Marek Śmieja
TytułCytowane przezRok
Entropy of the Mixture of Sources and Entropy Dimension
M Smieja, J Tabor
Information Theory, IEEE Transactions on, 1-1, 2011
162011
Constrained clustering with a complex cluster structure
M Śmieja, M Wiercioch
Advances in Data Analysis and Classification 11 (3), 493-518, 2017
122017
Average Information Content Maximization—A New Approach for Fingerprint Hybridization and Reduction
M Śmieja, D Warszycki
PLoS ONE 11 (1), e0146666, 2016
102016
Asymmetric clustering index in a case study of 5-HT1A receptor ligands
M Śmieja, D Warszycki, J Tabor, AJ Bojarski
PloS one 9 (7), e102069, 2014
102014
Spherical Wards clustering and generalized Voronoi diagrams
M Śmieja, J Tabor
Data Science and Advanced Analytics (DSAA) 36678, 10, 2015
82015
Weighted approach to general entropy function
M Śmieja
IMA Journal of Mathematical Control and Information 32 (2), 329-341, 2014
82014
Semi-supervised cross-entropy clustering with information bottleneck constraint
M Śmieja, BC Geiger
Information Sciences 421, 254-271, 2017
72017
Semi-supervised model-based clustering with controlled clusters leakage
M Śmieja, Ł Struski, J Tabor
Expert Systems with Applications 85, 146-157, 2017
62017
Image segmentation with use of cross-entropy clustering
M Śmieja, J Tabor
Proceedings of the 8th International Conference on Computer Recognition …, 2013
62013
R package cec
P Spurek, K Kamieniecki, J Tabor, K Misztal, M Śmieja
Neurocomputing 237, 410-413, 2017
52017
Entropy approximation in lossy source coding problem
M Śmieja, J Tabor
Entropy 17 (5), 3400-3418, 2015
42015
Fast independent component analysis algorithm with a simple closed-form solution
P Spurek, J Tabor, M Śmieja
Knowledge-Based Systems 161, 26-34, 2018
32018
Subspaces clustering approach to lossy image compression
P Spurek, M Śmieja, K Misztal
IFIP International Conference on Computer Information Systems and Industrial …, 2015
32015
Generalized RBF kernel for incomplete data
M Śmieja, Ł Struski, J Tabor, M Marzec
Knowledge-Based Systems 173, 150-162, 2019
22019
Processing of missing data by neural networks
M Śmieja, Ł Struski, J Tabor, B Zieliński, P Spurek
Advances in Neural Information Processing Systems, 2719-2729, 2018
22018
Incomplete data representation for SVM classification
L Struski, M Smieja, J Tabor
arXiv preprint arXiv:1612.01480, 2016
22016
Fast entropy clustering of sparse high dimensional binary data
M Śmieja, S Nakoneczny, J Tabor
2016 International Joint Conference on Neural Networks (IJCNN), 2397-2404, 2016
22016
Deep processing of structured data
Ł Maziarka, M Śmieja, A Nowak, J Tabor, Ł Struski, P Spurek
arXiv preprint arXiv:1810.01868, 2018
12018
Semi-supervised discriminative clustering with graph regularization
M Śmieja, O Myronov, J Tabor
Knowledge-Based Systems 151, 24-36, 2018
12018
Efficient mixture model for clustering of sparse high dimensional binary data
M Śmieja, K Hajto, J Tabor
Data Mining and Knowledge Discovery, 1-42, 2017
12017
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