prof. dr hab. Jacek Tabor dr hab. Igor T. Podolak dr Jarek Duda dr Krzysztof Misztal dr hab. Adam Roman dr Marek Śmieja dr Marcin Żelawski dr Bartosz Zieliński dr Łukasz Struski
mgr Stanisław Jastrzębski mgr Damian Leśniak mgr Agnieszka Pocha mgr Igor Sieradzki mgr Magdalena Wiercioch mgr Konrad Żołna mgr Jakub Chłędowski mgr Łukasz Maziarka mgr Krzysztof Galias mgr Michał Pietruszka mgr Michał Zając mgr Tomasz Danel mgr Krzysztof Rajda mgr Maciej Szymczak

2018

Przemysław Spurek, Łukasz Struski, Jacek Tabor Lossy Compression Approach to Subspace Clustering, INFORM SCIENCES vol. 435 (2018), 161-183
Przemysław Spurek, Łukasz Struski, Marek Śmieja, Jacek Tabor, Bartosz Zieliński Processing of missing data by neural networks, ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS (NIPS) (2018),
Przemysław Spurek, Łukasz Struski, Marek Śmieja, Jacek Tabor Fast independent component analysis algorithm with a simple closed-form solution, KNOWL-BASED SYST vol. 161 (2018), 26-34
Ł Maziarka, M Śmieja, A Nowak, J Tabor, Ł Struski, P Spurek, Deep processing of structured data, arXiv preprint arXiv:1810.01868 (2018)
B Zieliński, Ł Struski, M Śmieja, J Tabor, Cascade context encoder for improved inpainting, arXiv preprint arXiv:1803.04033 (2018)

2017

Marek Śmieja, Magdalena Wiercioch Constrained clustering with a complex cluster structure, ADV DATA ANAL CLASSI vol. 11/3 (2017), 493-518
Ł Struski, M Śmieja, J Tabor, Pointed subspace approach to incomplete data, arXiv preprint arXiv:1705.00840 (2017)
Magdalena Wiercioch Towards Learning Word Representation, SCHEDAE INFORMATICAE vol. 25 (2017), 103–115
Magdalena Wiercioch Feature Selection in Texts, PROCEEDINGS OF THE 10TH INTERNATIONAL CONFERENCE ON COMPUTER RECOGNITION SYSTEMS CORES 2017 vol. 578. Advances in Intelligent Systems and Computing (2017), 336-345
Łukasz Struski, Jacek Tabor Expansivity implies existence of Holder continuous Lyapunov function, DISCRETE CONT DYN-B vol. 22 (9) (2017), 3575-3589
Łukasz Struski, Marek Śmieja, Jacek Tabor, Bartosz Zieliński Regression SVM for incomplete data, SCHEDAE INFORMATICAE (2017),

2016

Łukasz Struski, Marek Śmieja, Jacek Tabor Semi-supervised model-based clustering with controlled clusters leakage, EXPERT SYST APPL vol. 85 (2016), 146-157
L Struski, M Smieja, J Tabor, Incomplete data representation for SVM classification, arXiv preprint arXiv:1612.01480 (2016)
Ł Struski, M Śmieja, J Tabor, Generalized RBF kernel for incomplete data, arXiv preprint arXiv:1612.01480 (2016)

2015

Marek Śmieja, Jacek Tabor, Magdalena Wiercioch Probability Index of Metric Correspondence as a measure of visualization reliability, PROCEEDINGS OF ECML PKDD WORKSHOP ON MACHINE LEARNING IN LIFE SCIENCES (2015), 16-27
Marek Śmieja, Magdalena Wiercioch Mixture of metrics optimization for machine learning problems, SCHEDAE INFORMATICAE vol. 24 (2015), 133-142
Przemysław Spurek, Łukasz Struski, Jacek Tabor Subspace memory clustering, SCHEDAE INFORMATICAE vol. 24 (2015), 133-142

2014

Łukasz Struski, Jacek Tabor Expansivity and Cone-fields in Metric Spaces, J DYN DIFFER EQU vol. 26(3) (2014), 517-527

2012

Tomasz Kulaga, Łukasz Struski, Jacek Tabor Cone-Fields without Constant Orbit Core Dimension, DISCRETE CONT DYN-A vol. 32(10) (2012), 3651-3664

Contact Us

Igor Podolak, PhD
Group of Machine Learning Research
Faculty of Mathematics and Computer Science
ul. Lojasiewicza 6
30-342, Cracow, Poland