Bartosz Grabowski

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 18

Top Topics

Satellite Images

Hyperspectral Image Classification

Convolutional Neural Networks

Top Venues

Publications

Bartosz Grabowski, Maciej Ziaja, Michal Kawulok, Piotr Bosowski, Nicolas Longépé, Bertrand Le Saux, Jakub Nalepa
Squeezing adaptive deep learning methods with knowledge distillation for on-board cloud detection. Eng. Appl. Artif. Intell. 132 (2024)
Bartosz Grabowski, Maciej Ziaja, Michal Kawulok, Piotr Bosowski, Nicolas Longépé, Bertrand Le Saux, Jakub Nalepa
Squeezing nnU-Nets with Knowledge Distillation for On-Board Cloud Detection. CoRR (2023)
Artur Miroszewski, Jakub Mielczarek, Filip Szczepanek, Grzegorz Czelusta, Bartosz Grabowski, Bertrand Le Saux, Jakub Nalepa
Cloud Detection in Multispectral Satellite Images Using Support Vector Machines with Quantum Kernels. IGARSS (2023)
Artur Miroszewski, Jakub Mielczarek, Filip Szczepanek, Grzegorz Czelusta, Bartosz Grabowski, Bertrand Le Saux, Jakub Nalepa
Cloud Detection in Multispectral Satellite Images Using Support Vector Machines With Quantum Kernels. CoRR (2023)
Artur Miroszewski, Jakub Mielczarek, Grzegorz Czelusta, Filip Szczepanek, Bartosz Grabowski, Bertrand Le Saux, Jakub Nalepa
Detecting Clouds in Multispectral Satellite Images Using Quantum-Kernel Support Vector Machines. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16 (2023)
Artur Miroszewski, Jakub Mielczarek, Grzegorz Czelusta, Filip Szczepanek, Bartosz Grabowski, Bertrand Le Saux, Jakub Nalepa
Detecting Clouds in Multispectral Satellite Images Using Quantum-Kernel Support Vector Machines. CoRR (2023)
Artur Miroszewski, Jakub Mielczarek, Filip Szczepanek, Grzegorz Czelusta, Bartosz Grabowski, Bertrand Le Saux, Jakub Nalepa
Optimizing Kernel-Target Alignment for cloud detection in multispectral satellite images. CoRR (2023)
Artur Miroszewski, Jakub Mielczarek, Filip Szczepanek, Grzegorz Czelusta, Bartosz Grabowski, Bertrand Le Saux, Jakub Nalepa
Optimizing Kernel-Target Alignment for Cloud Detection in Multispectral Satellite Images. IGARSS (2023)
Kamil Ksiazek, Przemyslaw Glomb, Michal Romaszewski, Michal Cholewa, Bartosz Grabowski, Krisztián Búza
Improving Autoencoder Training Performance for Hyperspectral Unmixing with Network Reinitialisation. ICIAP (1) (2022)
Bartosz Grabowski, Maciej Ziaja, Michal Kawulok, Nicolas Longépé, Bertrand Le Saux, Jakub Nalepa
Self-Configuring nnU-Nets Detect Clouds in Satellite Images. CoRR (2022)
Bartosz Grabowski, Przemyslaw Glomb, Kamil Ksiazek, Krisztián Búza
Improving Autoencoders Performance for Hyperspectral Unmixing Using Clustering. ACIIDS (Companion) (2022)
Bartosz Grabowski, Przemyslaw Glomb, Wojciech Masarczyk, Pawel Plawiak, Özal Yildirim, U. Rajendra Acharya, Ru San Tan
Classification and Self-Supervised Regression of Arrhythmic ECG Signals Using Convolutional Neural Networks. CoRR (2022)
Bartosz Grabowski, Maciej Ziaja, Michal Kawulok, Marcin Cwiek, Tomasz Lakota, Nicolas Longépé, Jakub Nalepa
Are Cloud Detection U-Nets Robust Against in-Orbit Image Acquisition Conditions? IGARSS (2022)
Kamil Ksiazek, Przemyslaw Glomb, Michal Romaszewski, Michal Cholewa, Bartosz Grabowski
Stable training of autoencoders for hyperspectral unmixing. CoRR (2021)
Bartosz Grabowski, Maciej Ziaja, Michal Kawulok, Jakub Nalepa
Towards Robust Cloud Detection in Satellite Images Using U-Nets. IGARSS (2021)
Kamil Ksiazek, Michal Romaszewski, Przemyslaw Glomb, Bartosz Grabowski, Michal Cholewa
Blood Stain Classification with Hyperspectral Imaging and Deep Neural Networks. Sensors 20 (22) (2020)
Wojciech Masarczyk, Przemyslaw Glomb, Bartosz Grabowski, Mateusz Ostaszewski
Effective Training of Deep Convolutional Neural Networks for Hyperspectral Image Classification through Artificial Labeling. Remote. Sens. 12 (16) (2020)
Wojciech Masarczyk, Przemyslaw Glomb, Bartosz Grabowski, Mateusz Ostaszewski
Effective transfer learning for hyperspectral image classification with deep convolutional neural networks. CoRR (2019)