Michal Cholewa

26 papers C 2Misc 1Journal 15Unranked 7
YearRankTypeTitle / Venue / Authors
2025 J jnl
Deep learning approach for automatic assessment of schizophrenia and bipolar disorder in patients using R-R intervals.
PLoS Comput. Biol.
Kamil Ksiazek, Wilhelm Masarczyk, Przemyslaw Glomb, Michal Romaszewski, Krisztián Búza, Przemyslaw Sekula, Michal Cholewa, Katarzyna Kolodziej, Piotr Gorczyca, Magdalena Piegza
2025 — conf
Quantum-Aware Transformer Model for State Classification.
ICCS (Workshops 5)
Przemyslaw Sekula, Michal Romaszewski, Przemyslaw Glomb, Michal Cholewa, Lukasz Pawela
2025 J jnl
Quantum-aware Transformer model for state classification.
CoRR
Przemyslaw Sekula, Michal Romaszewski, Przemyslaw Glomb, Michal Cholewa, Lukasz Pawela
2025 J jnl
Through the Thicket: A Study of Number-Oriented LLMS Derived from Random Forest Models.
J. Artif. Intell. Soft Comput. Res.
Michal Romaszewski, Przemyslaw Sekula, Przemyslaw Glomb, Michal Cholewa, Katarzyna Kolodziej
2024 J jnl
'Just One More Sensor is Enough' - Iterative Water Leak Localization with Physical Simulation and a Small Number of Pressure Sensors.
CoRR
Michal Cholewa, Michal Romaszewski, Przemyslaw Glomb, Katarzyna Kolodziej, Michal Gorawski, Jakub Koral, Wojciech Koral, Andrzej Madej, Kryspin Musiol
2024 J jnl
Efficient Numerical Calibration of Water Delivery Network Using Short-Burst Hydrant Trials.
CoRR
Katarzyna Kolodziej, Michal Cholewa, Przemyslaw Glomb, Wojciech Koral, Michal Romaszewski
2024 J jnl
Through the Thicket: A Study of Number-Oriented LLMs derived from Random Forest Models.
CoRR
Michal Romaszewski, Przemyslaw Sekula, Przemyslaw Glomb, Michal Cholewa, Katarzyna Kolodziej
2023 C conf
Continual learning of a time series model using a mixture of HMMs with application to the IoT fuel sensor verification.
FedCSIS
Przemyslaw Glomb, Michal Cholewa, Pawel Foszner, Jakub Bularz
2022 — conf
Improving Autoencoder Training Performance for Hyperspectral Unmixing with Network Reinitialisation.
ICIAP (1)
Kamil Ksiazek, Przemyslaw Glomb, Michal Romaszewski, Michal Cholewa, Bartosz Grabowski, Krisztián Búza
2021 J jnl
Heuristical choice of SVM parameters.
CoRR
Michal Cholewa, Michal Romaszewski, Przemyslaw Glomb
2021 J jnl
Stable training of autoencoders for hyperspectral unmixing.
CoRR
Kamil Ksiazek, Przemyslaw Glomb, Michal Romaszewski, Michal Cholewa, Bartosz Grabowski
2020 J jnl
A Dataset for Evaluating Blood Detection in Hyperspectral Images.
CoRR
Michal Romaszewski, Przemyslaw Glomb, Arkadiusz Sochan, Michal Cholewa
2020 J jnl
Blood Stain Classification with Hyperspectral Imaging and Deep Neural Networks.
Sensors
Kamil Ksiazek, Michal Romaszewski, Przemyslaw Glomb, Bartosz Grabowski, Michal Cholewa
2019 J jnl
A Spatial-Spectral Disagreement-Based Sample Selection With an Application to Hyperspectral Data Classification.
IEEE Geosci. Remote. Sens. Lett.
Michal Cholewa, Przemyslaw Glomb, Michal Romaszewski
2018 — conf
Adaptive, Hubness-Aware Nearest Neighbour Classifier with Application to Hyperspectral Data.
ISCIS
Michal Romaszewski, Przemyslaw Glomb, Michal Cholewa
2018 J jnl
Band selection with Higher Order Multivariate Cumulants for small target detection in hyperspectral images.
CoRR
Przemyslaw Glomb, Krzysztof Domino, Michal Romaszewski, Michal Cholewa
2017 J jnl
Quantum hidden Markov models based on transition operation matrices.
Quantum Inf. Process.
Michal Cholewa, Piotr Gawron, Przemyslaw Glomb, Dariusz Kurzyk
2016 — conf
Performance of Interest Point Descriptors on Hyperspectral Images.
VISIGRAPP (3: VISAPP)
Przemyslaw Glomb, Michal Cholewa
2016 C conf
Two Stage SVM Classification for Hyperspectral Data.
ICPRAM
Michal Cholewa, Przemyslaw Glomb
2015 Misc conf
Experimental Evaluation of Selected Approaches to Covariance Matrix Regularization.
ICAISC
Przemyslaw Glomb, Michal Cholewa
2015 — conf
Natural human gestures classification using multisensor data.
ACPR
Michal Cholewa, Przemyslaw Glomb
2015 — conf
Relation of Average Error in Prolate Spheroidal Wave Functions Algorithm for Bandlimited Functions Approximation to Radius of Information.
ICAISC (1)
Michal Cholewa
2014 — conf
Classification of Dynamic Sequences of 3D Point Clouds.
ICAISC (1)
Michal Cholewa, Przemyslaw Sporysz
2013 J jnl
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.
Michal Cholewa, Przemyslaw Glomb
2011 J jnl
Deciding of HMM parameters based on number of critical points for gesture recognition from motion capture data
CoRR
Michal Cholewa, Przemyslaw Glomb
2011 — ch.
Gesture Data Modeling and Classification Based on Critical Points Approximation.
Computer Recognition Systems 4
Michal Cholewa, Przemyslaw Glomb