Marek Śmieja
Cited by
Cited by
Processing of missing data by neural networks
M Śmieja, Ł Struski, J Tabor, B Zieliński, P Spurek
Advances in neural information processing systems 31, 2018
Spatial graph convolutional networks
T Danel, P Spurek, J Tabor, M Śmieja, Ł Struski, A Słowik, Ł Maziarka
International Conference on Neural Information Processing, 668-675, 2020
Hypernetwork functional image representation
S Klocek, Ł Maziarka, M Wołczyk, J Tabor, J Nowak, M Śmieja
International Conference on Artificial Neural Networks, 496-510, 2019
A classification-based approach to semi-supervised clustering with pairwise constraints
M Śmieja, Ł Struski, MAT Figueiredo
Neural Networks 127, 193-203, 2020
Zero time waste: Recycling predictions in early exit neural networks
M Wołczyk, B Wójcik, K Bałazy, IT Podolak, J Tabor, M Śmieja, T Trzcinski
Advances in Neural Information Processing Systems 34, 2516-2528, 2021
Generalized RBF kernel for incomplete data
M Śmieja, Ł Struski, J Tabor, M Marzec
Knowledge-Based Systems 173, 150-162, 2019
Constrained clustering with a complex cluster structure
M Śmieja, M Wiercioch
Advances in Data Analysis and Classification 11, 493-518, 2017
Segma: Semi-supervised gaussian mixture autoencoder
M Śmieja, M Wołczyk, J Tabor, BC Geiger
IEEE transactions on neural networks and learning systems 32 (9), 3930-3941, 2021
Semi-supervised cross-entropy clustering with information bottleneck constraint
M Śmieja, BC Geiger
Information Sciences 421, 254-271, 2017
Entropy of the Mixture of Sources and Entropy Dimension
M Smieja, J Tabor
Information Theory, IEEE Transactions on, 1-1, 2011
Semi-supervised discriminative clustering with graph regularization
M Śmieja, O Myronov, J Tabor
Knowledge-Based Systems 151, 24-36, 2018
SVM with a neutral class
M Śmieja, J Tabor, P Spurek
Pattern Analysis and Applications 22, 573-582, 2019
Average Information Content Maximization—A New Approach for Fingerprint Hybridization and Reduction
M Śmieja, D Warszycki
PLoS ONE 11 (1), e0146666, 2016
Pharmacoprint: a combination of a pharmacophore fingerprint and artificial intelligence as a tool for Computer-aided drug design
D Warszycki, Ł Struski, M Smieja, R Kafel, R Kurczab
Journal of chemical information and modeling 61 (10), 5054-5065, 2021
Fast independent component analysis algorithm with a simple closed-form solution
P Spurek, J Tabor, M Śmieja
Knowledge-Based Systems 161, 26-34, 2018
Weighted approach to general entropy function
M Śmieja
IMA Journal of Mathematical Control and Information 32 (2), 329-341, 2015
Efficient mixture model for clustering of sparse high dimensional binary data
M Śmieja, K Hajto, J Tabor
Data Mining and Knowledge Discovery 33, 1583-1624, 2019
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
Adversarial examples detection and analysis with layer-wise autoencoders
B Wójcik, P Morawiecki, M Śmieja, T Krzyżek, P Spurek, J Tabor
2021 IEEE 33rd International Conference on Tools with Artificial …, 2021
Estimating conditional density of missing values using deep gaussian mixture model
M Przewięźlikowski, M Śmieja, Ł Struski
Neural Information Processing: 27th International Conference, ICONIP 2020 …, 2020
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