%0 Thesis %D 2013 %G eng %I Instytut Informatyki Teoretycznej i Stosowanej PAN %T Czołowe funkcje kuliste jako baza do aproksymacji sygnałów o ograniczonym paśmie %0 Journal Article %B Pattern Recognition Letters %D 2012 %G eng %T Estimation of the number of states for gesture recognition with Hidden Markov Models based on the number of critical points in time sequence %0 Journal Article %B Advances in Intelligent and Soft Computing, 2011, Volume 95, Computer Recognition Systems 4, %D 2011 %G eng %P 365–373 %T Gesture data modeling and classification based on critical points approximation %V 95 %0 Book Section %B Inżynieria Internetu przyszłości część 2 %D 2013 %G eng %I Oficyna Wydawnicza PW %T Aplikacje Sieci Świadomej Treści %@ 978-83-7814-099-3 %& Aplikacje Sieci Świadomej Treści %0 Journal Article %B Przegląd telekomunikacyjny %D 2012 %G eng %P 1491–1502 %T Aplikacje sieci świadomej treści %0 Book Section %B Artificial Intelligence and Soft Computing %D 2015 %G eng %I Springer International Publishing %P 391-401 %R 10.1007/978-3-319-19369-4_35 %S Lecture Notes in Computer Science %T Experimental Evaluation of Selected Approaches to Covariance Matrix Regularization %V 9120 %@ 978-3-319-19368-7 %0 Edited Book %C Gliwice %D 2016 %G eng %I IITiS PAN %P 128 %T Rewolucja stanu - fantastyczne wprowadzenie do informatyki kwantowej %U https://depot.ceon.pl/handle/123456789/16807 %0 Journal Article %B ISPRS Journal of Photogrammetry and Remote Sensing %D 2016 %G eng %P 60 - 76 %R http://dx.doi.org/10.1016/j.isprsjprs.2016.08.011 %T Semi-supervised hyperspectral classification from a small number of training samples using a co-training approach %U http://www.sciencedirect.com/science/article/pii/S0924271616303446 %V 121 %0 Conference Paper %B Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM %D 2016 %G eng %R 10.5220/0005828103870391 %T Two Stage SVM Classification for Hyperspectral Data %@ 978-989-758-173-1 %0 Conference Paper %B Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP %D 2016 %G eng %R 10.5220/0005785001980203 %T Performance of Interest Point Descriptors on Hyperspectral Images %@ 978-989-758-175-5 %0 Journal Article %B Quantum Information Processing %D 2017 %G eng %P 101 %R 10.1007/s11128-017-1544-8 %T Quantum hidden Markov models based on transition operation matrices %U http://dx.doi.org/10.1007/s11128-017-1544-8 %V 16 %0 Journal Article %B Forensic Science International %D 2018 %G eng %R https://doi.org/10.1016/j.forsciint.2018.06.040 %T Application of hyperspectral imaging and Machine Learning methods for the detection of gunshot residue patterns %U http://www.sciencedirect.com/science/article/pii/S0379073818303657 %V 290 %8 07/2018 %& 227 %0 Conference Paper %B Computer and Information Sciences %D 2018 %G eng %I Springer International Publishing %T Adaptive, Hubness-Aware Nearest Neighbour Classifier with Application to Hyperspectral Data %@ 978-3-030-00840-6 %0 Journal Article %B IEEE Geoscience and Remote Sensing Letters %D 2019 %G eng %P 467-471 %R 10.1109/LGRS.2018.2868862 %T A Spatial-Spectral Disagreement-Based Sample Selection With an Application to Hyperspectral Data Classification %V 16 %8 March %0 Generic %B PP-RAI'2019 %C Wrocław, Poland %D 2019 %G eng %I Wroclaw University of Science and Technology %P p. 121 %T Band selection with Higher Order Multivariate Cumulants for small target detection in hyperspectral images %U https://arxiv.org/abs/1808.03513 %8 2019 %@ 978-83-943803-2-8 %0 Report %D 2016 %G eng %T Multi-sensor dataset for testing merge of Hyperspectral, HD and 3D cloud information for image recognition %0 Journal Article %B Sensors %D 2020 %G eng %N Recent Advances in Multi- and Hyperspectral Image Analysis %R https://doi.org/10.3390/s20226666 %T Blood Stain Classification with Hyperspectral Imaging and Deep Neural Networks %U https://www.mdpi.com/1424-8220/20/22/6666 %V 20 %8 11/2020 %0 Generic %D 2020 %G eng %R 10.5281/zenodo.3984905 %T A Dataset for Evaluating Blood Detection in Hyperspectral Images [Data set] %U https://doi.org/10.5281/zenodo.3984905 %0 Journal Article %B Forensic Science International %D 2021 %G eng %R https://doi.org/10.1016/j.forsciint.2021.110701 %T A dataset for evaluating blood detection in hyperspectral images %U https://arxiv.org/abs/2008.10254 %V 320 %0 Generic %B 21st International Conference on Image Analysis and Processing %C Lecce, Italy %D 2022 %G eng %I Springer, Cham %R 10.1007/978-3-031-06427-2_33 %T Improving Autoencoder Training Performance for Hyperspectral Unmixing with Network Reinitialisation %U https://arxiv.org/abs/2109.13748 %V 13231 %8 05/2022 %0 Journal Article %B Water Supply %D 2023 %G eng %N 6 %R 10.2166/ws.2023.118 %T Detection of emergent leaks using machine learning approaches %U https://doi.org/10.2166/ws.2023.118 %V 23 %8 05/2023 %& 2370 %0 Conference Paper %B Proceedings of the 18th Conference on Computer Science and Intelligence Systems, FedCSIS 2023, Warsaw, Poland, September 17-20, 2023 %D 2023 %G eng %R 10.15439/2023F1856 %T Continual learning of a time series model using a mixture of HMMs with application to the IoT fuel sensor verification %U https://doi.org/10.15439/2023F1856 %0 Journal Article %B arXiv preprint arXiv:2406.04926 %D 2024 %G eng %T Through the Thicket: A Study of Number-Oriented LLMs derived from Random Forest Models %U https://arxiv.org/abs/2406.04926 %8 06/2024 %0 Journal Article %B IEEE Sensors Journal %D 2024 %G eng %R 10.1109/JSEN.2024.3413889 %T ‘Just One More Sensor is Enough’ – Iterative Water Leak Localization with Physical Simulation and a Small Number of Pressure Sensors %8 06/2024 %0 Journal Article %B arXiv preprint arXiv:2410.02772 %D 2024 %G eng %R https://doi.org/10.48550/arXiv.2410.02772 %T Efficient Numerical Calibration of Water Delivery Network Using Short-Burst Hydrant Trials %U https://arxiv.org/abs/2410.02772 %8 09/2024 %0 Generic %B 5th Polish Conference on Artificial Intelligence (PP-RAI 2024) %D 2024 %G eng %T Calibration of Water Demand Network Through a Machine Learned Digital Twin Model %0 Journal Article %B Journal of Artificial Intelligence and Soft Computing Research %D 2025 %G eng %N 3 %R https://doi.org/10.2478/jaiscr-2025-0014 %T Through the Thicket: A Study of Number-Oriented LLMS Derived from Random Forest Models %V 15 %8 03/2025 %& 279 %0 Conference Paper %B International Conference on Computational Science 2025 %D 2025 %G eng %R 10.48550/arXiv.2502.21055 %T Quantum-aware Transformer model for state classification %U https://link.springer.com/chapter/10.1007/978-3-031-97570-7_15 %0 Journal Article %B Applied Sciences %D 2025 %G eng %N 4 %R https://doi.org/10.3390/app15042011 %T Move Over Law Compliance Analysis Utilizing a Deep Learning Computer Vision Approach %U https://www.mdpi.com/2076-3417/15/4/2011 %V 15 %0 Journal Article %B Applied Sciences %D 2025 %G eng %N 17 %R https://doi.org/10.3390/app15179754 %T Vehicle-to-Infrastructure System Prototype for Intersection Safety %U https://www.mdpi.com/2076-3417/15/17/9754 %V 15 %8 09/2025 %0 Journal Article %B PLOS Computational Biology %D 2025 %G eng %R 10.1371/journal.pcbi.1012983 %T Deep learning approach for automatic assessment of schizophrenia and bipolar disorder in patients using R-R intervals %V 21 %8 09/2025 %& 1 %0 Journal Article %B Bulletin of the Polish Academy of Sciences Technical Sciences %D 2025 %G eng %R 10.24425/bpasts.2025.155891 %T Data structure better than labels? Unsupervised heuristics for SVM hyperparameter estimation %0 Journal Article %B Journal of Water Resources Planning and Management - ASCE %D 2026 %G eng %N 4 %R 10.1061/JWRMD5.WRENG-6839 %T Efficient Numerical Calibration of Water Delivery Network Using Short-Burst Hydrant Trials %U https://doi.org/10.1061/JWRMD5.WRENG-6839 %V 152 %8 02/2026 %0 Journal Article %B Geoscience and Remote Sensing Letters %D 2026 %G eng %T Map-Guided Cross-Training for Building Detection