Przemyslaw Glomb

51 papers B 1C 4Misc 1Journal 22Unranked 18

Year	Rank	Type	Title / 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`	Assessment of symptom severity in psychotic disorder patients based on heart rate variability and accelerometer mobility data. Comput. Biol. Medicine Kamil Ksiazek, Wilhelm Masarczyk, Przemyslaw Glomb, Michal Romaszewski, Iga Stoklosa, Piotr Scislo, Pawel Debski, Robert Pudlo, Krisztián Búza, Piotr Gorczyca, Magdalena Piegza
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
2024	C	`conf`	What Could be Achieved with a Million Qubits Quantum Annealer in Remote Sensing? IGARSS 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
2023	—	`conf`	A Simple and Effective Classifier for the Detection of Schizophrenia and Bipolar Disorder based on Heart Rate Variability Time Series. ITAT Krisztián Búza, Kamil Ksiazek, Wilhelm Masarczyk, Przemyslaw Glomb, Piotr Gorczyca, Magdalena Piegza
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
2023	C	`conf`	Hyper-Spectral Image Classification Using Adiabatic Quantum Computation. IGARSS 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, Véronique Defonte
2023	B	`conf`	Link failure prediction in LoRa networks. IWCMC Anna Strzoda, Krzysztof Grochla, Przemyslaw Glomb, Andrzej Madej
2022	J	`jnl`	Classification and Self-Supervised Regression of Arrhythmic ECG Signals Using Convolutional Neural Networks. CoRR Bartosz Grabowski, Przemyslaw Glomb, Wojciech Masarczyk, Pawel Plawiak, Özal Yildirim, U. Rajendra Acharya, Ru-San Tan
2022	J	`jnl`	Energy-Aware Algorithm for Assignment of Relays in LP WAN. ACM Trans. Sens. Networks Krzysztof Grochla, Anna Strzoda, Rafal Marjasz, Przemyslaw Glomb, Kamil Ksiazek, Zbigniew Laskarzewski
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
2022	—	`conf`	Improving Autoencoders Performance for Hyperspectral Unmixing Using Clustering. ACIIDS (Companion) Bartosz Grabowski, Przemyslaw Glomb, Kamil Ksiazek, 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
2020	J	`jnl`	Effective Training of Deep Convolutional Neural Networks for Hyperspectral Image Classification through Artificial Labeling. Remote. Sens. Wojciech Masarczyk, Przemyslaw Glomb, Bartosz Grabowski, Mateusz Ostaszewski
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
2019	J	`jnl`	Effective transfer learning for hyperspectral image classification with deep convolutional neural networks. CoRR Wojciech Masarczyk, Przemyslaw Glomb, Bartosz Grabowski, Mateusz Ostaszewski
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`	Parameter Estimation for HOSVD-based Approximation of Temporally Coherent Mesh Sequences. VISIGRAPP (3: VISAPP) Michal Romaszewski, Przemyslaw Glomb
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
2014	—	`conf`	Improving the quality of mesh simplification with texture saliency measurement. IPTA Przemyslaw Sporysz, Przemyslaw Glomb
2014	—	`conf`	Natural hand gestures for human identification in a Human-Computer Interface. IPTA Michal Romaszewski, Przemyslaw Glomb, Piotr Gawron
2014	—	`conf`	Surface Mixture Models for the Optimization of Object Boundary Representation. ICAISC (1) Przemyslaw Glomb, Arkadiusz Sochan
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
2012	—	`conf`	Do We Need Complex Models for Gestures? A Comparison of Data Representation and Preprocessing Methods for Hand Gesture Recognition. ICAISC (1) Marcin Blachnik, Przemyslaw Glomb
2011	—	`conf`	Choosing and Modeling the Hand Gesture Database for a Natural User Interface. Gesture Workshop Przemyslaw Glomb, Michal Romaszewski, Sebastian Opozda, Arkadiusz Sochan
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	—	`conf`	Eigengestures for Natural Human Computer Interface. ICMMI Piotr Gawron, Przemyslaw Glomb, Jaroslaw Adam Miszczak, Zbigniew Puchala
2011	J	`jnl`	Eigengestures for natural human computer interface CoRR Piotr Gawron, Przemyslaw Glomb, Jaroslaw Adam Miszczak, Zbigniew Puchala
2011	—	`ch.`	Gesture Data Modeling and Classification Based on Critical Points Approximation. Computer Recognition Systems 4 Michal Cholewa, Przemyslaw Glomb
2011	—	`ch.`	The Effect of Multiple Training Sequences on HMM Classification of Motion Capture Gesture Data. Computer Recognition Systems 4 Michal Romaszewski, Przemyslaw Glomb
2011	J	`jnl`	Towards a natural gesture interface: LDA-based gesture separability CoRR Michal Romaszewski, Piotr Gawron, Przemyslaw Glomb
2011	—	`conf`	Unsupervised Parameter Selection for Gesture Recognition with Vector Quantization and Hidden Markov Models. INTERACT (4) Przemyslaw Glomb, Michal Romaszewski, Arkadiusz Sochan, Sebastian Opozda
2011	—	`conf`	Virtual Museum as an Example of 3D Content Distribution in the Architecture of a Future Internet. CN Arkadiusz Sochan, Przemyslaw Glomb, Krzysztof Skabek, Michal Romaszewski, Sebastian Opozda
2009	—	`ch.`	3D Mesh Approximation Using Vector Quantization. Computer Recognition Systems 3 Michal Romaszewski, Przemyslaw Glomb
2009	—	`ch.`	Detection of Interest Points on 3D Data: Extending the Harris Operator. Computer Recognition Systems 3 Przemyslaw Glomb
2009	—	`conf`	Image Coding with Contourlet/Wavelet Transforms and SPIHT Algorithm - An Experimental Study. IMAGAPP Slawomir Nowak, Przemyslaw Glomb
2008	—	`ch.`	Local Analysis of Stereo Image Pairs with Polynomial Series. Computer Recognition Systems 2 Przemyslaw Glomb
2005	—	`conf`	Analysis of fGn and http Requests Traces Using Localized Multiscale H Parameter Estimation. SAINT Workshops Przemyslaw Glomb