| 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 | 56 | 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 | 32 | 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 | 28 | 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 | 23 | 2020 |
| A dataset for evaluating blood detection in hyperspectral images M Romaszewski, P Głomb, A Sochan, M Cholewa Forensic science international 320, 110701, 2021 | 19 | 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 | 15 | 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 | 12 | 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 | 10 | 2019 |
| Potential of quantum machine learning for processing multispectral Earth observation data MK Gupta, M Romaszewski, P Gawron Authorea Preprints, 2023 | 8 | 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 | 8 | 2013 |
| 3d mesh approximation using vector quantization M Romaszewski, P Głomb Computer Recognition Systems 3, 71-78, 2009 | 7 | 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 | 6 | 2014 |
| 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 | 4 | 2022 |
| Anomaly detection in hyperspectral remote sensing images P Głomb, M Romaszewski Hyperspectral Remote Sensing, 45-66, 2020 | 4 | 2020 |
| 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 | 4 | 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 | 4 | 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 | 3 | 2021 |
| Dimensionality reduction of dynamic animations using ho-svd M Romaszewski, P Gawron, S Opozda Artificial Intelligence and Soft Computing: 13th International Conference …, 2014 | 3 | 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 | 2 | 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 | 2 | 2023 |
Przemysław GłombInstitute of Theoretical and Applied Informatics, Polish Academy of SciencesVerified email at iitis.pl
