Michał Romaszewski, PhD

Email: 

Orcid ID: 

0000-0002-8227-929X

Position: 

assistant professor
Research groups

Room: 

1

Phone: 

+48 32 2317319 w.201

Interests: 

Hyperspectral imaging, image processing, machine learning

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Publications
Biblio RSS

2023

1. Głomb, P., M. Cholewa, W. Koral, A. Madej, and M. Romaszewski, "Detection of emergent leaks using machine learning approaches", Water Supply, vol. 23, issue 6, 05/2023.
2. Książek, K., W. Masarczyk, P. Głomb, M. Romaszewski, I. Stokłosa, P. Ścisło, P. Dębski, R. Pudlo, K. Buza, P. Gorczyca, et al., "The analysis of heart rate variability and accelerometer mobility data in the assessment of symptom severity in psychotic disorder patients using a wearable Polar H10 sensor", medXriv, 08/2023.
3. Ciemięga, A., K. Maresz, M. Romaszewski, P. Głomb, P. Krupska-Wolas, and K. Prusik, "Hyperspectral Imaging as a Facile and Non-Destructive Method for Size Analysis of Gold Nanoparticles Deposited on Porous Materials", Particle & Particle Systems Characterization, 2023.
4. Książek, K., W. Masarczyk, P. Głomb, M. Romaszewski, I. Stokłosa, P. Ścisło, P. Dębski, R. Pudlo, P. Gorczyca, and M. Piegza, HRV-ACC: a dataset with R-R intervals and accelerometer data for the diagnosis of psychotic disorders using a Polar H10 wearable sensor, 2023.

2022

5. Książek, K., P. Głomb, M. Romaszewski, M. Cholewa, B. Grabowski, and K. Buza, "Improving Autoencoder Training Performance for Hyperspectral Unmixing with Network Reinitialisation", 21st International Conference on Image Analysis and Processing, vol. 13231, Lecce, Italy, Springer, Cham, 05/2022.

2021

6. Pałka, F., W. Książek, P. Pławiak, M. Romaszewski, and K. Książek, "Hyperspectral Classification of Blood-Like Substances Using Machine Learning Methods Combined with Genetic Algorithms in Transductive and Inductive Scenarios", Sensors, vol. 21, 03/2021.
7. Romaszewski, M., P. Głomb, A. Sochan, and M. Cholewa, "A dataset for evaluating blood detection in hyperspectral images", Forensic Science International, vol. 320, 2021.

2020

8. Romaszewski, M., P. Głomb, A. Sochan, and M. Cholewa, A Dataset for Evaluating Blood Detection in Hyperspectral Images [Data set], 2020.
9. Domino, M., M. Romaszewski, T. Jasiński, and M. Maśko, "Comparison of the Surface Thermal Patterns of Horses and Donkeys in Infrared Thermography Images", Animals, vol. 10, issue 12, pp. 2201, 11/2020.
10. Książek, K., M. Romaszewski, P. Głomb, B. Grabowski, and M. Cholewa, "Blood Stain Classification with Hyperspectral Imaging and Deep Neural Networks", Sensors, vol. 20, issue Recent Advances in Multi- and Hyperspectral Image Analysis, 11/2020.
11. Głomb, P., and M. Romaszewski, "Anomaly detection in hyperspectral remote sensing images", Hyperspectral Remote Sensing: Theory & Applications: Elsevier, 2020.
12. Domino, M., M. Romaszewski, T. Jasiński, and M. Maśko, Comparison of surface thermal patterns of horses and donkeys in IRT images [Data set], 2020.

2019

13. Cholewa, M., P. Głomb, and M. Romaszewski, "A Spatial-Spectral Disagreement-Based Sample Selection With an Application to Hyperspectral Data Classification", IEEE Geoscience and Remote Sensing Letters, vol. 16, pp. 467-471, March, 2019.
14. Głomb, P., K. Domino, M. Romaszewski, and M. Cholewa, "Band selection with Higher Order Multivariate Cumulants for small target detection in hyperspectral images", PP-RAI'2019, Wrocław, Poland, Wroclaw University of Science and Technology, pp. p. 121, 2019.
15. Grabowski, B., P. Głomb, M. Romaszewski, and M. Ostaszewski, "Unsupervised deep learning approach to hyperspectral anomaly detection", PP-RAI'2019, Wrocław, Poland, Wroclaw University of Science and Technology, 2019.

2018

16. Głomb, P., M. Romaszewski, M. Cholewa, and K. Domino, "Application of hyperspectral imaging and Machine Learning methods for the detection of gunshot residue patterns", Forensic Science International, vol. 290, 07/2018.
17. Romaszewski, M., P. Głomb, and M. Cholewa, "Adaptive, Hubness-Aware Nearest Neighbour Classifier with Application to Hyperspectral Data", Computer and Information Sciences: Springer International Publishing, 2018.
18. Romaszewski, M., A. Sochan, and K. Skabek, "Matrix and Tensor-Based Approximation of 3D Face Animations from Low-Cost Range Sensors", Computer and Information Sciences, Cham, Springer International Publishing, 2018.

2016

19. Romaszewski, M., and P. Głomb, "Parameter Estimation for HOSVD-based Approximation of Temporally Coherent Mesh Sequences", Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 2016.
20. Romaszewski, M., P. Głomb, and M. Cholewa, "Semi-supervised hyperspectral classification from a small number of training samples using a co-training approach", ISPRS Journal of Photogrammetry and Remote Sensing, vol. 121, pp. 60 - 76, 2016.

2014

21. Romaszewski, M., P. Głomb, and P. Gawron, "Natural hand gestures for human identification in a Human-Computer Interface", Image Processing Theory Tools and Applications (IPTA), 2014 4th International Conference on: IEEE, pp. 404–409, 10, 2014.
22. Romaszewski, M., P. Gawron, and S. Opozda, "Dimensionality reduction of dynamic animations using HO-SVD", Lecture Notes in Artificial Intelligence, vol. 8467, pp. 757–768, 2014.

2013

23. Cholewa, M., P. Głomb, S. Opozda, M. Romaszewski, A. Sochan, M. Kosiedowski, E. Kuśmierek, A. Bęben, P. Krawiec, and A. Stroiński, "Aplikacje Sieci Świadomej Treści", Inżynieria Internetu przyszłości część 2: Oficyna Wydawnicza PW, 2013.
24. Romaszewski, M., P. Gawron, and S. Opozda, "Dimensionality Reduction of Dynamic Mesh Animations Using HO-SVD", Journal of Artificial Intelligence and Soft Computing Research, vol. 3, no. 4, pp. 277–289, 2013.
25. Romaszewski, M., P. Gawron, and S. Opozda, "Compression of animated 3D models using HO-SVD", arXiv:1310.1240, 2013.

Pages

Historia zmian

Data aktualizacji: 10/06/2022 - 10:42; autor zmian: Łukasz Zimny (lzimny@iitis.pl)