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Bartosz Grabowski
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2020 – today
- 2024
- [j4]Bartosz Grabowski, Maciej Ziaja
, Michal Kawulok
Squeezing adaptive deep learning methods with knowledge distillation for on-board cloud detection. Eng. Appl. Artif. Intell. 132: 107835 (2024) - [c7]Bartosz Grabowski, Agata M. Wijata, Lukasz Tulczyjew, Bertrand Le Saux, Jakub Nalepa:
Soil Analysis with Very Few Labels Using Semi-Supervised Hyperspectral Image Classification. IGARSS 2024: 407-411 - 2023
- [j3]Artur Miroszewski
Detecting Clouds in Multispectral Satellite Images Using Quantum-Kernel Support Vector Machines. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 7601-7613 (2023) - [c6]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: 792-795 - [c5]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: 796-799 - [i8]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 abs/2302.08270 (2023) - [i7]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 abs/2306.09886 (2023) - [i6]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 abs/2306.14515 (2023) - [i5]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 abs/2307.07281 (2023) - 2022
- [c4]Bartosz Grabowski
Improving Autoencoders Performance for Hyperspectral Unmixing Using Clustering. ACIIDS (Companion) 2022: 102-121 - [c3]Kamil Ksiazek
Improving Autoencoder Training Performance for Hyperspectral Unmixing with Network Reinitialisation. ICIAP (1) 2022: 391-403 - [c2]Bartosz Grabowski, Maciej Ziaja
Are Cloud Detection U-Nets Robust Against in-Orbit Image Acquisition Conditions? IGARSS 2022: 239-242 - [i4]Bartosz Grabowski, Maciej Ziaja
Self-Configuring nnU-Nets Detect Clouds in Satellite Images. CoRR abs/2210.13659 (2022) - [i3]Bartosz Grabowski, Przemyslaw Glomb, Wojciech Masarczyk, Pawel Plawiak, Özal Yildirim, U. Rajendra Acharya
Classification and Self-Supervised Regression of Arrhythmic ECG Signals Using Convolutional Neural Networks. CoRR abs/2210.14253 (2022) - 2021
- [c1]Bartosz Grabowski
Towards Robust Cloud Detection in Satellite Images Using U-Nets. IGARSS 2021: 4099-4102 - [i2]Kamil Ksiazek
Stable training of autoencoders for hyperspectral unmixing. CoRR abs/2109.13748 (2021) - 2020
- [j2]Wojciech Masarczyk
Effective Training of Deep Convolutional Neural Networks for Hyperspectral Image Classification through Artificial Labeling. Remote. Sens. 12(16): 2653 (2020) - [j1]Kamil Ksiazek
Blood Stain Classification with Hyperspectral Imaging and Deep Neural Networks. Sensors 20(22): 6666 (2020)
2010 – 2019
- 2019
- [i1]Wojciech Masarczyk, Przemyslaw Glomb, Bartosz Grabowski, Mateusz Ostaszewski
Effective transfer learning for hyperspectral image classification with deep convolutional neural networks. CoRR abs/1909.05507 (2019)
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