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)

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

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

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

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)

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