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

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)

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

A Sequential Approach for On-board Rock Detection from Lunar Images. - Piotr Bosowski; Jakub Sadel; Marcin Cwiek; Tomasz Strzalka; Marek Wiejak; Pawel Benecki; Michal Kawulok (IGARSS, 2023)

Cognition: Distributed Data Processing System for Lunar Activities. - Krzysztof Walas; Marcin Cwiek; Tomasz Strzalka; Marek Wiejak; Piotr Bosowski; Michal Kawulok; Mateusz Przeliorz; Dominik Pieczynski; Bartosz Ptak; Krzysztof Stezala; Michal Bidzinski; Marek Kraft (IGARSS, 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)

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)