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Łukasz Tulczyjew
Łukasz Tulczyjew
Silesian University of Technology, Faculty of Automatic Control, Electronics and Computer Science
在 polsl.pl 的电子邮件经过验证
标题
引用次数
引用次数
年份
Hyperspectral band selection using attention-based convolutional neural networks
PR Lorenzo, L Tulczyjew, M Marcinkiewicz, J Nalepa
IEEE Access 8, 42384-42403, 2020
106*2020
Towards on-board hyperspectral satellite image segmentation: Understanding robustness of deep learning through simulating acquisition conditions
J Nalepa, M Myller, M Cwiek, L Zak, T Lakota, L Tulczyjew, M Kawulok
Remote sensing 13 (8), 1532, 2021
422021
Unsupervised feature learning using recurrent neural nets for segmenting hyperspectral images
L Tulczyjew, M Kawulok, J Nalepa
IEEE Geoscience and Remote Sensing Letters 18 (12), 2142-2146, 2020
262020
The hyperview challenge: Estimating soil parameters from hyperspectral images
J Nalepa, B Le Saux, N Longépé, L Tulczyjew, M Myller, M Kawulok, ...
2022 IEEE International Conference on Image Processing (ICIP), 4268-4272, 2022
152022
Graph neural networks extract high-resolution cultivated land maps from Sentinel-2 image series
L Tulczyjew, M Kawulok, N Longépé, B Le Saux, J Nalepa
IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2022
152022
A multibranch convolutional neural network for hyperspectral unmixing
L Tulczyjew, M Kawulok, N Longépé, B Le Saux, J Nalepa
IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2022
142022
Deep ensembles for hyperspectral image data classification and unmixing
J Nalepa, M Myller, L Tulczyjew, M Kawulok
Remote Sensing 13 (20), 4133, 2021
142021
Hyperspectral image classification using spectral-spatial convolutional neural networks
J Nalepa, L Tulczyjew, M Myller, M Kawulok
IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium …, 2020
6*2020
Predicting risk of satellite collisions using machine learning
L Tulczyjew, M Myller, M Kawulok, D Kostrzewa, J Nalepa
Journal of Space Safety Engineering 8 (4), 339-344, 2021
52021
Investigating the impact of the training set size on deep learning-powered hyperspectral unmixing
L Tulczyjew, J Nalepa
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2024 …, 2021
32021
LLMcap: Large Language Model for Unsupervised PCAP Failure Detection
L Tulczyjew, K Jarrah, C Abondo, D Bennett, N Weill
arXiv preprint arXiv:2407.06085, 2024
12024
Red Teaming Models for Hyperspectral Image Analysis Using Explainable AI
V Zaigrajew, H Baniecki, L Tulczyjew, AM Wijata, J Nalepa, N Longépé, ...
arXiv preprint arXiv:2403.08017, 2024
12024
Particle swarm optimization configures the route minimization algorithm
T Jastrzab, M Myller, L Tulczyjew, M Blocho, W Ryczko, M Kawulok, ...
International Conference on Computational Science, 80-87, 2022
12022
CANNIBAL Unveils the Hidden Gems: Hyperspectral Band Selection via Clustering of Weighted Variable Interaction Graphs
L Tulczyjew, M Przewozniczek, R Tinós, AM Wijata, J Nalepa
Proceedings of the Genetic and Evolutionary Computation Conference, 412-421, 2024
2024
PCAPVision: PCAP-Based High-Velocity and Large-Volume Network Failure Detection
L Tulczyjew, I Biruk, M Bilgic, C Abondo, N Weill
arXiv preprint arXiv:2407.11021, 2024
2024
Estimating Soil Parameters From Hyperspectral Images: A benchmark dataset and the outcome of the HYPERVIEW challenge
J Nalepa, L Tulczyjew, B Le Saux, N Longépé, B Ruszczak, AM Wijata, ...
IEEE Geoscience and Remote Sensing Magazine, 2024
2024
Standardized validation of vehicle routing algorithms
T Jastrzab, M Myller, L Tulczyjew, M Blocho, M Kawulok, A Czornik, ...
Applied Intelligence 54 (2), 1335-1364, 2024
2024
Unbiased Validation of Hyperspectral Unmixing Algorithms
L Tulczyjew, M Kawulok, N Longépé, B Le Saux, J Nalepa
IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium …, 2023
2023
Extracting High-Resolution Cultivated Land Maps from Sentinel-2 Image Series
T Tarasiewicz, L Tulczyjew, M Myller, M Kawulok, N Longépé, J Nalepa
IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium …, 2022
2022
AIOPEN–PLATFORM EXTENSIONS WITH AI CAPABILITIES
B Valentin, L Gale, J Lathouwers, G Smith, M Cerri, M Pellegrini, ...
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