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ORCIDMichal Myller
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2020 – today
- 2024
[j9]Tomasz Jastrzab
, Michal Myller, Lukasz Tulczyjew, Miroslaw Blocho, Michal Kawulok, Adam Czornik, Jakub Nalepa:
Standardized validation of vehicle routing algorithms. Appl. Intell. 54(2): 1335-1364 (2024)- [c8]Bogdan Ruszczak, Michal Myller, Lukasz Tulczyjew, Agata Wijata, Jakub Nalepa:
Particle Swarm Optimization Meets Deep Learning for Estimating Root-Zone Soil Moisture from Hyperspectral Images. GECCO Companion 2024: 695-698 - 2022
- [c7]Tomasz Jastrzab, Michal Myller, Lukasz Tulczyjew, Miroslaw Blocho, Wojciech Ryczko, Michal Kawulok, Jakub Nalepa:
Particle Swarm Optimization Configures the Route Minimization Algorithm. ICCS (1) 2022: 80-87 - [c6]Jakub Nalepa, Bertrand Le Saux, Nicolas Longépé, Lukasz Tulczyjew, Michal Myller, Michal Kawulok, Krzysztof Smykala, Michal Gumiela:
The Hyperview Challenge: Estimating Soil Parameters from Hyperspectral Images. ICIP 2022: 4268-4272 - [c5]Tomasz Tarasiewicz, Lukasz Tulczyjew, Michal Myller, Michal Kawulok, Nicolas Longépé, Jakub Nalepa:
Extracting High-Resolution Cultivated Land Maps from Sentinel-2 Image Series. IGARSS 2022: 175-178 - 2021
- [j8]Jakub Nalepa, Michal Myller, Marcin Cwiek, Lukasz Zak, Tomasz Lakota, Lukasz Tulczyjew, Michal Kawulok:
Towards On-Board Hyperspectral Satellite Image Segmentation: Understanding Robustness of Deep Learning through Simulating Acquisition Conditions. Remote. Sens. 13(8): 1532 (2021) - [j7]Maciej Ziaja, Piotr Bosowski, Michal Myller, Grzegorz Gajoch, Michal Gumiela, Jennifer Protich, Katherine Borda, Dhivya Jayaraman, Renata Dividino, Jakub Nalepa:
Benchmarking Deep Learning for On-Board Space Applications. Remote. Sens. 13(19): 3981 (2021) - [j6]Jakub Nalepa, Michal Myller, Lukasz Tulczyjew, Michal Kawulok:
Deep Ensembles for Hyperspectral Image Data Classification and Unmixing. Remote. Sens. 13(20): 4133 (2021) - 2020
- [j5]Jakub Nalepa, Michal Myller, Michal Kawulok:
Training- and Test-Time Data Augmentation for Hyperspectral Image Segmentation. IEEE Geosci. Remote. Sens. Lett. 17(2): 292-296 (2020) - [j4]Jakub Nalepa, Michal Myller, Michal Kawulok:
Transfer Learning for Segmenting Dimensionally Reduced Hyperspectral Images. IEEE Geosci. Remote. Sens. Lett. 17(7): 1228-1232 (2020) - [j3]Jakub Nalepa, Michal Myller, Yasuteru Imai, Ken-ichi Honda, Tomomi Takeda, Marek Antoniak:
Unsupervised Segmentation of Hyperspectral Images Using 3-D Convolutional Autoencoders. IEEE Geosci. Remote. Sens. Lett. 17(11): 1948-1952 (2020) - [j2]Jakub Nalepa, Marek Antoniak, Michal Myller, Pablo Ribalta Lorenzo, Michal Marcinkiewicz:
Towards resource-frugal deep convolutional neural networks for hyperspectral image segmentation. Microprocess. Microsystems 73: 102994 (2020) - [c4]Jakub Nalepa, Lukasz Tulczyjew, Michal Myller, Michal Kawulok:
Hyperspectral Image Classification Using Spectral-Spatial Convolutional Neural Networks. IGARSS 2020: 866-869 - [c3]Michal Myller, Michal Kawulok, Jakub Nalepa:
Selecting Features from Time Series Using Attention-Based Recurrent Neural Networks. S+SSPR 2020: 87-97
2010 – 2019
- 2019
- [j1]Jakub Nalepa, Michal Myller, Michal Kawulok:
Validating Hyperspectral Image Segmentation. IEEE Geosci. Remote. Sens. Lett. 16(8): 1264-1268 (2019) - [i5]Jakub Nalepa, Michal Myller, Michal Kawulok:
Hyperspectral Data Augmentation. CoRR abs/1903.05580 (2019) - [i4]Jakub Nalepa, Michal Myller, Michal Kawulok:
Transfer Learning for Segmenting Dimensionally-Reduced Hyperspectral Images. CoRR abs/1906.09631 (2019) - [i3]Jakub Nalepa, Michal Myller, Yasuteru Imai, Ken-ichi Honda, Tomomi Takeda, Marek Antoniak:
Unsupervised Segmentation of Hyperspectral Images Using 3D Convolutional Autoencoders. CoRR abs/1907.08870 (2019) - [i2]Jakub Nalepa, Lukasz Tulczyjew, Michal Myller, Michal Kawulok:
Segmenting Hyperspectral Images Using Spectral-Spatial Convolutional Neural Networks With Training-Time Data Augmentation. CoRR abs/1907.11935 (2019) - 2018
- [c2]Jakub Nalepa, Michal Myller, Szymon Piechaczek, Krzysztof Hrynczenko, Michal Kawulok:
Genetic Selection of Training Sets for (Not Only) Artificial Neural Networks. BDAS 2018: 194-206 - [c1]Jakub Nalepa, Szymon Piechaczek, Michal Myller, Krzysztof Hrynczenko:
Multi-scale Voting Classifiers for Breast-Cancer Histology Images. INCoS 2018: 526-534 - [i1]Jakub Nalepa, Michal Myller, Michal Kawulok:
Validating Hyperspectral Image Segmentation. CoRR abs/1811.03707 (2018)
Coauthor Index
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