Michal Myller

According to our database, Michal Myller authored at least 20 papers between 2018 and 2024.

Collaborative distances:

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

2024

Standardized validation of vehicle routing algorithms.

Tomasz Jastrzab, Michal Myller, Lukasz Tulczyjew, Miroslaw Blocho, Michal Kawulok, Adam Czornik, Jakub Nalepa

Appl. Intell., 2024

Particle Swarm Optimization Meets Deep Learning for Estimating Root-Zone Soil Moisture from Hyperspectral Images.

Bogdan Ruszczak, Michal Myller, Lukasz Tulczyjew, Agata Wijata, Jakub Nalepa

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

2022

Extracting High-Resolution Cultivated Land Maps from Sentinel-2 Image Series.

Tomasz Tarasiewicz, Lukasz Tulczyjew, Michal Myller, Michal Kawulok, Nicolas Longépé, Jakub Nalepa

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

The Hyperview Challenge: Estimating Soil Parameters from Hyperspectral Images.

Jakub Nalepa, Bertrand Le Saux, Nicolas Longépé, Lukasz Tulczyjew, Michal Myller, Michal Kawulok, Krzysztof Smykala, Michal Gumiela

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Particle Swarm Optimization Configures the Route Minimization Algorithm.

Tomasz Jastrzab, Michal Myller, Lukasz Tulczyjew, Miroslaw Blocho, Wojciech Ryczko, Michal Kawulok, Jakub Nalepa

Proceedings of the Computational Science - ICCS 2022, 2022

2021

Benchmarking Deep Learning for On-Board Space Applications.

Maciej Ziaja, Piotr Bosowski, Michal Myller, Grzegorz Gajoch, Michal Gumiela, Jennifer Protich, Katherine Borda, Dhivya Jayaraman, Renata Dividino, Jakub Nalepa

Remote. Sens., 2021

Deep Ensembles for Hyperspectral Image Data Classification and Unmixing.

Jakub Nalepa, Michal Myller, Lukasz Tulczyjew, Michal Kawulok

Remote. Sens., 2021

Towards On-Board Hyperspectral Satellite Image Segmentation: Understanding Robustness of Deep Learning through Simulating Acquisition Conditions.

Jakub Nalepa, Michal Myller, Marcin Cwiek, Lukasz Zak, Tomasz Lakota, Lukasz Tulczyjew, Michal Kawulok

Remote. Sens., 2021

2020

Towards resource-frugal deep convolutional neural networks for hyperspectral image segmentation.

Jakub Nalepa, Marek Antoniak, Michal Myller, Pablo Ribalta Lorenzo, Michal Marcinkiewicz

Microprocess. Microsystems, 2020

Transfer Learning for Segmenting Dimensionally Reduced Hyperspectral Images.

Jakub Nalepa, Michal Myller, Michal Kawulok

IEEE Geosci. Remote. Sens. Lett., 2020

Training- and Test-Time Data Augmentation for Hyperspectral Image Segmentation.

Jakub Nalepa, Michal Myller, Michal Kawulok

IEEE Geosci. Remote. Sens. Lett., 2020

Unsupervised Segmentation of Hyperspectral Images Using 3-D Convolutional Autoencoders.

Jakub Nalepa, Michal Myller, Yasuteru Imai, Ken-ichi Honda, Tomomi Takeda, Marek Antoniak

IEEE Geosci. Remote. Sens. Lett., 2020

Selecting Features from Time Series Using Attention-Based Recurrent Neural Networks.

Michal Myller, Michal Kawulok, Jakub Nalepa

Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2020

Hyperspectral Image Classification Using Spectral-Spatial Convolutional Neural Networks.

Jakub Nalepa, Lukasz Tulczyjew, Michal Myller, Michal Kawulok

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019

Validating Hyperspectral Image Segmentation.

Jakub Nalepa, Michal Myller, Michal Kawulok

IEEE Geosci. Remote. Sens. Lett., 2019

Segmenting Hyperspectral Images Using Spectral-Spatial Convolutional Neural Networks With Training-Time Data Augmentation.

Jakub Nalepa, Lukasz Tulczyjew, Michal Myller, Michal Kawulok

CoRR, 2019

Unsupervised Segmentation of Hyperspectral Images Using 3D Convolutional Autoencoders.

Jakub Nalepa, Michal Myller, Yasuteru Imai, Ken-ichi Honda, Tomomi Takeda, Marek Antoniak

CoRR, 2019

Hyperspectral Data Augmentation.

Jakub Nalepa, Michal Myller, Michal Kawulok

CoRR, 2019

2018

Multi-scale Voting Classifiers for Breast-Cancer Histology Images.

Jakub Nalepa, Szymon Piechaczek, Michal Myller, Krzysztof Hrynczenko

Proceedings of the Advances in Intelligent Networking and Collaborative Systems, 2018

Genetic Selection of Training Sets for (Not Only) Artificial Neural Networks.

Jakub Nalepa, Michal Myller, Szymon Piechaczek, Krzysztof Hrynczenko, Michal Kawulok

Proceedings of the Beyond Databases, Architectures and Structures. Facing the Challenges of Data Proliferation and Growing Variety, 2018