Analysis of fGn and http Requests Traces Using Localized Multiscale H Parameter Estimation. - Przemyslaw Glomb (SAINT Workshops, 2005)

Local Analysis of Stereo Image Pairs with Polynomial Series. - Przemyslaw Glomb (Computer Recognition Systems 2, 2008)

Image Coding with Contourlet/Wavelet Transforms and SPIHT Algorithm - An Experimental Study. - Slawomir Nowak; Przemyslaw Glomb (IMAGAPP, 2009)

Detection of Interest Points on 3D Data: Extending the Harris Operator. - Przemyslaw Glomb (Computer Recognition Systems 3, 2009)

3D Mesh Approximation Using Vector Quantization. - Michal Romaszewski; Przemyslaw Glomb (Computer Recognition Systems 3, 2009)

Virtual Museum as an Example of 3D Content Distribution in the Architecture of a Future Internet. - Arkadiusz Sochan; Przemyslaw Glomb; Krzysztof Skabek; Michal Romaszewski; Sebastian Opozda (CN, 2011)

Choosing and Modeling the Hand Gesture Database for a Natural User Interface. - Przemyslaw Glomb; Michal Romaszewski; Sebastian Opozda; Arkadiusz Sochan (Gesture Workshop, 2011)

Eigengestures for Natural Human Computer Interface. - Piotr Gawron; Przemyslaw Glomb; Jaroslaw Adam Miszczak; Zbigniew Puchala (ICMMI, 2011)

Unsupervised Parameter Selection for Gesture Recognition with Vector Quantization and Hidden Markov Models. - Przemyslaw Glomb; Michal Romaszewski; Arkadiusz Sochan; Sebastian Opozda (INTERACT (4), 2011)

Towards a natural gesture interface: LDA-based gesture separability - Michal Romaszewski; Piotr Gawron; Przemyslaw Glomb (CoRR, 2011)

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)

The Effect of Multiple Training Sequences on HMM Classification of Motion Capture Gesture Data. - Michal Romaszewski; Przemyslaw Glomb (Computer Recognition Systems 4, 2011)

Do We Need Complex Models for Gestures? A Comparison of Data Representation and Preprocessing Methods for Hand Gesture Recognition. - Marcin Blachnik; Przemyslaw Glomb (ICAISC (1), 2012)

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)

Surface Mixture Models for the Optimization of Object Boundary Representation. - Przemyslaw Glomb; Arkadiusz Sochan (ICAISC (1), 2014)

Natural hand gestures for human identification in a Human-Computer Interface. - Michal Romaszewski; Przemyslaw Glomb; Piotr Gawron (IPTA, 2014)

Improving the quality of mesh simplification with texture saliency measurement. - Przemyslaw Sporysz; Przemyslaw Glomb (IPTA, 2014)

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

Parameter Estimation for HOSVD-based Approximation of Temporally Coherent Mesh Sequences. - Michal Romaszewski; Przemyslaw Glomb (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)

Effective transfer learning for hyperspectral image classification with deep convolutional neural networks. - Wojciech Masarczyk; Przemyslaw Glomb; Bartosz Grabowski; Mateusz Ostaszewski (CoRR, 2019)

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)

Effective Training of Deep Convolutional Neural Networks for Hyperspectral Image Classification through Artificial Labeling. - Wojciech Masarczyk; Przemyslaw Glomb; Bartosz Grabowski; Mateusz Ostaszewski (Remote. Sens., 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 Autoencoders Performance for Hyperspectral Unmixing Using Clustering. - Bartosz Grabowski; Przemyslaw Glomb; Kamil Ksiazek; Krisztián Búza (ACIIDS (Companion), 2022)

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)

Classification and Self-Supervised Regression of Arrhythmic ECG Signals Using Convolutional Neural Networks. - Bartosz Grabowski; Przemyslaw Glomb; Wojciech Masarczyk; Pawel Plawiak; Özal Yildirim; U. Rajendra Acharya; Ru-San Tan (CoRR, 2022)

Energy-Aware Algorithm for Assignment of Relays in LP WAN. - Krzysztof Grochla; Anna Strzoda; Rafal Marjasz; Przemyslaw Glomb; Kamil Ksiazek; Zbigniew Laskarzewski (ACM Trans. Sens. Networks, 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)

Hyper-Spectral Image Classification Using Adiabatic Quantum Computation. - Bartlomiej Gardas; Przemyslaw Glomb; Przemyslaw Sadowski; Zbigniew Puchala; Konrad Jalowiecki; Lukasz Pawela; Orphee Faucoz; Pierre-Marie Brunet; Piotr Gawron; Matthijs van Waveren; Mickael Savinaud; Guillaume Pasero; et al. (IGARSS, 2023)

A Simple and Effective Classifier for the Detection of Schizophrenia and Bipolar Disorder based on Heart Rate Variability Time Series. - Krisztián Búza; Kamil Ksiazek; Wilhelm Masarczyk; Przemyslaw Glomb; Piotr Gorczyca; Magdalena Piegza (ITAT, 2023)

Link failure prediction in LoRa networks. - Anna Strzoda; Krzysztof Grochla; Przemyslaw Glomb; Andrzej Madej (IWCMC, 2023)

What Could be Achieved with a Million Qubits Quantum Annealer in Remote Sensing? - Piotr Gawron; Przemyslaw Sadowski; Przemyslaw Glomb; Bartlomiej Gardas; Matthijs van Waveren; Clément Forray; Guillaume Pasero; Mickaël Savinaud; Pierre-Marie Brunet; Orphee Faucoz; Zbigniew Puchala; Lukasz Pawela (IGARSS, 2024)

Assessment of symptom severity in psychotic disorder patients based on heart rate variability and accelerometer mobility data. - Kamil Ksiazek; Wilhelm Masarczyk; Przemyslaw Glomb; Michal Romaszewski; Iga Stoklosa; Piotr Scislo; Pawel Debski; Robert Pudlo; Krisztián Búza; Piotr Gorczyca; Magdalena Piegza (Comput. Biol. Medicine, 2024)

'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)