prof. dr hab. Jacek Tabor dr hab. Igor T. Podolak dr Jarek Duda dr Krzysztof Misztal dr hab. Adam Roman dr Marek Śmieja dr Przemysław Spurek dr Marcin Żelawski dr Bartosz Zieliński dr Wojciech M. Czarnecki
mgr Stanisław Jastrzębski mgr Damian Leśniak mgr Maciej Mikulski mgr Agnieszka Pocha mgr Igor Sieradzki mgr Magdalena Wiercioch mgr Konrad Żołna mgr Jakub Chłędowski mgr Piotr Kowenzowski mgr Łukasz Maziarka

2018

Przemysław Spurek, Marek Śmieja, Jacek Tabor SVM with a neutral class, PATTERN ANAL APPL (2018), 17

2017

Łukasz Struski, Marek Śmieja, Jacek Tabor Semi-supervised model-based clustering with controlled clusters leakage, EXPERT SYST APPL vol. 85 (2017), 146-157
Bernhard C. Geiger, Marek Śmieja Semi-supervised cross-entropy clustering with information bottleneck constraint, INFORM SCIENCES vol. 421 (2017), 245-271
Łukasz Struski, Marek Śmieja, Jacek Tabor, Bartosz Zieliński Regression SVM for incomplete data, SCHEDAE INFORMATICAE (2017),
Konrad Kamieniecki, Krzysztof Misztal, Przemysław Spurek, Marek Śmieja, Jacek Tabor R Package CEC , NEUROCOMPUTING vol. 237 (2017), 410–413
Rafał Kafel, Marek Śmieja, Dawid Warszycki Practical application of the Average Information Content Maximization (AIC-MAX) algorithm – selection of the most important structural features for serotonin receptor ligands, MOL DIVERS vol. 21/2 (2017), 407-412
Marek Śmieja, Magdalena Wiercioch Constrained clustering with a complex cluster structure, ADV DATA ANAL CLASSI vol. 11/3 (2017), 493-518

2016

Yuliy Baryshnikov, Jarosław Duda, Wojciech Szpankowski Types of Markov Fields and Tilings, IEEE T INFORM THEORY vol. 62 Issue 8, Aug 2016 (2016), 4361 - 4375
Marek Śmieja, Dawid Warszycki Average Information Content Maximization - a new approach for fingerprint hybridization and reduction, PLOS ONE vol. 11/1 (2016), e0146666
Andrzej Gryglewski, Brandon Michael Henry, Marian Mrozek, Krzysztof Piech, Krzysztof Tomaszewski, Marcin Żelawski Sensitivity and Specificity of Fractal Analysis to Distinguish Between Healthy and Pathologic Rectal Mucosa Microvasculature Seen During Colonoscopy, SURG LAPARO ENDO PER vol. 26(5) (2016), 358–363
Szymon Nakoneczny, Marek Śmieja Natural language processing methods in biological activity prediction, PROCEEDINGS OF ECML PKDD WORKSHOP ON MACHINE LEARNING IN LIFE SCIENCES (2016), 25-36
Edward Delp, Jarosław Duda, Neeraj Gadgil, Paweł Korus, Khalid Tahboub Image-Like 2D Barcodes Using Generalizations of the Kuznetsov–Tsybakov Problem, IEEE T INF FOREN SEC vol. volume 11 issue 4 (2016), 691-703
Szymon Nakoneczny, Marek Śmieja, Jacek Tabor Fast entropy clustering of sparse high dimensional binary data, PROCEEDNIGS OF IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN 2016) (2016), 2397-2404

2015

Marek Śmieja, Jacek Tabor Entropy approximation in lossy source coding problem, ENTROPY-SWITZ vol. 17/5 (2015), 3400-3418
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, Jacek Tabor Spherical Wards clustering and generalized Voronoi diagrams, PROCEEDING OF IEEE INTERNATIONAL CONFERENCE ON DATA SCIENCE AND ADVANCED ANALYTICS vol. 36678 (2015), 10
Edward Delp, Jarosław Duda, Neeraj Gadgil, Khalid Tahboub The use of Asymmetric Numeral Systems as an accurate replacement for Huffman codin, PICTURE CODING SYMPOSIUM (PCS, PROCEEDINGS), 2015 vol. Picture Coding Symposium (PCS), 2015 (2015), 65-69
Marek Śmieja Weighted approach to general entropy function, IMA J MATH CONTROL I vol. 32/2 (2015), 329-327
Marek Śmieja, Magdalena Wiercioch Mixture of metrics optimization for machine learning problems, SCHEDAE INFORMATICAE (2015),
Marek Śmieja Mixture of metrics optimization for machine learning problems, SCHEDAE INFORMATICAE vol. 24 (2015), 133-142

2014

Andrzej Bojarski, Marek Śmieja, Jacek Tabor, Dawid Warszycki Asymmetric Clustering Index in a case study of 5-HT1A receptor ligands, PLOS ONE vol. 9(7) (2014), e102069
Edward Delp, Jarosław Duda, Neeraj Gadgil, Khalid Tahboub Generalizations of the Kuznetsov-Tsybakov problem for generating image-like 2D barcodes, IMAGE PROCESSING (ICIP), 2014 IEEE INTERNATIONAL CONFERENCE ON vol. Image Processing (ICIP), 2014 IEEE International Conference on (2014), 4221 - 4225
Krzysztof Misztal, Przemysław Spurek, Marek Śmieja Subspaces Clustering Approach to Lossy Image Compression, LECTURE NOTES IN COMPUTER SCIENCE vol. 8838 (2014), 571-579
Marek Śmieja, Jacek Tabor Renyi entropy dimension of the mixture of measures, PROCEEDINGS OF SCIENCE AND INFORMATION CONFERENCE (2014), 685-689
Yuliy Baryshnikov, Jarosław Duda, Wojciech Szpankowski Markov Fields Types and Tilings, INFORMATION THEORY (ISIT), 2014 IEEE INTERNATIONAL SYMPOSIUM ON vol. Information Theory (ISIT), 2014 IEEE International Symposium on (2014), 2639 - 2643

2013

Marek Śmieja, Jacek Tabor Image segmentation with use of cross-entropy clustering, ADVANCES IN INTELLIGENT SYSTEMS AND COMPUTING vol. 226 (2013), 403-409

2012

Andrzej Gryglewski, Andrzej Krajniak, Marian Mrozek, Han Sejin, Marcin Żelawski Homological methods for extraction and analysis of linear features in multidimensional images, PATTERN RECOGN vol. 45(1) (2012), 285-298
Marek Śmieja, Jacek Tabor Entropy of the mixture of source and entropy dimension, IEEE T INFORM THEORY vol. 58(5) (2012), 2719-2728
Jarosław Duda From Maximal Entropy Random Walk to quantum thermodynamics, JOURNAL OF PHYSICS: CONFERENCE SERIES, VOLUME 361, CONFERENCE 1 vol. Journal of Physics: Conference Series, Volume 361, conference 1 (2012),

2011

Tomasz Baron, Marcin Cwynar, Tomasz Grodzicki, Barbara Gryglewska, Marian Mrozek, Mirosław Nęcki, Marcin Żelawski Fractal dimensions of skin microcirculation flow in subjects with familial predisposition or newly diagnosed hypertension, CARDIOLOGY JOURNAL, FORMERLY FOLIA CARDIOLOGICA vol. 18, No. 1 (2011), 26-32

2010

Tomasz Grodzicki, Barbara Gryglewska, Mirosław Nęcki, Marcin Żelawski Entropy of skin microcirculation flow in subjects with familial predisposition or newly diagnosed hypertension, CARDIOVASCULAR RESEARCH vol. 87 (2010), S54-S54

2009

Marcin Żelawski Detecting Pathologies with Homology Algorithms in Magnetic Resonance Images of Brain, MACHINE GRAPHICS & VISION: INTERNATIONAL JOURNAL vol. 18, No. 3 (2009), 253-266
Andrzej Gryglewski, Andrzej Krajniak, Marian Mrozek, Han Sejin, Marcin Żelawski Homological Methods in Feature Extraction of Multidimensional Images, PROCEEDINGS OF THE 2009 2ND INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, IEEE (2009), 1061-1066

2005

Marcin Żelawski Pattern Recognition Based on Homology Theory, MACHINE GRAPHICS & VISION: INTERNATIONAL JOURNAL vol. 14, No. 3 (2005), 309-324

Contact Us

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