Przemysław Głomb
2023
- Książek K.; Masarczyk W.; Głomb P.; Romaszewski M.; Stokłosa I.; Ścisło P.; Dębski P.; Pudlo R.; Buza K.; Gorczyca P.; Piegza M.; The analysis of heart rate variability and accelerometer mobility data in the assessment of symptom severity in psychotic disorder patients using a wearable Polar H10 sensor; medXriv; 2023
- Głomb P.; Cholewa M.; Koral W.; Madej A.; Romaszewski M.; Detection of emergent leaks using machine learning approaches; Water Supply; 2023
- Strzoda A.; Grochla K.; Głomb P.; Madej A.; Link failure prediction in LoRa networks; International Wireless Communications and Mobile Computing Conference, IWCMC; 2023
2022
- Grabowski B.; Głomb P.; Książek K.; Buza K.; Improving Autoencoders Performance for Hyperspectral Unmixing Using Clustering; Asian Conference on Intelligent Information and Database Systems; 2022
- Grochla K.; Strzoda A.; Marjasz R.; Głomb P.; Książek K.; Łaskarzewski Z.; Energy-Aware Algorithm for Assignment of Relays in LPWAN; Transactions on Sensor Networks; 2022
- Książek K.; Głomb P.; Romaszewski M.; Cholewa M.; Grabowski B.; Buza K.; Improving Autoencoder Training Performance for Hyperspectral Unmixing with Network Reinitialisation; 21st International Conference on Image Analysis and Processing; 2022
2021
- Romaszewski M.; Głomb P.; Sochan A.; Cholewa M.; A dataset for evaluating blood detection in hyperspectral images; Forensic Science International; 2021
2020
- Głomb P.; Romaszewski M.; Anomaly detection in hyperspectral remote sensing images; Hyperspectral Remote Sensing: Theory & Applications; 2020
2019
- Cholewa M.; Głomb P.; Romaszewski M.; A Spatial-Spectral Disagreement-Based Sample Selection With an Application to Hyperspectral Data Classification; IEEE Geoscience and Remote Sensing Letters; 2019
2018
- Grabowski B.; Masarczyk W.; Głomb P.; Mendys A.; Automatic pigment identification from hyperspectral data; Journal of Cultural Heritage; 2018
- Romaszewski M.; Głomb P.; Cholewa M.; Adaptive, Hubness-Aware Nearest Neighbour Classifier with Application to Hyperspectral Data; Computer and Information Sciences; 2018
- Głomb P.; Romaszewski M.; Cholewa M.; Domino K.; Application of hyperspectral imaging and Machine Learning methods for the detection of gunshot residue patterns; Forensic Science International; 2018
2017
- Cholewa M.; Gawron P.; Głomb P.; Kurzyk D.; Quantum hidden Markov models based on transition operation matrices; Quantum Information Processing; 2017
2016
- Głomb P.; Cholewa M.; Performance of Interest Point Descriptors on Hyperspectral Images; Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP; 2016
- Cholewa M.; Głomb P.; Two Stage SVM Classification for Hyperspectral Data; Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM; 2016
- Romaszewski M.; Głomb P.; Cholewa M.; Semi-supervised hyperspectral classification from a small number of training samples using a co-training approach; ISPRS Journal of Photogrammetry and Remote Sensing; 2016
- Romaszewski M.; Głomb P.; Parameter Estimation for HOSVD-based Approximation of Temporally Coherent Mesh Sequences; Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications; 2016
2015
- Głomb P.; Cholewa M.; Rutkowski L.; Korytkowski M.; Scherer R.; Tadeusiewicz R.; Zadeh L.; Zurada J.; Experimental Evaluation of Selected Approaches to Covariance Matrix Regularization; Artificial Intelligence and Soft Computing; 2015
- Domino K.; Głomb P.; Łaskarzewski Z.; Classification of LPG clients using the Hurst exponent and the correlation coeficient; Theoretical and Applied Informatics; 2015
2014
- Romaszewski M.; Głomb P.; Gawron P.; Djemal K.; Natural hand gestures for human identification in a Human-Computer Interface; Image Processing Theory Tools and Applications (IPTA), 2014 4th International Conference on; 2014