Zespół Uczenia Maszynowego


Członkowie zespołu: 



Grabowski B, Głomb P, Książek K, Buza K.  2022.   Improving Autoencoders Performance for Hyperspectral Unmixing Using Clustering. Asian Conference on Intelligent Information and Database Systems. 1716


Książek K, Grochla K.  2021.  Flexibility Analysis of Adaptive Data Rate Algorithm in LoRa Networks. IEEE IWCMC 2021 - 17th Int. Wireless Communications & Mobile Computing Conference.
Zhang L, Pan Y, Wu X, Skibniewski MJ.  2021.  Artificial Intelligence in Construction Engineering and Management. Lecture Notes in Civil Engineering. 163:XI,263.
Żelasko D, Pławiak P.  2021.  Ensemble learning techniques for transmission quality classification in Pay&Require multi-layer network. International Journal of Applied Mathematics and Computer Science. 31(1) (1.01 MB)
Tuncer T, Dogan S, Naik G, Pławiak P.  2021.  Epilepsy attacks recognition based on 1D octal pattern, wavelet transform and EEG signals. Springer, Multimedia Tools and Applications .  (1.58 MB)
Grabowski B, Ziaja M, Kawulok M, Nalepa J.  2021.  Towards Robust Cloud Detection in Satellite Images Using U-Nets. 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS.
Hu M, Skibniewski MJ.  2021.  Green Building Construction Cost Surcharge: An Overview. Journal of Architectural Engineering. 27
Besklubova S, Skibniewski MJ, Zhang X.  2021.  Factors Affecting 3D Printing Technology Adaptation in Construction. Journal of Construction Engineering and Management. 147
Żarski M, Wójcik B, Książek K, Salamak M, Miszczak J.  2021.  Advances in applicable deep-learning based defect detection. 2nd Workshop on Engineering Optimization – WEO 2021.  (377.77 KB)
Książek K, Buza K.  2021.  A hybrid CNN-SVM approach with dynamic time warping for time series classification. 8th International Conference on Mathematics and Informatics.


Głomb P, Romaszewski M.  2020.  Anomaly detection in hyperspectral remote sensing images. Hyperspectral Remote Sensing: Theory & Applications.
Tuncer T, Ertam F, Dogan S, Aydemir E, Pławiak P.  2020.  Ensemble residual network-based gender and activity recognition method with signals. Journal of Supercomputing. 76(2020):2119–2138. (2.74 MB)
Pan Y, Zhang L, Skibniewski MJ.  2020.  Clustering of designers based on building information modeling event logs. Computer-Aided Civil and Infrastructure Engineering. 35(7)
Żelasko D, Pławiak P, Kołodziej J.  2020.  Machine learning techniques for transmission parameters classification in multi-agent managed network. 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID).  (877.3 KB)
Tuncer T, Dogan S, Abdar M, Pławiak P.  2020.  A novel facial image recognition method based on perceptual hash using quintet triple binary pattern. Multimedia Tools and Applications. 79(39):29573-29593. (1.69 MB)
Książek K, Romaszewski M, Głomb P, Grabowski B, Cholewa M.  2020.  Blood Stain Classification with Hyperspectral Imaging and Deep Neural Networks. Sensors. 20(Recent Advances in Multi- and Hyperspectral Image Analysis)
Zhang L, Yuan J, Xia N, Ning Y, Ma J, Skibniewski MJ.  2020.  Measuring value-added-oriented BIM climate in construction projects: dimensions and indicators. Journal of Civil Engineering and Management. 26:800–818. (1.01 MB)


Zhou C, Chen R, Jiang S, Zhou Y, Ding L, Skibniewski MJ, Lin X.  2019.  Human dynamics in near-miss accidents resulting from unsafe behavior of construction workers. Physica A: Statistical Mechanics and its Applications. 530:121495.
Pan Y, Zhang L, Wu X, Qin W, Skibniewski MJ.  2019.  Modeling face reliability in tunneling: A copula approach. Computers and Geotechnics. 109:272–286.
Guo S, Ding L, Zhang Y, Skibniewski MJ, Liang K.  2019.  Hybrid recommendation approach for behavior modification in the Chinese construction industry. Journal of Construction Engineering and Management. 145:04019035.
Zhang L, Wu X, Liu W, Skibniewski MJ.  2019.  Optimal Strategy to Mitigate Tunnel-Induced Settlement in Soft Soils: Simulation Approach. Journal of Performance of Constructed Facilities. 33:04019058.




Romaszewski M, Głomb P.  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.
Zhang L, Wu X, Ding L, Skibniewski MJ, Lu Y.  2016.  Bim-Based Risk Identification System in tunnel construction. Journal of Civil Engineering and Management. 22:529-539.
Cholewa M, Głomb P.  2016.  Two Stage SVM Classification for Hyperspectral Data. Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM.
Głomb P, Cholewa M.  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.


Głomb P, Cholewa M.  2015.  Experimental Evaluation of Selected Approaches to Covariance Matrix Regularization. Artificial Intelligence and Soft Computing. 9120:391-401.
Wu XG, Wang YH, Zhang LM, Ding LY, Skibniewski MJ, Zhong JB.  2015.  A Dynamic Decision Approach for Risk Analysis in Complex Projects. Journal of Intelligent & Robotic Systems. 79(3-4):591-601.


Romaszewski M, Gawron P, Opozda S.  2014.  Dimensionality reduction of dynamic animations using HO-SVD. Lecture Notes in Artificial Intelligence. 8467:757–768.
Głomb P, Sochan A.  2014.  Surface Mixture Models for the Optimization of Object Boundary Representation. Artificial Intelligence and Soft Computing, Lecture Notes in Computer Science 8467. :703–714.
Romaszewski M, Głomb P, Gawron P.  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.
Zhang L., Wu X., Skibniewski MJ, Zhong J., Lu Y..  2014.  Bayesian-network-based safety risk analysis in construction project. Reliability Engineering and System Safety. 131:29–39.
Ghosh S., Lauren B., Skibniewski MJ, Sam N., Hoon K.J..  2014.  Organizational governance to integrate sustainability project: a case study.. Technological and Economic Development of Economy. 20:1–24.


Romaszewski M, Gawron P, Opozda S.  2013.  Dimensionality Reduction of Dynamic Mesh Animations Using HO-SVD. Journal of Artificial Intelligence and Soft Computing Research. 3:277–289.


Blachnik M., Głomb P.  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.
Głomb P, Romaszewski M, Opozda S, Sochan A.  2012.  Choosing and Modeling the Hand Gesture Database for a Natural User Interface. Gesture and Sign Language in Human-Computer Interaction and Embodied Communication.


Sochan A, Głomb P, Skabek K, Romaszewski M, Opozda S.  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.
Gawron P, Głomb P, Miszczak J, Puchała Z.  2011.  Eigengestures for natural human computer interface. Man-Machine Interactions 2. :49–56.
Cholewa M, Głomb P.  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.
Głomb P, Romaszewski M, Opozda S, Sochan A.  2011.  Choosing and modeling hand gesture database for natural user interface. GW 2011: the 9th International Gesture in Embodied Communication and Human-Computer InteractionWorkshop.
Głomb P, Romaszewski M, Sochan A, Opozda S.  2011.  Unsupervised Parameter Selection for Gesture Recognition with Vector Quantization and Hidden Markov Models. Lecture Notes in Computer Science, Human-Computer Interaction – INTERACT. 6949


Romaszewski M, Opozda S.  2010.  Optimization of a Vector Quantizer's Quality for 3D Mesh Applications. Theoretical and Applied Informatics. 22:131–140.


Romaszewski M, Głomb P.  2009.  3D Mesh Approximation Using Vector Quantization. Advances in Soft Computing. 57/2009:71–78.
Romaszewski M, Opozda S, Głomb P.  2009.  3D Mesh Identification Using Random Walks and Hidden Markov Models. Image Processing & Communications Challenges. :302–308.
Domańska J, Głomb P, Kowalski P, Nowak S.  2009.  Modeling of Internet 3D Traffic Using Hidden Markov Models. Advances in Intelligent and Soft Computing. 64
Głomb P, Nowak S.  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..
Głomb P.  2009.  Detection of interest points on 3D data: extending the Harris operator. 6th International Conference on Computer Recognition Systems.


Grochla K, Sochan A, Głomb P.  2008.  Transmission of scalable video streams. Proceedings from the 4th Euro-NGI Workshop on New trends in network architectures and services.


Głomb P.  2007.  Image Language Terminal Symbols from Feature Analysis. IEEE International Workshop on Imaging Systems and Techniques – IST.



Głomb P, Grochla K.  2005.  Modeling Connection State with Kernel PCA. 2nd EuroNGI Workshop on New Trends in Modeling, Quantitative Methods and Measurements.