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

Horizontal Tabs

Publications
Biblio RSS

2022

1. 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

2. Romaszewski, M., P. Głomb, A. Sochan, and M. Cholewa, "A dataset for evaluating blood detection in hyperspectral images", Forensic Science International, vol. 320, 2021.
3. 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.

2020

4. Romaszewski, M., P. Głomb, A. Sochan, and M. Cholewa, A Dataset for Evaluating Blood Detection in Hyperspectral Images [Data set], 2020.
5. 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.
6. 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.
7. Głomb, P., and M. Romaszewski, "Anomaly detection in hyperspectral remote sensing images", Hyperspectral Remote Sensing: Theory & Applications: Elsevier, 2020.
8. 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

9. 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.
10. 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.
11. 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.

2018

12. 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.
13. 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.
14. 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.

2016

15. 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.
16. 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

17. 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.
18. 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.

2013

19. Romaszewski, M., P. Gawron, and S. Opozda, "Compression of animated 3D models using HO-SVD", arXiv:1310.1240, 2013.
20. 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.
21. 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.

2012

22. Kosiedowski, M., E. Kuśmierek, A. Stroiński, M. Cholewa, P. Głomb, S. Opozda, M. Romaszewski, A. Sochan, A. Bęben, and P. Krawiec, "Aplikacje sieci świadomej treści", Przegląd telekomunikacyjny, no. 8-9, pp. 1491–1502, 2012.
23. Głomb, P., M. Romaszewski, S. Opozda, and A. Sochan, "Choosing and Modeling the Hand Gesture Database for a Natural User Interface", Gesture and Sign Language in Human-Computer Interaction and Embodied Communication, Lecture Notes in Artificial Intelligence: Springer Berlin Heidelberg, 2012.

2011

24. Sochan, A., P. Głomb, K. Skabek, M. Romaszewski, and S. Opozda, "Virtual Museum as an Example of 3D Content Distribution in the Architecture of a Future Internet", Computer Networks 2011. Communications in Computer and Information Science 160., pp. 459–464, 2011.
25. Głomb, P., M. Romaszewski, A. Sochan, and S. Opozda, "Unsupervised Parameter Selection for Gesture Recognition with Vector Quantization and Hidden Markov Models", Lecture Notes in Computer Science, Human-Computer Interaction – INTERACT, vol. 6949, 2011.

Pages