Michał Romaszewski
Michał Romaszewski
Institute of Theoretical and Applied Informatics, Polish Academy of Sciences
Verified email at - Homepage
Cited by
Cited by
Semi-supervised hyperspectral classification from a small number of training samples using a co-training approach
M Romaszewski, P Głomb, M Cholewa
ISPRS Journal of Photogrammetry and Remote Sensing 121, 60-76, 2016
Application of hyperspectral imaging and machine learning methods for the detection of gunshot residue patterns
P Głomb, M Romaszewski, M Cholewa, K Domino
Forensic science international 290, 227-237, 2018
Choosing and modeling the hand gesture database for a natural user interface
P Głomb, M Romaszewski, S Opozda, A Sochan
Gesture and Sign Language in Human-Computer Interaction and Embodied …, 2012
Blood stain classification with hyperspectral imaging and deep neural networks
K Książek, M Romaszewski, P Głomb, B Grabowski, M Cholewa
Sensors 20 (22), 6666, 2020
A dataset for evaluating blood detection in hyperspectral images
M Romaszewski, P Głomb, A Sochan, M Cholewa
Forensic science international 320, 110701, 2021
Comparison of the surface thermal patterns of horses and donkeys in infrared thermography images
M Domino, M Romaszewski, T Jasiński, M Maśko
Animals 10 (12), 2201, 2020
Unsupervised parameter selection for gesture recognition with vector quantization and hidden markov models
P Głomb, M Romaszewski, A Sochan, S Opozda
Human-Computer Interaction–INTERACT 2011: 13th IFIP TC 13 International …, 2011
A spatial-spectral disagreement-based sample selection with an application to hyperspectral data classification
M Cholewa, P Głomb, M Romaszewski
IEEE Geoscience and Remote Sensing Letters 16 (3), 467-471, 2019
Potential of quantum machine learning for processing multispectral Earth observation data
MK Gupta, M Romaszewski, P Gawron
Authorea Preprints, 2023
Dimensionality reduction of dynamic mesh animations using ho-svd
M Romaszewski, P Gawron, S Opozda
Journal of Artificial Intelligence and Soft Computing Research 3 (4), 277-289, 2013
3d mesh approximation using vector quantization
M Romaszewski, P Głomb
Computer Recognition Systems 3, 71-78, 2009
Natural hand gestures for human identification in a Human-Computer Interface
M Romaszewski, P Głomb, P Gawron
2014 4th International Conference on Image Processing Theory, Tools and …, 2014
Anomaly detection in hyperspectral remote sensing images
P Głomb, M Romaszewski
Hyperspectral Remote Sensing, 45-66, 2020
Improving autoencoder training performance for hyperspectral unmixing with network reinitialisation
K Książek, P Głomb, M Romaszewski, M Cholewa, B Grabowski, K Búza
International Conference on Image Analysis and Processing, 391-403, 2022
Band selection with Higher Order Multivariate Cumulants for small target detection in hyperspectral images
P Głomb, K Domino, M Romaszewski, M Cholewa
arXiv preprint arXiv:1808.03513, 2018
The effect of multiple training sequences on hmm classification of motion capture gesture data
M Romaszewski, P Głomb
Computer Recognition Systems 4, 365-373, 2011
Hyperspectral classification of blood-like substances using machine learning methods combined with genetic algorithms in transductive and inductive scenarios
F Pałka, W Książek, P Pławiak, M Romaszewski, K Książek
Sensors 21 (7), 2293, 2021
Dimensionality reduction of dynamic animations using ho-svd
M Romaszewski, P Gawron, S Opozda
Artificial Intelligence and Soft Computing: 13th International Conference …, 2014
Hyperspectral Imaging as a Facile and Non‐Destructive Method for Size Analysis of Gold Nanoparticles Deposited on Porous Materials
A Ciemięga, K Maresz, M Romaszewski, P Głomb, P Krupska‐Wolas, ...
Particle & Particle Systems Characterization 41 (2), 2200204, 2024
Detection of emergent leaks using machine learning approaches
P Głomb, M Cholewa, W Koral, A Madej, M Romaszewski
Water Supply 23 (6), 2370-2386, 2023
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