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

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

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

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

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)

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)

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)

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)

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)

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)

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)