| 2026 | WACV | The King(dom) is Naked: Lightweight Machine Learning for Hyperspectral Bare Soil Detection. | Agata M. Wijata, Bogdan Ruszczak, Lukasz Tulczyjew, Nicolas Longp, Jakub Nalepa |
| 2025 | GECCO | On Revealing the Hidden Problem Structure in Real-World and Theoretical Problems Using Walsh Coefficient Influence. | Michal Witold Przewozniczek, Francisco Chicano, Renato Tins, Jakub Nalepa, Bogdan Ruszczak, Agata Wijata |
| 2025 | GECCO | Single- and Multi-Objective Genetic Optimization of Hyperspectral Image Pre-Processing. | Bogdan Ruszczak, Sabina Kubiciel-Lodzinska, Katarzyna Rudnik, Zineb Bougriche, Agata M. Wijata, Jakub Nalepa |
| 2025 | GECCO | Genetic Feature Selection for Multimodal Wound Detection. | Agata M. Wijata, Maria J. Bienkowska, Michal Witold Przewozniczek, Jakub Nalepa |
| 2025 | GECCO | Machine Learning and Genetic Algorithms: An Intricate Relationship for Locating Methane in Satellite Images. | Agata M. Wijata, Nicolas Longp, Michal Witold Przewozniczek, Jakub Nalepa |
| 2025 | MICCAI | Segmentation of Pre and Post-treatment Brain Metastases Using nnU-Nets. | Maria Bancerek, Piotr Rudzki, Jakub Nalepa |
| 2024 | GECCO | 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 |
| 2024 | GECCO | CANNIBAL Unveils the Hidden Gems: Hyperspectral Band Selection via Clustering of Weighted Variable Interaction Graphs. | Lukasz Tulczyjew, Michal Przewozniczek, Renato Tins, Agata M. Wijata, Jakub Nalepa |
| 2024 | GECCO | Selecting Image Features for Biopsy Needle Detection in Ultrasound Images Using Genetic Algorithms. | Agata M. Wijata, Bartlomiej Pycinski, Jakub Nalepa |
| 2024 | ICIP | 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 |
| 2024 | ICIP | A Needle In A (Medical) Haystack: Detecting A Biopsy Needle In Ultrasound Images Using Vision Transformers. | Agata M. Wijata, Bartlomiej Pycinski, Jakub Nalepa |
| 2024 | IGARSS | Utility of Quantum Kernel Machines in Remote Sensing Applications. | Artur Miroszewski, Bertrand Le Saux, Nicolas Longp, Jakub Nalepa |
| 2024 | IGARSS | 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 Longp, Krzysztof Smykala, Jakub Nalepa |
| 2024 | IGARSS | 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 Longp, Pierre-Philippe Mathieu, Jakub Nalepa |
| 2024 | IGARSS | Detection of Bare Soil in Hyperspectral Images Using Quantum-Kernel Support Vector Machines. | Agata M. Wijata, Artur Miroszewski, Bertrand Le Saux, Nicolas Longp, Bogdan Ruszczak, Jakub Nalepa |
| 2024 | ICPRAM | Predicting the MGMT Promoter Methylation Status in T2-FLAIR Magnetic Resonance Imaging Scans Using Machine Learning. | Martyna Kurbiel, Agata M. Wijata, Jakub Nalepa |
| 2024 | IGARSS | Estimating Soil Parameters from Hyperspectral Imagesusing Ensembles of Classic and Deep Machine Learning Models. | Wiktor Gacek, Lukasz Tulczyjew, Agata M. Wijata, Nicolas Longp, Bertrand Le Saux, Jakub Nalepa |
| 2024 | IGARSS | Soil Analysis with Very Few Labels Using Semi-Supervised Hyperspectral Image Classification. | Bartosz Grabowski, Agata M. Wijata, Lukasz Tulczyjew, Bertrand Le Saux, Jakub Nalepa |
| 2024 | MICCAI | Seeing the Invisible: On Aortic Valve Reconstruction in Non-contrast CT. | Mariusz Bujny, Katarzyna Jesionek, Jakub Nalepa, Tomasz Bartczak, Karol Miszalski-Jamka, Marcin Kostur |
| 2024 | MICCAI | Automated Hepatocellular Carcinoma Analysis in Multi-phase CT with Deep Learning. | Krzysztof Kotowski, Bartosz Machura, Damian Kucharski, Benjamn Gutirrez-Becker, Agata Krason, Jean Tessier, Jakub Nalepa |
| 2024 | VCIP | 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 |
| 2023 | GECCO | Parallel Cooperative Memetic Co-evolution for VRPTW. | Miroslaw Blocho, Tomasz Jastrzab, Jakub Nalepa |
| 2023 | GECCO | Genetic Structural NAS: A Neural Network Architecture Search with Flexible Slot Connections. | Jakub Sadel, Michal Kawulok, Mateusz Przeliorz, Jakub Nalepa, Daniel Kostrzewa |
| 2023 | ICCS | On the Impact of Noisy Labels on Supervised Classification Models. | Rafal Dubel, Agata M. Wijata, Jakub Nalepa |
| 2023 | ICCS | 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 |
| 2023 | ICCS | Estimating Chlorophyll Content from Hyperspectral Data Using Gradient Features. | Bogdan Ruszczak, Agata M. Wijata, Jakub Nalepa |
| 2023 | ICIP | 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 |
| 2023 | ICIP | Machine Learning Detects a Biopsy Needle in Ultrasound Images. | Agata M. Wijata, Jakub Nalepa |
| 2023 | IGARSS | 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 |
| 2023 | IGARSS | 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 |
| 2023 | IGARSS | Unbiased Validation of Hyperspectral Unmixing Algorithms. | Lukasz Tulczyjew, Michal Kawulok, Nicolas Longp, Bertrand Le Saux, Jakub Nalepa |
| 2023 | IGARSS | Toward On-Board Methane Detection in Hyperspectral Images. | Agata M. Wijata, Michel-Franois Foulon, Yves Bobichon, Nicolas Longp, Roberto Camarero, Raffaele Vitulli, Marco Celesti, Gianluigi Di Cosimo, Ferran Gascon, Jens Nieke, Jakub Nalepa |
| 2023 | IGARSS | 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 |
| 2023 | IGARSS | Knowledge Distillation for Memory-Efficient On-Board Image Classification of Mars Imagery. | Piotr Bosowski, Nicolas Longp, Bertrand Le Saux, Jakub Nalepa |
| 2023 | IGARSS | 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 |
| 2023 | IGARSS | 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 |
| 2022 | ACIIDS | Fusing Deep Learning with Support Vector Machines to Detect COVID-19 in X-Ray Images. | Jakub Nalepa, Piotr Bosowski, Wojciech Dudzik, Michal Kawulok |
| 2022 | GECCO | Cooperative co-evolutionary memetic algorithm for pickup and delivery problem with time windows. | Miroslaw Blocho, Tomasz Jastrzab, Jakub Nalepa |
| 2022 | GECCO | Cascades of evolutionary support vector machines. | Wojciech Dudzik, Jakub Nalepa, Michal Kawulok |
| 2022 | GECCO | Evolutionary algorithms meet classical and deep machine learning for skin detection in color images. | Jakub Nalepa, Stanislaw Czembor, Wojciech Dudzik, Michal Kawulok |
| 2022 | ICCS | Particle Swarm Optimization Configures the Route Minimization Algorithm. | Tomasz Jastrzab, Michal Myller, Lukasz Tulczyjew, Miroslaw Blocho, Wojciech Ryczko, Michal Kawulok, Jakub Nalepa |
| 2022 | ICIP | The Hyperview Challenge: Estimating Soil Parameters from Hyperspectral Images. | Jakub Nalepa, Bertrand Le Saux, Nicolas Longp, Lukasz Tulczyjew, Michal Myller, Michal Kawulok, Krzysztof Smykala, Michal Gumiela |
| 2022 | ICIP | Deep Learning Meets Radiomics For End-To-End Brain Tumor MRI Analysis. | Wojciech Ponikiewski, Jakub Nalepa |
| 2022 | ICIP | Unbiased Validation of the Algorithms for Automatic Needle Localization in Ultrasound-Guided Breast Biopsies. | Agata M. Wijata, Jakub Nalepa |
| 2022 | IGARSS | Semi-Simulated Training Data for Multi-Image Super-Resolution. | Tomasz Tarasiewicz, Jakub Nalepa, Michal Kawulok |
| 2022 | IGARSS | Extracting High-Resolution Cultivated Land Maps from Sentinel-2 Image Series. | Tomasz Tarasiewicz, Lukasz Tulczyjew, Michal Myller, Michal Kawulok, Nicolas Longp, Jakub Nalepa |
| 2022 | IGARSS | Data Augmentation for Multi-Image Super-Resolution. | Maciej Ziaja, Jakub Nalepa, Michal Kawulok |
| 2022 | IGARSS | Are Cloud Detection U-Nets Robust Against in-Orbit Image Acquisition Conditions? | Bartosz Grabowski, Maciej Ziaja, Michal Kawulok, Marcin Cwiek, Tomasz Lakota, Nicolas Longp, Jakub Nalepa |
| 2022 | MICCAI | 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 |
| 2021 | GECCO | Detecting anomalies in spacecraft telemetry using evolutionary thresholding and LSTMs. | Pawel Benecki, Szymon Piechaczek, Daniel Kostrzewa, Jakub Nalepa |
| 2021 | ICIP | Evolving Deep Ensembles For Detecting Covid-19 In Chest X-Rays. | Piotr Bosowski, Joanna Bosowska, Jakub Nalepa |
| 2021 | ICIP | A Graph Neural Network For Multiple-Image Super-Resolution. | Tomasz Tarasiewicz, Jakub Nalepa, Michal Kawulok |
| 2021 | IGARSS | Investigating the Impact of the Training Set Size on Deep Learning-Powered Hyperspectral Unmixing. | Lukasz Tulczyjew, Jakub Nalepa |
| 2021 | IGARSS | Towards Robust Cloud Detection in Satellite Images Using U-Nets. | Bartosz Grabowski, Maciej Ziaja, Michal Kawulok, Jakub Nalepa |
| 2021 | IGARSS | Deep Learning for Multiple-Image Super-Resolution of Sentinel-2 Data. | Michal Kawulok, Tomasz Tarasiewicz, Jakub Nalepa, Diana Tyrna, Daniel Kostrzewa |
| 2020 | ICIP | Skinny: A Lightweight U-Net For Skin Detection And Segmentation. | Tomasz Tarasiewicz, Jakub Nalepa, Michal Kawulok |
| 2020 | ICPR | Memetic Evolution of Training Sets with Adaptive Radial Basis Kernels for Support Vector Machines. | Jakub Nalepa, Wojciech Dudzik, Michal Kawulok |
| 2020 | IGARSS | Segmenting Hyperspectral Images Using Spectral Convolutional Neural Networks in the Presence of Noise. | Jakub Nalepa, Marek Stanek |
| 2020 | IGARSS | Hyperspectral Image Classification Using Spectral-Spatial Convolutional Neural Networks. | Jakub Nalepa, Lukasz Tulczyjew, Michal Myller, Michal Kawulok |
| 2020 | IGARSS | Evaluating Super-Resolution of Satellite Images: A Proba-V Case Study. | Michal Kawulok, Pawel Benecki, Jakub Nalepa, Daniel Kostrzewa |
| 2020 | SSPR | Selecting Features from Time Series Using Attention-Based Recurrent Neural Networks. | Michal Myller, Michal Kawulok, Jakub Nalepa |
| 2020 | SSPR | Multiple-Image Super-Resolution Using Deep Learning and Statistical Features. | Jakub Nalepa, Krzysztof Hrynczenko, Michal Kawulok |
| 2019 | CEC | On Evolutionary Classification Ensembles. | Aleksandra Kardas, Michal Kawulok, Jakub Nalepa |
| 2019 | GECCO | Evolutionarily-tuned support vector machines. | Wojciech Dudzik, Michal Kawulok, Jakub Nalepa |
| 2019 | ICIP | 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, Janusz Szymanek |
| 2019 | IGARSS | On Training Deep Networks for Satellite Image Super-Resolution. | Michal Kawulok, Szymon Piechaczek, Krzysztof Hrynczenko, Pawel Benecki, Daniel Kostrzewa, Jakub Nalepa |
| 2019 | IGARSS | Segmentation of Multispectral Data Simulated from Hyperspectral Imagery. | Michal Marcinkiewicz, Michal Kawulok, Jakub Nalepa |
| 2018 | ACIIDS | Towards Robust Evaluation of Super-Resolution Satellite Image Reconstruction. | Michal Kawulok, Pawel Benecki, Jakub Nalepa, Daniel Kostrzewa, Lukasz Skonieczny |
| 2018 | DSD | Segmentation of Hyperspectral Images Using Quantized Convolutional Neural Networks. | Pablo Ribalta Lorenzo, Michal Marcinkiewicz, Jakub Nalepa |
| 2018 | GECCO | Memetic evolution of deep neural networks. | Pablo Ribalta Lorenzo, Jakub Nalepa |
| 2018 | GECCO | Parameter-less (meta)heuristics for vehicle routing problems. | Jakub Nalepa, Miroslaw Blocho |
| 2018 | GECCO | Genetically-trained deep neural networks. | Krzysztof Pawelczyk, Michal Kawulok, Jakub Nalepa |
| 2018 | ICPRAM | Extracting Biomarkers from Dynamic Images - Approaches and Challenges. | Jakub Nalepa, Michael P. Hayball, Stephen J. Brown, Michal Kawulok, Janusz Szymanek |
| 2018 | ICPRAM | Transferring Information Across Medical Images of Different Modalities. | Jakub Nalepa, Piotr Mokry, Janusz Szymanek, Michael P. Hayball |
| 2018 | MICCAI | Segmenting Brain Tumors from MRI Using Cascaded Multi-modal U-Nets. | Michal Marcinkiewicz, Jakub Nalepa, Pablo Ribalta Lorenzo, Wojciech Dudzik, Grzegorz Mrukwa |
| 2017 | ACIIDS | Spatial Planning as a Hexomino Puzzle. | Marcin Cwiek, Jakub Nalepa |
| 2017 | EASE | Hands-Free Research Workflow. | Pablo Ribalta Lorenzo, Jakub Nalepa, Luciano Snchez Ramos, Jos Ranilla Pastor |
| 2017 | GECCO | Particle swarm optimization for hyper-parameter selection in deep neural networks. | Pablo Ribalta Lorenzo, Jakub Nalepa, Michal Kawulok, Luciano Snchez Ramos, Jos Ranilla Pastor |
| 2017 | GECCO | Hyper-parameter selection in deep neural networks using parallel particle swarm optimization. | Pablo Ribalta Lorenzo, Jakub Nalepa, Luciano Snchez Ramos, Jos Ranilla Pastor |
| 2017 | ICIAP | 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 |
| 2017 | PDP | A Parallel Memetic Algorithm for the Pickup and Delivery Problem with Time Windows. | Jakub Nalepa, Miroslaw Blocho |
| 2016 | ACIIDS | How to Generate Benchmarks for Rich Routing Problems? | Marcin Cwiek, Jakub Nalepa, Marcin Dublanski |
| 2016 | ACIIDS | Enhanced Guided Ejection Search for the Pickup and Delivery Problem with Time Windows. | Jakub Nalepa, Miroslaw Blocho |
| 2016 | FedCSIS | Is Your Parallel Algorithm Correct? | Jakub Nalepa, Miroslaw Blocho |
| 2016 | GECCO | The Smaller, the Better: Selecting Refined SVM Training Sets Using Adaptive Memetic Algorithm. | Jakub Nalepa, Michal Kawulok |
| 2015 | IJCNN | Adaptive memetic algorithm for the job shop scheduling problem. | Jakub Nalepa, Marcin Cwiek, Michal Kawulok |
| 2014 | CIARP | Self-Adaptive Skin Segmentation in Color Images. | Michal Kawulok, Jolanta Kawulok, Jakub Nalepa, Bogdan Smolka |
| 2014 | GECCO | A fast genetic algorithm for the flexible job shop scheduling problem. | Marcin Cwiek, Jakub Nalepa |
| 2014 | GECCO | Adaptive memetic algorithm for the vehicle routing problem with time windows. | Jakub Nalepa |
| 2014 | GECCO | A memetic algorithm to select training data for support vector machines. | Jakub Nalepa, Michal Kawulok |
| 2014 | ICCVG | Texture Analysis for Identifying Heterogeneity in Medical Images. | Jakub Nalepa, Janusz Szymanek, Michael P. Hayball, Stephen J. Brown, Balaji Ganeshan, Kenneth Miles |
| 2013 | ICIP | Skin detection using spatial analysis with adaptive seed. | Michal Kawulok, Jolanta Kawulok, Jakub Nalepa, Maciej Papiez |
| 2013 | ISM | Parallel Hand Shape Classification. | Jakub Nalepa, Michal Kawulok |
| 2013 | PPAM | Co-operation Schemes for the Parallel Memetic Algorithm. | Jakub Nalepa, Miroslaw Blocho, Zbigniew J. Czech |
| 2012 | SSPR | Support Vector Machines Training Data Selection Using a Genetic Algorithm. | Michal Kawulok, Jakub Nalepa |