2018

K Rataj, W Czarnecki, S Podlewska, A Pocha, AJ Bojarski, Substructural Connectivity Fingerprint and Extreme Entropy Machines—A New Method of Compound Representation and Analysis, Molecules 23 (6), 1242 (2018)

A Pocha, K Misztal, P Morkisz, Short review of dimensionality reduction methods for failure detection, Schedae Informaticae 2017 (Volume 26) (2018)

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),

Oleksandr Myronov, Marek Śmieja, Jacek Tabor Semi-supervised discriminative clustering with graph regularization, KNOWL-BASED SYST vol. 151 (2018), 24-36

2017

Bernhard C. Geiger, Marek Śmieja Semi-supervised cross-entropy clustering with information bottleneck constraint, INFORM SCIENCES vol. 421 (2017), 245-271

Przemysław Spurek, Marek Śmieja, Jacek Tabor SVM with a neutral class, PATTERN ANAL APPL (2017), 17

Andrzej Bojarski, Wojciech Czarnecki, Stanisław Jastrzębski, Damian Leśniak, Sabina Podlewska Quo vadis G Protein-Coupled Receptor ligands? A tool for analysis of the emergence of new groups of compounds over time, BIOORG MED CHEM LETT vol. 27 (2017), 626-631

Konrad Kamieniecki, Krzysztof Misztal, Przemysław Spurek, Marek Śmieja, Jacek Tabor R Package CEC , NEUROCOMPUTING vol. 237 (2017), 410–413

Łukasz Struski, Marek Śmieja, Jacek Tabor, Bartosz Zieliński Regression SVM for incomplete data, SCHEDAE INFORMATICAE (2017),

Marek Śmieja, Magdalena Wiercioch Constrained clustering with a complex cluster structure, ADV DATA ANAL CLASSI vol. 11/3 (2017), 493-518

Wojciech Czarnecki, Stanisław Jastrzębski, Damian Leśniak How to evaluate word embeddings? On importance of data efficiency and simple supervised tasks, ARXIV (2017),

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

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

Łukasz Struski, Marek Śmieja, Jacek Tabor Semi-supervised model-based clustering with controlled clusters leakage, EXPERT SYST APPL vol. 85 (2016), 146-157

Wojciech Czarnecki, Stanisław Jastrzębski, Damian Leśniak Learning to SMILE(S), INTERNATIONAL CONFERENCE ON LEARNING REPRESENTATIONS (WORKSHOP TRACK) (2016),

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 Weighted approach to general entropy function, IMA J MATH CONTROL I vol. 32/2 (2015), 329-327

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, Magdalena Wiercioch Mixture of metrics optimization for machine learning problems, SCHEDAE INFORMATICAE vol. 24 (2015), 133-142

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

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

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

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

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

Marek Śmieja, Jacek Tabor Renyi entropy dimension of the mixture of measures, PROCEEDINGS OF SCIENCE AND INFORMATION CONFERENCE (2014), 685-689

Krzysztof Misztal, Przemysław Spurek, Marek Śmieja Subspaces Clustering Approach to Lossy Image Compression, LECTURE NOTES IN COMPUTER SCIENCE vol. 8838 (2014), 571-579

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

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),