Group leader:
Group members:
2024
Assessment of symptom severity in psychotic disorder patients based on heart rate variability and accelerometer mobility data. Computers in Biology and Medicine. 176 .
2024.
Through the Thicket: A Study of Number-Oriented LLMs derived from Random Forest Models. arXiv preprint arXiv:2406.04926. .
2024.
Efficient Numerical Calibration of Water Delivery Network Using Short-Burst Hydrant Trials. arXiv preprint arXiv:2410.02772. .
2024.
What Could be Achieved with a Million Qubits Quantum Annealer in Remote Sensing? IGARSS 2024-2024 IEEE International Geoscience and Remote Sensing Symposium. .
2024.
Calibration of Water Demand Network Through a Machine Learned Digital Twin Model. 5th Polish Conference on Artificial Intelligence (PP-RAI 2024). .
2024.
AI for the Rescue: Tackling Challenges in Polish Waste Management System. XII International Conference Environmental Protection and Energy (EPAE 2024). .
2024.
2023
Link failure prediction in LoRa networks. International Wireless Communications and Mobile Computing Conference, IWCMC. .
2023.
Detection of emergent leaks using machine learning approaches. Water Supply. 23(6) .
2023.
Hyperspectral Imaging as a Facile and Non-Destructive Method for Size Analysis of Gold Nanoparticles Deposited on Porous Materials. Particle & Particle Systems Characterization. .
2023.
A Simple and Effective Classifier for the Detection of Psychotic Disorders based on Heart Rate Variability Time Series. Information Technologies – Applications and Theory 2023. 3498 .
2023.
Hyper-Spectral Image Classification Using Adiabatic Quantum Computation. IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium. .
2023.
Machine Learning for Water Leak Detection and Localization in the WaterPrime Project. Wojciechowski A.(Ed.), Lipiński P.(Ed.)., Progress in Polish Artificial Intelligence Research 4, Seria: Monografie Politechniki Łódzkiej Nr. 2437, Wydawnictwo Politechniki Łódzkiej, Łódź 2023, ISBN 978-83-66741-92-8, doi: 10.34658/9788366741928.. .
2023.
Continual learning of a time series model using a mixture of HMMs with application to the IoT fuel sensor verification. Proceedings of the 18th Conference on Computer Science and Intelligence Systems, FedCSIS 2023, Warsaw, Poland, September 17-20, 2023. .
2023.
2022
Improving Autoencoder Training Performance for Hyperspectral Unmixing with Network Reinitialisation. 21st International Conference on Image Analysis and Processing. 13231 .
2022.
Energy-Aware Algorithm for Assignment of Relays in LPWAN. Transactions on Sensor Networks. 18(4) .
2022.
Improving Autoencoders Performance for Hyperspectral Unmixing Using Clustering. Asian Conference on Intelligent Information and Database Systems. 1716 .
2022.
2021
A dataset for evaluating blood detection in hyperspectral images. Forensic Science International. 320 .
2021.
2020
Effective Training of Deep Convolutional Neural Networks for Hyperspectral Image Classification through Artificial Labeling. Remote Sensing. 12(16) .
2020.
Anomaly detection in hyperspectral remote sensing images. Hyperspectral Remote Sensing: Theory & Applications. .
2020.
Blood Stain Classification with Hyperspectral Imaging and Deep Neural Networks. Sensors. 20(Recent Advances in Multi- and Hyperspectral Image Analysis) .
2020.
2019
A Spatial-Spectral Disagreement-Based Sample Selection With an Application to Hyperspectral Data Classification. IEEE Geoscience and Remote Sensing Letters. 16:467-471. .
2019.
Band selection with Higher Order Multivariate Cumulants for small target detection in hyperspectral images. PP-RAI'2019. :p.121. .
2019.
Unsupervised deep learning approach to hyperspectral anomaly detection. PP-RAI'2019. .
2019.
2018
Application of hyperspectral imaging and Machine Learning methods for the detection of gunshot residue patterns. Forensic Science International. 290 .
2018.
Adaptive, Hubness-Aware Nearest Neighbour Classifier with Application to Hyperspectral Data. Computer and Information Sciences. .
2018.
Automatic pigment identification from hyperspectral data. Journal of Cultural Heritage. 31:1-12. .
2018.
2017
Quantum hidden Markov models based on transition operation matrices. Quantum Information Processing. 16:101. .
2017.
2016
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.
Semi-supervised hyperspectral classification from a small number of training samples using a co-training approach. ISPRS Journal of Photogrammetry and Remote Sensing. 121:60-76. .
2016.
Two Stage SVM Classification for Hyperspectral Data. Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM. .
2016.
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.
2015
Classification of LPG clients using the Hurst exponent and the correlation coeficient. Theoretical and Applied Informatics. 27(1):13–24. .
2015.
Experimental Evaluation of Selected Approaches to Covariance Matrix Regularization. Artificial Intelligence and Soft Computing. 9120:391-401. .
2015.
2014
Surface Mixture Models for the Optimization of Object Boundary Representation. Artificial Intelligence and Soft Computing, Lecture Notes in Computer Science 8467. :703–714. .
2014.
Natural hand gestures for human identification in a Human-Computer Interface. Image Processing Theory Tools and Applications (IPTA), 2014 4th International Conference on. :404–409. .
2014.
2013
Aplikacje Sieci Świadomej Treści. Inżynieria Internetu przyszłości część 2. .
2013.
2012
Do we need complex models for gestures? A comparison of data representation and preprocessing methods for hand gesture recognition Artificial Intelligence and Soft Computing Lecture Notes in Computer Science 7267. :477–485. .
2012.
Aplikacje sieci świadomej treści. Przegląd telekomunikacyjny. :1491–1502. .
2012.
Estimation of the number of states for gesture recognition with Hidden Markov Models based on the number of critical points in time sequence. Pattern Recognition Letters. .
2012.
Choosing and Modeling the Hand Gesture Database for a Natural User Interface. Gesture and Sign Language in Human-Computer Interaction and Embodied Communication. .
2012.
2011
The Effect of Multiple Training Sequences on HMM Classification of Motion Capture Gesture Data. Computer Recognition Systems. 4:365–373. .
2011.
Virtual Museum as an Example of 3D Content Distribution in the Architecture of a Future Internet. Computer Networks 2011. Communications in Computer and Information Science 160.. :459–464. .
2011.
Eigengestures for natural human computer interface. Man-Machine Interactions 2. :49–56. .
2011.
Gesture data modeling and classification based on critical points approximation. Advances in Intelligent and Soft Computing, 2011, Volume 95, Computer Recognition Systems 4,. 95:365–373. .
2011.
Choosing and modeling hand gesture database for natural user interface. GW 2011: the 9th International Gesture in Embodied Communication and Human-Computer InteractionWorkshop. .
2011.
Unsupervised Parameter Selection for Gesture Recognition with Vector Quantization and Hidden Markov Models. Lecture Notes in Computer Science, Human-Computer Interaction – INTERACT. 6949 .
2011.
2010
Progressive 3D meshes transmission: traffic generating and simulation evaluation. Theoretical and Applied Informatics. 22:247–259. .
2010.
2009
3D Mesh Approximation Using Vector Quantization. Advances in Soft Computing. 57/2009:71–78. .
2009.
3D Mesh Identification Using Random Walks and Hidden Markov Models. Image Processing & Communications Challenges. :302–308. .
2009.
Modeling of Internet 3D Traffic Using Hidden Markov Models. Advances in Intelligent and Soft Computing. 64 .
2009.
IMAGE CODING WITH CONTOURLET / WAVELET TRANSFORMS AND SPIHT ALGORITHM:AN EXPERIMENTAL STUDY. proc. of IMAGAPP 2009, International Conference on Imaging Theory and Applications, Lisboa, Portugal, 2009.. .
2009.
Detection of interest points on 3D data: extending the Harris operator. 6th International Conference on Computer Recognition Systems. .
2009.
Interaktywna kinezyterapia dzieci z płaskostopiem. Aktualne Problemy Biomechaniki. :211–214. .
2009.
Laboratory for the exploration of virtual 3D environments. Annual Report 2009. :57–59. .
2009.
2008
Transmission of scalable video streams. Proceedings from the 4th Euro-NGI Workshop on New trends in network architectures and services. .
2008.
Experimental rate distortion analysis of image coder with contourlet transform and SPIHT algorithm. Theoretical and Applied Informatics. .
2008.
2007
Context selection for efficient bit modeling of contourlet transform coefficients. Theoretical and Applied Informatics. 19:135–146. .
2007.
Image Language Terminal Symbols from Feature Analysis. IEEE International Workshop on Imaging Systems and Techniques – IST. .
2007.
Computer Recognition Systems 2. .
2007.
2006
2005
Analysis of fGn and http requests traces using localized multiscale H parameter estimation. Symposium on Applications & The Internet. .
2005.
Modeling Connection State with Kernel PCA. 2nd EuroNGI Workshop on New Trends in Modeling, Quantitative Methods and Measurements. .
2005.
2004
2002
Kształtowanie ruchu w routerach pracujących w systemie Linux. Studia Informatica. 23 .
2002.
Modelowanie stacji roboczych w sieci ATM przy użyciu symulatora OMNeT++. Studia Informatica. 23 .
2002.