Effective transfer learning for hyperspectral image classification with deep convolutional neural networks. - Wojciech Masarczyk; Przemyslaw Glomb; Bartosz Grabowski; Mateusz Ostaszewski (CoRR, 2019)

Effective Training of Deep Convolutional Neural Networks for Hyperspectral Image Classification through Artificial Labeling. - Wojciech Masarczyk; Przemyslaw Glomb; Bartosz Grabowski; Mateusz Ostaszewski (Remote. Sens., 2020)

Blood Stain Classification with Hyperspectral Imaging and Deep Neural Networks. - Kamil Ksiazek; Michal Romaszewski; Przemyslaw Glomb; Bartosz Grabowski; Michal Cholewa (Sensors, 2020)

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

Stable training of autoencoders for hyperspectral unmixing. - Kamil Ksiazek; Przemyslaw Glomb; Michal Romaszewski; Michal Cholewa; Bartosz Grabowski (CoRR, 2021)

Improving Autoencoders Performance for Hyperspectral Unmixing Using Clustering. - Bartosz Grabowski; Przemyslaw Glomb; Kamil Ksiazek; Krisztián Búza (ACIIDS (Companion), 2022)

Improving Autoencoder Training Performance for Hyperspectral Unmixing with Network Reinitialisation. - Kamil Ksiazek; Przemyslaw Glomb; Michal Romaszewski; Michal Cholewa; Bartosz Grabowski; Krisztián Búza (ICIAP (1), 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)

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

Classification and Self-Supervised Regression of Arrhythmic ECG Signals Using Convolutional Neural Networks. - Bartosz Grabowski; Przemyslaw Glomb; Wojciech Masarczyk; Pawel Plawiak; Özal Yildirim; U. Rajendra Acharya; Ru-San Tan (CoRR, 2022)

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)

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)

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)

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)

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)