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Author

Michał Romaszewski

Observed names: M. Romaszewski, Michal Romaszewski, Romaszewski Michal, Romaszewski, Michał
ORCID: 0000-0002-8227-929X
Observed ORCID: 0000-0002-8227-929X
OpenAlex ID: A5068582854
Semi-supervised hyperspectral classification from a small number of training samples using a co-training approach
2016 · Michał Romaszewski, Przemysław Głomb, et al. · ISPRS Journal of Photogrammetry and Remote Sensing · 56
Blood Stain Classification with Hyperspectral Imaging and Deep Neural Networks
2020 · Kamil Książek, Michał Romaszewski, et al. · Sensors · 45
Application of hyperspectral imaging and machine learning methods for the detection of gunshot residue patterns
2018 · Przemysław Głomb, Michał Romaszewski, et al. · Forensic Science International · 44
A dataset for evaluating blood detection in hyperspectral images
2021 · Michał Romaszewski, Przemysław Głomb, et al. · Forensic Science International · 29
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Choosing and Modeling the Hand Gesture Database for a Natural User Interface
2012 · Przemysław Głomb, Michał Romaszewski, et al. · Lecture notes in computer science · 23
Potential of quantum machine learning for processing multispectral Earth observation data
2025 · Manish K. Gupta, Michał Romaszewski, et al. · Bulletin of the Polish Academy of Sciences Technical Sciences · 19
Comparison of the Surface Thermal Patterns of Horses and Donkeys in Infrared Thermography Images
2020 · Małgorzata Domino, Michał Romaszewski, et al. · Animals · 18
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Detection of emergent leaks using machine learning approaches
2023 · P. Głomb, M. Cholewa, et al. · Water Science & Technology Water Supply · 15
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Hyperspectral Classification of Blood-Like Substances Using Machine Learning Methods Combined with Genetic Algorithms in Transductive and Inductive Scenarios
2021 · Filip Pałka, Wojciech Książek, et al. · Sensors · 15
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Assessment of symptom severity in psychotic disorder patients based on heart rate variability and accelerometer mobility data
2024 · Kamil Książek, Wilhelm Masarczyk, et al. · Computers in Biology and Medicine · 14
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A Spatial-Spectral Disagreement-Based Sample Selection With an Application to Hyperspectral Data Classification
2019 · Michal Cholewa, Przemyslaw Glomb, et al. · IEEE Geoscience and Remote Sensing Letters · 10
Deep learning approach for automatic assessment of schizophrenia and bipolar disorder in patients using R-R intervals
2025 · Kamil Książek, Wilhelm Masarczyk, et al. · PLoS Computational Biology · 9
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Unsupervised Parameter Selection for Gesture Recognition with Vector Quantization and Hidden Markov Models
2011 · Przemysław Głomb, Michał Romaszewski, et al. · Lecture notes in computer science · 9
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Anomaly detection in hyperspectral remote sensing images
2020 · Przemysław Głomb, Michał Romaszewski · Elsevier eBooks · 7
Through the Thicket: A Study of Number-Oriented LLMS Derived from Random Forest Models
2025 · Michał Romaszewski, Przemysław Sekuła, et al. · Journal of Artificial Intelligence and Soft Computing Research · 6
“Just One More Sensor is Enough”—Iterative Water Leak Localization With Physical Simulation and a Small Number of Pressure Sensors
2024 · Michał Cholewa, Michał Romaszewski, et al. · IEEE Sensors Journal · 6
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Band selection with Higher Order Multivariate Cumulants for small target detection in hyperspectral images
2018 · Głomb, Przemysław, Domino, Krzysztof, et al. · arXiv (Cornell University) · 6
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Natural hand gestures for human identification in a Human-Computer Interface
2014 · Michal Romaszewski, Przemyslaw Glomb, et al. · International Conference on Image Processing Theory, Tools and Applications (IPTA) · 6
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3D Mesh Approximation Using Vector Quantization
2009 · Michal Romaszewski, Przemysław Głomb · Advances in intelligent and soft computing · 6
Dimensionality Reduction of Dynamic Mesh Animations Using HO-SVD
2013 · Michał Romaszewski, Piotr Gawron, et al. · Journal of Artificial Intelligence and Soft Computing Research · 5
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The Effect of Multiple Training Sequences on HMM Classification of Motion Capture Gesture Data
2011 · Michał Romaszewski, Przemysław Głomb · Advances in intelligent and soft computing · 5
HRV-ACC: a dataset with R-R intervals and accelerometer data for the diagnosis of psychotic disorders using a Polar H10 wearable sensor
2023 · Kamil Książek, Wilhelm Masarczyk, et al. · 4
Improving Autoencoder Training Performance for Hyperspectral Unmixing with Network Reinitialisation
2022 · Kamil Książek, Przemysław Głomb, et al. · Lecture notes in computer science · 4
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Quantum-Aware Transformer Model for State Classification
2025 · Przemysław Sekuła, Michał Romaszewski, et al. · Lecture notes in computer science · 2
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Semantic Depth Matters: Explaining Errors of Deep Vision Networks through Perceived Class Similarities
2025 · Filus, Katarzyna, Romaszewski, Michał, et al. · arXiv (Cornell University) · 2
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Works count: 49
Citation count: 378
H-index: 10
I10-index: 11
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