longitudinal multi-modal MRI studies. - Bartosz Machura; Damian Kucharski; Oskar Bozek; Bartosz Eksner; Bartosz Kokoszka; Tomasz Pekala; Mateusz Radom; Marek Strzelczak; Lukasz Zarudzki; Benjamín Gutiérrez-Becker; Agata Krason; Jean Tessier; et al. (Comput. Medical Imaging Graph., 2024)

Coronary artery segmentation in non-contrast calcium scoring CT images using deep learning. - Mariusz Bujny; Katarzyna Jesionek; Jakub Nalepa; Karol Miszalski-Jamka; Katarzyna Widawka-Zak; Sabina Wolny; Marcin Kostur (CoRR, 2024)

Red Teaming Models for Hyperspectral Image Analysis Using Explainable AI. - Vladimir Zaigrajew; Hubert Baniecki; Lukasz Tulczyjew; Agata M. Wijata; Jakub Nalepa; Nicolas Longépé; Przemyslaw Biecek (CoRR, 2024)

European Space Agency Benchmark for Anomaly Detection in Satellite Telemetry. - Krzysztof Kotowski; Christoph Haskamp; Jacek Andrzejewski; Bogdan Ruszczak; Jakub Nalepa; Daniel Lakey; Peter Collins; Aybike Kolmas; Mauro Bartesaghi; Jose Martinez-Heras; Gabriele De Canio (CoRR, 2024)

The OPS-SAT benchmark for detecting anomalies in satellite telemetry. - Bogdan Ruszczak; Krzysztof Kotowski; David Evans; Jakub Nalepa (CoRR, 2024)

In Search of Quantum Advantage: Estimating the Number of Shots in Quantum Kernel Methods. - Artur Miroszewski; Marco Fellous Asiani; Jakub Mielczarek; Bertrand Le Saux; Jakub Nalepa (CoRR, 2024)

Squeezing adaptive deep learning methods with knowledge distillation for on-board cloud detection. - Bartosz Grabowski; Maciej Ziaja; Michal Kawulok; Piotr Bosowski; Nicolas Longépé; Bertrand Le Saux; Jakub Nalepa (Eng. Appl. Artif. Intell., 2024)

Quantifying inconsistencies in the Hamburg Sign Language Notation System. - Maria Ferlin; Sylwia Majchrowska; Marta A. Plantykow; Alicja Kwasniewska; Agnieszka Mikolajczyk-Barela; Milena Olech; Jakub Nalepa (Expert Syst. Appl., 2024)

Few-shot satellite image classification for bringing deep learning on board OPS-SAT. - Ramez Shendy; Jakub Nalepa (Expert Syst. Appl., 2024)

Ensembles of evolutionarily-constructed support vector machine cascades. - Wojciech Dudzik; Jakub Nalepa; Michal Kawulok (Knowl. Based Syst., 2024)

Hyperspectral Image Super-Resolution: Task-Based Evaluation. - 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 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

End-to-end deep learning pipeline for on-board extraterrestrial rock segmentation. - Daniel Marek; Jakub Nalepa (Eng. Appl. Artif. Intell., 2024)

Data from: Seeing the Invisible: On Aortic Valve Reconstruction in Non-Contrast CT. - Mariusz Bujny; Katarzyna Jesionek; Jakub Nalepa; Tomasz Bartczak; Karol Miszalski-Jamka; Marcin Kostur (Zenodo, 2024)

Data from: Seeing the Invisible: On Aortic Valve Reconstruction in Non-Contrast CT. - Mariusz Bujny; Katarzyna Jesionek; Jakub Nalepa; Tomasz Bartczak; Karol Miszalski-Jamka; Marcin Kostur (Zenodo, 2024)

On Revealing the Hidden Problem Structure in Real-World and Theoretical Problems Using Walsh Coefficient Influence. - Michal Witold Przewozniczek; Francisco Chicano; Renato Tinós; Jakub Nalepa; Bogdan Ruszczak; Agata Wijata (GECCO, 2025)

Artificial intelligence and digital twins for the personalised prediction of hypertension risk. - Akhil Naik; Jakub Nalepa; Agata M. Wijata; Joseph Mahon; Dharmesh Mistry; Adam T. Knowles; Ellen A. Dawson; Gregory Yoke Hong Lip; Iván Olier; Sandra Ortega-Martorell (Comput. Biol. Medicine, 2025)

Identifying wagon numbers using transformers. - Bartlomiej Gladys; Bartlomiej Wojakowicz; Michal Bober; Jakub Nalepa (Eng. Appl. Artif. Intell., 2025)

Monitoring Forest Changes With Foundation Models and Sentinel-2 Time Series. - Jakub Sadel; Lukasz Tulczyjew; Agata M. Wijata; Mateusz Przeliorz; Jakub Nalepa (IEEE Geosci. Remote. Sens. Lett., 2025)

Data from: Coronary artery segmentation in non-contrast calcium scoring CT images using deep learning. - Mariusz Bujny; Katarzyna Jesionek; Jakub Nalepa; Karol Miszalski-Jamka; Katarzyna Widawka-Zak; Sabina Wolny; Marcin Kostur (Zenodo, 2025)

Enhancing Coronary Artery Calcium Scoring via Multi-Organ Segmentation on Non-Contrast Cardiac Computed Tomography. - Jakub Nalepa; Tomasz Bartczak; Mariusz Bujny; Jaroslaw Goslinski; Katarzyna Jesionek; Wojciech Malara; Filip Malawski; Karol Miszalski-Jamka; Patrycja Rewa; Marcin Kostur (CoRR, 2025)

SIMULATED PHISAT-2 METHANE BENCHMARK DATASET. - Agata Wijata; Andrzej Bartoszek; Daniel Marek; Jakub Nalepa (Zenodo, 2025)

Trojan Horse Hunt in Time Series Forecasting for Space Operations. - Krzysztof Kotowski; Ramez Shendy; Jakub Nalepa; Przemyslaw Biecek; Piotr Wilczynski; Agata Kaczmarek; Dawid Pludowski; Artur Janicki; Evridiki Vasileia Ntagiou (CoRR, 2025)

Fake or Real: The Impostor Hunt in Texts for Space Operations. - Agata Kaczmarek; Dawid Pludowski; Piotr Wilczynski; Krzysztof Kotowski; Ramez Shendy; Evridiki Vasileia Ntagiou; Jakub Nalepa; Artur Janicki; Przemyslaw Biecek (CoRR, 2025)