Deciding of HMM parameters based on number of critical points for gesture recognition from motion capture data - Michal Cholewa; Przemyslaw Glomb (CoRR, 2011)

Gesture Data Modeling and Classification Based on Critical Points Approximation. - Michal Cholewa; Przemyslaw Glomb (Computer Recognition Systems 4, 2011)

Estimation of the number of states for gesture recognition with Hidden Markov Models based on the number of critical points in time sequence. - Michal Cholewa; Przemyslaw Glomb (Pattern Recognit. Lett., 2013)

Classification of Dynamic Sequences of 3D Point Clouds. - Michal Cholewa; Przemyslaw Sporysz (ICAISC (1), 2014)

Natural human gestures classification using multisensor data. - Michal Cholewa; Przemyslaw Glomb (ACPR, 2015)

Relation of Average Error in Prolate Spheroidal Wave Functions Algorithm for Bandlimited Functions Approximation to Radius of Information. - Michal Cholewa (ICAISC (1), 2015)

Experimental Evaluation of Selected Approaches to Covariance Matrix Regularization. - Przemyslaw Glomb; Michal Cholewa (ICAISC, 2015)

Two Stage SVM Classification for Hyperspectral Data. - Michal Cholewa; Przemyslaw Glomb (ICPRAM, 2016)

Performance of Interest Point Descriptors on Hyperspectral Images. - Przemyslaw Glomb; Michal Cholewa (VISIGRAPP (3: VISAPP), 2016)

Quantum hidden Markov models based on transition operation matrices. - Michal Cholewa; Piotr Gawron; Przemyslaw Glomb; Dariusz Kurzyk (Quantum Inf. Process., 2017)

Adaptive, Hubness-Aware Nearest Neighbour Classifier with Application to Hyperspectral Data. - Michal Romaszewski; Przemyslaw Glomb; Michal Cholewa (ISCIS, 2018)

Band selection with Higher Order Multivariate Cumulants for small target detection in hyperspectral images. - Przemyslaw Glomb; Krzysztof Domino; Michal Romaszewski; Michal Cholewa (CoRR, 2018)

A Spatial-Spectral Disagreement-Based Sample Selection With an Application to Hyperspectral Data Classification. - Michal Cholewa; Przemyslaw Glomb; Michal Romaszewski (IEEE Geosci. Remote. Sens. Lett., 2019)

A Dataset for Evaluating Blood Detection in Hyperspectral Images. - Michal Romaszewski; Przemyslaw Glomb; Arkadiusz Sochan; Michal Cholewa (CoRR, 2020)

Blood Stain Classification with Hyperspectral Imaging and Deep Neural Networks. - Kamil Ksiazek; Michal Romaszewski; Przemyslaw Glomb; Bartosz Grabowski; Michal Cholewa (Sensors, 2020)

Stable training of autoencoders for hyperspectral unmixing. - Kamil Ksiazek; Przemyslaw Glomb; Michal Romaszewski; Michal Cholewa; Bartosz Grabowski (CoRR, 2021)

Heuristical choice of SVM parameters. - Michal Cholewa; Michal Romaszewski; Przemyslaw Glomb (CoRR, 2021)

Improving Autoencoder Training Performance for Hyperspectral Unmixing with Network Reinitialisation. - Kamil Ksiazek; Przemyslaw Glomb; Michal Romaszewski; Michal Cholewa; Bartosz Grabowski; Krisztián Búza (ICIAP (1), 2022)

Continual learning of a time series model using a mixture of HMMs with application to the IoT fuel sensor verification. - Przemyslaw Glomb; Michal Cholewa; Pawel Foszner; Jakub Bularz (FedCSIS, 2023)

'Just One More Sensor is Enough' - Iterative Water Leak Localization with Physical Simulation and a Small Number of Pressure Sensors. - Michal Cholewa; Michal Romaszewski; Przemyslaw Glomb; Katarzyna Kolodziej; Michal Gorawski; Jakub Koral; Wojciech Koral; Andrzej Madej; Kryspin Musiol (CoRR, 2024)

Efficient Numerical Calibration of Water Delivery Network Using Short-Burst Hydrant Trials. - Katarzyna Kolodziej; Michal Cholewa; Przemyslaw Glomb; Wojciech Koral; Michal Romaszewski (CoRR, 2024)

Quantum-Aware Transformer Model for State Classification. - Przemyslaw Sekula; Michal Romaszewski; Przemyslaw Glomb; Michal Cholewa; Lukasz Pawela (ICCS (Workshops 5), 2025)

Through the Thicket: A Study of Number-Oriented LLMS Derived from Random Forest Models. - Michal Romaszewski; Przemyslaw Sekula; Przemyslaw Glomb; Michal Cholewa; Katarzyna Kolodziej (J. Artif. Intell. Soft Comput. Res., 2025)