Cholewa M, Głomb P, Romaszewski M.  2019.  A Spatial-Spectral Disagreement-Based Sample Selection With an Application to Hyperspectral Data Classification. IEEE Geoscience and Remote Sensing Letters. 16:467-471.

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Romaszewski M, Głomb P, Cholewa M.  2018.  Adaptive, Hubness-Aware Nearest Neighbour Classifier with Application to Hyperspectral Data. Computer and Information Sciences.

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Głomb P, Romaszewski M, Cholewa M, Domino K.  2018.  Application of hyperspectral imaging and Machine Learning methods for the detection of gunshot residue patterns. Forensic Science International. 290

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Głomb P, Domino K, Romaszewski M, Cholewa M.  2018.  Band selection with Higher Order Multivariate Cumulants for small target detection in hyperspectral images. arXiv:1808.03513v1.

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Romaszewski M, Sochan A, Skabek K.  2018.  Matrix and Tensor-Based Approximation of 3D Face Animations from Low-Cost Range Sensors. Computer and Information Sciences.

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Romaszewski M, Głomb P.  2016.  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.

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Romaszewski M, Głomb P, Cholewa M.  2016.  Semi-supervised hyperspectral classification from a small number of training samples using a co-training approach. ISPRS Journal of Photogrammetry and Remote Sensing. 121:60-76.

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Romaszewski M, Gawron P, Opozda S.  2014.  Dimensionality reduction of dynamic animations using HO-SVD. Lecture Notes in Artificial Intelligence. 8467:757–768.

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Romaszewski M, Głomb P, Gawron P.  2014.  Natural hand gestures for human identification in a Human-Computer Interface. Image Processing Theory Tools and Applications (IPTA), 2014 4th International Conference on. :404–409.

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Cholewa M, Głomb P, Opozda S, Romaszewski M, Sochan A, Kosiedowski M., Kuśmierek E., Bęben A., Krawiec P., Stroiński A..  2013.  Aplikacje Sieci Świadomej Treści. Inżynieria Internetu przyszłości część 2.

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

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Romaszewski M, Gawron P, Opozda S.  2013.  Dimensionality Reduction of Dynamic Mesh Animations Using HO-SVD. Journal of Artificial Intelligence and Soft Computing Research. 3:277–289.

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Kosiedowski M., Kuśmierek E., Stroiński A., Cholewa M, Głomb P, Opozda S, Romaszewski M, Sochan A, Bęben A., Krawiec P..  2012.  Aplikacje sieci świadomej treści. Przegląd telekomunikacyjny. :1491–1502.

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Głomb P, Romaszewski M, Opozda S, Sochan A.  2012.  Choosing and Modeling the Hand Gesture Database for a Natural User Interface. Gesture and Sign Language in Human-Computer Interaction and Embodied Communication.

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Głomb P, Romaszewski M, Opozda S, Sochan A.  2011.  Choosing and modeling hand gesture database for natural user interface. GW 2011: the 9th International Gesture in Embodied Communication and Human-Computer InteractionWorkshop.

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Romaszewski M, Głomb P.  2011.  The Effect of Multiple Training Sequences on HMM Classification of Motion Capture Gesture Data. Computer Recognition Systems. 4:365–373.

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Romaszewski M, Gawron P, Głomb P.  2011.  Towards a natural gesture interface: LDA-based gesture separability.

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Głomb P, Romaszewski M, Sochan A, Opozda S.  2011.  Unsupervised Parameter Selection for Gesture Recognition with Vector Quantization and Hidden Markov Models. Lecture Notes in Computer Science, Human-Computer Interaction – INTERACT. 6949

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Sochan A, Głomb P, Skabek K, Romaszewski M, Opozda S.  2011.  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.. :459–464.

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Romaszewski M, Opozda S.  2010.  Optimization of a Vector Quantizer's Quality for 3D Mesh Applications. Theoretical and Applied Informatics. 22:131–140.

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Romaszewski M, Głomb P.  2009.  3D Mesh Approximation Using Vector Quantization. Advances in Soft Computing. 57/2009:71–78.

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Romaszewski M, Opozda S, Głomb P.  2009.  3D Mesh Identification Using Random Walks and Hidden Markov Models. Image Processing & Communications Challenges. :302–308.

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