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ORCIDMichal Cholewa
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2020 – today
- 2024
[i7]Michal Romaszewski, Przemyslaw Sekula, Przemyslaw Glomb, Michal Cholewa, Katarzyna Kolodziej:
Through the Thicket: A Study of Number-Oriented LLMs derived from Random Forest Models. CoRR abs/2406.04926 (2024)- [i6]Michal Cholewa, Michal Romaszewski, Przemyslaw Glomb, Katarzyna Kolodziej, Michal Gorawski, Jakub Koral, Wojciech Koral, Andrzej Madej, Kryspin Musiol:
'Just One More Sensor is Enough' - Iterative Water Leak Localization with Physical Simulation and a Small Number of Pressure Sensors. CoRR abs/2406.19900 (2024) - 2023
- [c9]Przemyslaw Glomb, Michal Cholewa, Pawel Foszner, Jakub Bularz:
Continual learning of a time series model using a mixture of HMMs with application to the IoT fuel sensor verification. FedCSIS 2023: 259-264 - 2022
- [c8]Kamil Ksiazek
, Przemyslaw Glomb, Michal Romaszewski, Michal Cholewa, Bartosz Grabowski, Krisztián Búza:
Improving Autoencoder Training Performance for Hyperspectral Unmixing with Network Reinitialisation. ICIAP (1) 2022: 391-403 - 2021
- [i5]Kamil Ksiazek, Przemyslaw Glomb, Michal Romaszewski, Michal Cholewa, Bartosz Grabowski:
Stable training of autoencoders for hyperspectral unmixing. CoRR abs/2109.13748 (2021) - [i4]Michal Cholewa, Michal Romaszewski, Przemyslaw Glomb:
Heuristical choice of SVM parameters. CoRR abs/2111.02164 (2021) - 2020
- [j4]Kamil Ksiazek, Michal Romaszewski, Przemyslaw Glomb, Bartosz Grabowski, Michal Cholewa:
Blood Stain Classification with Hyperspectral Imaging and Deep Neural Networks. Sensors 20(22): 6666 (2020) - [i3]Michal Romaszewski, Przemyslaw Glomb, Arkadiusz Sochan, Michal Cholewa:
A Dataset for Evaluating Blood Detection in Hyperspectral Images. CoRR abs/2008.10254 (2020)
2010 – 2019
- 2019
- [j3]Michal Cholewa, Przemyslaw Glomb, Michal Romaszewski:
A Spatial-Spectral Disagreement-Based Sample Selection With an Application to Hyperspectral Data Classification. IEEE Geosci. Remote. Sens. Lett. 16(3): 467-471 (2019) - 2018
- [c7]Michal Romaszewski, Przemyslaw Glomb, Michal Cholewa:
Adaptive, Hubness-Aware Nearest Neighbour Classifier with Application to Hyperspectral Data. ISCIS 2018: 113-120 - [i2]Przemyslaw Glomb, Krzysztof Domino, Michal Romaszewski, Michal Cholewa:
Band selection with Higher Order Multivariate Cumulants for small target detection in hyperspectral images. CoRR abs/1808.03513 (2018) - 2017
- [j2]Michal Cholewa, Piotr Gawron, Przemyslaw Glomb, Dariusz Kurzyk:
Quantum hidden Markov models based on transition operation matrices. Quantum Inf. Process. 16(4): 101 (2017) - 2016
- [c6]Michal Cholewa, Przemyslaw Glomb:
Two Stage SVM Classification for Hyperspectral Data. ICPRAM 2016: 387-391 - [c5]Przemyslaw Glomb, Michal Cholewa:
Performance of Interest Point Descriptors on Hyperspectral Images. VISIGRAPP (3: VISAPP) 2016: 200-205 - 2015
- [c4]Michal Cholewa, Przemyslaw Glomb:
Natural human gestures classification using multisensor data. ACPR 2015: 499-503 - [c3]Przemyslaw Glomb, Michal Cholewa:
Experimental Evaluation of Selected Approaches to Covariance Matrix Regularization. ICAISC 2015: 391-401 - [c2]Michal Cholewa:
Relation of Average Error in Prolate Spheroidal Wave Functions Algorithm for Bandlimited Functions Approximation to Radius of Information. ICAISC (1) 2015: 528-540 - 2014
- [c1]Michal Cholewa, Przemyslaw Sporysz:
Classification of Dynamic Sequences of 3D Point Clouds. ICAISC (1) 2014: 672-683 - 2013
- [j1]Michal Cholewa, Przemyslaw Glomb:
Estimation of the number of states for gesture recognition with Hidden Markov Models based on the number of critical points in time sequence. Pattern Recognit. Lett. 34(5): 574-579 (2013) - 2011
- [p1]Michal Cholewa, Przemyslaw Glomb:
Gesture Data Modeling and Classification Based on Critical Points Approximation. Computer Recognition Systems 4 2011: 307-315 - [i1]Michal Cholewa, Przemyslaw Glomb:
Deciding of HMM parameters based on number of critical points for gesture recognition from motion capture data. CoRR abs/1110.6287 (2011)
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