Bartosz Grabowski

19 papers C 5Journal 12Unranked 2

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