Bartosz Grabowski

According to our database, Bartosz Grabowski authored at least 14 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

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

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

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

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

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

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

Self-Configuring nnU-Nets Detect Clouds in Satellite Images.

Bartosz Grabowski, Maciej Ziaja, Michal Kawulok, Nicolas Longépé, Bertrand Le Saux, Jakub Nalepa

CoRR, 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

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Improving Autoencoder Training Performance for Hyperspectral Unmixing with Network Reinitialisation.

Kamil Ksiazek, Przemyslaw Glomb, Michal Romaszewski, Michal Cholewa, Bartosz Grabowski, Krisztián Búza

Proceedings of the Image Analysis and Processing - ICIAP 2022, 2022

Improving Autoencoders Performance for Hyperspectral Unmixing Using Clustering.

Bartosz Grabowski, Przemyslaw Glomb, Kamil Ksiazek, Krisztián Búza

Proceedings of the Recent Challenges in Intelligent Information and Database Systems, 2022

2021

Stable training of autoencoders for hyperspectral unmixing.

Kamil Ksiazek, Przemyslaw Glomb, Michal Romaszewski, Michal Cholewa, Bartosz Grabowski

CoRR, 2021

Towards Robust Cloud Detection in Satellite Images Using U-Nets.

Bartosz Grabowski, Maciej Ziaja, Michal Kawulok, Jakub Nalepa

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020

Blood Stain Classification with Hyperspectral Imaging and Deep Neural Networks.

Kamil Ksiazek, Michal Romaszewski, Przemyslaw Glomb, Bartosz Grabowski, Michal Cholewa

Sensors, 2020

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

2019

Effective transfer learning for hyperspectral image classification with deep convolutional neural networks.

Wojciech Masarczyk, Przemyslaw Glomb, Bartosz Grabowski, Mateusz Ostaszewski

CoRR, 2019